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Exploring Eye-Blink Startle Response as a Physiological Measure for Affective Computing

机译:探索眨眼闪烁响应作为情感计算的生理措施

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In affective computing, detection of stress and negative emotions with physiological measures typically employs well-known signals such as skin conductance, activity of cheeks and forehead muscles, heart rate or heart rate variability. However, psychophysiology experiments in the literature offer additional measures (such as eye-blink startle response) not yet exploited in affective computing applications. Procedures to elicit eye-blink startle responses are often based on acoustic stimuli, in particular short bursts of intense white noise. Unfortunately, following this approach in affective computing applications would not be natural, because the artificial white noise bursts would be intrusive sounds unrelated to the user experience. They would thus distract the user from the meaningful events in the application and user's (conscious or unconscious) attempts to relate those events to the artificial stimuli would be unsuccessful and frustrating, making the stimuli detrimental to the user experience. Our research aims at exploring if sounds that have a meaningful relation with the events in the application could be used as an alternative to white noise bursts. The study we present in this paper compares physiological responses of users of a 3D virtual environment in two conditions (measurement of eye-blink startle response to white noise or to an alternative sound that is related to the experience), showing that the two types of acoustic stimuli produce a similar intensity of startle response. This result suggests that eye-blink startle response could be used in natural ways to extend the set of physiological measures employed in affective computing.
机译:在情感计算中,具有生理措施的应力和负面情绪的检测通常使用众所周知的信号,例如皮肤电导,脸颊和前额肌肉的活动,心率或心率变化。然而,文献中的心理生理实验提供了尚未在情感计算应用中进行的额外措施(如眼睛眨眼响应)。引出眼睛眨眼的程序通常基于声学刺激,特别是强烈的白噪声短爆发。遗憾的是,在情感计算应用中的这种方法之后不会自然,因为人造白噪声突发将是与用户体验无关的侵入声。因此,他们将使用户分散应用程序和用户(意识或无意识)中的有意义事件的注意力将这些事件与人工刺激相关联,这将是不成功和令人沮丧的,使得刺激对用户体验有害。我们的研究旨在探索与应用程序中的事件具有有意义关系的声音,可以用作白噪声突发的替代方案。我们本文存在的研究比较了在两个条件下的3D虚拟环境的用户的生理反应(对白噪声的眨眼响应或与经验有关的替代声音),显示两种类型声刺激产生类似的惊吓反应强度。该结果表明,眼睛眨眼偏振响应可用于自然的方式来扩展有情感计算中采用的生理措施集。

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