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Measuring Information Acquisition from Sensory Input Using Automated Scoring of Natural-Language Descriptions

机译:使用自然语言描述的自动评分从感官输入中测量信息获取

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摘要

Information acquisition, the gathering and interpretation of sensory information, is a basic function of mobile organisms. We describe a new method for measuring this ability in humans, using free-recall responses to sensory stimuli which are scored objectively using a “wisdom of crowds” approach. As an example, we demonstrate this metric using perception of video stimuli. Immediately after viewing a 30 s video clip, subjects responded to a prompt to give a short description of the clip in natural language. These responses were scored automatically by comparison to a dataset of responses to the same clip by normally-sighted viewers (the crowd). In this case, the normative dataset consisted of responses to 200 clips by 60 subjects who were stratified by age (range 22 to 85y) and viewed the clips in the lab, for 2,400 responses, and by 99 crowdsourced participants (age range 20 to 66y) who viewed clips in their Web browser, for 4,000 responses. We compared different algorithms for computing these similarities and found that a simple count of the words in common had the best performance. It correctly matched 75% of the lab-sourced and 95% of crowdsourced responses to their corresponding clips. We validated the measure by showing that when the amount of information in the clip was degraded using defocus lenses, the shared word score decreased across the five predetermined visual-acuity levels, demonstrating a dose-response effect (N = 15). This approach, of scoring open-ended immediate free recall of the stimulus, is applicable not only to video, but also to other situations where a measure of the information that is successfully acquired is desirable. Information acquired will be affected by stimulus quality, sensory ability, and cognitive processes, so our metric can be used to assess each of these components when the others are controlled.
机译:信息获取,即感官信息的收集和解释,是移动生物的基本功能。我们描述了一种新的方法来测量人类的这种能力,它使用对感觉刺激的自由回忆响应,这些感觉是使用“人群的智慧”方法客观地评分的。例如,我们使用对视频刺激的感知来演示此指标。观看了30 s的视频剪辑后,对象立即响应提示,以自然语言对该剪辑进行简短描述。通过与正常观众(人群)对同一剪辑的响应数据集进行比较,可以对这些响应进行自动评分。在这种情况下,规范性数据集由对60个受试者的200个片段的回答组成,这些受试者按年龄(22至85岁)进行了分层并在实验室中查看了这些片段,获得了2,400个响应,以及99位众包参与者(年龄20至66岁) )谁在其Web浏览器中查看了剪辑,获得了4,000个回复。我们比较了用于计算这些相似性的不同算法,发现对普通单词的简单计数具有最佳性能。它正确地将75%的实验室来源和95%的众包回应与相应的片段进行了匹配。我们通过显示当使用散焦透镜降低剪辑中的信息量时,在五个预定的视敏度水平上共享词得分降低,证明了剂量反应效果(N = 15),从而验证了该措施。对刺激的开放式立即自由记忆进行评分的这种方法不仅适用于视频,而且适用于需要对成功获取的信息进行度量的其他情况。所获得的信息将受到刺激质量,感觉能力和认知过程的影响,因此,当我们控制其他因素时,我们的指标可用于评估这些因素中的每一个。

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