WO2025112600A1 - 内容生成方法、装置和非易失性计算机可读存储介质 - Google Patents

内容生成方法、装置和非易失性计算机可读存储介质 Download PDF

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Publication number
WO2025112600A1
WO2025112600A1 PCT/CN2024/108470 CN2024108470W WO2025112600A1 WO 2025112600 A1 WO2025112600 A1 WO 2025112600A1 CN 2024108470 W CN2024108470 W CN 2024108470W WO 2025112600 A1 WO2025112600 A1 WO 2025112600A1
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Prior art keywords
virtual object
content
plot
skill
confrontation
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English (en)
French (fr)
Inventor
孙展鹏
张子健
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Beijing Zitiao Network Technology Co Ltd
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Beijing Zitiao Network Technology Co Ltd
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Publication of WO2025112600A1 publication Critical patent/WO2025112600A1/zh
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    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/55—Controlling game characters or game objects based on the game progress
    • A63F13/58—Controlling game characters or game objects based on the game progress by computing conditions of game characters, e.g. stamina, strength, motivation or energy level
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/60—Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor
    • A63F13/63—Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor by the player, e.g. authoring using a level editor

Definitions

  • the present disclosure relates to the field of computer technology, and in particular to a content generation method, a content generation device, and a non-volatile computer-readable storage medium.
  • confrontation scenes between virtual objects are often involved.
  • Such confrontation scenes can be presented in a variety of implementation forms.
  • virtual objects can be controlled to engage in confrontation based on various operations input by users; and confrontation scenes can also be presented using pre-generated fixed text content.
  • a content generation method including: obtaining relevant information of a first virtual object and relevant information of a second virtual object that are engaged in confrontation, the relevant information being used to describe attribute characteristics of the virtual objects; and generating plot content describing the confrontation between the first virtual object and the second virtual object based on the relevant information of the first virtual object and the relevant information of the second virtual object.
  • the relevant information includes at least one of the character attributes or skill attributes of the virtual object
  • generating plot content describing the confrontation between the first virtual object and the second virtual object includes: determining the plot content based on at least one of the comparison results of the character attributes of the first virtual object and the character attributes of the second virtual object, or the comparison results of the skill attributes of the first virtual object and the skill attributes of the second virtual object.
  • the plot content includes description content of a first virtual object performing a first skill, and description content of a second virtual object performing a second skill.
  • the plot content includes description content of the first virtual object's reaction to the second skill, and description content of the second virtual object's reaction to the first skill.
  • the character attributes include the character's current health information
  • the skill attributes include the character's Skill information obtained from previous plots of multimedia content.
  • generating plot content describing a confrontation between a first virtual object and a second virtual object includes: determining at least one of a first associated virtual object of the first virtual object or a second associated virtual object of the second virtual object based on a previous plot of the interactive multimedia content; generating plot content describing a confrontation between a first virtual object set and a second virtual object set, the first virtual object set including at least one of the first virtual object or the first associated virtual object, and the second virtual object set including at least one of the second virtual object or the second associated virtual object.
  • generating plot content describing a confrontation between a first set of virtual objects and a second set of virtual objects includes: determining, based on a previous plot, at least one of a first joint skill attribute of a first virtual object and a first associated virtual object, or a second joint skill attribute of a second virtual object and a second associated virtual object; and generating plot content based on at least one of the first joint skill attribute or the second joint skill attribute.
  • generating plot content describing a confrontation between a first virtual object and a second virtual object includes: generating content prompt information based on relevant information of the first virtual object and relevant information of the second virtual object; and generating plot content using a machine learning model based on the content prompt information.
  • the content generation method further includes: displaying the plot content to the user, where the plot content includes at least one of text content or image content.
  • the image content is generated based on the text content.
  • the text content includes a plurality of paragraphs
  • the image content includes a plurality of images
  • each of the plurality of paragraphs is displayed together with a corresponding image.
  • the image content is video content generated based on multiple images.
  • the text styles of the content corresponding to the first virtual object and the content corresponding to the second virtual object in the text content are different.
  • the text content includes multiple paragraphs
  • displaying the plot content to the user includes: displaying the multiple paragraphs to the user at the same time; or displaying one of the multiple paragraphs to the user each time in the order in which the multiple paragraphs occur.
  • the plot content includes confrontation process content and confrontation result content.
  • a content generating device including: an acquiring unit, for acquiring relevant information of a first virtual object and relevant information of a second virtual object that are engaged in confrontation, the relevant information being used to describe attribute characteristics of the virtual objects; and a generating unit, for generating plot content describing a confrontation between the first virtual object and the second virtual object based on the relevant information of the first virtual object and the relevant information of the second virtual object.
  • the relevant information includes at least one of a character attribute or a skill attribute of the virtual object.
  • the generating unit determines the plot content according to at least one of a comparison result of a character attribute of the first virtual object and a character attribute of the second virtual object, or a comparison result of a skill attribute of the first virtual object and a skill attribute of the second virtual object.
  • the plot content includes description content of a first virtual object performing a first skill, and description content of a second virtual object performing a second skill.
  • the plot content includes description content of the first virtual object's reaction to the second skill, and description content of the second virtual object's reaction to the first skill.
  • the character attributes include the character's current health information
  • the skill attributes include the skill information acquired by the character in previous plots of the interactive multimedia content.
  • the generation unit determines at least one of a first associated virtual object of a first virtual object or a second associated virtual object of a second virtual object based on a previous plot of the interactive multimedia content, and generates plot content describing a confrontation between a first virtual object set and a second virtual object set, wherein the first virtual object set includes at least one of the first virtual object or the first associated virtual object, and the second virtual object set includes at least one of the second virtual object or the second associated virtual object.
  • the generation unit determines at least one of the first joint skill attribute of the first virtual object and the first associated virtual object, or the second joint skill attribute of the second virtual object and the second associated virtual object based on the previous plot; and generates plot content based on at least one of the first joint skill attribute or the second joint skill attribute.
  • the generation unit generates content prompt information based on relevant information of the first virtual object and relevant information of the second virtual object, and generates plot content using a machine learning model based on the content prompt information.
  • the content generation device further includes: a display unit, configured to display plot content to a user, wherein the plot content includes at least one of text content or image content.
  • the image content is generated based on the text content.
  • the text content includes a plurality of paragraphs
  • the image content includes a plurality of images
  • each of the plurality of paragraphs is displayed together with a corresponding image.
  • the image content is video content generated based on multiple images.
  • the text styles of the content corresponding to the first virtual object and the content corresponding to the second virtual object in the text content are different.
  • the text content includes multiple paragraphs
  • the display unit displays the multiple paragraphs to the user at the same time, or displays one of the multiple paragraphs to the user each time in the order in which the multiple paragraphs occur.
  • the plot content includes confrontation process content and confrontation result content.
  • a content generating device comprising: a memory; and a processor coupled to the memory, wherein the processor is configured to execute the content generating method in any of the above embodiments based on instructions stored in the memory device.
  • a non-volatile computer-readable storage medium on which a computer program is stored.
  • the program is executed by a processor, the content generating method in any of the above embodiments is implemented.
  • FIG1 is a flowchart showing some embodiments of the content generation method of the present disclosure
  • FIGS. 2a to 2e are schematic diagrams showing some embodiments of plot content presentation of the present disclosure.
  • 3a to 3d are schematic diagrams showing other embodiments of plot content display of the present disclosure.
  • FIG4 is a block diagram showing some embodiments of the content generation device of the present disclosure.
  • FIG5 is a block diagram showing some other embodiments of the content generation device of the present disclosure.
  • FIG. 6 is a block diagram showing still some embodiments of the content generating device of the present disclosure.
  • the present disclosure proposes a content generation technology solution that can improve the interactive effect of computer applications in confrontation scenarios.
  • the confrontation scenario can be presented in two forms.
  • the first form of presentation is to control the confrontation between virtual objects based on various operations input by the user.
  • a confrontation scene such as a fighting game
  • the character controlled by the user is one of the opponents
  • other characters controlled by other users or directly set in the game are the other side of the confrontation.
  • Users need to continuously perform game operations (such as selecting skills, etc.) to promote the confrontation in the game.
  • the confrontation scene is only part of the game plot.
  • the user's intention is only to understand the confrontation process, rather than spending time and energy to actively perform game operations.
  • the user needs to perform operations such as selecting the game mode, which leads to a heavy operation burden on the user. Therefore, the confrontation operation required by this form of display is relatively cumbersome, resulting in poor human-computer interaction effect.
  • the second form of presentation is text presentation, which directly presents the confrontation scene through text. These texts are determined in advance before presentation, so the confrontation scenes expressed by these texts are fixed, similar to the process of directly reading a novel.
  • the second form of presentation has limitations and can only display confrontation scenarios of determined processes. It has poor flexibility and results in poor human-computer interaction effects.
  • the technical solution of the present disclosure can be used to generate confrontational plot content to improve the interactive effect of computer applications in confrontational scenarios.
  • the technical solution of the present disclosure can be implemented through the following embodiments.
