WO2022071784A1 - Procédé et dispositif électronique permettant l'affichage de guidage relatif à la connectivité - Google Patents

Procédé et dispositif électronique permettant l'affichage de guidage relatif à la connectivité Download PDF

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Publication number
WO2022071784A1
WO2022071784A1 PCT/KR2021/013540 KR2021013540W WO2022071784A1 WO 2022071784 A1 WO2022071784 A1 WO 2022071784A1 KR 2021013540 W KR2021013540 W KR 2021013540W WO 2022071784 A1 WO2022071784 A1 WO 2022071784A1
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WIPO (PCT)
Prior art keywords
user
electronic device
response
connectivity
wireless connectivity
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PCT/KR2021/013540
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English (en)
Inventor
Veerabhadrappa CHILAKANTI
Gurumani Lakshmi Praneeth Juturu
Gowtham Anandha Babu
Shruthi SIRUR
Pramod Reddy SERIKAR
Srihari Sriram
Nikhil Agrawal
Shambhavi SARIN
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Samsung Electronics Co., Ltd.
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Application filed by Samsung Electronics Co., Ltd. filed Critical Samsung Electronics Co., Ltd.
Publication of WO2022071784A1 publication Critical patent/WO2022071784A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/10—Connection setup
    • H04W76/18—Management of setup rejection or failure
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/1396—Protocols specially adapted for monitoring users' activity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/20—Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks

Definitions

  • the present disclosure relates to wireless communication, and more particularly to method and electronic device for displaying connectivity related guidance to a user on encountering a connectivity related anomaly.
  • Bluetooth is used for short range wireless communication between the electronic devices.
  • the discovery of an electronic device is a procedure where the electronic device looks for other the electronic devices capable of communicating through the Bluetooth in the range. To be found by other Bluetooth devices, the electronic device must be set to a discoverable mode which allows other Bluetooth devices in the vicinity to detect the presence of the electronic device and attempt to establish a connection.
  • the discoverable device When the two electronic devices find each other it is possible to detect what the two electronic devices are. Normally the discoverable device will indicate what type of device such as a mobile phone, headset, etc., along with a Bluetooth device name.
  • the Bluetooth device name can be allocated by the user or specified by manufacturer. Pairing of the two electronic devices is a process that is automatically triggered when the two electronic devices connect to each other for first time. A password or passkey is exchanged between the two electronic devices ensuring that the two electronic devices are paired with each other securely. Connection is said to be established by the two electronic devices, once an exchange data is initiated between the two electronic devices after a successful pairing procedure. Disconnection is a procedure where the two electronic devices drop the existing Bluetooth wireless connection between them.
  • Bluetooth users continue to face issues with discovery, pairing, connecting and abrupt disconnection.
  • the Bluetooth users may not be fully aware of various reasons leading to failure in discovering the electronic device.
  • the Bluetooth users might be performing several steps that may not solve scan anomaly.
  • the Bluetooth users might see a pairing failure error while pairing but might lack knowledge on how to fix the pairing anomaly.
  • the Bluetooth users fails to connect the Bluetooth devices an error message is generally displayed on a screen of the electronic device.
  • the error message may be very generic and may not guide the Bluetooth users to understand the exact reason behind for any of anomaly thereby degrading user experience.
  • a method and electronic device for displaying connectivity related guidance to a user when an attempt to connect with another electronic device based on a wireless connectivity technology is unsuccessful.
  • the user is classified as an active user or a passive user based on multiple user actions and corresponding response to each of the multiple user actions.
  • a correlation is obtained between the type of the user, the multiple user actions and corresponding response to each of the multiple user actions, and when the unsuccessful connectivity attempt is determined the connectivity related guidance is displayed based on the correlation. Therefore, the proposed method ensures that the users who may not be familiar with the wireless connectivity technology associated with the electronic device are provided guidance to enable seamless connectivity and enhance user experience.
  • the embodiments herein disclose a method for displaying connectivity related guidance on an electronic device.
  • the method includes monitoring, by the electronic device, a plurality of user actions associated with at least one wireless connectivity technology of the electronic device and a corresponding response to each of the plurality of user actions over a period of time.
  • the method also includes determining, by the electronic device, a type of a user based on the plurality of user actions and the corresponding response to each of the plurality of user actions and generating, by the electronic device, a correlation between the type of the user, the plurality of user actions, and the corresponding response to each of the plurality of user actions.
  • the method includes identifying, by the electronic device, whether a response to a user input associated with the at least one wireless connectivity technology is an unsuccessful response, and displaying, by the electronic device, at least one of a plurality of connectivity related guidance based on the generated correlation, in response to identifying that the response to the user input is the unsuccessful response.
  • the plurality of user actions associated with the at least one wireless connectivity technology of the electronic device comprises a count of scan ON, a count of scan OFF, a count of the at least one wireless connectivity technology ON, a count of the at least one wireless connectivity technology OFF, time spent on a settings page associated with the at least one wireless connectivity technology, time spent on a home page associated with the at least one wireless connectivity technology, whether the user is going back to the settings page associated with the at least one wireless connectivity technology, whether the user is going back to the home page associated with the at least one wireless connectivity technology, whether the user scrolls on the settings page associated with the at least one wireless connectivity technology and whether the user scrolls on the home page associated with the at least one wireless connectivity technology.
  • determining, by the electronic device, the type of the user includes determining, by the electronic device, a number of successful response to each of the plurality of user actions and a time duration for which the plurality of user actions are received on one of a settings page and a home page associated with the at least one wireless connectivity technology and determining, by the electronic device, whether the number of successful response to each of the plurality of user actions corresponds to a threshold.
