Computational Rationality as a Theory of Interaction

Antti Oulasvirta; Jussi P.P. Jokinen; Andrew Howes

doi:10.1145/3491102.3517739

Computational Rationality as a Theory of Interaction

Antti Oulasvirta, Jussi P.P. Jokinen, Andrew Howes

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

30 Citations (Scopus)

165 Downloads (Pure)

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.

Original language	English
Title of host publication	ACM SIGCHI annual conference on human factors in computing systems
Publisher	ACM
ISBN (Electronic)	978-1-4503-9157-3
DOIs	https://doi.org/10.1145/3491102.3517739
Publication status	Published - 29 Apr 2022
MoE publication type	A4 Conference publication
Event	ACM SIGCHI Annual Conference on Human Factors in Computing Systems - Virtual, Online, New Orleans, United States Duration: 30 Apr 2022 → 5 May 2022

Conference

Conference	ACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated title	ACM CHI
Country/Territory	United States
City	New Orleans
Period	30/04/2022 → 05/05/2022

Keywords

adaptation
Cognitive modeling
computational rationality
individual differences
interaction
reinforcement learning

Access to Document

10.1145/3491102.3517739

Oulasvirta_Computational_rationality_as_theory_of_interaction_CHIFinal published version, 1.12 MBLicence: Unspecified

Cite this

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title = "Computational Rationality as a Theory of Interaction",

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.",

keywords = "adaptation, Cognitive modeling, computational rationality, individual differences, interaction, reinforcement learning",

author = "Antti Oulasvirta and Jokinen, {Jussi P.P.} and Andrew Howes",

note = "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: {\textcopyright} 2022 ACM.; ACM SIGCHI Annual Conference on Human Factors in Computing Systems, ACM CHI ; Conference date: 30-04-2022 Through 05-05-2022",

year = "2022",

month = apr,

day = "29",

doi = "10.1145/3491102.3517739",

language = "English",

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AU - Jokinen, Jussi P.P.

AU - Howes, Andrew

N1 - 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.

PY - 2022/4/29

Y1 - 2022/4/29

N2 - 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.

AB - 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.

KW - adaptation

KW - Cognitive modeling

KW - computational rationality

KW - individual differences

KW - interaction

KW - reinforcement learning

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DO - 10.1145/3491102.3517739

M3 - Conference article in proceedings

AN - SCOPUS:85130532079

BT - ACM SIGCHI annual conference on human factors in computing systems

PB - ACM

T2 - ACM SIGCHI Annual Conference on Human Factors in Computing Systems

Y2 - 30 April 2022 through 5 May 2022

ER -

Computational Rationality as a Theory of Interaction

Abstract

Conference

Keywords

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Human Automata: Simulator-based Methods for Collaborative AI

-: Finnish Center for Artificial Intelligence

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Computational Rationality as a Theory of Interaction

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Human Automata: Simulator-based Methods for Collaborative AI

-: Finnish Center for Artificial Intelligence

Cite this