Human Perception of Laughter from Context-free Whole Body Motion Dynamic Stimuli

Gary McKeown, William Curran, Denise Kane, Rebecca McCahon, Harry J. Griffin, Ciaran McLoughlin, Nadia Bianchi-Berthouze

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)
462 Downloads (Pure)


Laughter is a ubiquitous social signal in human interactions yet it remains understudied from a scientific point of view. The need to understand laughter and its role in human interactions has become more pressing as the ability to create conversational agents capable of interacting with humans has come closer to a reality. This paper reports on three aspects of the human perception of laughter when context has been removed and only the body information from the laughter episode remains. We report on ability to categorise the laugh type and the sex of the laugher; the relationship between personality factors with laughter categorisation and perception; and finally the importance of intensity in the perception and categorisation of laughter.
Original languageEnglish
Title of host publication2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII),
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)978-0-7695-5048-0
Publication statusPublished - 04 Sept 2013
EventAffective Computing and Intelligent Interaction (ACII 2013) - Geneva, Switzerland
Duration: 02 Sept 201305 Sept 2013


ConferenceAffective Computing and Intelligent Interaction (ACII 2013)


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