  • the method includes determining, by the electronic device, the type of the user is an active user in response to determining that the number of successful response to each of the plurality of user actions corresponds to the threshold, and the type of the user is a passive user, in response to determining that the number of successful response to each of the plurality of user actions does not correspond to the threshold.
  • displaying, by the electronic device, the at least one of the plurality of connectivity related guidance based on the generated correlation includes identifying, by the electronic device, that the response to the received user input is the unsuccessful response, and determining, by the electronic device, the type of the user based on the generated correlation.
  • the method also includes determining, by the electronic device, a threshold for displaying the at least one connectivity related guidance based on the determined type of the user, identifying, by the electronic device, whether a value corresponding to an activity pattern of the user corresponds to the threshold and displaying, by the electronic device, the at least one of the plurality of connectivity related guidance in the form of at least one of a text message, a video, and a graphical element on a screen of the electronic device.
  • the unsuccessful response is determined based on at least one of a scanning anomaly encountered while failure in discovering connectivity devices, a pairing anomaly is encountered while failure in one of authenticating and pairing with the connectivity devices, a connection anomaly encountered while failure in connecting with the connectivity devices and a disconnection anomaly encountered due to random or abrupt disconnection from the connectivity devices.
  • displaying, by the electronic device, the at least one of the plurality of connectivity related guidance includes downloading, by the electronic device, the at least one of the plurality of connectivity related guidance of the plurality of connectivity related guidance associated with the at least one wireless connectivity technology and determining, by the electronic device, an operational error information related to the unsuccessful response.
  • the method includes arranging, by the electronic device, the at least one of the plurality of connectivity related guidance based on the operational error information, and displaying, by the electronic device, the at least one connectivity related guidance in the form of at least one of a text message, a video, and a graphical element in the said arrangement.
  • the correlation between the type of the user, the plurality of user actions and the corresponding response to each of the plurality of user actions is generated using a trained ML model.
  • the embodiments herein disclose an electronic device for displaying connectivity related guidance.
  • the electronic device includes a display, a transceiver, and at least one processor.
  • the at least one processor is configured to monitor a plurality of user actions associated with at least one wireless connectivity technology of the electronic device and a corresponding response to each of the plurality of user actions over a period of time.
  • the at least one processor is also configured to determine a type of a user based on the plurality of user actions and the corresponding response to each of the plurality of user actions and generate a correlation between the type of the user, the plurality of user actions, and the corresponding response to each user action of the plurality of user actions.
  • the at least one processor is configured to identify whether a response to a user input associated with the at least one wireless connectivity technology is an unsuccessful response, and control the display to display at least one connectivity related guidance of a plurality of connectivity related guidance based on the generated correlation, in response to identifying that the response to the user input is the unsuccessful response.
  • FIG. 1 illustrates a block diagram of an electronic device for displaying connectivity related guidance to a user, according to an embodiment as disclosed herein;
  • FIG. 2A is a flow chart illustrating a method for displaying the connectivity related guidance on the electronic device, according to the embodiments as disclosed herein;
  • FIGS. 2B and 2C are a flow chart illustrating a method for displaying BT related guidance on the electronic device for scan anomaly while connecting to a BT device, according to the embodiments as disclosed herein;
  • FIG. 3A is an example illustrating a scenario of providing the connectivity guidance for managing the scan anomaly while connecting to the BT device, according to the embodiments as disclosed herein;
  • FIG. 3B is an example illustrating a scenario of providing the connectivity guidance for managing pairing anomaly by the electronic device, according to the embodiments as disclosed herein;
  • FIG. 3C is an example illustrating a scenario of providing the connectivity guidance for managing connection anomaly by the electronic device, according to the embodiments as disclosed herein;
  • FIG. 3D is an example illustrating a scenario of providing the connectivity guidance for managing disconnection anomaly by the electronic device, according to the embodiments as disclosed herein;
  • FIG. 4 is an example for displaying guidance on the electronic device when connectivity devices are available in vicinity of the electronic device, according to the embodiments as disclosed herein;
  • FIGS. 5A and 5B are a signaling diagram illustrating a method for displaying the BT related guidance on the electronic device for the scan anomaly while connecting to the BT device, according to the embodiments as disclosed herein;
  • FIGS. 5C and 5D are a signaling diagram illustrating a method for displaying the BT related guidance on the electronic device for one of the pairing anomaly, the connection anomaly and the disconnection anomaly, according to the embodiments as disclosed herein;
  • FIG. 6 is an example for displaying guidance on the electronic device for a peer disconnection anomaly, according to the embodiments as disclosed herein;
  • FIG. 7 is an example for displaying Wi-Fi related guidance on the electronic device, according to the embodiments as disclosed herein.
  • circuits may, for example, be embodied in one or more semiconductor chips, or on substrate supports such as printed circuit boards and the like.
  • circuits constituting a block may be implemented by dedicated hardware, or by a processor (e.g., one or more programmed microprocessors and associated circuitry), or by a combination of dedicated hardware to perform some functions of the block and a processor to perform other functions of the block.
  • a processor e.g., one or more programmed microprocessors and associated circuitry
  • Each block of the embodiments may be physically separated into two or more interacting and discrete blocks without departing from the scope of the disclosure.
  • the blocks of the embodiments may be physically combined into more complex blocks without departing from the scope of the disclosure.
  • the embodiments herein disclose a method for displaying connectivity related guidance on an electronic device.
  • the method includes monitoring, by the electronic device, a plurality of user actions associated with at least one wireless connectivity technology of the electronic device and a corresponding response to each of the plurality of user actions over a period of time.
