Computational Rationality as a Theory of Interaction

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openAccess

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A4 Artikkeli konferenssijulkaisussa

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2022-04-29

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en

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ACM SIGCHI annual conference on human factors in computing systems

Abstract

How 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.

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Funding Information: This work was funded by the Finnish Center for AI and Academy of Finland (“BAD” and “Human Automata”). We thank our reviewers, Xiuli Chen, Joerg Mueller, Christian Guckelsberger, Sebastiaan de Peuter, Samuel Kaski, Pierre-Alexandre Murena, Antti Keuru-lainen, Suyog Chandramouli, and Roderick Murray-Smith for their comments. Publisher Copyright: © 2022 ACM.

Keywords

adaptation, Cognitive modeling, computational rationality, individual differences, interaction, reinforcement learning

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Citation

Oulasvirta, A, Jokinen, J P P & Howes, A 2022, Computational Rationality as a Theory of Interaction . in ACM SIGCHI annual conference on human factors in computing systems ., 359, ACM, ACM SIGCHI Annual Conference on Human Factors in Computing Systems, New Orleans, Louisiana, United States, 30/04/2022 . https://doi.org/10.1145/3491102.3517739