  • the content generation method includes: step 110, obtaining relevant information of a first virtual object and relevant information of a second virtual object that are engaged in confrontation; step 120, generating plot content describing the confrontation between the first virtual object and the second virtual object based on the relevant information of the first virtual object and the relevant information of the second virtual object.
  • a matching confrontation scenario can be generated according to the attribute characteristics of the virtual object currently being confronted.
  • it reduces tedious and frequent user operations and can adaptively generate a confrontation scenario that matches the current confrontation scenario; on the other hand, it avoids the server from processing a large number of images to display the confrontation scenario, reducing the processing burden and transmission burden.
  • the interactive effect of computer applications in confrontation scenarios is improved.
  • step 110 relevant information of the first virtual object and relevant information of the second virtual object in confrontation is obtained.
  • the relevant information is used to describe the attribute characteristics of the virtual object.
  • the relevant information includes at least one of the role attribute or skill attribute of the virtual object.
  • the relevant information may be determined based on previous plots of the interactive multimedia content.
  • the interactive multimedia content includes games, interactive stories, interactive comics, and interactive dramas.
  • relevant information of the virtual object can be obtained from a stored virtual object database.
  • the current character attributes of the virtual object can be obtained from an attribute database; and the skill attributes of the skills possessed by the virtual object can be obtained from a skill database.
  • the following uses some embodiments to exemplify the role attributes and skill attributes in the relevant information.
  • the character attributes and skill attributes of the virtual objects of the two parties can be determined. For example, the current various character attributes of the virtual object and the various skills and their skill attributes can be determined based on the previous plot related to the virtual object.
  • the character attributes of the virtual object may include respective attributes such as current health value, energy value, ability value, etc.
  • the numerical value corresponding to each character attribute may be determined based on the experience and behavior of the virtual object in the previous plot.
  • the skills and skill attributes of the virtual object can be determined based on the skills acquired by the user in the main plot of the multimedia interactive content.
  • the skill attributes may include the skill name, skill effect, skill damage value, etc.
  • the user has acquired skill A and skill B.
  • the skill attributes of these skills can be determined, such as whether the opponent's health can be reduced when these skills are released.
  • the two opposing virtual objects include a user character A and an opposing character B, which can be obtained from the main storyline: the current health value of the user character A is ⁇ character A health value>, and the health value of the opposing character B is ⁇ opponent character B health value>; the skills possessed by the user character A are ⁇ user character A skills>, and the skills possessed by the opposing character B are ⁇ opponent character B skills>; the skill attributes of each skill are obtained from the storage database ⁇ skill database> of each skill.
  • the following uses some embodiments to illustrate how to determine the two opposing parties.
  • the roles of the two opposing parties need to be determined first.
  • the two opposing parties can be separate virtual objects or a team composed of multiple virtual objects.
  • the first associated virtual object of the first virtual object or the second associated virtual object of the second virtual object is determined; and the first virtual object set and the second virtual object set for confrontation are determined.
  • the first virtual object set includes at least one of the first virtual object or the first associated virtual object
  • the second virtual object set includes at least one of the second virtual object or the second associated virtual object.
  • other virtual objects that may form a team with the virtual object may be determined based on other virtual objects that the virtual object encountered in previous plots, interactions with other virtual objects, the behavior of the virtual object, etc.
  • the opposing roles can be one-to-one (such as a first virtual object against a second virtual object), one-to-many (such as a first virtual object against a second virtual object and its second associated virtual object, or a second virtual object against a first virtual object and its first associated virtual object), or many-to-many (such as a first virtual object and its first associated virtual object against a second virtual object and its second associated virtual object).
  • first associated virtual objects that can form a team with the first virtual object to fight against the second virtual object can be determined based on the previous plot; multiple second associated virtual objects that can form a team with the second virtual object to fight against the first virtual object can also be determined based on the previous plot.
  • two teams that fight against each other, or one team that fights against one virtual object are determined.
  • the plot content of the confrontation can be generated by continuing with step 120 in FIG. 1 .
  • step 120 based on the relevant information of the first virtual object and the relevant information of the second virtual object, a plot content describing the confrontation between the first virtual object and the second virtual object is generated.
  • a matching confrontation scenario is generated according to the attribute characteristics of the virtual object currently being confronted. In this way, not only the cumbersome and frequent user operations are reduced, but also a confrontation scenario matching the current confrontation scenario can be adaptively generated. Thus, the interactive effect of computer applications in the confrontation scenario is improved.
  • content prompt information is generated based on the relevant information of the first virtual object and the relevant information of the second virtual object; and plot content is generated using a machine learning model based on the content prompt information.
  • the machine learning model may be an NLP (natural language processing, natural language processing) model such as an LLM (Large Language Model) that can generate natural language content based on the provided prompt information.
  • NLP natural language processing, natural language processing
  • LLM Large Language Model
  • the following uses some embodiments to illustrate how to generate content prompt information as prompt information input into a machine learning model.
  • the two virtual objects in confrontation include: user character A and antagonistic character B;
  • the character attributes obtained from the main storyline include: the current health value of user character A is ⁇ character A health value>, the current health value of antagonistic character B is ⁇ antagonistic character B health value>, the skills held by user character A are ⁇ user character A skills>, and the skills held by antagonistic character B are ⁇ antagonistic character B skills>;
  • the skill attributes of each skill are obtained from the storage database ⁇ skill database> of each skill.
  • Prompt information can be generated as content prompt information: "There are two characters, including ⁇ user character A> and ⁇ antagonist character B>. Now the health value of ⁇ user character A> is ⁇ character A health value>, the health value of ⁇ antagonist character B> is ⁇ antagonist character B health value>, the skills held by ⁇ user character A> are ⁇ user character A skills>, and the skills held by ⁇ antagonist character B> are ⁇ antagonist character B skills>.
  • the above information can be obtained from the main storyline, and the skill attributes of each skill can refer to the skill storage database ⁇ skill database>. Please generate a plot content of the confrontation process based on the above information to describe the confrontation process between ⁇ user character A> and ⁇ antagonist character B>, and give the ending of the confrontation.”
  • step 110 it can be determined that the two virtual objects in confrontation include: user character A and antagonistic character B; based on the plot related to user character A, it can be determined that the associated characters that can team up with user character A to confront antagonistic character B include associated character A1; from the main plot, character attributes are obtained including: the current health value of user character A is ⁇ character A health value>, the current health value of associated character A1 is ⁇ character A1 health value>, the health value of antagonistic character B is ⁇ antagonistic character B health value>, the skills held by user character A are ⁇ user character A skills>, the skills held by associated character A1 are ⁇ user character A1 skills>, and the skills held by antagonistic character B are ⁇ antagonistic character B skills>; the skill attributes of each skill are obtained from the storage database ⁇ skill database> of each skill.
  • the following prompt information can be generated as content prompt information: "There are three roles, including ⁇ User Role A>, ⁇ Associated Role A1> and ⁇ Anti Role B>.
  • the health value of ⁇ User Role A> is ⁇ Role A Health Value>
  • the health value of ⁇ Associated Role A1> is ⁇ Associated Role A1 Health Value>
  • the health value of ⁇ Anti Role B> is ⁇ Anti Role B Health Value>
  • the skills held by ⁇ User Role A> are ⁇ User Role A Skills>
  • the skills held by ⁇ Associated Role A1> are ⁇ Associated Role A1 Skills>
  • the skills held by ⁇ Anti Role B> are ⁇ Anti Role B Skills>.
  • the above information can be obtained from the main storyline, and the skill attributes of each skill can refer to the skill attributes. Please generate a plot of the confrontation process based on the above information to describe the confrontation process between ⁇ User Role A> and ⁇ Associated Role A1> forming a team and ⁇ Confrontation Role B>, and give the outcome of the confrontation.
  • the above-mentioned prompt information can be input into the machine learning model to generate the plot content in the adversarial scenario.
  • the machine learning model can generate confrontation process content based on the skill attributes of the virtual object in the prompt information.
  • the confrontation process content may include a description of the virtual object performing the skill it possesses, such as "the first virtual object performs skill A", and a description of the virtual object's reaction to the skill, such as "the second virtual object dodges and performs skill B”.
  • the machine learning model can determine the confrontation result and generate confrontation result content based on the role attributes, skill attributes, etc. of the virtual object in the prompt information.
  • the confrontation result content may include descriptions of the winner and loser of this confrontation, such as "Finally, the first virtual object defeated the second virtual object.”
  • the plot content is determined based on at least one of a comparison result of a character attribute of a first virtual object and a character attribute of a second virtual object, or a comparison result of a skill attribute of a first virtual object and a skill attribute of a second virtual object.
  • the machine learning model can determine the winner and the loser of the confrontation based on the character attributes such as the health value of the first virtual object and the health value of the second virtual object in the Prompt information, combined with the skill attributes such as the damage value of the skill performed by the first virtual object and the damage value of the skill of the second virtual object.
