Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/58907
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dc.contributor.authorOjha, Sumanen
dc.contributor.authorVitale, Jonathanen
dc.contributor.authorWilliams, Mary-Anneen
dc.date.accessioned2024-05-03T01:32:14Z-
dc.date.available2024-05-03T01:32:14Z-
dc.date.issued2017-07-
dc.identifier.citationProceedings of the 39th Annual Meeting of the Cognitive Science Society (CogSci 2017), v.39, p. 2833-2838en
dc.identifier.isbn9781510846616en
dc.identifier.urihttps://hdl.handle.net/1959.11/58907-
dc.description.abstract<p>According to cognitive appraisal theory, emotion in an individual is the result of how a situation/event is evaluated by the individual. This evaluation has different outcomes among people and it is often suggested to be operationalised by a set of rules or beliefs acquired by the subject throughout development. Unfortunately, this view is particularly detrimental for computational applications of emotion appraisal. In fact, it requires providing a knowledge base that is particularly difficult to establish and manage, especially in systems designed for highly complex scenarios, such as social robots. In addition, according to appraisal theory, an individual might elicit more than one emotion at a time in reaction to an event. Hence, determining which emotional state should be attributed in relationship to a specific event is another critical issue not yet fully addressed by the available literature. In this work, we show that: (i) the cognitive appraisal process can be realised without a complex set of rules; instead, we propose that this process can be operationalised by knowing only the positive or negative perceived effect the event has on the subject, thus facilitating extensibility and integrability of the emotional system; (ii) the final emotional state to attribute in relation to a specific situation is better explained by ethical reasoning mechanisms. These hypotheses are supported by our experimental results. Therefore, this contribution is particularly significant to provide a more simple and generalisable explanation of cognitive appraisal theory and to promote the integration between theories of emotion and ethics studies, currently often neglected by the available literature.</p>en
dc.languageenen
dc.publisherCurran Associates, Incen
dc.relation.ispartofProceedings of the 39th Annual Meeting of the Cognitive Science Society (CogSci 2017)en
dc.titleA Domain-Independent Approach of Cognitive Appraisal Augmented by Higher Cognitive Layer of Ethical Reasoningen
dc.typeConference Publicationen
dc.relation.conferenceAnnual Conference of the Cognitive Science Societyen
local.contributor.firstnameSumanen
local.contributor.firstnameJonathanen
local.contributor.firstnameMary-Anneen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailjvitale@une.edu.auen
local.output.categoryE2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference26th to 29th of July, 2017en
local.conference.placeLondon, United Kingdomen
local.publisher.placeUnited States of Americaen
local.format.startpage2833en
local.format.endpage2838en
local.identifier.volume39en
local.contributor.lastnameOjhaen
local.contributor.lastnameVitaleen
local.contributor.lastnameWilliamsen
dc.identifier.staffune-id:jvitaleen
local.profile.orcid0000-0001-6099-675Xen
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/58907en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA Domain-Independent Approach of Cognitive Appraisal Augmented by Higher Cognitive Layer of Ethical Reasoningen
local.output.categorydescriptionE2 Non-Refereed Scholarly Conference Publicationen
local.conference.detailsAnnual Conference of the Cognitive Science Society, London, United Kingdom, 26th to 29th of July, 2017en
local.search.authorOjha, Sumanen
local.search.authorVitale, Jonathanen
local.search.authorWilliams, Mary-Anneen
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2017en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/62a19d28-6a66-4a6f-a733-edd07c7d7e66en
local.subject.for20204601 Applied computingen
local.subject.seo2020tbden
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-05-03en
Appears in Collections:Conference Publication
School of Science and Technology
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