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Decoding social decisions from movement kinematics

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Decoding social decisions from movement kinematics. / Turri, Giacomo; Cavallo, Andrea; Romeo, Luca; Pontil, Massimiliano; Sanfey, Alan; Panzeri, Stefano; Becchio, Cristina.

In: ISCIENCE, Vol. 25, No. 12, 105550, 22.12.2022, p. 105550.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Turri, G, Cavallo, A, Romeo, L, Pontil, M, Sanfey, A, Panzeri, S & Becchio, C 2022, 'Decoding social decisions from movement kinematics', ISCIENCE, vol. 25, no. 12, 105550, pp. 105550. https://doi.org/10.1016/j.isci.2022.105550

APA

Turri, G., Cavallo, A., Romeo, L., Pontil, M., Sanfey, A., Panzeri, S., & Becchio, C. (2022). Decoding social decisions from movement kinematics. ISCIENCE, 25(12), 105550. [105550]. https://doi.org/10.1016/j.isci.2022.105550

Vancouver

Turri G, Cavallo A, Romeo L, Pontil M, Sanfey A, Panzeri S et al. Decoding social decisions from movement kinematics. ISCIENCE. 2022 Dec 22;25(12):105550. 105550. https://doi.org/10.1016/j.isci.2022.105550

Bibtex

@article{de6b728760bd42cfb35698593fb0e09f,
title = "Decoding social decisions from movement kinematics",
abstract = "Decisions, including social decisions, are ultimately expressed through actions. However, very little is known about the kinematics of social decisions, and whether movements might reveal important aspects of social decision-making. We addressed this question by developing a motor version of a widely used behavioral economic game - the Ultimatum Game - and using a multivariate kinematic decoding approach to map parameters of social decisions to the single-trial kinematics of individual responders. Using this approach, we demonstrated that movement contains predictive information about both the fairness of a proposed offer and the choice to either accept or reject that offer. This information is expressed in personalized kinematic patterns that are consistent within a given responder, but that varies from one responder to another. These results provide insights into the relationship between decision-making and sensorimotor control, as they suggest that hand kinematics can reveal hidden parameters of complex, social interactive, choice.",
author = "Giacomo Turri and Andrea Cavallo and Luca Romeo and Massimiliano Pontil and Alan Sanfey and Stefano Panzeri and Cristina Becchio",
year = "2022",
month = dec,
day = "22",
doi = "10.1016/j.isci.2022.105550",
language = "English",
volume = "25",
pages = "105550",
journal = "ISCIENCE",
issn = "2589-0042",
publisher = "Elsevier Inc.",
number = "12",

}

RIS

TY - JOUR

T1 - Decoding social decisions from movement kinematics

AU - Turri, Giacomo

AU - Cavallo, Andrea

AU - Romeo, Luca

AU - Pontil, Massimiliano

AU - Sanfey, Alan

AU - Panzeri, Stefano

AU - Becchio, Cristina

PY - 2022/12/22

Y1 - 2022/12/22

N2 - Decisions, including social decisions, are ultimately expressed through actions. However, very little is known about the kinematics of social decisions, and whether movements might reveal important aspects of social decision-making. We addressed this question by developing a motor version of a widely used behavioral economic game - the Ultimatum Game - and using a multivariate kinematic decoding approach to map parameters of social decisions to the single-trial kinematics of individual responders. Using this approach, we demonstrated that movement contains predictive information about both the fairness of a proposed offer and the choice to either accept or reject that offer. This information is expressed in personalized kinematic patterns that are consistent within a given responder, but that varies from one responder to another. These results provide insights into the relationship between decision-making and sensorimotor control, as they suggest that hand kinematics can reveal hidden parameters of complex, social interactive, choice.

AB - Decisions, including social decisions, are ultimately expressed through actions. However, very little is known about the kinematics of social decisions, and whether movements might reveal important aspects of social decision-making. We addressed this question by developing a motor version of a widely used behavioral economic game - the Ultimatum Game - and using a multivariate kinematic decoding approach to map parameters of social decisions to the single-trial kinematics of individual responders. Using this approach, we demonstrated that movement contains predictive information about both the fairness of a proposed offer and the choice to either accept or reject that offer. This information is expressed in personalized kinematic patterns that are consistent within a given responder, but that varies from one responder to another. These results provide insights into the relationship between decision-making and sensorimotor control, as they suggest that hand kinematics can reveal hidden parameters of complex, social interactive, choice.

U2 - 10.1016/j.isci.2022.105550

DO - 10.1016/j.isci.2022.105550

M3 - SCORING: Journal article

VL - 25

SP - 105550

JO - ISCIENCE

JF - ISCIENCE

SN - 2589-0042

IS - 12

M1 - 105550

ER -