dc.contributor.author | Trendafilov, Dari | |
dc.contributor.author | Polani, Daniel | |
dc.date.accessioned | 2019-12-19T01:01:37Z | |
dc.date.available | 2019-12-19T01:01:37Z | |
dc.date.issued | 2019-05-02 | |
dc.identifier.citation | Trendafilov , D & Polani , D 2019 , Information-theoretic Sensorimotor Foundations of Fitts' Law . in CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems . , LBW2516 , Conference on Human Factors in Computing Systems - Proceedings , ACM Press , 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 , Glasgow , United Kingdom , 4/05/19 . https://doi.org/10.1145/3290607.3313053 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 9781450359719 | |
dc.identifier.other | ORCID: /0000-0002-3233-5847/work/86098166 | |
dc.identifier.uri | http://hdl.handle.net/2299/22017 | |
dc.description | © 2019 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published is accessible via https://doi.org/10.1145/3290607.3313053 | |
dc.description.abstract | We propose a novel, biologically plausible cost/fitness function for sensorimotor control, formalized with the information-theoretic principle of empowerment, a task-independent universal utility. Empowerment captures uncertainty in the perception-action loop of different nature (e.g. noise, delays, etc.) in a single quantity. We present the formalism in a Fitts' law type goal-directed arm movement task and suggest that empowerment is one potential underlying determinant of movement trajectory planning in the presence of signal-dependent sensorimotor noise. Simulation results demonstrate the temporal relation of empowerment and various plausible control strategies for this specific task. | en |
dc.format.extent | 897667 | |
dc.language.iso | eng | |
dc.publisher | ACM Press | |
dc.relation.ispartof | CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems | |
dc.relation.ispartofseries | Conference on Human Factors in Computing Systems - Proceedings | |
dc.subject | Fitts' law | |
dc.subject | Information theory | |
dc.subject | Sensorimotor control | |
dc.subject | Uncertainty | |
dc.subject | Human-Computer Interaction | |
dc.subject | Computer Graphics and Computer-Aided Design | |
dc.subject | Software | |
dc.title | Information-theoretic Sensorimotor Foundations of Fitts' Law | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85067278394&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.1145/3290607.3313053 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |