Title :
Human Perception of Laughter from Context-Free Whole Body Motion Dynamic Stimuli
Author :
McKeown, Gary ; Curran, William ; Kane, Daniel ; Mccahon, Rebecca ; Griffin, Harry J. ; McLoughlin, Ciaran ; Bianchi-Berthouze, Nadia
Author_Institution :
Sch. of Psychol., Queen´s Univ. Belfast, Belfast, UK
Abstract :
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.
Keywords :
behavioural sciences computing; ubiquitous computing; context-free whole body motion dynamic stimuli; human interactions; human perception; ubiquitous social signal; Animation; Atmospheric measurements; Context; Correlation; Particle measurements; Pathology; Standards; body movement; laughter; laughter perception; motion capture; personality;
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
Conference_Location :
Geneva
DOI :
10.1109/ACII.2013.57