  • At least one of a first associated virtual object of the first virtual object or a second associated virtual object of the second virtual object is determined; and plot content describing the confrontation between the first virtual object set and the second virtual object set is generated.
  • the first virtual object set includes at least one of the first virtual object or the first associated virtual object
  • the second virtual object set includes at least one of the second virtual object or the second associated virtual object.
  • the character attributes obtained include: the current health value of user character A is ⁇ character A health value>, the current health value of associated character A1 is ⁇ character A1 health value>, the health value of antagonistic character B is ⁇ antagonistic character B health value>, and the skills held by user character A are ⁇ User character A skills>, the skills held by the associated character A1 are ⁇ User character A1 skills>, and the skills held by the antagonistic character B are ⁇ Anti-character B skills>; the skill attributes of each skill are obtained from the storage database ⁇ Skill database> of each skill.
  • the Prompt information based on the above information can be input into the machine learning model to generate the plot content of the confrontation between team A and antagonistic character B.
  • the machine learning model can generate confrontation process content based on the skill attributes of each virtual object in team A and the skill attributes of the opposing character B in the prompt information.
  • the confrontation process content may include a description of the virtual object performing the skills it possesses, such as "user character A performs skill A, and associated character A1 performs skill A1", and a description of the virtual object's reaction to the skills, such as "opposing character B dodges and performs skill B”.
  • the machine learning model can determine the confrontation result and generate confrontation result content based on the comparison results of the role attributes and skill attributes of each virtual object in team A in the prompt information with the role attributes and skill attributes of the confrontation role B.
  • the confrontation result content may include the description of the winner and loser of this confrontation, such as "Finally, user role A and associated role A1 defeated confrontation role B".
  • the machine learning model can determine the winner and loser of the confrontation based on the role attributes such as the health value of each virtual object in Team A and the health value of the opposing character B in the Prompt information, combined with the skill attributes such as the damage value of the skills performed by each virtual object in Team A and the damage value of the skills of the opposing character B.
  • At least one of the first joint skill attribute of the first virtual object and the first associated virtual object, or the second joint skill attribute of the second virtual object and the second associated virtual object is determined; and plot content is generated based on at least one of the first joint skill attribute or the second joint skill attribute.
  • joint skill A' can be performed; and the skill attributes of joint skill A' are obtained from the storage database ⁇ skill database> of each skill.
  • the Prompt information based on the above information can be input into the machine learning model to generate plot content of the confrontation between team A and antagonistic character B, such as "user character A and associated character A1 jointly perform skill A'".
  • the plot content is displayed to the user.
  • the plot content includes at least one of text content or image content.
  • the plot content can be displayed through the embodiments in Figures 2a to 2e.
  • FIGS. 2a to 2e are schematic diagrams showing some embodiments of the plot content presentation of the present disclosure.
  • the image display area 21 is used to display image content related to the plot content
  • the text display area Field 22 is used to display the plot content.
  • the plot content can be displayed below the image content, or other layouts can be used for display.
  • the image display area 21 can display the initial images of the two confronting parties, such as the image 211a of the first virtual object and the image 212a of the second virtual object.
  • the plot content of the first virtual object and the second virtual object competing against each other is displayed in the text display area 22.
  • the plot content can be generated in the manner of any of the above embodiments.
  • the image content displayed in the image display area 21 can change with the plot content displayed in the text display area 22, so that the confrontation process is displayed more clearly, thereby improving the effect of human-computer interaction.
  • the image content is video content generated based on multiple images.
  • the above-mentioned display method of image content and plot content can be realized through the embodiment of Figure 2c.
  • the text content in the text display area 22 includes multiple paragraphs, and multiple paragraphs can be displayed to the user at the same time. For example, if all paragraphs cannot be displayed at the same time, some paragraphs can be displayed to the user, and the user can view the related paragraphs by flipping through them.
  • the text display area 22 displays the plot content about the first virtual object and the second virtual object performing their respective skills; the image display area 21 corresponds to the plot content, displaying the image 211b of the first virtual object performing skill A and the image 212b of the second virtual object performing skill B.
  • the image display area 21 can display the image content corresponding to all paragraphs in the form of video segments.
  • the image 211b of the first virtual object and the image 212b of the second virtual object correspond to the video segment of the first virtual object performing skill A and the video segment of the second virtual object performing skill B, respectively.
  • the text content displayed in the text display area 22 includes multiple paragraphs, and the image content includes multiple images, and each of the multiple paragraphs is displayed together with the corresponding image.
  • one of the multiple paragraphs can be displayed to the user each time in the order in which the multiple paragraphs occur, so that the confrontation process is displayed more clearly, thereby improving the effect of human-computer interaction.
  • each paragraph can be displayed one by one through the embodiments of Figures 2d and 2e to achieve the above-mentioned display method of image content and plot content.
  • an image matching the confrontation process of the paragraph can be displayed in the image display area 22.
  • artificial intelligence technology can be used to generate a matching image based on the currently displayed paragraph.
  • the plot content includes a description of the first virtual object performing the first skill, and the second For example, when the paragraph displayed in the text display area 22 in FIG. 2d is “the first virtual object performs skill A”, the image display area 21 displays an image 211b of the first virtual object performing skill A that matches the paragraph.
  • the plot content includes a description of the first virtual object's reaction to the second skill, and a description of the second virtual object's reaction to the first skill.
  • the image display area 22 displays an image 212b of the second virtual object performing skill B that matches the paragraph.
  • the image display area 21 may be in the form of continuously displaying pictures or in the form of videos.
  • the text content corresponding to the first virtual object and the content corresponding to the second virtual object have different text styles.
  • the text style may include color, font, size, etc. In this way, the confrontation process is displayed more clearly, thereby improving the effect of human-computer interaction.
  • the paragraphs related to the first virtual object are in non-italic font
  • the paragraphs related to the second virtual object are in italic font.
  • the different plots of the two parties can be distinguished and displayed by marking them in red.
  • the technical solution in any of the above embodiments can be applied to the display of the fighting scene of the secondary line of the game.
  • the main line of the game involves a fight between a character controlled by the user and an opposing character
  • the technical solution in any of the above embodiments can be used to display the text description process of the controlled character and the opposing character during the fight.
  • the confrontation plot can be automatically generated according to the relevant information of the current confrontation parties, which reduces the user's operation behavior and reduces the difficulty of operation; moreover, compared with the display of pre-prepared fixed plots, it is more flexible and can adaptively generate a confrontation plot that matches the current situation, thereby improving the human-computer interaction effect.
  • 3a to 3d are schematic diagrams showing other embodiments of the plot content display of the present disclosure.
  • the image display area 31 can display an image 311a of the first virtual object team, and the image 311a includes the images of the first virtual object and the first associated virtual object; the image display area 31 can also display an image 312 of the second virtual object; the text display area 32 is used to display the plot content of the first virtual object team competing with the second virtual object.
  • the first associated virtual object can form a first virtual object team with the first virtual object
  • the second associated character can form a second virtual object team with the second virtual object
  • the first virtual object team can compete with the second virtual object team.
  • the image display area 31 can display an image 311a of the first virtual object team, which includes the images of the first virtual object and the first associated virtual object
  • the image display area 31 can also display an image 312a of the second virtual object team, which includes the images of the second virtual object and the second associated character
  • the text display area 32 is used to display the plot content of the first virtual object team competing with the second virtual object team.
  • FIGS. 3 c and 3 d show the contents displayed in the image display area 31 and the text display area 32 when the first virtual object team competes with the second virtual object team.
  • the plot content currently displayed in the text display area 32 is “the first virtual object in the first virtual object team performs skill A”, and the image display area 31 displays an image 311b of the first virtual object performing skill A that matches the paragraph.
  • the plot content currently displayed in the text display area 32 is “the second virtual object team dodges and performs joint skill C”, and the image display area 31 displays an image 312b of the second virtual object and the second associated virtual object performing joint skill C that matches the paragraph.
  • FIG. 4 is a block diagram showing some embodiments of a content generation device of the present disclosure.
  • the content generating device 4 includes: an acquisition unit 41, which is used to obtain relevant information of the first virtual object and relevant information of the second virtual object that are in confrontation, and the relevant information is used to describe the attribute characteristics of the virtual objects; a generation unit 42, which is used to generate plot content describing the confrontation between the first virtual object and the second virtual object based on the relevant information of the first virtual object and the relevant information of the second virtual object.
  • the relevant information includes at least one of the character attributes or skill attributes of the virtual object
  • the generation unit 42 determines the plot content based on at least one of the comparison results of the character attributes of the first virtual object and the character attributes of the second virtual object, or the comparison results of the skill attributes of the first virtual object and the skill attributes of the second virtual object.
  • the plot content includes description content of a first virtual object performing a first skill, and description content of a second virtual object performing a second skill.
  • the plot content includes description content of the first virtual object's reaction to the second skill, and description content of the second virtual object's reaction to the first skill.
  • the character attributes include the character's current health information
  • the skill attributes include the character's Skill information obtained from previous plots of multimedia content.
