Kinematic priming of action predictions
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Kinematic priming of action predictions. / Scaliti, Eugenio; Pullar, Kiri; Borghini, Giulia; Cavallo, Andrea; Panzeri, Stefano; Becchio, Cristina.
In: CURR BIOL, Vol. 33, No. 13, 10.07.2023, p. 2717-2727.e6.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Kinematic priming of action predictions
AU - Scaliti, Eugenio
AU - Pullar, Kiri
AU - Borghini, Giulia
AU - Cavallo, Andrea
AU - Panzeri, Stefano
AU - Becchio, Cristina
N1 - Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.
PY - 2023/7/10
Y1 - 2023/7/10
N2 - The ability to anticipate what others will do next is crucial for navigating social, interactive environments. Here, we develop an experimental and analytical framework to measure the implicit readout of prospective intention information from movement kinematics. Using a primed action categorization task, we first demonstrate implicit access to intention information by establishing a novel form of priming, which we term kinematic priming: subtle differences in movement kinematics prime action prediction. Next, using data collected from the same participants in a forced-choice intention discrimination task 1 h later, we quantify single-trial intention readout-the amount of intention information read by individual perceivers in individual kinematic primes-and assess whether it can be used to predict the amount of kinematic priming. We demonstrate that the amount of kinematic priming, as indexed by both response times (RTs) and initial fixations to a given probe, is directly proportional to the amount of intention information read by the individual perceiver at the single-trial level. These results demonstrate that human perceivers have rapid, implicit access to intention information encoded in movement kinematics and highlight the potential of our approach to reveal the computations that permit the readout of this information with single-subject, single-trial resolution.
AB - The ability to anticipate what others will do next is crucial for navigating social, interactive environments. Here, we develop an experimental and analytical framework to measure the implicit readout of prospective intention information from movement kinematics. Using a primed action categorization task, we first demonstrate implicit access to intention information by establishing a novel form of priming, which we term kinematic priming: subtle differences in movement kinematics prime action prediction. Next, using data collected from the same participants in a forced-choice intention discrimination task 1 h later, we quantify single-trial intention readout-the amount of intention information read by individual perceivers in individual kinematic primes-and assess whether it can be used to predict the amount of kinematic priming. We demonstrate that the amount of kinematic priming, as indexed by both response times (RTs) and initial fixations to a given probe, is directly proportional to the amount of intention information read by the individual perceiver at the single-trial level. These results demonstrate that human perceivers have rapid, implicit access to intention information encoded in movement kinematics and highlight the potential of our approach to reveal the computations that permit the readout of this information with single-subject, single-trial resolution.
U2 - 10.1016/j.cub.2023.05.055
DO - 10.1016/j.cub.2023.05.055
M3 - SCORING: Journal article
C2 - 37339628
VL - 33
SP - 2717-2727.e6
JO - CURR BIOL
JF - CURR BIOL
SN - 0960-9822
IS - 13
ER -