Altercentrism in perspective-taking: The role of humanisation in embodying the agent’s point of view

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Názov: Altercentrism in perspective-taking: The role of humanisation in embodying the agent’s point of view
Autori: Conson, Massimiliano, Zappullo, Isa, Cordasco, Gennaro, Trojano, Luigi, Raimo, Gennaro, Cecere, Roberta, Baiano, Chiara, Lauro, Anna, Esposito, Anna
Zdroj: Quarterly Journal of Experimental Psychology. 78:1041-1060
Informácie o vydavateľovi: SAGE Publications, 2024.
Rok vydania: 2024
Predmety: Male, Adult, Altercentrism, action observation, embodied cognition, human–robot interaction, interindividual differences, social cognition, Theory of Mind, Life Sciences, Robotics, Social and Behavioral Sciences, Young Adult, Social Perception, Humanism, Visual Perception, Humans, Female, Cues, Photic Stimulation
Popis: We investigated the role of humanisation in Visual Perspective-Taking (VPT) by testing whether and how agent’s human-likeness and attractiveness (“hedonic quality”) interact with social cues (action and eye gaze) in influencing the participants’ disposition to embody another’s perspective. In a VPT task, participants viewed scenes displaying an actor (human or robotic) grasping, gazing (or both) a target object, or adopting a still posture, and were required to judge the left/right location of the target, without receiving any instruction on the perspective to be assumed. Across two studies, we selected human and robotic agents to use as actors in the VPT task. Results consistently demonstrated that participants could be effectively clustered by a data-driven method into two perspective-taking styles, depending on the presence of a systematic tendency to locate the target object in the VPT scenarios from own (egocentric) or the actor’s (altercentric) point of view. The human versus nonhuman nature of the agent seemed able to affect the participants’ egocentric or altercentric tendency whereas both the agent’s hedonic quality and social cues were not able to influence this propensity. Identifying the factors influencing altercentrism during human–robot interactions can be essential for developing artificial agents favouring user’s acceptance and willingness to interact. In this respect, considering differences among individuals in their propensity to take another’s point of view may be of central importance. Clustering approaches can represent a useful means to capture interindividual differences in this central aspect of human social cognition.
Druh dokumentu: Article
Other literature type
Jazyk: English
ISSN: 1747-0226
1747-0218
DOI: 10.1177/17470218241300252
DOI: 10.17605/osf.io/qa3me
Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39502001
https://hdl.handle.net/11386/4906406
https://doi.org/10.1177/17470218241300252
https://hdl.handle.net/11591/547405
https://doi.org/10.1177/17470218241300252
Rights: CC BY
URL: https://journals.sagepub.com/page/policies/text-and-data-mining-license
Prístupové číslo: edsair.doi.dedup.....21d04918fd46dadc1c5f8013116ae2e7
Databáza: OpenAIRE
Popis
Abstrakt:We investigated the role of humanisation in Visual Perspective-Taking (VPT) by testing whether and how agent’s human-likeness and attractiveness (“hedonic quality”) interact with social cues (action and eye gaze) in influencing the participants’ disposition to embody another’s perspective. In a VPT task, participants viewed scenes displaying an actor (human or robotic) grasping, gazing (or both) a target object, or adopting a still posture, and were required to judge the left/right location of the target, without receiving any instruction on the perspective to be assumed. Across two studies, we selected human and robotic agents to use as actors in the VPT task. Results consistently demonstrated that participants could be effectively clustered by a data-driven method into two perspective-taking styles, depending on the presence of a systematic tendency to locate the target object in the VPT scenarios from own (egocentric) or the actor’s (altercentric) point of view. The human versus nonhuman nature of the agent seemed able to affect the participants’ egocentric or altercentric tendency whereas both the agent’s hedonic quality and social cues were not able to influence this propensity. Identifying the factors influencing altercentrism during human–robot interactions can be essential for developing artificial agents favouring user’s acceptance and willingness to interact. In this respect, considering differences among individuals in their propensity to take another’s point of view may be of central importance. Clustering approaches can represent a useful means to capture interindividual differences in this central aspect of human social cognition.
ISSN:17470226
17470218
DOI:10.1177/17470218241300252