CN102318246A - 使用生物学反应的一致性作为媒体表现的量度的方法和系统 - Google Patents
使用生物学反应的一致性作为媒体表现的量度的方法和系统 Download PDFInfo
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Abstract
本发明的各个实施例产生了一种基于观众对媒体中的事件产生的情绪的强烈程度来评价该事件的新颖系统。观众对媒体的反应可通过生理传感器测量和计算。用于评价媒体效力的量度是基于各观众的所有相关生理反应的变化(上或下)的数学一致性来产生的。这种评价提供了一种对媒体中的多个事件的效力进行比较的客观能力,因为在生物学反应的高度一致性(所有观众同时感受到同一事物)与对感染力、吸引力、受欢迎程度和市场/屏幕上的成功的高度评价之间存在强的相关性。
Description
技术领域
本发明涉及基于观众生理反应的媒体表现评价这一领域。
背景技术
用于计算观众对媒体如何反应的现有方法和系统常常包括从调查中取平均反应和/或采用观众“旋钮”或其他评价方案。这些现有方法仅表明了平均反应如何,而没有表明个人如何反应。正如个人反应可能因以前所体验的个人事件而存在强烈偏见那样,个人对媒体中的事件的反应也可能受到紧接在当前事件之前发生的前一事件的影响。此影响可能以不与当前事件直接相关的方式严重歪曲对当前事件的平均反应。因此,由于在给定时间仅仅将各个观众的生理反应的平均考虑在内,现有方法可能因观众的主观反应而存在偏见,并且当个别例外反应支配平均反应时不能捕捉观众观看媒体时感受如何的整体图景。
发明内容
本发明的各个实施例产生了一种基于观众对媒体中的事件产生的情绪的强烈程度来评价该事件的新颖系统和方法。观众对媒体的反应可通过生理传感器测量和计算。用于评价媒体效力的量度是基于各观众的所有相关生理反应的变化(上或下)的数学一致性来产生的。这种评价提供了一种对媒体中的多个事件的效力进行比较的客观能力,因为在生物学反应的高度一致性(所有观众同时感受到同一事物)与对感染力、吸引力、受欢迎程度和市场/屏幕上的成功的高度评价之间存在强的相关性。
附图说明
图1是根据本发明的一个实施例的基于观众生理反应的一致性来评价媒体的示例系统的图示。
图2是图示了根据本发明的一个实施例的基于观众生理反应的一致性来评价媒体的示例过程的流程图。
图3(a)-(c)从不同角度示出了本发明的一个实施例中使用的示例一体式头套。
图4示出了根据本发明的一个实施例的三个生理反应向量的平均位置随时间变化的示例时间序列图。
图5是示出了根据本发明的一个实施例的根据观看广告的40个人的生理数据计算出的喜爱广告的生理反应的一致性的示例曲线图。
图6(a)-(b)分别示出了根据本发明的一个实施例的广告和视频游戏的示例反应一致性(CoR)值。
具体实施方式
作为例子而不作为限制,在附图中图示了本发明,同样的附图标记表示同样的元素。应当注意,本公开中的“一”、“一个”或“一些”实施例不一定是指同一实施例,而是指至少一个实施例。
本发明的各个实施例产生了一种使用媒体的各观众群的生理反应的一致性来评价媒体表现的方法和系统。反应一致性量度客观地度量了媒体在许多人中的效力,因为它表明了何时观众同时产生相同的情绪。与生理反应的平均值或调查数据相比,生理反应一致性对应于多个观众同时具有相同的情绪反应或同时具有不同的情绪反应,这是好得多的媒体表现指标。
本发明的评价方法基于如下原理:在市场上,表现有力的媒体不仅能够在一个观众中产生强烈的情绪反应,而且能够在许多观众中产生相同的强烈情绪反应。当观众观看一段媒体时,他们产生不同的情绪,但是对于成功的媒体,其中存在以各观众群的生理数据产生一致的反应的关键事件。如果对媒体没有一致的反应,则媒体不会表现良好;即,如果一些观众确实喜爱该媒体而与这些观众相当的其他观众不喜爱该媒体,则该媒体由于差的评价、差的口碑或其他负面观点而不会销售良好。
