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      Intentions with actions: The role of intentionality attribution on the vicarious sense of agency in Human–Robot interaction

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          Abstract

          Sense of Agency (SoA) is the feeling of control over one’s actions and their consequences. In social contexts, people experience a “vicarious” SoA over other humans’ actions; however, the phenomenon disappears when the other agent is a computer. This study aimed to investigate the factors that determine when humans experience vicarious SoA in Human–Robot Interaction (HRI). To this end, in two experiments, we disentangled two potential contributing factors: (1) the possibility of representing the robot’s actions and (2) the adoption of Intentional Stance towards robots. Participants performed an Intentional Binding (IB) task reporting the time of occurrence for self- or robot-generated actions or sensory outcomes. To assess the role of action representation, the robot either performed a physical keypress (Experiment 1) or “acted” by sending a command via Bluetooth (Experiment 2). Before the experiment, attribution of intentionality to the robot was assessed. Results showed that when participants judged the occurrence of the action, vicarious SoA was predicted by the degree of attributed intentionality, but only when the robot’s action was physical. Conversely, digital actions elicited the reversed effect of vicarious IB, suggesting that disembodied actions of robots are perceived as non-intentional. When participants judged the occurrence of the sensory outcome, vicarious SoA emerged only when the causing action was physical. Notably, intentionality attribution predicted vicarious SoA for sensory outcomes independently of the nature of the causing event, physical or digital. In conclusion, both intentionality attribution and action representation play a crucial role for vicarious SoA in HRI.

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          Most cited references42

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            lmerTest Package: Tests in Linear Mixed Effects Models

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              On seeing human: a three-factor theory of anthropomorphism.

              Anthropomorphism describes the tendency to imbue the real or imagined behavior of nonhuman agents with humanlike characteristics, motivations, intentions, or emotions. Although surprisingly common, anthropomorphism is not invariant. This article describes a theory to explain when people are likely to anthropomorphize and when they are not, focused on three psychological determinants--the accessibility and applicability of anthropocentric knowledge (elicited agent knowledge), the motivation to explain and understand the behavior of other agents (effectance motivation), and the desire for social contact and affiliation (sociality motivation). This theory predicts that people are more likely to anthropomorphize when anthropocentric knowledge is accessible and applicable, when motivated to be effective social agents, and when lacking a sense of social connection to other humans. These factors help to explain why anthropomorphism is so variable; organize diverse research; and offer testable predictions about dispositional, situational, developmental, and cultural influences on anthropomorphism. Discussion addresses extensions of this theory into the specific psychological processes underlying anthropomorphism, applications of this theory into robotics and human-computer interaction, and the insights offered by this theory into the inverse process of dehumanization. PsycINFO Database Record (c) 2007 APA, all rights reserved.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Quarterly Journal of Experimental Psychology
                Quarterly Journal of Experimental Psychology
                SAGE Publications
                1747-0218
                1747-0226
                April 2022
                September 02 2021
                April 2022
                : 75
                : 4
                : 616-632
                Affiliations
                [1 ]Social Cognition in Human-Robot Interaction Unit, Center for Human Technologies, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy
                [2 ]Dipartimento di Informatica, Bioingegneria, Robotica ed Ingegneria dei Sistemi (DIBRIS), Genoa, Italy
                Article
                10.1177/17470218211042003
                6bb7452d-4658-4f82-8f65-f756ff9dc550
                © 2022

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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