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
Toimittajat
Päivämäärä
2022Tekijänoikeudet
© 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.
Julkaisija
ACMEmojulkaisun ISBN
978-1-4503-9157-3Konferenssi
ACM SIGCHI annual conference on human factors in computing systemsKuuluu julkaisuun
CHI '22 : Proceedings of the 2022 CHI Conference on Human Factors in Computing SystemAsiasanat
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
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/144259546
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Lisätietoja rahoituksesta
This work was funded by the Finnish Center for AI and Academy of Finland (“BAD” and “Human Automata”).Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Modeling human road crossing decisions as reward maximization with visual perception limitations
Wang, Yueyang; Srinivasan, Aravinda Ramakrishnan; Jokinen, Jussi, P. P.; Oulasvirta, Antti; Markkula, Gustav (IEEE, 2023)Understanding the interaction between different road users is critical for road safety and automated vehicles (AVs). Existing mathematical models on this topic have been proposed based mostly on either cognitive or machine ... -
Reflections on the human role in AI policy formulations : how do national AI strategies view people?
Salo-Pöntinen, Henrikki; Saariluoma, Pertti (Springer Science and Business Media LLC, 2022)Purpose There is no artificial intelligence (AI) without people. People design and develop AI; they modify and use it and they have to reorganize the ways they have carried out tasks in their work and everyday life. ... -
Grand theories or design guidelines? : Perspectives on the role of theory in computing education research
Tedre, Matti; Pajunen, John (Association for Computing Machinery (ACM), 2023)A rich body of empirically grounded results and a solid theory base have often been viewed as signs of a mature discipline. Many disciplines have frequently debated what they should accept as legitimate kinds of theories, ... -
Quantifying Uncertainty in Machine Theory of Mind Across Time
Zhang, Shanshan; Wu, Chuyang; Jokinen, Jussi P. P. (RWTH Aachen, 2024)As intelligent interactive technologies advance, ensuring alignment with user preferences is critical. Machine theory of mind enablessystems to infer latent mental states from observed behaviors, similarly to humans. ... -
Human-centricity in AI governance : A systemic approach
Sigfrids, Anton; Leikas, Jaana; Salo-Pöntinen, Henrikki; Koskimies, Emmi (Frontiers Media SA, 2023)Human-centricity is considered a central aspect in the development and governance of artificial intelligence (AI). Various strategies and guidelines highlight the concept as a key goal. However, we argue that current ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.