  • the method also includes determining, by the electronic device, a type of a user based on the plurality of user actions and the corresponding response to each of the plurality of user actions and generating, by the electronic device, a correlation between the type of the user, the plurality of user actions and the corresponding response to each of the plurality of user actions.
  • the method includes identifying, by the electronic device, whether a response to a user input associated with the at least one wireless connectivity technology is an unsuccessful response, and displaying, by the electronic device, at least one of a plurality of connectivity related guidance based on the generated correlation, in response to identifying that the response to the user input is the unsuccessful response.
  • the embodiments herein disclose an electronic device for displaying connectivity related guidance.
  • the electronic device includes a display, a transceiver, and at least one processor.
  • the at least one processor is configured to monitor a plurality of user actions associated with at least one wireless connectivity technology of the electronic device and a corresponding response to each of the plurality of user actions over a period of time.
  • the at least one processor is also configured to determine a type of a user based on the plurality of user actions and the corresponding response to each of the plurality of user actions and generate a correlation between the type of the user, the plurality of user actions, and the corresponding response to each of the plurality of user actions.
  • the at least one processor is configured to identify whether a response to a user input associated with the at least one wireless connectivity technology is an unsuccessful response, and control the display to display at least one connectivity related guidance of a plurality of connectivity related guidance based on the generated correlation, in response to identifying that the response to the user input is the unsuccessful response.
  • a user is classified into a specific type as an active user (i.e. a user with good experience in using BTA) or a passive user (i.e. a user with limited experience in using BTA) automatically by monitoring the user activity by the electronic device.
  • a threshold value is set each for the active user and the passive user based on the user activity pattern/history in connecting the BTA to the electronic device.
  • the method includes detecting an anomaly in the BTA using the electronic device, in response to determining that a value corresponding to a current user activity pattern of the active user or a passive user meets to its corresponding threshold value to determine if the tips to be shown or not. Therefore, the proposed method intelligently provides the connectivity related guidance to the user. It does not annoy active users who are knowledgeable in using the BTA with frequent connectivity related guidance. However, the proposed method does not let down the passive users either.
  • the proposed method includes automatically downloading a user manual of the BTA, and guiding the user to discover the BTA using the information present in the user manual in the form of text/videos/animation. Therefore, the proposed method does not require the user to check and understand a latest version of the user manual and then download the appropriate one, which may be tedious especially for non-tech savvy users.
  • the proposed method includes categorizing the anomaly into scan, pair, and connection and disconnection anomaly. Further, the anomaly is solved by providing personalized assistance to the user based on the Bluetooth usage pattern.
  • the guide seeks input about the device from the user such as device name and device model and show model specific tips and animation.
  • FIGS. 1 through 7 where similar reference characters denote corresponding features consistently throughout the figure, these are shown preferred embodiments.
  • FIG. 1 illustrates a block diagram of an electronic device (100) for displaying connectivity related guidance to a user, according to an embodiment as disclosed herein.
  • the electronic device (100) can be, but not limited to a laptop, a palmtop, a desktop, a mobile phone, a smart phone, personal digital assistant (PDA), a tablet, a wearable device, an Internet of Things (IoT) device, a virtual reality device, a foldable device, a flexible device and an immersive system.
  • PDA personal digital assistant
  • IoT Internet of Things
  • the electronic device (100) includes a memory (120), a processor (140), a communicator (160), a connectivity guidance controller (180) and a display (184).
  • the memory (120) is configured to store multiple user actions associated with at least one wireless connectivity technology of the electronic device (100) and corresponding response to each user action of the multiple user actions. Further, the memory (120) also stores instructions to be executed by the processor (140).
  • the memory (120) may include non-volatile storage elements. Examples of such non-volatile storage elements may include magnetic hard discs, optical discs, floppy discs, flash memories, or forms of electrically programmable memories (EPROM) or electrically erasable and programmable (EEPROM) memories.
  • EPROM electrically programmable memories
  • EEPROM electrically erasable and programmable
  • the memory (120) may, in some examples, be considered a non-transitory storage medium.
  • non-transitory may indicate that the storage medium is not embodied in a carrier wave or a propagated signal. However, the term “non-transitory” should not be interpreted that the memory (120) is non-movable. In some examples, the memory (120) can be configured to store larger amounts of information. In certain examples, a non-transitory storage medium may store data that can, over time, change (e.g., in random access memory (RAM) or cache).
  • RAM random access memory
  • the processor (140) communicates with the memory (120), the communicator (160), the connectivity guidance controller (180) and the display (184).
  • the processor (140) is configured to execute instructions stored in the memory (120) and to perform various processes.
  • the processor may include one or more processors, may be a general purpose processor, such as a central processing unit (CPU), an application processor (AP), or the like, a graphics-only processing unit such as a graphics processing unit (GPU), a visual processing unit (VPU), and/or an artificial intelligence (AI) dedicated processor such as a neural processing unit (NPU).
  • the communicator (160) includes an electronic circuit specific to a standard that enables wired or wireless communication.
  • the communicator (160) is configured to communicate internally between internal hardware components of the electronic device (100) and with external devices via one or more networks.
  • the communicator (160) may be referred to as a transceiver.
  • the connectivity guidance controller (180) is implemented by processing circuitry such as logic gates, integrated circuits, microprocessors, microcontrollers, memory circuits, passive electronic components, active electronic components, optical components, hardwired circuits, or the like, and may optionally be driven by firmware.
  • the circuits may, for example, be embodied in one or more semiconductors.
  • the connectivity guidance controller (180) includes a connectivity anomaly management controller (181), a correlation management controller (182) and a connectivity guidance management controller (183).
