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

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Eye tracking,Hazard perception,Physiological signals,Response aggregation,Eye tracking,Pupil dilation,ECG,Galvanic skin response

论文评审过程：Received 25 July 2016, Revised 28 November 2016, Accepted 30 November 2016, Available online 2 December 2016, Version of Record 8 December 2016.

论文官网地址：https://doi.org/10.1016/j.chb.2016.11.067