图1是根据本发明的一个实施例的基于观众生理反应的一致性来评价媒体的示例系统的图示。虽然图1将各部件描绘为在功能上相分离,但这种描绘只是为了说明的目的。本领域的技术人员容易明白,图1中描绘的部件可任意地组合或分成单独的软件、固件和/或硬件部件。此外,本领域的技术人员还容易明白,这些部件无论它们如何组合或分割都可以在同一计算设备或多个计算设备上执行,且其中该多个计算设备可以通过一个或多个网络相连。
参照图1,利用一个或多个传感器103来测量并记录正观看媒体101的事件的多个观众102中的每一个的生理数据。此处,媒体可以是电影、视频、电视节目、电视商业广告、广告、视频游戏、交互式在线媒体、印刷品以及观众能从中获知信息或情绪上受其影响的任何其他媒体中的一个或多个。媒体中的事件的持续时间在时间上可以是恒定的、非线性的或半线性的。所测量的生理数据可包括但不限于心率、脑电图(EEG)信号、眨眼率、呼吸、运动,且该一个或多个传感器中的每一个可以是以下之一:脑电图仪、加速度计、血氧传感器、检流计、肌电图仪和任何其他生理传感器。或者,如后面详细讨论的那样,可采用一体式传感器头套。身体内的生理数据已表现出与人的情绪变化相关。通过感测这些确切的变化而不是采用调查、旋钮或其他容易产生偏见的反应量度,本发明既改进了所记录的数据,又改进了该数据的粒度,因为生理反应可以每秒记录许多次。
在被测量后,观众的生理数据可被发送到一致性模块104,一致性模块104基于观众在观看事件时被测得的生理数据来得到观众的生理反应。此处,生理反应可以是以下中的一个或多个:思考、喜爱、吸引、沉浸、身体吸引、诱发和热情,其中思考和喜爱可根据EEG算出。然后,可计算观众对事件的生理反应的一致性,并可基于观众生理反应的一致性来评价事件。任选地,还可基于对媒体中所有事件的评价来评价媒体本身。
图2是图示了根据本发明的一个实施例的基于观众生理反应的一致性来评价媒体的示例过程的流程图。为了说明的目的,图2按特定顺序描绘了各功能步骤,但是该过程不限于呈任何特定顺序或排列的步骤。本领域的技术人员应认识到,可省略、重新排列、组合和/或以多种方式修改图2中描绘的各个步骤。
参照图2,在步骤201,测量观看媒体中的事件的多个观众中的每一个的生理数据。然后,在步骤202,可记录所测得的生理数据;在步骤203,可基于从事件的观众测得的生理数据来得到对事件的生理反应。在步骤204,计算观众对事件的生理反应的一致性;在步骤205,可基于该多个观众的生理反应的一致性来评价事件和/或媒体。
在一些实施例中,当观众观看媒体的事件时,可在观众的头上放置一体式头套以测量他的/她的生理数据。生理数据可在允许观众在佩戴头套时与媒体交互的计算机上用程序加以记录。图3(a)-(c)从不同角度示出了本发明的一个实施例中使用的示例一体式头套。处理单元301是这样的微处理器:其将生理数据数字化,然后将数据处理成包括但不限于思考、吸引、沉浸、身体吸引、诱发、热情等等的生理反应。三轴加速度计302感测头部的运动。通过使头套稳定从而最小化运动,硅稳定带303允许了鲁棒性更高的感测。右EEG电极304和左EEG电极306是无需准备即可使用的前额干燥电极。电极和皮肤之间需要压力不太大的接触。心率传感器305是围绕前额中心而定位的具鲁棒性的血容量脉冲传感器,且可再充电或可替换电池模块307位于一个耳朵之上。位于后部的可调整箍308用于针对许多不同的头部尺寸将头套调整到舒适的松紧设定。
在一些实施例中,可用按钮接通一体式头套,并立即测量和记录观众的生理数据。可通过与头套链接的计算机接口无线地进行数据发送。观众不需要进行皮肤准备或凝胶来获得精确的测量结果,且头套可容易从观众移除并立刻被另一个观众使用。头套在使用期间不发生劣化,可以重复使用上千次。
在一些实施例中,观众的生理反应可通过采用观众的生理数据作为输入的多个公式来得到。面部表情识别、“旋钮”和其他情绪量度也可用作有效性与生理数据相当的输入。每个所得到的生理反应(其可包括但不限于“吸引”、“兴奋”、“思考”和“诱发”)将来自多个传感器的生理数据组合成观众情绪反应的多方面的、易于理解的表示。