  • the correlation management controller (182) also includes a user personalization engine (182a) and a data collection engine (182b).
  • the connectivity anomaly management controller (181) is configured to monitor multiple user actions associated with at least one wireless connectivity technology of the electronic device (100) along with corresponding response to each user action of the multiple user actions over a period of time.
  • the multiple user actions associated with the at least one wireless connectivity technology of the electronic device (100) include a count of scan ON, a count of scan OFF, a count of the at least one wireless connectivity technology ON, a count of the at least one wireless connectivity technology OFF, time spent on a settings page associated with the at least one wireless connectivity technology, time spent on a home page associated with the at least one wireless connectivity technology, whether the user is going back to the settings page associated with the at least one wireless connectivity technology, whether the user is going back to the home page associated with the at least one wireless connectivity technology, whether the user scrolls on the settings page associated with the at least one wireless connectivity technology and whether the user scrolls on the home page associated with the at least one wireless connectivity technology.
  • Table 1 An example of monitoring the multiple user actions associated with at least one wireless connectivity technology is provided in Table 1.
  • the connectivity anomaly management controller (181) is configured to determine a type of the user based on the plurality of user actions and the corresponding response to each user action of the plurality of user actions.
  • the connectivity anomaly management controller (181) determines a number of successful response to each user action of the multiple user actions and a time duration for which the multiple user actions are received on one of the settings page and the home page associated with the at least one wireless connectivity technology.
  • the connectivity anomaly management controller (181) sends details such as number of successful response to each user action of the multiple user actions and a time duration for which the multiple user actions are received on one of the settings page and the home page associated with the at least one wireless connectivity technology, to the data collection engine (182b).
  • the data collection engine (182b) logs the activity in the memory (120). Further, the data collection engine (182b) sends the details to the user personalization engine (182a).
  • the user personalization engine (182a) comprises a Machine Learning (ML) model which is pre-trained with dataset containing user connectivity interaction activities.
  • ML Machine Learning
  • the user personalization engine (182a) is configured to determine whether the number of successful response to each of the multiple user actions meets a successful response threshold.
  • the successful response threshold is a specific number of times the response to the user action results in successful and may be predefined.
  • the user personalization engine (182a) is configured to determine the type of the user is an active user and also set an active guidance threshold, on determining that the number of successful response to each of the multiple user actions meets the successful response threshold.
  • the connectivity user personalization engine (182a) is configured to identify the user type as a passive user and set a passive guidance threshold, on determining that the number of successful response to each of the multiple user actions does not meet the successful response threshold.
  • the active guidance threshold or the passive guidance threshold is set based on a user activity pattern associated with the at least one wireless connectivity technology. For example, consider that the user scans for the BT connectivity, then the active guidance threshold and the passive guidance threshold are as provided in Table 2.
  • the connectivity guidance management controller (183) is configured to determine an unsuccessful response to a user input, when the user stops scanning and determine the type of the user based on the generated correlation. Further, the connectivity guidance management controller (183) receives information that one of the active guidance threshold and the passive guidance threshold is met based on the determined type of the user from the user personalization engine (182a). Then, the connectivity guidance management controller (183) determines that the connectivity guidance needs to be displayed and provides an actionable element on the display (184) asking the user to indicate if the user wishes to get the connectivity related guidance.
  • the connectivity guidance management controller (183) displays the at least one connectivity related guidance in the form of at least one of a text message, a video and a graphical element on the display (184).
  • the unsuccessful response to the received user input is due to at least one of a scanning anomaly encountered while failure in discovering connectivity devices, a pairing anomaly is encountered while failure in one of authenticating and pairing with the connectivity devices, a connection anomaly encountered while failure in connecting with the connectivity devices and a disconnection anomaly encountered due to random or abrupt disconnection from the connectivity devices.
  • the connectivity guidance management controller (183) is configured to display the at least one connectivity related guidance by automatically downloading the at least one connectivity related guidance associated with the at least one wireless connectivity technology which is compatible with the electronic device (100) from the connectivity guidance database (185). Further, the connectivity guidance management controller (183) is configured to determine an operational error information derived while encountering the unsuccessful response and arrange the at least one connectivity related guidance of the plurality of connectivity related guidance based on the operational error information before displaying the at least one connectivity related guidance.
  • the connectivity guidance database (185) is coupled to the electronic device (100) and the connectivity guidance database (185) may be a remote database or cloud storage.
  • the connectivity guidance database (185) comprises connectivity guidance data associated with multiple brands or models of electronic devices (100), connectivity guidance data associated with various connectivity technology such as for example but not limited to a Bluetooth, a Wi-Fi, a ZigBee, a near field communication (NFC), a ultra wide band (UWB), a Zwave, etc.
  • the connectivity guidance data may be for example but not limited to user manuals providing connectivity related information such as types of connectivity related anomaly, techniques trouble shooting for addressing the connectivity related anomaly, frequently asked questions (FAQs) related to the with various connectivity technology, etc.
  • the connectivity guidance database (185) is automatically updated with latest versions of the connectivity guidance data, as a result the user need not manually search when there are updates to existing techniques trouble shooting for addressing the connectivity related anomaly.
  • At least one of the plurality of modules/components of the connectivity guidance controller (180) may be implemented through an AI model.
  • a function associated with the AI model may be performed through memory (120) and the processor (140).
  • the one or more processors control the processing of the input data in accordance with a predefined operating rule or the AI model stored in the non-volatile memory and the volatile memory.
  • the predefined operating rule or artificial intelligence model is provided through training or learning.