  • the generation unit 42 determines at least one of the first associated virtual object of the first virtual object or the second associated virtual object of the second virtual object based on the previous plot of the interactive multimedia content, and generates plot content describing the confrontation between the first virtual object set and the second virtual object set, the first virtual object set including at least one of the first virtual object or the first associated virtual object, and the second virtual object set including at least one of the second virtual object or the second associated virtual object.
  • the generation unit 42 determines at least one of the first joint skill attribute of the first virtual object and the first associated virtual object, or the second joint skill attribute of the second virtual object and the second associated virtual object based on the previous plot; and generates plot content based on at least one of the first joint skill attribute or the second joint skill attribute.
  • the generation unit 42 generates content prompt information based on relevant information of the first virtual object and relevant information of the second virtual object, and generates plot content using a machine learning model based on the content prompt information.
  • the content generating device 4 further includes: a display unit 43, which is used to display the plot content to the user, and the plot content includes at least one of text content or image content.
  • the image content is generated based on the text content.
  • the text content includes a plurality of paragraphs
  • the image content includes a plurality of images
  • each of the plurality of paragraphs is displayed together with a corresponding image.
  • the image content is video content generated based on multiple images.
  • the text styles of the content corresponding to the first virtual object and the content corresponding to the second virtual object in the text content are different.
  • the text content includes multiple paragraphs
  • the display unit displays the multiple paragraphs to the user at the same time, or displays one of the multiple paragraphs to the user each time in the order in which the multiple paragraphs occur.
  • the plot content includes confrontation process content and confrontation result content.
  • FIG. 5 is a block diagram showing some other embodiments of the content generating device of the present disclosure.
  • the content generating device 5 of this embodiment includes: a memory 51 and a processor 52 coupled to the memory 51 , and the processor 52 is configured to execute the content generating method in any one of the embodiments of the present disclosure based on instructions stored in the memory 51 .
  • the memory 51 may include, for example, a system memory, a fixed non-volatile storage medium, etc.
  • the system memory may store, for example, an operating system, an application program, a boot loader, a database, and other programs. wait.
  • FIG. 6 is a block diagram showing still some embodiments of the content generating device of the present disclosure.
  • the content generating device 6 of this embodiment includes: a memory 610 and a processor 620 coupled to the memory 610 , and the processor 620 is configured to execute the content generating method in any one of the aforementioned embodiments based on instructions stored in the memory 610 .
  • the memory 610 may include, for example, a system memory, a fixed non-volatile storage medium, etc.
  • the system memory may store, for example, an operating system, an application program, a boot loader, and other programs.
  • the content generation device 6 may also include an input/output interface 630, a network interface 640, a storage interface 650, etc. These interfaces 630, 640, 650, the memory 610, and the processor 620 may be connected, for example, via a bus 660.
  • the input/output interface 630 provides a connection interface for input/output devices such as a display, a mouse, a keyboard, a touch screen, a microphone, and a speaker.
  • the network interface 640 provides a connection interface for various networked devices.
  • the storage interface 650 provides a connection interface for external storage devices such as an SD card and a USB flash drive.