在一些实施例中,当许多不同的观众同时或不同时观看同一媒体时,可在这些观众中计算生理反应。生理反应对于每个观众可视为一时间序列,而对于多个观众可加以组合以显示合计的反应。还可对生理反应取平均或在多个数据段内观察生理反应,以分析对媒体中关键事件的反应。作为一个非限制性的例子,图4示出了当40人观看同一商业广告“Budweiser:Fixing Leak”时,身体吸引向量401、思考水平向量402和情绪上“喜爱”向量403这三个生理反应向量的平均位置随时间变化的示例时间序列图。身体吸引向量401示出了观众在观看媒体时心情放松,直到人从屋檐落下的点404为止。在点401,身体吸引上升。这对应于观众在看到广告的“充满动作”的结尾时要比在看到基于更多对话的开头时受到更大程度的身体吸引。第二个向量402是观众主动思考的强度。该值越高,观众越趋向于记住事件。
在一些实施例中,可特定于观众观看的媒体的类型分析观众的生理反应。非限制性的例子如下:
视频游戏:在视频游戏的情形下,生理反应和观众体验(产生反应)的视频可以重叠,且观众的体验可分成对应于游戏中各个事件的相关部分(事件)。视频、关键事件和观众生理反应的组合允许检查和评价事件的具体实例和所有观众的生理反应。
广告:好的广告的关键是使观众记住该广告,喜爱他们所记住的病因此决定购买产品。通过感测生理数据和对事件加标签,一致性模块可定义观众喜爱哪些事件、每个事件有多少观众喜爱,并且基于人口统计状况将他们的生理反应分组以确定观众对品牌时刻(事件)有何考虑或观众是否喜爱一个事件甚于其他事件。
电影:要使一个电影是好的,它必须在观众中产生“正确的”情绪反应。对电影的生理反应可基于生理数据来客观评价。此外,对电影中的特定时刻(事件)有同感的观众的百分比可基于观众对电影中该事件的反应的一致性来定义。
反应一致性
在一些实施例中,一致性模块可操作为基于观众与媒体交互时所记录的生理数据的时间序列来计算观众的反应一致性(CoR)。可针对时间序列中的所有点、基于在每个给定点处反应中的趋势彼此之间接近程度如何来计算反应一致性。存在许多在数学上计算时间序列中的反应中的趋势的方法,它们包括但不限于标准偏差法和类元划分(binning)法。
在一些实施例中,可基于在特定一个事件期间多个观众的生理反应的标准偏差和/或生理反应的导出量(例如,生理反应的幅度和值)的标准偏差来计算生理反应的一致性。可以对所有生理反应的导出量计算相关性,且趋势的变化由在该事件的给定时刻或持续时间内具有单个反应的正导出量的观众的数量来反映。
在一些实施例中,观众对整个媒体或媒体中的事件的生理反应可基于反应的类似性被归类并按类元划分到预定类别中。此处,预定类别可包括以下中的一个或多个:很正面的、正面的、平淡的、负面的、很负面的。作为一个非限制性的例子,在事件过程中具有正面变化的观众的反应被归类在一个类元中,而在事件过程中具有非正面变化的观众的反应被归类在另一个类元中。然后,以一种方式或另一种方式反应的观众的数量/百分比被计数。例如,在笑话的大部分时间内对笑话反应出正面情绪的观众的数量被计数,并与对同一笑话没有反应出正面情绪的观众的数量相比较。其他实施例利用了包含小/大的偏差的不同类元或不同反应数据,其中小和大由低于或高于预定数量来定义。
在按类元划分了观众的生理反应后,可基于每个反应类元中观众数量的分布来评价对事件和/或媒体的反应的总体一致性。在一些实施例中,使用反应出正面反应变化的观众的百分比来评价事件。作为一个非限制性的例子,如果80%的观众对笑话产生正面反应,则认为笑话是成功的。其他实施例合计了对许多事件的评价(例如,具有超过70%的变化一致性的事件的百分比)和其他量度。