  • learning means that, by applying a learning process to a plurality of learning data, a predefined operating rule or AI model of a desired characteristic is made.
  • the learning may be performed in a device itself in which AI according to an embodiment is performed, and/or may be implemented through a separate server/system.
  • the AI model may consist of a plurality of neural network layers. Each layer has a plurality of weight values and performs a layer operation through calculation of a previous layer and an operation of a plurality of weights.
  • Examples of neural networks include, but are not limited to, a convolutional neural network (CNN), a deep neural network (DNN), a recurrent neural network (RNN), a restricted Boltzmann Machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), generative adversarial networks (GAN), and deep Q-networks.
  • the learning process is a method for training a predetermined target device (for example, a robot) using a plurality of learning data to cause, allow, or control the target device to make a determination or prediction.
  • Examples of learning processes include, but are not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.
  • the display (184) is configured to receive the user input associated with the at least one wireless connectivity technology of the electronic device (100).
  • the user input can be for example but not limited to a touch, a swipe, a gesture, a voice command, etc indicating the electronic device (100) to perform task associated with the at least one wireless connectivity technology.
  • the user may provide a touch input on the settings page of BT settings indicating a scan to discover nearby BT accessories.
  • the display (184) is also configured to display an actionable element which can be selected by the user, if the user wishes to get the connectivity related guidance.
  • the electronic device (100) seeks connectivity device model related information such as for example but not limited to device model number, device name, etc.
  • the electronic device (100) fetches the connectivity related guidance specific to the connectivity device model provided by the user and displays the connectivity related guidance on a screen of the electronic device (100). If the user skips to enter the device model information, then the electronic device (100) displays a generic connectivity guidance to solve the anomaly.
  • the connectivity related guidance may be displayed in form of an animation, a video, an image, a text message, a graphics interchange format (GIF), an audio message, etc.
  • the display (184) may be made of one of but not limited to: liquid crystal display (LCD), light emitting diode (LED), organic light-emitting diode (OLED), etc.
  • FIG. 1 shows various hardware components of the electronic device (100) but it is to be understood that other embodiments are not limited thereon.
  • the electronic device (100) may include less or more number of components.
  • the labels or names of the components are used only for illustrative purpose and does not limit the scope of the disclosure.
  • One or more components can be combined together to perform same or substantially similar function to display the connectivity related guidance on the electronic device (100).
  • FIG. 2A is a flow chart (200) illustrating a method for displaying the connectivity related guidance on the electronic device (100), according to the embodiments as disclosed herein.
  • the method includes the electronic device (100) monitoring the plurality of user actions associated with at least one wireless connectivity technology of the electronic device (100) and corresponding response to each user action of the plurality of user actions over a period of time.
  • the connectivity guidance controller (140) is configured to monitor the plurality of user actions associated with at least one wireless connectivity technology of the electronic device (100) and corresponding response to each user action of the plurality of user actions over a period of time.
  • the method includes the electronic device (100) determining the type of the user based on the plurality of user actions and the corresponding response to each user action of the plurality of user actions.
  • the connectivity guidance controller (140) is configured to determine the type of the user based on the plurality of user actions and the corresponding response to each user action of the plurality of user actions.
  • the method includes the electronic device (100) generating the correlation between the type of the user, the plurality of user actions and the corresponding response to each user action of the plurality of user actions.
  • the connectivity guidance controller (140) is configured to generate the correlation between the type of the user, the plurality of user actions and the corresponding response to each user action of the plurality of user actions.
  • the method includes the electronic device (100) receiving the user input associated with the at least one wireless connectivity technology of the electronic device (100).
  • the connectivity guidance controller (140) is configured to receive the user input associated with the at least one wireless connectivity technology of the electronic device (100).
  • the method includes the electronic device (100) displaying the at least one connectivity related guidance of the plurality of connectivity related guidance based on the correlation.
  • the connectivity guidance controller (140) is configured to display the at least one connectivity related guidance of the plurality of connectivity related guidance based on the correlation.
  • FIGS. 2B and 2C are a flow chart illustrating a method for displaying BT related guidance on the electronic device (100) for the scan anomaly while connecting to the BT device,according to the embodiments as disclosed herein.
  • step 1 the user launches the BT settings page and at step 2 the current time stamp is noted down (T1).
  • step 3 the user action is determined. If the user selects BT action then at step 4 the electronic device (100) determines that the BT is off and at step 5, the bt_cnt is incremented once every time the BT is off (at step 6). If the user selects scan action then at step 7, the scan is initiated and waits till the scan ends (at step 8). At step 9, the scan_cnt is incremented.
  • the time stamp at that time is noted down (T2).
  • the user type is predicted using the user personalization engine (182a).
  • the scan anomaly threshold is modified and if the threshold for time (T2-T1) and scan_cnt + bt_cnt is crossed, the tip is shown to the user (at step 12).
  • the electronic device (100) determines if the user exits from the BT settings page or the user is able to connect new BTA device successfully, then at step 16 the time stamp is noted down (T3) and time (T3-T1), scan_cnt, bt_cnt is sent to data collection module (182b) (step 17).
  • the dataset for training the ML model for user type categorization is synthetically generated which matches with real world scenario.
  • a trained Neural Network is used for example using Tensor flow Lite Framework (OnDevice Inferencing).
  • FIG. 3A is an example illustrating a scenario of providing the connectivity guidance for managing the scan anomaly while connecting to the BT device, according to the embodiments as disclosed herein.
