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dc.contributor.authorTrendafilov, Dari
dc.contributor.authorPolani, Daniel
dc.date.accessioned2019-12-19T01:01:37Z
dc.date.available2019-12-19T01:01:37Z
dc.date.issued2019-05-02
dc.identifier.citationTrendafilov , 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 , Association for Computing Machinery , 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.citationconference
dc.identifier.isbn9781450359719
dc.identifier.otherPURE: 17567076
dc.identifier.otherPURE UUID: 21001545-173a-4673-8c4d-38ef6e9d8c82
dc.identifier.otherScopus: 85067278394
dc.identifier.urihttp://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.abstractWe 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.language.isoeng
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
dc.relation.ispartofseriesConference on Human Factors in Computing Systems - Proceedings
dc.subjectFitts' law
dc.subjectInformation theory
dc.subjectSensorimotor control
dc.subjectUncertainty
dc.subjectHuman-Computer Interaction
dc.subjectComputer Graphics and Computer-Aided Design
dc.subjectSoftware
dc.titleInformation-theoretic Sensorimotor Foundations of Fitts' Lawen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85067278394&partnerID=8YFLogxK
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1145/3290607.3313053
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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