作为一个非限制性的例子,图5是示出了根据观看2006年GilletteFusion Super Bowl广告的40人的生理数据计算出的喜爱广告的生理反应的一致性的示例曲线图。5个方框示出了在广告时间内高的正和负一致性的区域。此情况下的一致性被计算为在广告的每.25秒区段具有正或负导出量的观众的数量。方框501、503和505示出了当大多数人的喜爱程度下降时反应的一致性。正的区域(方框502和504)示出了当大多数人的喜爱程度上升时反应的一致性。最一致的反应发生在方框504和505,其中方框504在广告的35秒处、紧接在介绍Gillette Fusion标志之前发生,而方框505紧接在介绍该标志之后发生。由该分析可以得出如下结论:对产品介绍有很正面的赞扬但是随后观众对该介绍有负面的反应。
在一些实施例中,生理数据的时间序列还可在CoR计算之前被平滑和滤波以允许计算反应的不同标度。作为一个非限制性的例子,如果以100Hz记录生理数据,但需要对长的事件(例如,2分钟)进行计算,则可去除高频数据,从而允许数据中的信息与计算的长度具有相同的频率量级。此外,如果需要在短时间段(例如,几秒)内计算CoR,则可去除信号的低频成分以最小化可能影响数据位置的先前事件的影响。此方法将在观众之间对齐数据,并只允许在CoR计算中使用相关的数据。
利用CoR评价媒体
在针对一组对事件的生理反应、在生理反应时间序列中的每个点处计算出CoR后,可通过以下中的一个或多个为事件和/或媒体产生评价:绝对CoR得分:本发明的一个实施例利用了通过在数学上实现生理反应的一致性而计算出的绝对CoR得分。这允许了媒体中事件之间的绝对比较。
归一化CoR得分:本发明的另一个实施例基于由先前的测试得到的一组数据来计算CoR得分评价的归一化因子。这允许按相对于与该组数据相当的数据(例如,同一类型、同一广告活动、同一组视频游戏等级)的标度测量一段媒体,并可产生百分位评价。作为一个非限制性的例子,电影X处在CoR得分的95%百分位内是很好的,而电影Y处在电影得分的55%内则意味着观众没有产生像电影X中那么多的情绪,因此电影Y在市场上将不如电影X表现得好。
分级CoR得分:在一些实施例中,还可以为媒体产生分级得分,从而允许采用A、B、C、D、F评价或与之相当的其他方案。
在一些实施例中,除了基于在观众之间恒定的时间序列计算出的得分以外,还可以为诸如视频游戏、网站和其他交互式媒体的非线性或半线性媒体计算得分。每个观众的时间序列可分成对所有观众都呈现的事件。这些事件包括但不限于视频游戏中的搏斗场景、爆炸、观看网站的主页、进入DVD的一章等等。
在一些实施例中,一致性模块可这样产生CoR的总体评价:对整个媒体中各个事件的CoR值的幅度取平均,以便比较媒体中不同事件的效力:
总
还可以在CoR值上放置非线性权重:
总
此处,f(x)可以是对数函数、多项式函数等等:
f(x)=x2
f(x)=x3
f(x)=x2+x
f(x)=log(x)
…
此处,该函数可改变数据的特性,这大大增加了在得分上看到的区别。这涉及到将低一致性得分(比如10%一致)分类为很低,而将高一致性得分(比如70%一致)分类为很好。通过利用比如f(x)=x2的函数,这两个值将很大程度地区别开,使得10%值仅为.01而70%值为.49,或者说5倍大。这将高一致性点与低一致性点区别开,从而使具有低一致性的媒体更加不利而有助于具有高一致性的媒体。总体上说,CoR得分是可用于比较媒体中多个事件的体验和效力以及此类型的其他量度的值。该值越高,媒体的一致性越高。
然后,可通过相同的数学公式计算对事件中每个实例的反应的一致性,其中计算的时段是事件的长度而不是时间的增量。计算结果将是对每个事件的反应的评价。作为一个非限制性的例子,如果其中游戏X的视频游戏玩家与终极怪物X互作用的事件的70%导致吸引的上升,而与终极怪物Y的互作用的90%导致吸引的上升,则终极怪物Y比终极怪物X具有更一致的反应。可针对该段媒体中的每个相关事件进行这种计算,然后将这些得分相组合以产生总得分。
在一些实施例中,一致性模块可通过将生理反应的多个向量的CoR值相组合来产生体验的一致性的更完整的量度:
完全情绪CoR=CoR喜爱+CoR思考+CoR身体吸引+...
涵盖了作为更完整版本的量度的多个生理反应向量的该完全CoR值将媒体的不同方面考虑在内。如果媒体激发思考、产生相同的正面和负面反应并且同样地吸引观众,则媒体将是有力的并且将在市场上表现良好。考虑各个向量的特定子集的原因是为了度量观众体验的多个方面。如果每个观众思考媒体中的同一点(事件),但具有不同的情绪喜爱值,则结论是:虽然媒体使观众思考,但观众对媒体的反应在情绪上是很不相同的,一些具有正面反应而一些具有负面反应。
在一些实施例中,一致性模块可进一步操作为按照种族、性别、年龄、人口统计状况、收入、习惯和兴趣中的一个或多个将多个观众分组,并且根据多个观众的所述分组将对特定一个事件和/或媒体的评价相关联和/或相比较。
存在观察事件和媒体的这些量度/评价的许多方式,从CoR值列表到曲线图、再到包括其CoR值被绘图的媒体的多个事件和/或多个CoR方面在内的散点图。作为一个非限制性的例子,图6(a)示出了Budweiser 1-3及Miller 1-3这六个广告的示例CoR值。可以看出,Budweiser广告比Miller广告具有高得多的CoR值,这与Budweiser在市场上的更好表现相关。作为另一个非限制性的例子,图6(b)示出了对第一人称射击游戏(FPS)1-2和角色扮演游戏(RPG)1-3这五个视频游戏的喜爱和身体吸引的示例CoR值。角色扮演游戏(RPG)情节丰富,非常擅于在玩家中产生情绪反应,这为它们的喜爱CoR得分较高所证明。另一方面,它们的身体吸引CoR得分低得多,这归因于不总是强烈的对随机小战斗的较不一致的情绪。相反,第一人称射击游戏(FPS)非常擅于在玩家中产生一致性强的体验,但它们不那么一致地在玩家中产生正面和负面情绪,从而导致它们较高的身体吸引CoR得分和低的喜爱CoR得分。
一个实施例可采用根据本公开的教导编程的传统通用或专用数字计算机或微处理器来实现,这对于计算机领域的技术人员是显而易见的。适当的软件编码可容易由熟练的程序员基于本公开的教导来准备,这对于软件领域的技术人员是显而易见的。本发明亦可通过准备集成电路或通过将构成适当网络的传统部件电路互连来实现,这对于本领域的技术人员是显而易见的。
一个实施例包括计算机程序产品,该计算机程序产品是其上/其中存储有指令的机器可读介质,这些指令可用于将一个或多个计算设备编程为执行这里展示的任何特征。机器可读介质可包括但不限于一种或多种类型的盘,包括软盘、光盘、DVD、CD-ROM、微驱动器和磁光盘、ROM、RAM、EPROM、EEPROM、DRAM、VRAM、闪存器件、磁卡或光卡、纳米系统(包括分子存储器IC)、或适合于存储指令和/或数据的任何类型的介质或器件。存储在任何一个计算机可读介质上,本发明包括这样的软件:其用于控制通用/专用计算机或微处理器的硬件,并且用于使得计算机或微处理器能够利用本发明的结果与观众或其他机构交互。这种软件可包括但不限于设备驱动器、操作系统、执行环境/容器和应用程序。
为了说明和描述的目的提供了本发明的优选实施例的以上描述。并非意在为穷举性的或将本发明限制于所公开的精确形式。许多修改或变化对于本领域的技术人员是显而易见的。特别地,虽然在上述系统和方法的实施例中使用了概念“模块”,但是此概念显然可与诸如种类、方法、类型、接口、部件、对象模型及其他合适的概念的等价概念互换使用。选择和描述实施例以便最好地描述本发明及其实际应用的原理,从而使得本领域的其他技术人员能够理解本发明,可以预期各种实施例及其适合于具体用途的各种修改。本发明的范围意在由权利要求及其等价内容来限定。
Claims (30)
1.一种基于生理反应的一致性来支持媒体评价的系统,包括:
一个或多个传感器,其可操作为测量观看所述媒体的多个事件的多个观众中的每一个的生理数据;以及
一致性模块,其可操作为:
基于从观看所述多个事件中的特定一个事件的所述多个观众中的每一个测得的所述生理数据来得到生理反应;
计算所述多个观众对所述特定一个事件的所述生理反应的一致性;以及
基于所述多个观众的所述生理反应的一致性来评价所述特定一个事件和/或所述媒体。
2.一种基于生理反应的一致性来支持媒体评价的系统,包括:
一体式传感器头套,其可操作为测量观看所述媒体的多个事件的多个观众中的每一个的生理数据;以及
