{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T22:29:46Z","timestamp":1775255386889,"version":"3.50.1"},"reference-count":48,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2017,3,10]],"date-time":"2017-03-10T00:00:00Z","timestamp":1489104000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Argument &amp; Computation"],"published-print":{"date-parts":[[2017,5,9]]},"abstract":"<jats:p> Argumentation is a mechanism to support different forms of reasoning such as decision making and persuasion and always cast under the light of critical thinking. In the latest years, several computational approaches to argumentation have been proposed to detect conflicting information, take the best decision with respect to the available knowledge, and update our own beliefs when new information arrives. The common point of all these approaches is that they assume a purely rational behavior of the involved actors, be them humans or artificial agents. However, this is not the case as humans are proved to behave differently, mixing rational and emotional attitudes to guide their actions. Some works have claimed that there exists a strong connection between the argumentation process and the emotions felt by people involved in such process. We advocate a complementary, descriptive and experimental method, based on the collection of emotional data about the way human reasoners handle emotions during debate interactions. Across different debates, people\u2019s argumentation in plain English is correlated with the emotions automatically detected from the participants, their engagement in the debate, and the mental workload required to debate. Results show several correlations among emotions, engagement and mental workload with respect to the argumentation elements. For instance, when two opposite opinions are conflicting, this is reflected in a negative way on the debaters\u2019 emotions. Beside their theoretical value for validating and inspiring computational argumentation theory, these results have applied value for developing artificial agents meant to argue with human users or to assist users in the management of debates. <\/jats:p>","DOI":"10.3233\/aac-170015","type":"journal-article","created":{"date-parts":[[2017,3,10]],"date-time":"2017-03-10T15:39:25Z","timestamp":1489160365000},"page":"61-87","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":24,"title":["Emotions and personality traits in argumentation: An empirical evaluation"],"prefix":"10.1177","volume":"8","author":[{"given":"Serena","family":"Villata","sequence":"first","affiliation":[{"name":"Universit\u00e9 C\u00f4te d\u2019Azur, CNRS, Inria, I3S, France"}]},{"given":"Elena","family":"Cabrio","sequence":"additional","affiliation":[{"name":"Universit\u00e9 C\u00f4te d\u2019Azur, CNRS, Inria, I3S, France"}]},{"given":"Im\u00e8ne","family":"Jraidi","sequence":"additional","affiliation":[{"name":"University of Montreal, Canada"}]},{"given":"Sahbi","family":"Benlamine","sequence":"additional","affiliation":[{"name":"University of Montreal, Canada"}]},{"given":"Maher","family":"Chaouachi","sequence":"additional","affiliation":[{"name":"University of Montreal, Canada"}]},{"given":"Claude","family":"Frasson","sequence":"additional","affiliation":[{"name":"University of Montreal, Canada"}]},{"given":"Fabien","family":"Gandon","sequence":"additional","affiliation":[{"name":"Universit\u00e9 C\u00f4te d\u2019Azur, Inria, CNRS, I3S, France"}]}],"member":"179","published-online":{"date-parts":[[2017,3,10]]},"reference":[{"key":"ref001","unstructured":"I.\u00a0Arroyo, D.G.\u00a0Cooper, W.\u00a0Burleson, B.P.\u00a0Woolf, K.\u00a0Muldner and R.\u00a0Christopherson, Emotion sensors go to school, in: Proceedings of the 2009 Conference on Artificial Intelligence in Education: Building Learning Systems That Care: From Knowledge Representation to Affective Modelling, IOS Press, Amsterdam, The Netherlands, 2009, pp.\u00a017\u201324."},{"key":"ref002","unstructured":"S.\u00a0Benlamine, M.\u00a0Chaouachi, S.\u00a0Villata, E.\u00a0Cabrio, C.\u00a0Frasson and F.\u00a0Gandon, Emotions in argumentation: An empirical evaluation, in: Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25\u201331, 2015, Q.\u00a0Yang and M.\u00a0Wooldridge, eds, AAAI Press, 2015, pp.\u00a0156\u2013163."},{"key":"ref003","doi-asserted-by":"publisher","DOI":"10.1177\/0963721412469394"},{"issue":"3","key":"ref004","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1080\/19462166.2013.862303","volume":"4","author":"Cabrio E.","year":"2013","journal-title":"Argument & Computation"},{"issue":"2","key":"ref005","first-page":"249","volume":"22","author":"Carletta J.","year":"1996","journal-title":"Computational Linguistics"},{"key":"ref006","unstructured":"V.\u00a0Carofiglio and F.\u00a0de\u00a0Rosis, Combining logical with emotional reasoning in natural argumentation, in: 9th International Conference on User Modeling. 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