I Know Your Next Move: Action Decisions in Dyadic Pick and Place Tasks

I Know Your Next Move : Action Decisions in Dyadic Pick and Place Tasks

Babajanyan, Diana (author): School of Psychological Sciences, Macquarie University, Sydney, 2109, NSW, Australia

Patil, Gaurav (author): School of Psychological Sciences, Centre for Elite, Performance, Expertise and Training, Macquarie University, Sydney, 2109, NSW, Australia

Lamb, Maurice (author): Högskolan i Skövde,Institutionen för informationsteknologi,Forskningsmiljön Informationsteknologi,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Interaction Lab (iLab)

Kallen, Rachel W. (author): School of Psychological Sciences, Centre for Elite, Performance, Expertise and Training, Macquarie University, Sydney, 2109, NSW, Australia

Richardson, Michael J. (author): School of Psychological Sciences, Centre for Elite, Performance, Expertise and Training, Macquarie University, Sydney, 2109, NSW, Australia

(creator_code:org_t)

Cognitive Science Society, Inc. 2022
2022
English.
In: Proceedings of the 44th Annual Conference of the Cognitive Science Society. - : Cognitive Science Society, Inc.. ; , s. 563-570

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Abstract Subject headings

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.

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)

By the author/editor: Babajanyan, Dian ...; Patil, Gaurav; Lamb, Maurice; Kallen, Rachel W ...; Richardson, Mich ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Mechanical Engin ...; and Production Engin ...

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Human Computer I ...

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