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Multicriteria Decision Analysis and Conversational Agents for Children with Autism

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dc.contributor.author Spitale, Micol
dc.contributor.author Catania, Fabio
dc.contributor.author Crovari, Pietro
dc.contributor.author Garzotto, Franca
dc.date.accessioned 2020-01-04T07:21:00Z
dc.date.available 2020-01-04T07:21:00Z
dc.date.issued 2020-01-07
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/63864
dc.description.abstract Conversational agents has emerged as a new means of communication and social skills training for children with autism spectrum disorders (ASD), encouraging academia, industry, and therapeutic centres to investigate it further. This paper aims to develop a methodological framework based on Multicriteria Decision Analysis (MCDA) to identify "the best", i.e. the most effective, conversational agent for this target group. To our knowledge, it is the first time the MCDA is applied to this specific domain. Our contribution is twofold: i) our method is an extension of traditional MCDA and we exemplify how to apply it to decision making process related to CA for person with autism: a methodological result that would be adopted for a broader range of technologies for person with impairments similar to ASD; ii) our results, based on the above mentioned method, suggest that Embodied Conversational Agent is most appropriate conversational technology to interact with children with ASD.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Business Intelligence, Analytics and Cognitive Technologies for Industry - Specific Applications
dc.subject decision analysis
dc.subject conversational agents
dc.subject value focused thinking
dc.subject children
dc.subject autistic spectrum disorder
dc.title Multicriteria Decision Analysis and Conversational Agents for Children with Autism
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2020.125
Appears in Collections: Business Intelligence, Analytics and Cognitive Technologies for Industry - Specific Applications


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