Measuring Naturalness during Close Encounters Using Physiological Signal Processing

Many researchers in the HRI and ECA domains try to build robots and agents that exhibit human-like behavior in real-world close encounter situations. One major requirement for comparing such robots and agents is to have an objective quantitative metric for measuring naturalness in various kinds of interactions. Some researchers have already suggested techniques for measuring stress level, awareness etc using physiological signals like GSR and BVP. One problem of available techniques is that they are only tested with extreme situations and cannot according to the analysis provided in this paper distinguish the response of human subjects in natural interaction situations. One other problem of the available techniques is that most of them require calibration and some times ad-hoc adjustment for every subject. This paper explores the usefulness of various kinds of physiological signals and statistics in distinguishing natural and unnatural partner behavior in a close encounter situation. T...

• Type: Conference
• Year: 2009
• Where: IEAAIE
• Authors: Yasser F. O. Mohammad, Toyoaki Nishida
• Keywords: Artificial Intelligence, Close Encounter Situations, IEAAIE 2009, Physiological Signals, Real-world Close Encounter