Shaping Robot Gestures to Shape Users' Perception

Deshmukh, Amol; Craenen, Bart; Vinciarelli, Alessandro; Foster, Mary Ellen

doi:10.1145/3284432.3284445

Cited by 16 publications

(6 citation statements)

References 45 publications

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“…Thus the degree to which a robot moves does not necessarily influence the likeability of the robot, as this is a personal preference that can vary across participants. Consistent with previous research (Deshmukh et al, 2018), there are no perceived differences in intelligence either.…”

Section: Impact Of Non-verbal Communication On the Perception Of The Robotsupporting

confidence: 91%

An Immersive Investment Game to Study Human-Robot Trust

et al. 2021

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As robots become more advanced and capable, developing trust is an important factor of human-robot interaction and cooperation. However, as multiple environmental and social factors can influence trust, it is important to develop more elaborate scenarios and methods to measure human-robot trust. A widely used measurement of trust in social science is the investment game. In this study, we propose a scaled-up, immersive, science fiction Human-Robot Interaction (HRI) scenario for intrinsic motivation on human-robot collaboration, built upon the investment game and aimed at adapting the investment game for human-robot trust. For this purpose, we utilize two Neuro-Inspired COmpanion (NICO) - robots and a projected scenery. We investigate the applicability of our space mission experiment design to measure trust and the impact of non-verbal communication. We observe a correlation of 0.43 (p=0.02) between self-assessed trust and trust measured from the game, and a positive impact of non-verbal communication on trust (p=0.0008) and robot perception for anthropomorphism (p=0.007) and animacy (p=0.00002). We conclude that our scenario is an appropriate method to measure trust in human-robot interaction and also to study how non-verbal communication influences a human’s trust in robots.

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Section: Impact Of Non-verbal Communication On the Perception Of The Robotsupporting

confidence: 91%

An Immersive Investment Game to Study Human-Robot Trust

et al. 2021

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show abstract

“…Thus the degree to which a robot moves does not necessarily influence the likeability of the robot, as this is a personal preference that can vary across participants. Consistent with previous research [12], there are no perceived differences in intelligence either.…”

Section: Impact Of Non-verbal Communication (Nvc) On the Perception Osupporting

confidence: 91%

Exploring Human-Robot Trust Through the Investment Game

Arts

Zörner

Bhatia

et al. 2020

Proceedings of the 8th International Conference on Human-Agent Interaction

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As robots become more advanced and capable, developing trust is an important factor of human-robot interaction and cooperation. However, as multiple environmental and social factors can influence trust, it is important to develop more elaborate scenarios and methods to measure human-robot trust. A widely used measurement of trust in social science is the investment game. In this study, we propose a scaled-up, immersive, science fiction Human-Robot Interaction (HRI) scenario for intrinsic motivation on human-robot collaboration, built upon the investment game and aimed at adapting the investment game for human-robot trust. For this purpose, we utilise two Neuro-Inspired Companion (NICO)-robots and a projected scenery. We investigate the applicability of our space mission experiment design to measure trust and the impact of nonverbal communication. We observe a correlation of 0.43 (p = 0.02) between self-assessed trust and trust measured from the game and a positive impact of non-verbal communication on trust (p = 0.0008) and robot perception for anthropomorphism (p = 0.007) and animacy (p = 0.00002). We conclude that our scenario is an appropriate method to measure trust in human-robot interaction and also to study how non-verbal communication influences a human's trust in robots.

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“…On the other hand, human empathy toward the agent was maintained in the presence of agent expression. Studies by Beck et al [41] and Deshmukh et al [47] have shown that agent expressions (gestures and comments) can enhance understanding from humans, and our study also elicited human empathy toward the agent.…”

Section: B the Influence Of The Task And The Importance Of The Agent'...supporting

confidence: 70%

“…They measured children's perceptions of social presence, engagement, and social support and found that the empathy model developed had a positive impact on the long-term interaction between the child and the robot. Deshmukh et al [47] analyzed the relationship between the way robots gesture and the way those gestures are perceived by human users. In particular, they investigated how changing the amplitude and speed of a gesture affects the Godspeed score given to that gesture.…”

Section: Empathy In Human-agent Interactionmentioning

confidence: 99%

Influence of Anthropomorphic Agent on Human Empathy Through Games

Tsumura

Yamada

2023

IEEE Access

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The social acceptance of AI agents, including intelligent virtual agents and physical robots, is becoming more important for the integration of AI into human society. Although the agents used in human society share various tasks with humans, their cooperation may frequently reduce the task performance. One way to improve the relationship between humans and AI agents is to have humans empathize with the agents. By empathizing, humans feel positively and kindly toward agents, which makes it easier to accept them. In this study, we focus on tasks in which humans and agents have various interactions together, and we investigate the properties of agents that significantly influence human empathy toward the agents. To investigate the effects of task content, difficulty, task completion, and an agent's expression on human empathy, two experiments were conducted. The results of the two experiments showed that human empathy toward the agent was difficult to maintain with only task factors, and that the agent's expression was able to maintain human empathy. In addition, a higher task difficulty reduced the decrease in human empathy, regardless of task content. These results demonstrate that an AI agent's properties play an important role in helping humans accept them.

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Shaping Robot Gestures to Shape Users' Perception

Abstract: There may be differences between this version and the published version. You are advised to consult the publisher's version if you wish to cite from it.

Cited by 16 publications

References 45 publications

An Immersive Investment Game to Study Human-Robot Trust

An Immersive Investment Game to Study Human-Robot Trust

Exploring Human-Robot Trust Through the Investment Game

Influence of Anthropomorphic Agent on Human Empathy Through Games

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