NDLI: A User-Modeling Approach to Build User's Psycho-Physiological Maps of Emotions using Bio-Sensors

Content Provider	IEEE Xplore Digital Library
Author	Villon, O. Lisetti, C.
Copyright Year	2006
Description	Author affiliation: Dept. of Multimedia Commun., Eurecom Inst. (Villon, O.; Lisetti, C.)
Abstract	Near to real-time emotion recognition is a promising task for human-computer interaction (HCI) and human-robot interaction (HRI). Using knowledge about the user's emotions depends upon the possibility to extract information about users' emotions during HCI or HRI without explicitly asking users about the feelings they are experiencing. To be able to sense the user's emotions without interrupting the HCI, we present a new method applied to the emotional experience of the user for extracting semantic information from the autonomic nervous system (ANS) signals associated with emotions. We use the concepts of $1^{st}$ person - where the subject consciously (and subjectively) extracts the semantic meaning of a given lived experience, (e.g. `I felt amused') - and $3^{rd}$ person approach - where the experimenter interprets the semantic meaning of the subject's experience from a set of externally (and objectively) measured variables (e.g. galvanic skin response measures). Based on the $3^{rd}$ person approach, our technique aims at psychologically interpreting physiological parameters (skin conductance and heart rate), and at producing a continuous extraction of the user's affective state during HCI or HRI. We also combine it with the $1^{st}$ person approach measure which allows a tailored interpretation of the physiological measure closely related to the user own emotional experience
Starting Page	269
Ending Page	276
File Size	549004
Page Count	8
File Format	PDF
ISBN	1424405645
DOI	10.1109/ROMAN.2006.314429
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-06
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Psychology Human computer interaction Data mining Skin Autonomic nervous system Heart rate Algorithm design and analysis Heart beat Human robot interaction Emotion recognition
Content Type	Text
Resource Type	Article

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