  • the device is turned off because of battery drain or automatically turned off after some time to save power, the device is already connected to other phone or beyond phone's BT range, the device is turned on but user is not aware of the technique to put the device into discoverable mode,
  • Each device manufacturer provides a unique technique of putting the device into discoverable mode such as button toggle, long press button for 3 seconds, etc. Therefore, the above problem needs to be addressed by providing guidance/assistance to the user and help in finding the device successfully. Also, providing abrupt and frequent guidance to a user who is well-versed in BT can be annoying but providing rare assistance to novice user who does not have much knowledge about BT, will not be helpful.
  • the electronic device (100) determines the availability of Bluetooth accessories.
  • the electronic device (100) tries to scan the Bluetooth accessories in the vicinity.
  • the electronic device (100) determines that the user is not able to find the Bluetooth accessories even after multiple attempts and therefore an anomaly is detected.
  • the electronic device (100) monitors the user activities in BT settings page while the user is discovering the Bluetooth accessories.
  • the monitored parameters include scan on/off count, BT on/off count, time spent in BT settings page, whether user going back/home, whether user scroll or not.
  • the electronic device (100) determines the scan anomaly.
  • the electronic device (100) also determines that the user has selected the option to display the connectivity guidance.
  • the electronic device (100) queries the connectivity guidance database (185) and the corresponding user guide is downloaded.
  • the connectivity guidance is determined based on the user type queried from ML model.
  • the procedure for putting the Bluetooth accessory into discoverable mode is displayed to the user in graphical/text/video/gif format (as showed in step 5).
  • the proposed method uses AI to determine when the connectivity guidance needs to be displayed and when it need not be displayed to the user.
  • Each user has a different Bluetooth usage pattern, some may use regularly, some use rarely.
  • the active users are the ones who interact with the Bluetooth device more often and have good knowledge about the Bluetooth.
  • the passive users are the ones who rarely interact with the Bluetooth device and have very less knowledge on Bluetooth.
  • the active user may require less assistance as they have good knowledge about the Bluetooth and providing frequent tips to active user may be annoying.
  • the passive users have lesser knowledge about the Bluetooth and require greater assistance. Providing rare tips to the passive user will not be much helpful. So the user pattern needs to be learned and personalization is required to decide whether to show the tips or not leveraging user behaviour. And hence the usage of AI and ML model provides higher efficiency in the same.
  • FIG. 3B is an example illustrating a scenario of providing the connectivity guidance for managing the pairing anomaly by the electronic device (100),according to the embodiments as disclosed herein.
  • the users are not aware on the exact steps to solve the pairing anomaly faced, there may not be a single reason for failure but at the same time, not all reasons for failure are applicable for each case of Pairing Anomaly or unavailability of hints to the user to solve the pairing anomaly.
  • the proposed method identifies the pairing anomaly and determines the type of user. Further, the proposed method determines if the tip has to be shown and provides relevant tips to the user based on user activity and error identified by the Bluetooth Host and the connectivity guidance database (185), as shown in step 2. When the tips are shown, they are arranged so that the earliest tip would suffice to solve the problem.
  • the electronic device (100) detects the pairing anomaly (i.e. the user enters a wrong passkey for pairing the BTA to the electronic device, user selects a negative authentication response, a timeout to accept an authentication request, repeated attempts in pairing the BTA with the electronic device), the electronic device (100) automatically provides a corresponding guide to fix the pairing anomaly.
  • the pairing anomaly i.e. the user enters a wrong passkey for pairing the BTA to the electronic device, user selects a negative authentication response, a timeout to accept an authentication request, repeated attempts in pairing the BTA with the electronic device
  • FIG. 3C is an example illustrating a scenario of providing the connectivity guidance for managing the connection anomaly by the electronic device (100), according to the embodiments as disclosed herein.
  • the difficulty faced by the user in fixing the connection anomaly are current error string can only identify the existence of the error, users are not aware on the exact steps to solve the connection anomaly faced, there is not a single reason for failure but at the same time, not all reasons for failure are applicable for each case of the connection anomaly, unavailability of hints to user to solve the connection anomaly by themselves.
  • the proposed method identifies the connection anomaly and determines the type of user. Further, the proposed method determines if the tip has to be shown and provides relevant tips to the user based on user activity and error identified by the Bluetooth Host and the connectivity guidance database (185), as shown in step 2. When the tips are shown, they are arranged so that the earliest tip would suffice to solve the problem.
  • the electronic device (100) detects the connection anomaly (i.e. remote BT device not able to connect to the smartphone), different error codes with respect to H/W failure, page scan timeout etc. is sent. Based on detecting the root cause of connection anomaly electronic device automatically provides a corresponding guide to fix the connection anomaly.
  • the connection anomaly i.e. remote BT device not able to connect to the smartphone
  • FIG. 3D is an example illustrating a scenario of providing the connectivity guidance for managing the disconnection anomaly by the electronic device (100), according to the embodiments as disclosed herein.
  • disconnection anomaly occurs when any of the previously connected Bluetooth peripheral device gets disconnected from the electronic device (100).
  • the reasons for the disconnection could be for example but not limited to when Bluetooth peripheral device's link loss happens when the electronic device (100) is moving beyond BT range of remote BT device, the excessive interference in co-existence with other networks in 2.4 GHz ISM band, certain profile like A2DP/HFP disconnected. The exact reason for failure may not be known to the user and hence the disconnection anomaly is detected.
  • the issues faced by the user in fixing the dis-connection anomaly includes current error string can only identify the existence of the error, the users are not aware on the exact steps to solve the disconnection anomaly faced, there is not a single reason for failure but at the same time, not all reasons for failure are applicable for each case of disconnection anomaly, unavailability of hints to user to solve the disconnection anomaly.