  • the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable non-transient storage media including but not limited to disk storage, CD-ROM, optical storage, etc., which contain computer-usable program code.
  • the method and system of the present disclosure may be implemented in many ways.
  • the method and system of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware.
  • the above order of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above, unless otherwise specifically stated.
  • the present disclosure may also be implemented as a program recorded in a recording medium, which includes machine-readable instructions for implementing the method according to the present disclosure. Therefore, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

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Abstract

提供了一种内容生成方法、装置和非易失性计算机可读存储介质，涉及计算机技术领域。内容生成方法包括：获取进行对抗的第一虚拟对象的相关信息和第二虚拟对象的相关信息，相关信息用于描述虚拟对象的属性特征；根据第一虚拟对象的相关信息和第二虚拟对象的相关信息，生成描述第一虚拟对象与第二虚拟对象进行对抗的情节内容。

Description

内容生成方法、装置和非易失性计算机可读存储介质
相关申请的交叉引用
本申请是以CN申请号为202311598850.1，申请日为2023年11月27日的申请为基础，并主张其优先权，该CN申请的公开内容在此作为整体引入本申请中。
技术领域
本公开涉及计算机技术领域，特别涉及一种内容生成方法、内容生成装置和非易失性计算机可读存储介质。
背景技术
在游戏、互动故事等计算机应用中，经常会涉及虚拟对象之间的对抗场景。对于这种对抗场景，可以通过多种实现形式进行展现。
在相关技术中，可以根据用户输入的各种操作，控制虚拟对象之间进行对抗；还可以利用预先生成的固定文字内容，展现对抗场景。
发明内容
根据本公开的一些实施例，提供了一种内容生成方法，包括：获取进行对抗的第一虚拟对象的相关信息和第二虚拟对象的相关信息，相关信息用于描述虚拟对象的属性特征；根据第一虚拟对象的相关信息和第二虚拟对象的相关信息，生成描述第一虚拟对象与第二虚拟对象进行对抗的情节内容。
在一些实施例中，相关信息包括虚拟对象的角色属性或技能属性中的至少一项，生成描述第一虚拟对象与第二虚拟对象进行对抗的情节内容包括：根据第一虚拟对象的角色属性与第二虚拟对象的角色属性的比较结果，或者第一虚拟对象的技能属性与第二虚拟对象的技能属性的比较结果中的至少一项确定情节内容。
在一些实施例中，情节内容包括第一虚拟对象施展第一技能的描述内容，以及第二虚拟对象施展第二技能的描述内容。
在一些实施例中，情节内容包括第一虚拟对象对第二技能的反应的描述内容，以及第二虚拟对象对第一技能的反应的描述内容。
在一些实施例中，角色属性包括角色当前的生命值信息，技能属性包括角色在互 动多媒体内容的之前剧情中获取的技能信息。
在一些实施例中，生成描述第一虚拟对象与第二虚拟对象进行对抗的情节内容包括：根据互动多媒体内容的之前剧情，确定第一虚拟对象的第一关联虚拟对象或第二虚拟对象的第二关联虚拟对象中的至少一个；生成描述第一虚拟对象集合与第二虚拟对象集合进行对抗的情节内容，第一虚拟对象集合包括第一虚拟对象或第一关联虚拟对象中的至少一个，第二虚拟对象组合包括第二虚拟对象或第二关联虚拟对象中的至少一个。
在一些实施例中，生成描述第一虚拟对象集合与第二虚拟对象集合进行对抗的情节内容包括：根据之前剧情，确定第一虚拟对象和第一关联虚拟对象的第一联合技能属性，或者第二虚拟对象和第二关联虚拟对象的第二联合技能属性中的至少一个；根据第一联合技能属性或第二联合技能属性中的至少一项，生成情节内容。
在一些实施例中，生成描述第一虚拟对象与第二虚拟对象进行对抗的情节内容包括：根据第一虚拟对象的相关信息，以及第二虚拟对象的相关信息，生成内容提示信息；根据内容提示信息，利用机器学习模型生成情节内容。
在一些实施例中，内容生成方法还包括：向用户展示情节内容，情节内容包括文本内容或影像内容中的至少一项。
在一些实施例中，影像内容根据文本内容生成。
在一些实施例中，文本内容包括多个段落，影像内容包括多张图像，多个段落中的每一个与对应的图像一块展示。
在一些实施例中，影像内容为根据多张图像生成的视频内容。
在一些实施例中，文本内容中与第一虚拟对象对应的内容和第二虚拟对象对应的内容的文本样式不同。
在一些实施例中，文本内容包括多个段落，向用户展示情节内容包括：同时向用户展示多个段落；或者按照多个段落的发生顺序，每次向用户展示多个段落中的一个。
在一些实施例中，情节内容包括对抗过程内容和对抗结果内容。
根据本公开的另一些实施例，提供一种内容生成装置，包括：获取单元，用于获取进行对抗的第一虚拟对象的相关信息和第二虚拟对象的相关信息，相关信息用于描述虚拟对象的属性特征；生成单元，用于根据第一虚拟对象的相关信息和第二虚拟对象的相关信息，生成描述第一虚拟对象与第二虚拟对象进行对抗的情节内容。
在一些实施例中，相关信息包括虚拟对象的角色属性或技能属性中的至少一项， 生成单元根据第一虚拟对象的角色属性与第二虚拟对象的角色属性的比较结果，或者第一虚拟对象的技能属性与第二虚拟对象的技能属性的比较结果中的至少一项确定情节内容。
在一些实施例中，情节内容包括第一虚拟对象施展第一技能的描述内容，以及第二虚拟对象施展第二技能的描述内容。
在一些实施例中，情节内容包括第一虚拟对象对第二技能的反应的描述内容，以及第二虚拟对象对第一技能的反应的描述内容。
在一些实施例中，角色属性包括角色当前的生命值信息，技能属性包括角色在互动多媒体内容的之前剧情中获取的技能信息。
在一些实施例中，生成单元根据互动多媒体内容的之前剧情，确定第一虚拟对象的第一关联虚拟对象或第二虚拟对象的第二关联虚拟对象中的至少一个，生成描述第一虚拟对象集合与第二虚拟对象集合进行对抗的情节内容，第一虚拟对象集合包括第一虚拟对象或第一关联虚拟对象中的至少一个，第二虚拟对象组合包括第二虚拟对象或第二关联虚拟对象中的至少一个。
在一些实施例中，生成单元根据之前剧情，确定第一虚拟对象和第一关联虚拟对象的第一联合技能属性，或者第二虚拟对象和第二关联虚拟对象的第二联合技能属性中的至少一个；根据第一联合技能属性或第二联合技能属性中的至少一项，生成情节内容。
在一些实施例中，生成单元根据第一虚拟对象的相关信息，以及第二虚拟对象的相关信息，生成内容提示信息，根据内容提示信息，利用机器学习模型生成情节内容。
在一些实施例中，内容生成装置还包括：展示单元，用于向用户展示情节内容，情节内容包括文本内容或影像内容中的至少一项。
在一些实施例中，影像内容根据文本内容生成。
在一些实施例中，文本内容包括多个段落，影像内容包括多张图像，多个段落中的每一个与对应的图像一块展示。
在一些实施例中，影像内容为根据多张图像生成的视频内容。
在一些实施例中，文本内容中与第一虚拟对象对应的内容和第二虚拟对象对应的内容的文本样式不同。
在一些实施例中，文本内容包括多个段落，展示单元同时向用户展示多个段落，或者按照多个段落的发生顺序，每次向用户展示多个段落中的一个。
在一些实施例中，情节内容包括对抗过程内容和对抗结果内容。
根据本公开的又一些实施例，提供一种内容生成装置，包括：存储器；和耦接至存储器的处理器，处理器被配置为基于存储在存储器装置中的指令，执行上述任一个实施例中的内容生成方法。
根据本公开的再一些实施例，提供一种非易失性计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述任一个实施例中的内容生成方法。
附图说明
构成说明书的一部分的附图描述了本公开的实施例，并且连同说明书一起用于解释本公开的原理。
参照附图，根据下面的详细描述，可以更加清楚地理解本公开：
图1示出本公开的内容生成方法的一些实施例的流程图；
图2a～2e示出本公开的情节内容展示的一些实施例的示意图；
图3a～3d示出本公开的情节内容展示的另一些实施例的示意图；
图4示出本公开的内容生成装置的一些实施例的框图；
图5示出本公开的内容生成装置的另一些实施例的框图；
图6示出本公开的内容生成装置的又一些实施例的框图。
具体实施方式
现在将参照附图来详细描述本公开的各种示例性实施例。应注意到：除非另外具体说明，否则在这些实施例中阐述的部件和步骤的相对布置、数字表达式和数值不限制本公开的范围。
同时，应当明白，为了便于描述，附图中所示出的各个部分的尺寸并不是按照实际的比例关系绘制的。
以下对至少一个示例性实施例的描述实际上仅仅是说明性的，决不作为对本公开及其应用或使用的任何限制。
对于相关领域普通技术人员已知的技术、方法和设备可能不作详细讨论，但在适当情况下，技术、方法和设备应当被视为说明书的一部分。
在这里示出和讨论的所有示例中，任何具体值应被解释为仅仅是示例性的，而不是作为限制。因此，示例性实施例的其它示例可以具有不同的值。
