Limits to human movement planning in tasks with asymmetric gain landscapes

Shih Wei Wu, Julia Trommershäuser, Laurence T. Maloney, Michael S. Landy

Research output: Contribution to journalArticle

Abstract

We studied human movement planning in a task with predefined costs and benefits to movement outcome. Participants pointed rapidly at stimulus configurations consisting of a target region and up to two penalty regions. Hits on the target and penalty regions resulted in monetary gains and losses. In previous studies involving single penalty regions or other symmetric target-penalty configurations, performance was optimal in the sense of maximizing expected gain. In this study, more complex, asymmetric configurations were used in which the two penalty regions carried different penalties. With these configurations, the landscape of expected gain as a function of mean end point (MEP) was spatially asymmetric. Further, the optimal movement plan with these configurations was sometimes counterintuitive (e.g., one should aim slightly inside the lesser penalty region). In one asymmetric condition, four out of six naïve participants' performed suboptimally, indicating that there are limits to human movement planning. Further, the suboptimal performance was inconsistent with a model in which participants misestimate motor variability but otherwise optimally plan their movement.

Original languageEnglish (US)
Pages (from-to)53-63
Number of pages11
JournalJournal of vision
Volume6
Issue number1
DOIs
StatePublished - Jan 23 2006

Fingerprint

Cost-Benefit Analysis

Keywords

  • Movement planning
  • Optimality
  • Statistical control
  • Statistical decision theory
  • Visuomotor control

ASJC Scopus subject areas

  • Ophthalmology

Cite this

Limits to human movement planning in tasks with asymmetric gain landscapes. / Wu, Shih Wei; Trommershäuser, Julia; Maloney, Laurence T.; Landy, Michael S.

In: Journal of vision, Vol. 6, No. 1, 23.01.2006, p. 53-63.

Research output: Contribution to journalArticle

@article{9cf1d757b6c44ca5924ffad08bf7b43e,
title = "Limits to human movement planning in tasks with asymmetric gain landscapes",
abstract = "We studied human movement planning in a task with predefined costs and benefits to movement outcome. Participants pointed rapidly at stimulus configurations consisting of a target region and up to two penalty regions. Hits on the target and penalty regions resulted in monetary gains and losses. In previous studies involving single penalty regions or other symmetric target-penalty configurations, performance was optimal in the sense of maximizing expected gain. In this study, more complex, asymmetric configurations were used in which the two penalty regions carried different penalties. With these configurations, the landscape of expected gain as a function of mean end point (MEP) was spatially asymmetric. Further, the optimal movement plan with these configurations was sometimes counterintuitive (e.g., one should aim slightly inside the lesser penalty region). In one asymmetric condition, four out of six na{\"i}ve participants' performed suboptimally, indicating that there are limits to human movement planning. Further, the suboptimal performance was inconsistent with a model in which participants misestimate motor variability but otherwise optimally plan their movement.",
keywords = "Movement planning, Optimality, Statistical control, Statistical decision theory, Visuomotor control",
author = "Wu, {Shih Wei} and Julia Trommersh{\"a}user and Maloney, {Laurence T.} and Landy, {Michael S.}",
year = "2006",
month = "1",
day = "23",
doi = "10.1167/6.1.5",
language = "English (US)",
volume = "6",
pages = "53--63",
journal = "Journal of vision",
issn = "1534-7362",
number = "1",

}

TY - JOUR

T1 - Limits to human movement planning in tasks with asymmetric gain landscapes

AU - Wu, Shih Wei

AU - Trommershäuser, Julia

AU - Maloney, Laurence T.

AU - Landy, Michael S.

PY - 2006/1/23

Y1 - 2006/1/23

N2 - We studied human movement planning in a task with predefined costs and benefits to movement outcome. Participants pointed rapidly at stimulus configurations consisting of a target region and up to two penalty regions. Hits on the target and penalty regions resulted in monetary gains and losses. In previous studies involving single penalty regions or other symmetric target-penalty configurations, performance was optimal in the sense of maximizing expected gain. In this study, more complex, asymmetric configurations were used in which the two penalty regions carried different penalties. With these configurations, the landscape of expected gain as a function of mean end point (MEP) was spatially asymmetric. Further, the optimal movement plan with these configurations was sometimes counterintuitive (e.g., one should aim slightly inside the lesser penalty region). In one asymmetric condition, four out of six naïve participants' performed suboptimally, indicating that there are limits to human movement planning. Further, the suboptimal performance was inconsistent with a model in which participants misestimate motor variability but otherwise optimally plan their movement.

AB - We studied human movement planning in a task with predefined costs and benefits to movement outcome. Participants pointed rapidly at stimulus configurations consisting of a target region and up to two penalty regions. Hits on the target and penalty regions resulted in monetary gains and losses. In previous studies involving single penalty regions or other symmetric target-penalty configurations, performance was optimal in the sense of maximizing expected gain. In this study, more complex, asymmetric configurations were used in which the two penalty regions carried different penalties. With these configurations, the landscape of expected gain as a function of mean end point (MEP) was spatially asymmetric. Further, the optimal movement plan with these configurations was sometimes counterintuitive (e.g., one should aim slightly inside the lesser penalty region). In one asymmetric condition, four out of six naïve participants' performed suboptimally, indicating that there are limits to human movement planning. Further, the suboptimal performance was inconsistent with a model in which participants misestimate motor variability but otherwise optimally plan their movement.

KW - Movement planning

KW - Optimality

KW - Statistical control

KW - Statistical decision theory

KW - Visuomotor control

UR - http://www.scopus.com/inward/record.url?scp=32144436572&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=32144436572&partnerID=8YFLogxK

U2 - 10.1167/6.1.5

DO - 10.1167/6.1.5

M3 - Article

VL - 6

SP - 53

EP - 63

JO - Journal of vision

JF - Journal of vision

SN - 1534-7362

IS - 1

ER -