  • the proposed method identifies the disconnection anomaly and determines the type of user. Further, the proposed method determines if the tip has to be shown and provides relevant tips to the user based on user activity and error identified by the Bluetooth Host and the connectivity guidance database (185), as shown in step 2. When the tips are shown, they are arranged so that the earliest tip would suffice to solve the problem.
  • the electronic device (100) detects the disconnection anomaly (i.e. the remote Bluetooth device or the profile disconnected). Based on detecting the root cause of disconnection electronic device automatically provides a corresponding guide to fix the disconnection anomaly.
  • the disconnection anomaly i.e. the remote Bluetooth device or the profile disconnected.
  • FIG. 4 is an example for displaying guidance on the electronic device (100) when connectivity devices are available in the vicinity of the electronic device (100), according to the embodiments as disclosed herein.
  • the electronic device (100) determines the availability of connectivity devices in the vicinity such as for example but not limited to the Wi-Fi device, the BT device, the BLE device, the UWB device, the ZigBee device and the Zwave device.
  • the electronic device (100) tries to scan the connectivity device in the vicinity.
  • the electronic device (100) determines that the user is not able to find the connectivity devices even after multiple attempts and therefore an anomalyis detected as one of the anomalies provided in Table 3.
  • the electronic device (100) also determines if the connectivity guidance to be shown based on threshold and at step 4, determines that the user has selected the option requesting to display the connectivity guidance.
  • the electronic device (100) displays the connectivity guidance based on the user type queried from ML model.
  • the connectivity guidance database (185) is queried and the corresponding user guide is downloaded.
  • the procedure for discovering that connectivity device is displayed to the user in graphical/text/video/gif format.
  • FIGS. 5A and 5B are a signaling diagram illustrating a method for displaying the BT related guidance on the electronic device (100) for the scan anomaly while connecting to the BT device, according to the embodiments as disclosed herein.
  • the electronic device (100) is placed in a discoverable mode.
  • the discover ability of the electronic device (100) varies among different Bluetooth device manufacturers based on form factor, availability of button etc. Therefore, discovering the electronic device (100) depends on both local and remote devices. A failure in either side results in difficulty in finding the electronic device (100). This anomaly is called scan anomaly resulting in non-discoverability of the electronic device (100).
  • the electronic device (100) starts the BT scan and at step 2, monitors user activity.
  • the user activity data is sent to the connectivity anomaly management controller(181) and at step 4 stops the scan.
  • the electronic device (100) sends the scan anomaly detected information to the connectivity anomaly management controller (181).
  • the connectivity anomaly management controller (181) sends a query to the user personalization engine (182a) to determine the type of the user and at step 7, the user personalization engine (182a) sends the query to the data collection engine (182b) to fetch the user records, which is sent in step 8.
  • the correlation management controller (182) predicts the user type based on the fetched user records and at step 10, the predicted user type data is provided to the connectivity anomaly management controller (181).
  • the connectivity anomaly management controller (181) updates the threshold values for showing connectivity related guidance to the user for a specific type of the user.
  • the connectivity anomaly management controller (181) checks whether the threshold values for displaying the connectivity related guidance is met.
  • the tips icon is displayed on the electronic device (100).
  • the electronic device (100) asks for the BTA model name and at step 15, the electronic device (100) instructs the connectivity anomaly management controller (181) to fetch the connectivity guide for the BTA model of the user from the connectivity guidance database (185).
  • the connectivity anomaly management controller (181) queries for the BTA product information and the connectivity guide for the BTA model of the user from the connectivity guidance database (185).
  • the connectivity guidance database (185) shares the BTA product information and the connectivity guide for the BTA model of the user and at step 18, the electronic device (100) displays the animation of the connectivity related guidance to the user.
  • FIGS. 5C and 5D are a signaling diagram illustrating a method for displaying the BT related guidance on the electronic device (100) for one of the pairing anomaly, the connection anomaly and the disconnection anomaly, according to the embodiments as disclosed herein.
  • the devices when the devices try to pair with each other, there may be a failure from either device.
  • the failure can be caused by various reasons such as for example but not limited to remote device is turned off, one of the devices is not in range, wrong passkey entry, local Bluetooth software malfunction, pairing rejected, etc. The exact reason for failure may not be known to the user resulting in the pairing anomaly.
  • the devices fail to maintain an existing connection due to an abrupt error resulting in the disconnection anomaly. Similar to the pairing anomaly, when the Bluetooth device tries to connect to other device but fails to establish a successful connection, there is a connection anomaly. The failure could be because the remote device is turned off, remote device is no longer in connectable mode, remote device is already connected, local/remote software or hardware malfunction, only one of application level features are connected.
  • the user starts the BT scan on the electronic device (100) and at step 2, monitors user activity.
  • the electronic device (100) sends the pair or connect request to the BT peripheral such as the earbud and at step 4, the electronic device (100) receives the indication that the pairing or the connection has failed or is disconnected, in case the BT peripheral is already connected to the electronic device (100).
  • the connectivity anomaly management controller (181) receives the error code and details related to the failure.
  • the connectivity anomaly management controller (181) sends a query to the user personalization engine (182a) to determine the type of the user and at step 7, the user personalization engine (182a) sends the query to the data collection engine (182b) to fetch the user records, which is sent in step 8.
  • the correlation management controller (182) predicts the user type based on the fetched user records and sends it to the connectivity anomaly management controller(181).
  • the connectivity anomaly management controller (181) updates the threshold values for showing connectivity related guidance to the user for a specific type of the user.
  • the connectivity anomaly management controller (181) checks whether the threshold values for displaying the connectivity related guidance is met.
  • the tips icon is displayed on the electronic device (100).
