Machines outperform laypersons in recognizing emotions elicited by autobiographical recollection

Human-Computer Interaction

Volumn 28, Issue 6, 2013, Pages 479-517

  Janssen, Joris H ^a,b,g   Tacken, Paul ^b,h   De Vries, J J ^b,g   Van Den Broek, Egon L ^c,d,e,i   Westerink, Joyce H D M ^b,g   Haselager, Pim ^f,j   Ijsselsteijn, Wijnand A ^a,k  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b PHILIPS RESEARCH LABORATORIES   (Netherlands)

^c TNO   (Netherlands)

^d UNIVERSITY OF TWENTE   (Netherlands)

^e RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^f RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^g High Tech Campus 34 ^*  (Netherlands)

^h not available   (Netherlands)

ⁱ not available   (Netherlands)

^j not available   (Netherlands)

^k not available   (Netherlands)

more..

Author keywords

[No Author keywords available]

Indexed keywords

PHYSIOLOGY; SUPPORT VECTOR MACHINES;

AUTOMATED RECOGNITION; EMOTION RECOGNITION; EMOTIONAL STATE; FACIAL EXPRESSIONS; HUMAN EMOTION RECOGNITION; PHYSIOLOGICAL SIGNALS; RECOGNITION ACCURACY; RECOGNIZING EMOTIONS;

SPEECH RECOGNITION;

EID: 84881302141     PISSN: 07370024     EISSN: None     Source Type: Journal    
DOI: 10.1080/07370024.2012.755421     Document Type: Article

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