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dc.contributor.authorOulasvirta, Antti
dc.contributor.authorJokinen, Jussi P. P.
dc.contributor.authorHowes, Andrew
dc.contributor.editorBarbosa, Simone
dc.contributor.editorLampe, Cliff
dc.contributor.editorAppert, Caroline
dc.contributor.editorShamma, David A.
dc.contributor.editorDrucker, Steven
dc.contributor.editorWilliamson, Julie
dc.contributor.editorYatani, Koji
dc.date.accessioned2022-05-11T09:06:33Z
dc.date.available2022-05-11T09:06:33Z
dc.date.issued2022
dc.identifier.citationOulasvirta, A., Jokinen, J. P.P., & Howes, A. (2022). Computational Rationality as a Theory of Interaction. In S. Barbosa, C. Lampe, C. Appert, D. A. Shamma, S. Drucker, J. Williamson, & K. Yatani (Eds.), <i>CHI '22 : Proceedings of the 2022 CHI Conference on Human Factors in Computing System</i>. ACM. <a href="https://doi.org/10.1145/3491102.3517739" target="_blank">https://doi.org/10.1145/3491102.3517739</a>
dc.identifier.otherCONVID_144259546
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/80999
dc.description.abstractHow do people interact with computers? This fundamental question was asked by Card, Moran, and Newell in 1983 with a proposition to frame it as a question about human cognition – in other words, as a matter of how information is processed in the mind. Recently, the question has been reframed as one of adaptation: how do people adapt their interaction to the limits imposed by cognition, device design, and environment? The paper synthesizes advances toward an answer within the theoretical framework of computational rationality. The core assumption is that users act in accordance with what is best for them, given the limits imposed by their cognitive architecture and their experience of the task environment. This theory can be expressed in computational models that explain and predict interaction. The paper reviews the theoretical commitments and emerging applications in HCI, and it concludes by outlining a research agenda for future work.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofCHI '22 : Proceedings of the 2022 CHI Conference on Human Factors in Computing System
dc.rightsIn Copyright
dc.subject.otherhuman-centered computing
dc.subject.otherHCI theory, concepts and models
dc.subject.otheruser models
dc.subject.othercognitive modeling
dc.subject.othercomputational rationality
dc.subject.otherinteraction
dc.subject.otherreinforcement learning
dc.subject.otheradaptation
dc.subject.otherindividual differences
dc.subject.othercomputing methodologies
dc.subject.otherartificial intelligence
dc.subject.otherphilosophical/ theoretical foundations of artificial intelligence
dc.subject.othercognitive science
dc.titleComputational Rationality as a Theory of Interaction
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-202205112648
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineKognitiotiedefi
dc.contributor.oppiaineCognitive Scienceen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-1-4503-9157-3
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 the Authors
dc.rights.accesslevelopenAccessfi
dc.relation.conferenceACM SIGCHI annual conference on human factors in computing systems
dc.subject.ysoihmisen ja tietokoneen vuorovaikutus
dc.subject.ysosopeutuminen
dc.subject.ysotietokoneet
dc.subject.ysomallintaminen
dc.subject.ysoteoriat
dc.subject.ysotekoäly
dc.subject.ysokognitiotiede
dc.subject.ysoatk-laitteet
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p38007
jyx.subject.urihttp://www.yso.fi/onto/yso/p6137
jyx.subject.urihttp://www.yso.fi/onto/yso/p6787
jyx.subject.urihttp://www.yso.fi/onto/yso/p3533
jyx.subject.urihttp://www.yso.fi/onto/yso/p127
jyx.subject.urihttp://www.yso.fi/onto/yso/p2616
jyx.subject.urihttp://www.yso.fi/onto/yso/p16969
jyx.subject.urihttp://www.yso.fi/onto/yso/p7462
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1145/3491102.3517739
jyx.fundinginformationThis work was funded by the Finnish Center for AI and Academy of Finland (“BAD” and “Human Automata”).
dc.type.okmA4


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