一致性模块,其可操作为:
基于从观看所述多个事件中的特定一个事件的所述多个观众中的每一个测得的所述生理数据来得到生理反应;
计算所述多个观众对所述特定一个事件的所述生理反应的一致性;以及
基于所述多个观众的所述生理反应的一致性来评价所述特定一个事件和/或所述媒体。
3.根据权利要求1所述的系统,其中:
所述媒体是以下之一:电影、视频、电视节目、电视商业广告、广告、视频游戏、交互式在线媒体、印刷品以及观众能从中获知信息或情绪上受其影响的任何其他媒体。
4.根据权利要求1所述的系统,其中:
所述媒体的所述多个事件中的每一个的持续时间在时间上是恒定的、非线性的或半线性的。
5.根据权利要求1所述的系统,其中:
所述一个或多个传感器中的每一个是以下之一:脑电图仪、加速度计、血氧传感器、检流计、肌电图仪和任何其他生理传感器。
6.根据权利要求2所述的系统,其中:
所述一体式传感器头套包括以下中的一个或多个:
一个或多个轴向加速度计;
一个或多个脑电图(EEG)电极;
一个或多个心率传感器;以及
处理单元。
7.根据权利要求1所述的系统,其中:
所述生理数据是以下中的一个或多个:心率、脑电图(EEG)信号、眨眼率、呼吸、运动。
8.根据权利要求1所述的系统,其中:
所述生理反应是以下中的一个或多个:思考、喜爱、吸引、沉浸、身体吸引、诱发和热情。
9.根据权利要求1所述的系统,其中:
所述一致性模块可进一步操作为记录从所述特定一个事件的所述多个观众中的每一个测得的所述生理数据。
10.根据权利要求1所述的系统,其中:
所述一致性模块可进一步操作为去除基于所述特定一个事件的持续时间测得的所述生理数据的高频部分或低频部分。
11.根据权利要求1所述的系统,其中:
所述一致性模块可进一步操作为基于所述多个观众对所述特定一个事件的所述生理反应的标准偏差和/或所述生理反应的导出量的标准偏差来计算所述生理反应的一致性。
12.根据权利要求1所述的系统,其中:
所述一致性模块可进一步操作为:
基于所述多个观众对所述特定一个事件的所述生理反应的类似性将所述生理反应按类元划分到多个预定类别中;以及
基于所述多个预定类别中的每一个中的所述生理反应的百分比来计算所述生理反应的一致性。
13.根据权利要求12所述的系统,其中:
所述多个预定类别包括以下中的一个或多个:很正面的、正面的、平淡的、负面的、很负面的。
14.根据权利要求12所述的系统,其中:
所述一致性模块可进一步操作为在大多数所述生理反应落入所述多个预定类别中的一个的情况下将所述特定一个事件评价为高,或在大多数所述生理反应落入所述多个预定类别中的多个中的情况下将所述特定一个事件评价为低。
15.根据权利要求1所述的系统,其中:
所述一致性模块可进一步操作为在大多数所述多个观众对所述事件感受相同的情况下将所述特定一个事件评价为高,或在大多数所述多个观众对所述事件感受不同的情况下将所述特定一个事件评价为低。
16.根据权利要求1所述的系统,其中:
所述一致性模块可进一步操作为基于对所述媒体的所述多个事件的评价来评价所述媒体。
17.根据权利要求1所述的系统,其中:
所述一致性模块可进一步操作为通过以下中的一个或多个来评价所述特定一个事件和/或所述媒体:绝对得分、相对于与所述媒体相当的媒体的得分以及分级得分。
18.根据权利要求1所述的系统,其中:
所述一致性模块可进一步操作为:
按照种族、性别、年龄、人口统计状况、收入、习惯和兴趣中的一个或多个将所述多个观众分组;以及
根据所述多个观众的所述分组将对所述特定一个事件和/或所述媒体的评价相关联和/或相比较。
19.一种基于生理反应的一致性来支持媒体评价的方法,包括:
测量观看所述媒体的多个事件的多个观众中的每一个的生理数据;
基于从观看所述多个事件中的特定一个事件的所述多个观众中的每一个测得的所述生理数据来得到生理反应;
计算所述多个观众对所述特定一个事件的所述生理反应的一致性;以及
基于所述多个观众的所述生理反应的一致性来评价所述特定一个事件和/或所述媒体。
20.根据权利要求19所述的方法,进一步包括:
记录从所述特定一个事件的所述多个观众中的每一个测得的所述生理数据。
21.根据权利要求19所述的方法,进一步包括:
