Computational Rationality as a Theory of Interaction
Oulasvirta, 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.), CHI '22 : Proceedings of the 2022 CHI Conference on Human Factors in Computing System. ACM. https://doi.org/10.1145/3491102.3517739
© 2022 the Authors
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.
Parent publication ISBN978-1-4503-9157-3
ConferenceACM SIGCHI annual conference on human factors in computing systems
Is part of publicationCHI '22 : Proceedings of the 2022 CHI Conference on Human Factors in Computing System
human-centered computing HCI theory, concepts and models user models cognitive modeling computational rationality interaction reinforcement learning adaptation individual differences computing methodologies artificial intelligence philosophical/ theoretical foundations of artificial intelligence cognitive science ihmisen ja tietokoneen vuorovaikutus sopeutuminen tietokoneet mallintaminen teoriat tekoäly kognitiotiede atk-laitteet
Publication in research information system
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Additional information about fundingThis work was funded by the Finnish Center for AI and Academy of Finland (“BAD” and “Human Automata”).
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