应注意到：相似的标号和字母在下面的附图中表示类似项，因此，一旦某一项在一个附图中被定义，则在随后的附图中不需要对其进行进一步讨论。
本公开的发明人发现上述相关技术中存在如下问题：需要繁琐、频繁的互动操作实现对抗，或者无法对当前情况下的对抗情景进行准确展现，导致对抗场景下计算机应用的互动效果差。
鉴于此，本公开提出了一种内容生成技术方案，能够提高对抗场景下计算机应用的互动效果。
如前所述，可以通过两种形式，展现对抗场景。
第一种展现形式为根据用户输入的各种操作，控制虚拟对象之间的对抗。例如，在格斗游戏等的对抗场景中，用户控制的角色作为对抗的一方，其他用户控制的或游戏中直接设置的其他角色作为对抗的另一方。用户而言需要不断进行游戏操作(如选取技能等)，才能推动游戏中的对抗。
但是，在一些情况下，对抗场景仅是游戏剧情的一部分。用户的意图仅包括了解对抗过程，而不是花费时间和精力去主动执行游戏操作。在展现对抗场景的过程中，用户需要进行选取游戏方式等操作，导致用户的操作负担较大。因此，这种展现形式需要的对抗操作较为繁琐，导致人机互动效果差。
另外，采用多帧画面来展现对抗场景，会产生较大的服务器处理负担和流量传输负担。这样，游戏会出现卡顿等不流畅现象，导致人机互动效果差。
第二种展现形式为文字展示形态，即直接通过文字呈现对抗场景。这些文字是预先确定后再进行展示的，所以这些文字表达的对抗场景是固定的，类似于直接看小说的过程。
因此，第二种展现形式具有局限性，仅能展示出已确定过程的对抗场景，灵活性差，导致人机互动效果差。
针对上述技术问题，可以通过本公开的技术方案生成对抗的情节内容，以提高对抗场景下计算机应用的互动效果。例如，可以通过下面的实施例实现本公开的技术方案。
图1示出本公开的内容生成方法的一些实施例的流程图。
如图1所示，内容生成方法包括：步骤110，获取进行对抗的第一虚拟对象的相关信息和第二虚拟对象的相关信息；步骤120，根据第一虚拟对象的相关信息和第二虚拟对象的相关信息，生成描述第一虚拟对象与第二虚拟对象进行对抗的情节内容。
这样，可以根据当前进行对抗的虚拟对象的属性特征，生成匹配的对抗情节。一方面，减少了繁琐、频繁的用户操作，能够自适应地生成与当前对抗场景匹配的对抗情节；另一方面，避免了服务器通过处理大量画面来展现对抗情节，降低了处理负担和传输负担。从而，提高了对抗场景下计算机应用的互动效果。
在步骤110中，获取进行对抗的第一虚拟对象的相关信息和第二虚拟对象的相关信息。相关信息用于描述虚拟对象的属性特征。例如，相关信息包括虚拟对象的角色属性或技能属性中的至少一项。
在一些实施例中，相关信息可以根据互动多媒体内容的之前剧情确定。例如，互动多媒体内容包括游戏、互动故事、互动漫画和互动剧集等。
例如，可以从存储的虚拟对象数据库中，获取虚拟对象的相关信息。虚拟对象当前的角色属性可以从属性数据库中获取；虚拟对象持有技能的技能属性可以从技能数据库中获取。
下面通过一些实施例，对相关信息中的角色属性和技能属性进行示例性说明。
在一些实施例中，可以在确定了对抗的双方虚拟对象后，确定双方虚拟对象的角色属性和技能属性。例如，可以根据与虚拟对象相关的之前剧情，确定该虚拟对象目前的各种角色属性以及持有的各项技能及其技能属性。
例如，虚拟对象的角色属性可以包括当前生命值、能量值、能力值等各自属性。可以根据虚拟对象在之前剧情中的经历、行为等，确定各角色属性对应的数值。
例如，可以根据用户在多媒体互动内容的主线剧情中获得的技能，确定虚拟对象的所持技能及其技能属性。技能属性可以包括技能名称、技能效果、技能伤害值等。
例如，当前在主线剧情中，用户获取了技能A和技能B。对于用户已经获取的这些技能，可以确定这些技能的技能属性，如在释放这些技能的情况下可以减少对方的生命值等。
下面通过一些实施例，对如何获取角色属性和技能属性进行示例性说明。
在一些实施例中，两个对抗的虚拟对象包括用户角色A和对抗角色B，可以从主线剧情中获取：当前用户角色A的生命值为<角色A生命值>，对抗角色B的生命值为<对抗角色B生命值>；用户角色A所持有的技能为<用户角色A技能>，对抗角色B所持有的技能为<对抗角色B技能>；从各技能的存储数据库<技能数据库>中，获取各技能的技能属性。
下面通过一些实施例，对如何确定对抗的双方进行示例性说明。
在一些实施例中，在对抗场景中，首先需要确定对抗的双方角色。例如，对抗双方可以是单独的虚拟对象，也可以是多个虚拟对象组成的团队。
在一些实施例中，根据互动多媒体内容的之前剧情，确定第一虚拟对象的第一关联虚拟对象或第二虚拟对象的第二关联虚拟对象中的至少一个；确定进行对抗的第一虚拟对象集合和第二虚拟对象集合。例如，第一虚拟对象集合包括第一虚拟对象或第一关联虚拟对象中的至少一个，第二虚拟对象组合包括第二虚拟对象或第二关联虚拟对象中的至少一个。
例如，可以根据虚拟对象在之前的剧情中遇到的其他虚拟对象、与其他虚拟对象之间的互动、该虚拟对象的行为等，确定可能与该虚拟对象组成一个团队的其他虚拟对象。
在一些实施例中，对抗的双方角色可以是一对一(如第一虚拟对象对抗第二虚拟对象)、一对多(如第一虚拟对象对抗第二虚拟对象及其第二关联虚拟对象，或者第二虚拟对象对抗第一虚拟对象及其第一关联虚拟对象)或者多对多(如第一虚拟对象及其第一关联虚拟对象对抗第二虚拟对象及其第二关联虚拟对象)的形式。
例如，在第一虚拟对象遭遇到第二虚拟对象的情况下，可以根据之前的剧情，确定能够与第一虚拟对象组成团队共同对抗第二虚拟对象的多个第一关联虚拟对象；也可以根据之前的剧情，确定能够与第二虚拟对象组成团队共同对抗第一虚拟对象的多个第二关联虚拟对象。从而，确定进行对抗的两个团队，或者与一个虚拟对象对抗的一个团队。
在确定了对抗的双方虚拟对象，并获取了各虚拟对象的相关信息后，可以继续用图1中的步骤120生成对抗的情节内容。
在步骤120中，根据第一虚拟对象的相关信息和第二虚拟对象的相关信息，生成描述第一虚拟对象与第二虚拟对象进行对抗的情节内容。
在上述实施例中，根据当前进行对抗的虚拟对象的属性特征，生成匹配的对抗情节。这样，不但减少了繁琐、频繁的用户操作，而且能够自适应地生成与当前对抗场景匹配的对抗情节。从而，提高了对抗场景下计算机应用的互动效果。
在一些实施例中，根据第一虚拟对象的相关信息，以及第二虚拟对象的相关信息，生成内容提示信息；根据内容提示信息，利用机器学习模型生成情节内容。例如，机器学习模型可以为LLM(Large Language Model，大语言模型)等能够根据提供的Prompt(提示)信息生成自然语言内容的NLP(natural language processing，自然语 言处理)模型。这样，能够通过机器学习模型提高情节内容的生成质量，从而提高人机互动的效果。
下面通过一些实施例，对如何生成内容提示信息作为输入机器学习模型的Prompt信息进行示例性说明。
在一些实施例中，通过上面关于步骤110的实施例，可以确定对抗的两个虚拟对象包括：用户角色A和对抗角色B；从主线剧情中获取的角色属性包括：用户角色A当前的生命值为<角色A生命值>，对抗角色B当前的生命值为<对抗角色B生命值>，用户角色A所持有的技能为<用户角色A技能>，对抗角色B所持有的技能为<对抗角色B技能>；从各技能的存储数据库<技能数据库>中，获取各技能的技能属性。
在此基础上，例如可以生成下面的Prompt信息作为内容提示信息“有两个角色，包括<用户角色A>和<对抗角色B>，现在<用户角色A>的生命值为<角色A生命值>，<对抗角色B>的生命值为<对抗角色B生命值>，<用户角色A>所持有的技能为<用户角色A技能>，<对抗角色B>所持有的技能为<对抗角色B技能>，上述信息可以从主线剧情中获取，各技能的技能属性可以参照技能的存储数据库<技能数据库>，请根据上述信息生成一段对抗过程的情节内容，以描述<用户角色A>和<对抗角色B>的对抗过程，并给出对抗的结局”。
在一些实施例中，通过上面关于步骤110的实施例，可以确定对抗的两个虚拟对象包括：用户角色A和对抗角色B；根据与用户角色A相关的剧情，可以确定能够与用户角色A组队与对抗角色B进行对抗的关联角色包括关联角色A1；从主线剧情中，获取了角色属性包括：用户角色A当前的生命值为<角色A生命值>，关联角色A1当前的生命值为<角色A1生命值>，对抗角色B的生命值为<对抗角色B生命值>，用户角色A所持有的技能为<用户角色A技能>，关联角色A1所持有的技能为<用户角色A1技能>，对抗角色B所持有的技能为<对抗角色B技能>；从各技能的存储数据库<技能数据库>中，获取各技能的技能属性。
在此基础上，例如可以生成下面的Prompt信息作为内容提示信息“有三个角色，包括<用户角色A>、<关联角色A1>和<对抗角色B>，现在<用户角色A>的生命值为<角色A生命值>，<关联角色A1>的生命值为<关联角色A1生命值>，<对抗角色B>的生命值为<对抗角色B生命值>，<用户角色A>所持有的技能为<用户角色A技能>，<关联角色A1>所持有的技能为<关联角色A1技能>，<对抗角色B>所持有的技能为<对抗角色B技能>，上述信息可以从主线剧情中获取，各技能的技能属性可以参照技 能的存储数据库<技能数据库>，请根据上述信息生成一段对抗过程的情节内容，以描述<用户角色A>与<关联角色A1>组成团队和<对抗角色B>的对抗过程，并给出对抗的结局”。
在生成了上述Prompt信息后，可以将上述Prompt信息输入机器学习模型，生成对抗场景下的情节内容。
在一些实施例中，情节内容包括对抗过程内容和对抗结果内容。
例如，机器学习模型可以根据Prompt信息中的虚拟对象的技能属性，生成对抗过程内容。例如，对抗过程内容可以包括虚拟对象施展其所持有的技能的描述，如“第一虚拟对象施展技能A”，以及虚拟对象对技能的反应的描述内容，如“第二虚拟对象闪避，并施展技能B”。
例如，机器学习模型可以根据Prompt信息中的虚拟对象的角色属性、技能属性等，确定对抗结果并生成对抗结果内容。例如，对抗结果内容可以包括本次对抗的胜利方和失败方的描述内容，如“最终，第一虚拟对象战胜第二虚拟对象”。
