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I Know Your Next Mo...
I Know Your Next Move : Action Decisions in Dyadic Pick and Place Tasks
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- Babajanyan, Diana (author)
- School of Psychological Sciences, Macquarie University, Sydney, 2109, NSW, Australia
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- Patil, Gaurav (author)
- School of Psychological Sciences, Centre for Elite, Performance, Expertise and Training, Macquarie University, Sydney, 2109, NSW, Australia
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- Lamb, Maurice (author)
- Högskolan i Skövde,Institutionen för informationsteknologi,Forskningsmiljön Informationsteknologi,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Interaction Lab (iLab)
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- Kallen, Rachel W. (author)
- School of Psychological Sciences, Centre for Elite, Performance, Expertise and Training, Macquarie University, Sydney, 2109, NSW, Australia
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- Richardson, Michael J. (author)
- School of Psychological Sciences, Centre for Elite, Performance, Expertise and Training, Macquarie University, Sydney, 2109, NSW, Australia
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(creator_code:org_t)
- Cognitive Science Society, Inc. 2022
- 2022
- English.
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In: Proceedings of the 44th Annual Conference of the Cognitive Science Society. - : Cognitive Science Society, Inc.. ; , s. 563-570
- Related links:
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https://escholarship...
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https://his.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Subject headings
Close
- Joint pick and place tasks occur in many interpersonal scenarios, such as when two people pick up and pass dishes. Previous studies have demonstrated that low-dimensional models can accurately capture the dynamics of pick and place motor behaviors in a controlled 2D environment. The current study models the dynamics of pick-up and pass decisions within a less restrictive virtual reality mediated 3D joint pick and place task. Findings indicate that reach-normalized distance measures, between participants and objects/targets, could accurately predict pick-up and pass decisions. Findings also reveal that participants took longer to pick-up objects where division of labor boundaries were less obvious and tended to pass in locations maximizing the dyad's efficiency. This study supports the notion that individuals are more likely to engage in interpersonal behavior when a task goal is perceived as difficult or unattainable (i.e., not afforded). Implications of findings for human-artificial agent interactions are discussed.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)
Keyword
- Behavioral research
- Virtual reality
- 'current
- Affordances
- Creative Commons
- Decisions makings
- Distance measure
- Joint actions
- Low-dimensional models
- Motor behaviours
- Pick and place
- Pick and place task
- Decision making
- joint action
- pick and place tasks
- Interaction Lab (ILAB)
- Interaction Lab (ILAB)
Publication and Content Type
- ref (subject category)
- kon (subject category)
To the university's database