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Article type: Research Article
Authors: Abaalkhail, Ranaa; b; * | Guthier, Benjaminc | Alharthi, Rajwaa; d | El Saddik, Abdulmotaleba
Affiliations: [a] Multimedia Communications Research Laboratory, University of Ottawa, 800 King Edward Ave, K1N 6N5, Ottawa, ON, Canada. E-mails: [email protected], [email protected], [email protected] | [b] College of Computer Science, Information System Department, King Saud University, Kingdom of Saudi Arabia | [c] Department of Computer Science IV, University of Mannheim, Germany. E-mail: [email protected] | [d] College of Computer and Information Technology, Taif University, Kingdom of Saudi Arabia
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: Human behavior is impacted by emotion, mood, personality, needs and subjective well-being. Emotion and mood are human affective states while personality, needs and subjective well-being are influences on those affective states. Ontologies are a method of representing real-world knowledge, such as human affective states and their influences, in a format that a computer can process. They allow researchers to build systems that harness affective states. By unifying terms and meanings, ontologies enable these systems to communicate and share knowledge with each other. In this paper, we survey existing ontologies on affective states and their influences. We also provide the psychological background of affective states, their influences and representational models. The paper discusses a total of 20 ontologies on emotion, one ontology on mood, one ontology on needs, and 11 general purpose ontologies and lexicons. Based on the analysis of existing ontologies, we summarize and discuss the current state of the art in the field.
Keywords: Ontology, affective state, survey, affective computing, emotion
DOI: 10.3233/SW-170270
Journal: Semantic Web, vol. 9, no. 4, pp. 441-458, 2018
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