在一些实施例中，根据第一虚拟对象的角色属性与第二虚拟对象的角色属性的比较结果，或者第一虚拟对象的技能属性与第二虚拟对象的技能属性的比较结果中的至少一项确定情节内容。
例如，机器学习模型可以根据Prompt信息中的第一虚拟对象的生命值、第二虚拟对象的生命值等角色属性，结合第一虚拟对象施展的技能的伤害值、第二虚拟对象的技能的伤害值等技能属性，确定此次对抗的胜利方和失败方。
这样，能够提高情节内容与当前情况的匹配程度，从而提高人机互动的效果。
下面通过一些实施例，对在团队对抗的情况下生成情节内容进行示例性说明。
在一些实施例中，根据互动多媒体内容的之前剧情，确定第一虚拟对象的第一关联虚拟对象或第二虚拟对象的第二关联虚拟对象中的至少一个；生成描述第一虚拟对象集合与第二虚拟对象集合进行对抗的情节内容。第一虚拟对象集合包括第一虚拟对象或第一关联虚拟对象中的至少一个，第二虚拟对象组合包括第二虚拟对象或第二关联虚拟对象中的至少一个。
例如，根据与用户角色A相关的剧情，可以确定能够与用户角色A组成团队A并与对抗角色B进行对抗的关联角色A1；从主线剧情中，获取了角色属性包括：用户角色A当前的生命值为<角色A生命值>，关联角色A1当前的生命值为<角色A1生命值>，对抗角色B的生命值为<对抗角色B生命值>，用户角色A所持有的技能为 <用户角色A技能>，关联角色A1所持有的技能为<用户角色A1技能>，对抗角色B所持有的技能为<对抗角色B技能>；从各技能的存储数据库<技能数据库>中，获取各技能的技能属性。
可以将基于上述信息的Prompt信息输入机器学习模型，以生成团队A与对抗角色B进行对抗的情节内容。
例如，机器学习模型可以根据Prompt信息中的团队A中各虚拟对象的技能属性以及对抗角色B的技能属性，生成对抗过程内容。例如，对抗过程内容可以包括虚拟对象施展其所持有的技能的描述，如“用户角色A施展技能A，关联角色A1施展技能A1”，以及虚拟对象对技能的反应的描述内容，如“对抗角色B闪避，并施展技能B”。
例如，机器学习模型可以根据Prompt信息中的团队A中各虚拟对象的角色属性、技能属性与对抗角色B的角色属性、技能属性的比较结果，确定对抗结果并生成对抗结果内容。例如，对抗结果内容可以包括本次对抗的胜利方和失败方的描述内容，如“最终，用户角色A和关联角色A1战胜对抗角色B”。
例如，机器学习模型可以根据Prompt信息中的团队A中各虚拟对象的生命值、对抗角色B的生命值等角色属性，结合团队A中各虚拟对象施展的技能的伤害值、对抗角色B的技能的伤害值等技能属性，确定此次对抗的胜利方和失败方。
在一些实施例中，根据之前剧情，确定第一虚拟对象和第一关联虚拟对象的第一联合技能属性，或者第二虚拟对象和第二关联虚拟对象的第二联合技能属性中的至少一个；根据第一联合技能属性或第二联合技能属性中的至少一项，生成情节内容。
例如，可以根据与用户角色A和关联角色A1相关的剧情，确定在用户角色A和关联角色A1进行组队的情况下，可以施展联合技能A'；从各技能的存储数据库<技能数据库>中，获取联合技能A'的技能属性。
可以将基于上述信息的Prompt信息输入机器学习模型，以生成团队A与对抗角色B进行对抗的情节内容，如“用户角色A联合关联角色A1施展技能A'”。
这样，能够提高情节内容与当前情况的匹配程度，从而提高人机互动的效果。
在一些实施例中，向用户展示情节内容。情节内容包括文本内容或影像内容中的至少一项。例如，可以通过图2a～2e中的实施例展示情节内容。
图2a～2e示出本公开的情节内容展示的一些实施例的示意图。
如图2a所示，影像展示区域21用于展示情节内容相关的影像内容，文字展示区 域22用于展示情节内容。例如，情节内容可以在影像内容的下方进行展示，也可以采用其他布局展示。
在一些实施例中，如图2b所示，在确认了进行对抗的双方虚拟对象为第一虚拟对象和第二虚拟对象的情况下，影像展示区域21可以展示对抗双方的初始图像，如第一虚拟对象的影像211a和第二虚拟对象的影像212a。
在一些实施例中，在文字展示区域22中展示第一虚拟对象与第二虚拟对象进行对抗的情节内容。例如，情节内容可以上述任一个实施例中的方式生成。
在一些实施例中，影像展示区域21展示的影像内容可以随着文字展示区域22展示的情节内容变化，使得对抗的过程展示更加清晰，从而提高人机互动的效果。例如，影像内容为根据多张图像生成的视频内容。例如，可以通过图2c的实施例，来实现上述影像内容和情节内容的展示方式。
如图2c所示，文字展示区域22中的文本内容包括多个段落，可以同时向用户展示多个段落。例如，在无法同时展示所有段落的情况下，可以向用户展示部分段落，用户可以通过翻阅操作查看其与的段落。
例如，文字展示区域22展示了关于第一虚拟对象和第二虚拟对象施展各自技能的情节内容；影像展示区域21对应于该情节内容，展示第一虚拟对象施展技能A的影像211b和第二虚拟对象施展技能B的影像212b。
如图2c所示，在文字展示区域22将所有段落一起进行展示的情况下，影像展示区域21可以采用视频段的形式，展示所有段落对应的影像内容。例如，第一虚拟对象的影像211b和第二虚拟对象的影像212b，分别对应第一虚拟对象施展技能A的视频段和第二虚拟对象施展技能B的视频段。
在一些实施例中，文字展示区域22展示的文本内容包括多个段落，影像内容包括多张图像，多个段落中的每一个与对应的图像一块展示。例如，可以按照多个段落的发生顺序，每次向用户展示多个段落中的一个，这样，使得对抗的过程展示更加清晰，从而提高人机互动的效果。例如，可以通过图2d、2e的实施例对各段落进行逐一展示，来实现上述影像内容和情节内容的展示方式。
如图2d～2e所示，在对各段落逐一进行展示的情况下，可以在文字展示区域22展示一个段落时，在影像展示区域22展示与该段落的对抗过程匹配的影像。例如，可以采用人工智能技术，根据当前展示的段落生成匹配的影像。
在一些实施例中，情节内容包括第一虚拟对象施展第一技能的描述内容，以及第 二虚拟对象施展第二技能的描述内容。例如，在图2d中的文字展示区域22展示的段落为“第一虚拟对象施展技能A”的情况下，影像展示区域21展示与该段落匹配的第一虚拟对象施展技能A的影像211b。
在一些实施例中，情节内容包括第一虚拟对象对第二技能的反应的描述内容，以及第二虚拟对象对第一技能的反应的描述内容。例如，在图2e中的文字展示区域21展示的段落为“第二虚拟对象闪避，并施展技能B”的情况下，影像展示区域22展示与该段落匹配的第二虚拟对象施展技能B的影像212b。
例如，影像展示区域21可以采用连续展示图片的形式，也可以采用视频的形式。
在一些实施例中，文本内容中与第一虚拟对象对应的内容和第二虚拟对象对应的内容的文本样式不同。例如，文本样式可以包括颜色、字体、大小等。这样，使得对抗的过程展示更加清晰，从而提高人机互动的效果。
例如，图2c～2e中涉及第一虚拟对象的段落采用非斜体，涉及第二虚拟对象的段落采用斜体。
例如，对于对抗的双方，可以通过标红等方式将双方的不同情节进行区分展示。
在一些实施例中，在游戏主线的应用场景下，可以将上述任一个实施例中的技术方案应用到游戏副线的打斗场景展示中。例如，游戏主线中涉及到用户控制的角色与对抗角色的打斗，可以使用上述任一个实施例中的技术方案，展示控制的角色与对抗角色在打斗时的文字描述过程。
在上述实施例中，能够根据当前对抗双方的相关信息，自动生成对抗情节，减少了用户的操作行为，降低操作难度；而且，相较于对预先准备的固定情节进行展示，灵活性更强，能够自适应地生成与当前情景匹配的对抗情节，从而提高了人机互动效果。
下面通过图3a～3d的实施例，对在团队对抗的情况下的情节内容展示进行示例性说明。
图3a～3d示出本公开的情节内容展示的另一些实施例的示意图。
如图3a所示，在确定了第一关联虚拟对象能够与第一虚拟对象组成第一虚拟对象团队与第二虚拟对象进行对抗的情况下，影像展示区域31可以显示第一虚拟对象团队的影像311a，影像311a中包括第一虚拟对象和第一关联虚拟对象的影像；影像展示区域31还可以显示第二虚拟对象的影像312；文字展示区域32用于展示第一虚拟对象团队与第二虚拟对象进行对抗的情节内容。
如图3b所示，第一关联虚拟对象能够与第一虚拟对象组成第一虚拟对象团队，第二关联角色能够与第二虚拟对象组成第二虚拟对象团队，且第一虚拟对象团队能够与第二虚拟对象团队进行对抗。在这种情况下，影像展示区域31可以显示第一虚拟对象团队的影像311a，影像311a中包括第一虚拟对象和第一关联虚拟对象的影像；影像展示区域31还可以显示第二虚拟对象团队的影像312a，影像312a中包括第二虚拟对象和第二关联角色的影像；文字展示区域32用于展示第一虚拟对象团队与第二虚拟对象团队进行对抗的情节内容。
例如，图3c、3d示出了在第一虚拟对象团队与第二虚拟对象团队进行对抗的情况下，影像展示区域31和文字展示区域32展示的内容。
如图3c所示，文字展示区域32当前展示的情节内容为“第一虚拟对象团队中的第一虚拟对象施展技能A”，影像展示区域31展示与该段落匹配的第一虚拟对象施展技能A的影像311b。
如图3d所示，根据与第二虚拟对象相关的之前情节，确定第二虚拟对象与第二关联虚拟对象能够施展联合技能C。在这种情况下，文字展示区域32当前展示的情节内容为“第二虚拟对象团队闪避，并施展联合技能C”，影像展示区域31展示与该段落匹配的第二虚拟对象和第二关联虚拟对象施展联合技能C的影像312b。
图4示出本公开的内容生成装置的一些实施例的框图。
如图4所示，内容生成装置4包括：获取单元41，用于获取进行对抗的第一虚拟对象的相关信息和第二虚拟对象的相关信息，相关信息用于描述虚拟对象的属性特征；生成单元42，用于根据第一虚拟对象的相关信息和第二虚拟对象的相关信息，生成描述第一虚拟对象与第二虚拟对象进行对抗的情节内容。
在一些实施例中，相关信息包括虚拟对象的角色属性或技能属性中的至少一项，生成单元42根据第一虚拟对象的角色属性与第二虚拟对象的角色属性的比较结果，或者第一虚拟对象的技能属性与第二虚拟对象的技能属性的比较结果中的至少一项确定情节内容。
在一些实施例中，情节内容包括第一虚拟对象施展第一技能的描述内容，以及第二虚拟对象施展第二技能的描述内容。
