Title :
A Computational Model of Empathy: Empirical Evaluation
Author :
Boukricha, Hana ; Wachsmuth, Ipke ; Carminati, Maria Nella ; Knoeferle, Pia
Author_Institution :
Fac. of Technol., Bielefeld Univ., Bielefeld, Germany
Abstract :
Empathy can be defined as the ability to perceive and understand others´ emotional states. Neuropsychological evidence has shown that humans empathize with each other to different degrees depending on factors such as their mood, personality, and social relationships. Although artificial agents have been endowed with features such as affect, personality, and the ability to build social relationships, little attention has been devoted to the role of such features as factors that can modulate their empathic behavior. In this paper, we present and discuss the results of an empirical evaluation of a computational model of empathy which allows a virtual human to exhibit different degrees of empathy. Our model is supported by psychological models of empathy and is applied and evaluated in the context of a conversational agent scenario.
Keywords :
behavioural sciences computing; multi-agent systems; psychology; artificial agents; computational empathy model; conversational agent scenario; emotional states; empathic behavior; neuropsychological evidence; psychological empathy models; social relationships; virtual human; Computational modeling; Context modeling; Modulation; Mood; Speech; Standards; Videos; Computational Modeling; Degrees of Empathy; Empathic Virtual Humans; Empirical Evaluation;
Conference_Titel :
Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
Conference_Location :
Geneva
DOI :
10.1109/ACII.2013.7