How Human Am I?: EEG-based Evaluation of Virtual Characters

論文URL:http://dl.acm.org/citation.cfm?doid=3025453.3026043

論文アブストラクト:There is a continuous effort by animation experts to create increasingly realistic and more human-like digital characters. However, as virtual characters become more human they risk evoking a sense of unease in their audience. This sensation, called the Uncanny Valley effect, is widely acknowledged both in the popular media and scientific research but empirical evidence for the hypothesis has remained inconsistent. In this paper, we investigate the neural responses to computer-generated faces in a cognitive neuroscience study. We record brain activity from participants (N = 40)} using electroencephalography (EEG) while they watch videos of real humans and computer-generated virtual characters. Our results show distinct differences in neural responses for highly realistic computer-generated faces such as Digital Emily compared with real humans. These differences are unique only to agents that are highly photorealistic, i.e. the `uncanny' response. Based on these specific neural correlates we train a support vector machine~(SVM) to measure the probability of an uncanny response for any given computer-generated character from EEG data. This allows the ordering of animated characters based on their level of `uncanniness'.

日本語のまとめ:

「不気味の谷」の気持ち悪さはアンケートや視線計測といった外的な観察だけでは特定しきれないため,脳波測定を用いて測定を実施.すると脳波においてもやはりある一定のリアルさを越えると不快指数が急激に上がり谷ができることが判明.

(110文字)

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