Integrating situational probability and kinematic information when anticipating disguised movements |
| |
| Affiliation: | 1. Department of Psychology and Sports Sciences, Goethe-University Frankfurt, Germany;2. Department for the Psychology of Human Movement and Sport, Institute of Sport Science, Friedrich-Schiller-University Jena, Germany;3. Department of Human Movement Sciences, Amsterdam Movement Sciences and Institute of Brain and Behavior Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands;4. Biomotionlab, Centre for Vision Research and Department of Biology, York University, Ontario, Canada;5. Department of Psychology and Sports Science, Justus-Liebig-University Giessen, Germany;1. Department of Cognitive and Learning Sciences, Michigan Technological University, USA;2. Université Laval, Canada;3. School of Human and Health Sciences, University of Huddersfield, UK;1. Department of Life Sciences, Brunel University London, Uxbridge, UB8 3PH, UK;2. Expert Performance and Skill Acquisition Research Group, Faculty of Sport, Health and Applied Science, St Mary’s University, Twickenham, London, TW1 4SX, UK;3. School of Sport, Exercise and Health Sciences, Loughborough University, Leicestershire, LE11 3TU, UK;4. Department of Health, Kinesiology and Recreation, University of Utah, Salt Lake City, UT, 81442, USA;1. Expert Performance and Skill Acquisition Research Group, School of Sport, Health and Applied Science, St Mary''s University, Twickenham, London, UK;2. Department of Sport and Exercise Science, University of Chichester, Chichester UK;3. Department of Health, Kinesiology and Recreation, College of Health, University of Utah, Salt Lake City, USA;4. Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, UK |
| |
| Abstract: | ObjectivesThe current study sought to examine the relative contributions of kinematic and situational probability information to anticipation using different levels of disguised kinematics. More specifically, it was tested whether the weighting of the informational sources (kinematic vs. probabilistic) shifts relative to the certainty of the available kinematic information.Design and MethodHuman-like avatars were generated performing penalty throws and displayed in a virtual reality environment. The ambiguity of the kinematic information available from the avatars was systematically manipulated using linear morphing between genuine and disguised throws. In a perceptual classification task, trained novice observers (N = 23) were asked to classify as quickly and accurately as possible whether observed throws were either genuine or disguised. In addition, information about the performer’s action preferences was also systematically manipulated by explicitly informing participants about the performer’s AP to disguise their throw (25%, 50%, and 75%).ResultsParticipants’ response behavior showed that observers relied more heavily on the probabilistic information when the kinematics were ambiguous. For the AP 25% condition, observers were more likely to report that ambiguous throws were genuine (p < 0.001), whereas they classified the ambiguous throws as being disguised in the AP 75% condition (p < 0.001).ConclusionFindings suggest that observers rely more strongly on non-kinematic (situational probability) information when the reliability of the observable movement kinematics becomes less certain. |
| |
| Keywords: | Disguise Penalty Bayes Informational weighting Non-kinematic information Situational probability |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
