1. The kinematics that you do not expect: Integrating prior information and kinematics to understand intentions
- Author
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Marco Soriano, Atesh Koul, Andrea Cavallo, Cristina Becchio, and Barbara Tversky
- Subjects
Adult ,Male ,Linguistics and Language ,Kinematics ,Cognitive Neuroscience ,media_common.quotation_subject ,Experimental and Cognitive Psychology ,Action observation ,Drift diffusion model ,Intention ,Prior expectation ,Language and Linguistics ,Developmental and Educational Psychology ,Models, Psychological ,Motor Activity ,Cognitive neuroscience ,Choice Behavior ,050105 experimental psychology ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Discriminative model ,Perception ,Psychophysics ,Humans ,0501 psychology and cognitive sciences ,Prior information ,media_common ,05 social sciences ,Anticipation, Psychological ,Biomechanical Phenomena ,Female ,Decision threshold ,Psychology ,Psychomotor Performance ,030217 neurology & neurosurgery ,Cognitive psychology - Abstract
Expectations facilitate perception of expected stimuli but may hinder perception of unexpected alternatives. Here, we consider how prior expectations about others’ intentions are integrated with visual kinematics over time in detecting the intention of an observed motor act (grasp-to-pour vs. grasp-to-drink). Using rigorous psychophysics methods, we find that the processes of ascribing intentions to others are well described by drift diffusion models in which evidence from observed movements is accumulated over time until a decision threshold is reached. Testing of competing models revealed that when kinematics contained no discriminative intention information, prior expectations predicted the intention choice of the observer. When kinematics contained intention information, kinematics predicted the intention choice. These findings provide evidence for a diffusion process in which the influence of expectations is modulated by movement informativeness and informative kinematics can override initial expectations.
- Published
- 2019
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