  • the electronic device (100) asks for the BT peripheral details, at step 14.
  • the electronic device (100) instructs the connectivity anomaly management controller (181) to fetch the connectivity guide for the BT peripheral of the user from the connectivity guidance database (185).
  • the connectivity anomaly management controller (181) queries for the BT peripheral information and the connectivity guide for the BT peripheral from the connectivity guidance database (185).
  • the connectivity guidance database (185) shares the BT peripheral information and the connectivity guide for the BT peripheral and at step 18, the electronic device (100) displays the connectivity guide for the BT peripheral information in the form of animation or video to the user.
  • FIG. 6 is an example for displaying guidance on the electronic device (100) for peer disconnection anomaly, according to the embodiments as disclosed herein.
  • step 602 consider that the user pairs a primary earbud and a secondary earbud to the electronic device (100) and start listening to music.
  • the user can hear the music from the primary earbud.
  • the user cannot hear the audio from secondary earbud, as the secondary earbud stops working.
  • the user may be unaware of the exact/root cause as to why the secondary earbud stopped working all of a sudden and may not be aware as to what needs to be done to address the anomaly.
  • Various possible reasons for the peer disconnection anomaly include but are not limited to: the secondary earbud is turned off because of battery drain, the secondary earbud has encountered some malfunctioning, the secondary earbud cannot sniff and needs reset to sniff again, etc.
  • the secondary earbud can communicate to the primary earbud.
  • the primary earbud can detect failure of the secondary earbud and the same can be communicated to the electronic device (100) using the primary bud.
  • the electronic device (100) based on the information received from the primary bud determines a the anomaly, the type of user and whether the connectivity related guidance needs to be provided to the user or not, etc. Further, the electronic device (100) fetches the relevant connectivity related guidance to be provided to the user and indicates to the user to check for the BT related tip/guidance. At step 610, as the user accesses the connectivity related guidance option the electronic device (100) displays the relevant connectivity related guidance to the user. The connectivity related guidance will guide the user on the next steps which the user needs to perform to solve the anomaly.
  • FIG. 7 is an example for displaying Wi-Fi related guidance on the electronic device (100), according to the embodiments as disclosed herein.
  • Wi-Fi bad throughput anomaly occurs when a Wi-Fi client device experiences a bad throughput from a connected router.
  • the bad throughput may be caused in the Wi-Fi due to various reasons such as for example but not limited to: interference caused due to other wireless devices in the vicinity, the router prioritizing other client devices over the connected client device, backhaul network of the router not stable, the Wi-Fi client device is constantly moving away from the router, etc.
  • the exact reason for the bad throughput is not known to the user and hence the Wi-Fi bad throughput anomaly is encountered. The user may find it difficult to fix the Wi-Fi Bad Throughput Anomaly.
  • the electronic device (100) in general does not provide any indication to the user that the network speed is gradually decreasing or information showing that throughput has decreased because of other devices in the vicinity.
  • the electronic device (100) also does not provide any information with the client about the unstable backhaul network.
  • the electronic device (100) may provide the indication that the Wi-Fi signal is dropping below certain threshold.
  • the electronic device (100) does not help the user to know the exact reason behind the bad Wi-Fi throughput.
  • the electronic device (100) identifies the occurrence of the Wi-Fi Bad Throughput Anomaly and determines the type of user. Further, the electronic device (100) determines if the connectivity guidance needs to be displayed to the user or not based on the type of the user. On determining that the connectivity guidance needs to be provided to the user, the electronic device (100) fetches and provides the relevant connectivity guidance to the user based on the user activity and error identified by the Wi-Fi HAL and the connectivity guidance database (185). Further, when the connectivity guidance is displayed on the electronic device (100), the electronic device (100) arranges the connectivity guidance so that the earliest tip would suffice to solve the problem.
  • the proposed method in response to detecting that the Wi-Fi Bad Throughput anomaly persists, the electronic device (100) detects the root cause of the anomaly and automatically provides a corresponding guide to fix the Wi-Fi Bad Throughput anomaly. Therefore, the proposed method guides the user to solve the anomaly without the user having to search for the model name and the corresponding technique that is needed to solve the anomaly, which is time consuming and tedious for the user.

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Abstract

Des modes de réalisation divulguent ici un procédé d'affichage de guidage relatif à la connectivité sur un dispositif électronique. Le procédé consiste à surveiller, par le dispositif électronique, une pluralité d'actions d'utilisateur associées à au moins une technologie de connectivité sans fil du dispositif électronique et une réponse correspondante à chaque action de la pluralité d'actions d'utilisateur sur une période de temps, et à déterminer, par le dispositif électronique, un type d'un utilisateur sur la base de la pluralité d'actions d'utilisateur et de la réponse correspondante à chaque action de la pluralité d'actions d'utilisateur. Le procédé consiste également à générer, par le dispositif électronique, une corrélation entre le type de l'utilisateur, la pluralité d'actions d'utilisateur, et la réponse correspondante à chaque action de la pluralité d'actions d'utilisateur, à identifier, par le dispositif électronique, si une réponse à une entrée d'utilisateur associée à la ou aux technologies de connectivité sans fil est une réponse infructueuse, et à afficher, par le dispositif électronique, au moins un conseil d'une pluralité de conseils liés à la connectivité sur la base de la corrélation générée, en réponse à l'identification du fait que la réponse à l'entrée d'utilisateur représente la réponse infructueuse.
PCT/KR2021/013540 2020-10-01 2021-10-01 Procédé et dispositif électronique permettant l'affichage de guidage relatif à la connectivité WO2022071784A1 (fr)

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