Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth

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• 作者：Enkelejda Kasneci^a ; ^{enkelejda.kasneci@uni-tuebingen.de} ; Thomas K&uuml ; bler^a ; Klaus Broelemann^b ; Gjergji Kasneci^b
• 关键词：Eye tracking ; Hazard perception ; Physiological signals ; Response aggregation ; Eye tracking ; Pupil dilation ; ECG ; Galvanic skin response
• 刊名：Computers in Human Behavior
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：68
• 期：Complete
• 页码：450-455
• 全文大小：803 K
• 卷排序：68

文摘

Aggregation of eye tracking with physiological sensors to predict visual perception. Probabilistic response aggregation methods for data obtained from driving sessions. High prediction quality, i.e. 96% precision and recall for hazard perception. Real-time applicability in the absence of ground truth.