Exposure to Robotic Virtual Agent Affects Adoption of Intentional Stance

Lorenzo Parenti; Serena Marchesi; Marwen  Belkaid; Agnieszka Wykowska

doi:10.1145/3472307.3484667

Exposure to Robotic Virtual Agent Affects Adoption of Intentional Stance

Lorenzo Parenti, Serena Marchesi, Marwen Belkaid, Agnieszka Wykowska

Department of Computer Science

Fondazione Istituto Italiano di Tecnologia

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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Abstract

Understanding how and when humans attribute intentionality to artificial agents is a key issue in contemporary human and technological sciences. This paper addresses the question of whether adopting intentional stance can be modulated by exposure to a 3D animated robot character, and whether this depends on the human-likeness of the character's behavior. We report three experiments investigating how appearance and behavioral features of a virtual character affect humans’ attribution of intentionality toward artificial social agents. The results show that adoption of intentional stance can be modulated depending on participants' expectations about the agent. This study brings attention to specific features of virtual agents and insights for further work in the field of virtual interaction.

Original language	English
Title of host publication	HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction
Pages	348-353
Number of pages	6
ISBN (Electronic)	9781450386203
DOIs	https://doi.org/10.1145/3472307.3484667
Publication status	Published - 9 Nov 2021

Keywords

Appearance
Human-likeness
Intentional stance
Virtual agent

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10.1145/3472307.3484667

acm_manuscript_preprintAccepted author manuscript, 300 KB

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title = "Exposure to Robotic Virtual Agent Affects Adoption of Intentional Stance",

abstract = "Understanding how and when humans attribute intentionality to artificial agents is a key issue in contemporary human and technological sciences. This paper addresses the question of whether adopting intentional stance can be modulated by exposure to a 3D animated robot character, and whether this depends on the human-likeness of the character's behavior. We report three experiments investigating how appearance and behavioral features of a virtual character affect humans{\textquoteright} attribution of intentionality toward artificial social agents. The results show that adoption of intentional stance can be modulated depending on participants' expectations about the agent. This study brings attention to specific features of virtual agents and insights for further work in the field of virtual interaction.",

keywords = "Appearance, Human-likeness, Intentional stance, Virtual agent",

author = "Lorenzo Parenti and Serena Marchesi and Marwen Belkaid and Agnieszka Wykowska",

note = "Funding Information: This work has received support from the European Research Council under the European Union{\textquoteright}s Horizon 2020 research and innovation program, ERC Starting grant, G.A. number: ERC2016-StG-715058, awarded to Agnieszka Wykowska. The content of this paper is the sole responsibility of the authors. The European Commission or its services cannot be held responsible for any use that may be made of the information it contains. Publisher Copyright: {\textcopyright} 2021 Owner/Author.",

year = "2021",

month = nov,

day = "9",

doi = "10.1145/3472307.3484667",

language = "English",

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pages = "348--353",

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AU - Parenti, Lorenzo

AU - Marchesi, Serena

AU - Belkaid, Marwen

AU - Wykowska, Agnieszka

N1 - Funding Information: This work has received support from the European Research Council under the European Union’s Horizon 2020 research and innovation program, ERC Starting grant, G.A. number: ERC2016-StG-715058, awarded to Agnieszka Wykowska. The content of this paper is the sole responsibility of the authors. The European Commission or its services cannot be held responsible for any use that may be made of the information it contains. Publisher Copyright: © 2021 Owner/Author.

PY - 2021/11/9

Y1 - 2021/11/9

N2 - Understanding how and when humans attribute intentionality to artificial agents is a key issue in contemporary human and technological sciences. This paper addresses the question of whether adopting intentional stance can be modulated by exposure to a 3D animated robot character, and whether this depends on the human-likeness of the character's behavior. We report three experiments investigating how appearance and behavioral features of a virtual character affect humans’ attribution of intentionality toward artificial social agents. The results show that adoption of intentional stance can be modulated depending on participants' expectations about the agent. This study brings attention to specific features of virtual agents and insights for further work in the field of virtual interaction.

AB - Understanding how and when humans attribute intentionality to artificial agents is a key issue in contemporary human and technological sciences. This paper addresses the question of whether adopting intentional stance can be modulated by exposure to a 3D animated robot character, and whether this depends on the human-likeness of the character's behavior. We report three experiments investigating how appearance and behavioral features of a virtual character affect humans’ attribution of intentionality toward artificial social agents. The results show that adoption of intentional stance can be modulated depending on participants' expectations about the agent. This study brings attention to specific features of virtual agents and insights for further work in the field of virtual interaction.

KW - Appearance

KW - Human-likeness

KW - Intentional stance

KW - Virtual agent

U2 - 10.1145/3472307.3484667

DO - 10.1145/3472307.3484667

M3 - Conference contribution

SN - 9781450386203

SP - 348

EP - 353

BT - HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction

ER -

Exposure to Robotic Virtual Agent Affects Adoption of Intentional Stance

Abstract

Keywords

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