在一些实施例中，情节内容包括第一虚拟对象对第二技能的反应的描述内容，以及第二虚拟对象对第一技能的反应的描述内容。
在一些实施例中，角色属性包括角色当前的生命值信息，技能属性包括角色在互 动多媒体内容的之前剧情中获取的技能信息。
在一些实施例中，生成单元42根据互动多媒体内容的之前剧情，确定第一虚拟对象的第一关联虚拟对象或第二虚拟对象的第二关联虚拟对象中的至少一个，生成描述第一虚拟对象集合与第二虚拟对象集合进行对抗的情节内容，第一虚拟对象集合包括第一虚拟对象或第一关联虚拟对象中的至少一个，第二虚拟对象组合包括第二虚拟对象或第二关联虚拟对象中的至少一个。
在一些实施例中，生成单元42根据之前剧情，确定第一虚拟对象和第一关联虚拟对象的第一联合技能属性，或者第二虚拟对象和第二关联虚拟对象的第二联合技能属性中的至少一个；根据第一联合技能属性或第二联合技能属性中的至少一项，生成情节内容。
在一些实施例中，生成单元42根据第一虚拟对象的相关信息，以及第二虚拟对象的相关信息，生成内容提示信息，根据内容提示信息，利用机器学习模型生成情节内容。
在一些实施例中，内容生成装置4还包括：展示单元43，用于向用户展示情节内容，情节内容包括文本内容或影像内容中的至少一项。
在一些实施例中，影像内容根据文本内容生成。
在一些实施例中，文本内容包括多个段落，影像内容包括多张图像，多个段落中的每一个与对应的图像一块展示。
在一些实施例中，影像内容为根据多张图像生成的视频内容。
在一些实施例中，文本内容中与第一虚拟对象对应的内容和第二虚拟对象对应的内容的文本样式不同。
在一些实施例中，文本内容包括多个段落，展示单元同时向用户展示多个段落，或者按照多个段落的发生顺序，每次向用户展示多个段落中的一个。
在一些实施例中，情节内容包括对抗过程内容和对抗结果内容。
图5示出本公开的内容生成装置的另一些实施例的框图。
如图5所示，该实施例的内容生成装置5包括：存储器51以及耦接至该存储器51的处理器52，处理器52被配置为基于存储在存储器51中的指令，执行本公开中任意一个实施例中的内容生成方法。
其中，存储器51例如可以包括系统存储器、固定非易失性存储介质等。系统存储器例如存储有操作系统、应用程序、引导装载程序Boot Loader、数据库以及其他程序 等。
图6示出本公开的内容生成装置的又一些实施例的框图。
如图6所示，该实施例的内容生成装置6包括：存储器610以及耦接至该存储器610的处理器620，处理器620被配置为基于存储在存储器610中的指令，执行前述任意一个实施例中的内容生成方法。
存储器610例如可以包括系统存储器、固定非易失性存储介质等。系统存储器例如存储有操作系统、应用程序、引导装载程序Boot Loader以及其他程序等。
内容生成装置6还可以包括输入输出接口630、网络接口640、存储接口650等。这些接口630、640、650以及存储器610和处理器620之间例如可以通过总线660连接。其中，输入输出接口630为显示器、鼠标、键盘、触摸屏、麦克、音箱等输入输出设备提供连接接口。网络接口640为各种联网设备提供连接接口。存储接口650为SD卡、U盘等外置存储设备提供连接接口。
本领域内的技术人员应当明白，本公开的实施例可提供为方法、系统、或计算机程序产品。因此，本公开可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本公开可采用在一个或多个其中包含有计算机可用程序代码的计算机可用非瞬时性存储介质包括但不限于磁盘存储器、CD-ROM、光学存储器等上实施的计算机程序产品的形式。
至此，已经详细描述了根据本公开的内容生成方法、内容生成装置和非易失性计算机可读存储介质。为了避免遮蔽本公开的构思，没有描述本领域所公知的一些细节。本领域技术人员根据上面的描述，完全可以明白如何实施这里公开的技术方案。
可能以许多方式来实现本公开的方法和系统。例如，可通过软件、硬件、固件或者软件、硬件、固件的任何组合来实现本公开的方法和系统。用于方法的步骤的上述顺序仅是为了进行说明，本公开的方法的步骤不限于以上具体描述的顺序，除非以其它方式特别说明。此外，在一些实施例中，还可将本公开实施为记录在记录介质中的程序，这些程序包括用于实现根据本公开的方法的机器可读指令。因而，本公开还覆盖存储用于执行根据本公开的方法的程序的记录介质。
虽然已经通过示例对本公开的一些特定实施例进行了详细说明，但是本领域的技术人员应该理解，以上示例仅是为了进行说明，而不是为了限制本公开的范围。本领域的技术人员应该理解，可在不脱离本公开的范围和精神的情况下，对以上实施例进行修改。本公开的范围由所附权利要求来限定。

Claims (20)

  1. 一种内容生成方法，包括：
    获取进行对抗的第一虚拟对象的相关信息和第二虚拟对象的相关信息，所述相关信息用于描述虚拟对象的属性特征；
    根据所述第一虚拟对象的相关信息和所述第二虚拟对象的相关信息，生成描述所述第一虚拟对象与所述第二虚拟对象进行对抗的情节内容。
  2. 根据权利要求1所述的内容生成方法，其中，所述相关信息包括虚拟对象的角色属性或技能属性中的至少一项，
    所述生成描述所述第一虚拟对象与所述第二虚拟对象进行对抗的情节内容包括：
    根据所述第一虚拟对象的角色属性与所述第二虚拟对象的角色属性的比较结果，或者所述第一虚拟对象的技能属性与所述第二虚拟对象的技能属性的比较结果中的至少一项确定所述情节内容。
  3. 根据权利要求2所述的内容生成方法，其中，所述情节内容包括所述第一虚拟对象施展第一技能的描述内容，以及所述第二虚拟对象施展第二技能的描述内容。
  4. 根据权利要求3所述的内容生成方法，其中，所述情节内容包括所述第一虚拟对象对所述第二技能的反应的描述内容，以及所述第二虚拟对象对所述第一技能的反应的描述内容。
  5. 根据权利要求2-4任一项所述的内容生成方法，其中，所述角色属性包括角色当前的生命值信息，所述技能属性包括角色在互动多媒体内容的之前剧情中获取的技能信息。
  6. 根据权利要求1-5任一项所述的内容生成方法，其中，所述生成描述所述第一虚拟对象与所述第二虚拟对象进行对抗的情节内容包括：
    根据互动多媒体内容的之前剧情，确定所述第一虚拟对象的第一关联虚拟对象或所述第二虚拟对象的第二关联虚拟对象中的至少一个；
    生成描述第一虚拟对象集合与第二虚拟对象集合进行对抗的所述情节内容，所述第一虚拟对象集合包括所述第一虚拟对象或所述第一关联虚拟对象中的至少一个，所述第二虚拟对象组合包括所述第二虚拟对象或所述第二关联虚拟对象中的至少一个。
  7. 根据权利要求6所述的内容生成方法，其中，所述生成描述第一虚拟对象集合与第二虚拟对象集合进行对抗的所述情节内容包括：
    根据所述之前剧情，确定所述第一虚拟对象和所述第一关联虚拟对象的第一联合技能属性，或者所述第二虚拟对象和所述第二关联虚拟对象的第二联合技能属性中的至少一个；
    根据所述第一联合技能属性或所述第二联合技能属性中的至少一项，生成所述情节内容。
  8. 根据权利要求1-7任一项所述的内容生成方法，其中，所述生成描述所述第一虚拟对象与所述第二虚拟对象进行对抗的情节内容包括：
    根据所述第一虚拟对象的相关信息，以及所述第二虚拟对象的相关信息，生成内容提示信息；
    根据所述内容提示信息，利用机器学习模型生成所述情节内容。
  9. 根据权利要求1-8任一项所述的内容生成方法，还包括：
    向用户展示所述情节内容，所述情节内容包括文本内容或影像内容中的至少一项。
  10. 根据权利要求9所述的内容生成方法，其中，所述影像内容根据所述文本内容生成。
  11. 根据权利要求9或10所述的内容生成方法，其中，所述文本内容包括多个段落，所述影像内容包括多张图像，所述多个段落中的每一个与对应的图像一块展示。
  12. 根据权利要求11所述的内容生成方法，其中，所述影像内容为根据所述多张图像生成的视频内容。
  13. 根据权利要求9-12任一项所述的内容生成方法，其中，所述文本内容中与所述第一虚拟对象对应的内容和所述第二虚拟对象对应的内容的文本样式不同。
  14. 根据权利要求9-13任一项所述的内容生成方法，其中，所述文本内容包括多个段落，
    所述向用户展示所述情节内容包括：
    同时向所述用户展示所述多个段落；或者
    按照所述多个段落的发生顺序，每次向所述用户展示所述多个段落中的一个。
  15. 根据权利要求1-14任一项所述的内容生成方法，其中，所述情节内容包括对抗过程内容和对抗结果内容。
  16. 一种内容生成装置，包括：
    获取单元，用于获取进行对抗的第一虚拟对象的相关信息和第二虚拟对象的相关信息，所述相关信息用于描述虚拟对象的属性特征；
    生成单元，用于根据所述第一虚拟对象的相关信息和所述第二虚拟对象的相关信息，生成描述所述第一虚拟对象与所述第二虚拟对象进行对抗的情节内容。
  17. 根据权利要求16所述的内容生成装置，还包括：
    展示单元，用于向用户展示所述情节内容，所述情节内容包括文本内容或影像内容中的至少一项。
  18. 一种内容生成装置，包括：
    存储器；和
    耦接至所述存储器的处理器，所述处理器被配置为基于存储在所述存储器中的指令，执行权利要求1-15任一项所述的内容生成方法。
  19. 一种非易失性计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现权利要求1-15任一项所述的内容生成方法。
  20. 一种计算机程序产品，包括指令，所述指令当由处理器执行时使所述处理器执行根据权利要求1-15中任一项所述的内容生成方法。
PCT/CN2024/108470 2023-11-27 2024-07-30 内容生成方法、装置和非易失性计算机可读存储介质 Pending WO2025112600A1 (zh)

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