去除基于所述特定一个事件的持续时间测得的所述生理数据的高频部分或低频部分。
22.根据权利要求19所述的方法,进一步包括:
基于所述多个观众对所述特定一个事件的所述生理反应的标准偏差和/或所述生理反应的导出量的标准偏差来计算所述生理反应的一致性。
23.根据权利要求19所述的方法,进一步包括:
基于所述多个观众对所述特定一个事件的所述生理反应的类似性将所述生理反应按类元划分到多个预定类别中;以及
基于所述多个预定类别中的每一个中的所述生理反应的百分比来计算所述生理反应的一致性。
24.根据权利要求23所述的方法,进一步包括:
在大多数所述生理反应落入所述多个预定类别中的一个中的情况下将所述特定一个事件评价为高,或在大多数所述生理反应落入所述多个预定类别中的多个中的情况下将所述特定一个事件评价为低。
25.根据权利要求19所述的方法,进一步包括:
在大多数所述多个观众对所述特定一个事件感受相同的情况下将所述特定一个事件评价为高,或在大多数所述多个观众对所述特定一个事件感受不同的情况下将所述特定一个事件评价为低。
26.根据权利要求19所述的方法,进一步包括:
基于对所述媒体的所述多个事件的评价来评价所述媒体。
27.根据权利要求19所述的方法,进一步包括:
通过以下中的一个或多个来评价所述特定一个事件和/或所述媒体:绝对得分、相对于与所述媒体相当的媒体的得分以及分级得分。
28.根据权利要求19所述的方法,进一步包括:
按照种族、性别、年龄、人口统计状况、收入、习惯和兴趣中的一个或多个将所述多个观众分组;以及
根据所述多个观众的所述分组将对所述特定一个事件和/或所述媒体的评价相关联和/或相比较。
29.一种存储有指令的机器可读介质,所述指令在被执行时使得系统:
测量观看所述媒体的多个事件的多个观众中的每一个的生理数据;
基于从观看所述多个事件中的特定一个事件的所述多个观众中的每一个测得的所述生理数据来得到生理反应;
计算所述多个观众对所述特定一个事件的所述生理反应的一致性;以及
基于所述多个观众的所述生理反应的一致性来评价所述特定一个事件和/或所述媒体。
30.一种基于生理反应的一致性来支持媒体评价的系统,包括:
测量观看所述媒体的多个事件的多个观众中的每一个的生理数据的装置;
基于从观看所述多个事件中的特定一个事件的所述多个观众中的每一个测得的所述生理数据来得到生理反应的装置;
计算所述多个观众对所述特定一个事件的所述生理反应的一致性的装置;以及
基于所述多个观众的所述生理反应的一致性来评价所述特定一个事件和/或所述媒体的装置。
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WO2019140784A1 (zh) * | 2018-01-18 | 2019-07-25 | 深圳光峰科技股份有限公司 | 一种播放影片的方法、影片播放机及影片服务器 |
CN110019853A (zh) * | 2018-06-20 | 2019-07-16 | 新华网股份有限公司 | 感兴趣场景识别方法和系统 |
CN109144242A (zh) * | 2018-06-20 | 2019-01-04 | 新华网股份有限公司 | 选手表演评测方法和系统 |
CN112887771A (zh) * | 2021-01-28 | 2021-06-01 | Oppo广东移动通信有限公司 | 视频评价方法及装置、计算机可读介质和电子设备 |
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US20130185744A1 (en) | 2013-07-18 |
US20080222670A1 (en) | 2008-09-11 |
JP2010520553A (ja) | 2010-06-10 |
US8230457B2 (en) | 2012-07-24 |
US8973022B2 (en) | 2015-03-03 |
WO2008108800A1 (en) | 2008-09-12 |
EP2135371A1 (en) | 2009-12-23 |
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