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Quantifying motor task performance by bounded rational decision theory

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Schach2018.pdf (2.529Mb)
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peer-reviewed

Erstveröffentlichung
2018-12-14
Authors
Schach, Sonja
Gottwald, Sebastian
Braun, Daniel A.
Wissenschaftlicher Artikel


Published in
Frontiers in Neuroscience ; 2018 (2018), 12. - Art.-Nr. 932. - ISSN 1662-4548
Link to original publication
https://dx.doi.org/10.3389/fnins.2018.00932
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Institutions
Institut für Neuroinformatik
Document version
published version (publisher's PDF)
Abstract
Expected utility models are often used as a normative baseline for human performance in motor tasks. However, this baseline ignores computational costs that are incurred when searching for the optimal strategy. In contrast, bounded rational decision-theory provides a normative baseline that takes computational effort into account, as it describes optimal behavior of an agent with limited information-processing capacity to change a prior motor strategy (before information-processing) into a posterior strategy (after information-processing). Here, we devised a pointing task where subjects had restricted reaction and movement time. In particular, we manipulated the permissible reaction time as a proxy for the amount of computation allowed for planning the movements. Moreover, we tested three different distributions over the target locations to induce different prior strategies that would influence the amount of required information-processing. We found that movement endpoint precision generally decreases with limited planning time and that non-uniform prior probabilities allow for more precise movements toward high-probability targets. Considering these constraints in a bounded rational decision model, we found that subjects were generally close to bounded optimal. We conclude that bounded rational decision theory may be a promising normative framework to analyze human sensorimotor performance.
EU Project uulm
BRISC / Bounded Rationality in Sensorimotor Coordination / EC / H2020 / 678082
Publication funding
Open-Access-Förderung durch die Universität Ulm
Is supplemented by
https://www.frontiersin.org/articles/10.3389/fnins.2018.00932/full#supplementary-material
http://dx.doi.org/10.18725/OPARU-11865
Subject headings
[GND]: Eingeschränkte Rationalität | Bewegungssteuerung | Optimalitätstheorie | Reaktionszeit
[LCSH]: Human information processing
[Free subject headings]: Bounded rationality | Motor control | Movement planning | Optimality model | Reaction time | Information-processing resources | Computational cost
[DDC subject group]: DDC 004 / Data processing & computer science
License
CC BY 4.0 International
http://creativecommons.org/licenses/by/4.0/

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DOI & citation

Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-11360

Schach, Sonja; Gottwald, Sebastian; Braun, Daniel A. (2019): Quantifying motor task performance by bounded rational decision theory. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-11360
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