Robot's Impression of Appearance and Their Trustworthy and Emotion Richness

Matsui, Tetsuya; Yamada, Seiji

doi:10.1109/roman.2018.8525796

Cited by 13 publications

(5 citation statements)

References 29 publications

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“…Anthropomorphism can be defined as "the degree to which an entity is perceived as human-like" [37, P.34] and has been found to significantly impact humans' trust and trustworthiness in robots [38], [21], [39], [40], [41], [42], [43]. In short, humans tend to trust robots high in anthropomorphism over those low in anthropomorphism.…”

Section: Trustworthiness and Anthropomorphismmentioning

confidence: 99%

Do You Still Trust Me? Human-Robot Trust Repair Strategies

Esterwood

Robert

2021

2021 30th IEEE International Conference on Robot &Amp; Human Interactive Communication (RO-MAN)

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Trust is vital to promoting human and robot collaboration, but like human teammates, robots make mistakes that undermine trust. As a result, a human's perception of his or her robot teammate's trustworthiness can dramatically decrease [1], [2], [3], [4]. Trustworthiness consists of three distinct dimensions: ability (i.e. competency), benevolence (i.e. concern for the trustor) and integrity (i.e. honesty) [5], [6]. Taken together, decreases in trustworthiness decreases trust in the robot [7]. To address this, we conducted a 2 (high vs. low anthropomorphism) x 4 (trust repair strategies) between-subjects experiment. Preliminary results of the first 164 participants (between 19 and 24 per cell) highlight which repair strategies are effective relative to ability, integrity and benevolence and the robot's anthropomorphism. Overall, this paper contributes to the HRI trust repair literature.

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Section: Trustworthiness and Anthropomorphismmentioning

confidence: 99%

Do You Still Trust Me? Human-Robot Trust Repair Strategies

Esterwood

Robert

2021

2021 30th IEEE International Conference on Robot &Amp; Human Interactive Communication (RO-MAN)

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“…The features of the robot (its infant-like shape) may also have influenced the results of the experiment. Matsui and Yamada (2018) contended that the appearance of robots influences people's impressions of and emotions about robots. Future research may include practice experiments with robots of different sizes, shapes, and voices (Chao & Thomaz, 2010;Matsui & Yamada, 2018;Phillips et al, 2017;Nishio et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Matsui and Yamada (2018) contended that the appearance of robots influences people's impressions of and emotions about robots. Future research may include practice experiments with robots of different sizes, shapes, and voices (Chao & Thomaz, 2010;Matsui & Yamada, 2018;Phillips et al, 2017;Nishio et al, 2018). Specifically, what aspects of robots influence the older adults' narratives need to be studied under controlled settings.…”

Section: Discussionmentioning

confidence: 99%

Do robots facilitate life review narratives of older adults? A preliminary study

Ueda¹,

Takahashi²,

Yoshikawa³

et al. 2021

Gerontechnology

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“…The other method is to conveying the agents' ability by the agents' appearance. Many prior studies showed that agents' appearance can express these ability: smoothness of surface 6 , eye 78 , and clothing 9 . The agent's emotional expression and movement are also important factors.…”

Section: Introductionmentioning

confidence: 99%

Associative Games with Virtual Agents: unexpectedness increases willingness to continue dialog

Matsui

2023

Preprint

Self Cite

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In the field of human-agent interaction, increasing agents' trustworthiness, inelligence perceived and users' motivation to continue interacting are important issues.Prior research has attempted to solve this problem by having "agents meet user expectations".In this paper, we attempted to show that, on the contrary, "agents contradicting user expectations" can increase agents' trustworthiness and users' motivation to continue dialogue.In this study, we conducted an experiment using an "association game" task.In this task, participants were given three hints and answered what those hints have in common.The correct answer is then given, along with a fourth hint.In the first condition, the "expected" condition, the correct answer was the one that the majority of participants associate with.In the second condition, the "unexpected" condition, the correct answer is different from the answer that the majority of participants associate with.After this task, participants answered the question about the extent to which they felt the agents' trustworthiness, intelligence and motivation to continue the interaction using a 7-point Likert scale.The experiment was conducted on the web.The results of the experiment showed that agents' trustworthiness and users' motivation to continue the interaction were significantly higher in the "unexpected" condition than in the "expected" condition.This result indicates that "the agent contradicts the user's expectations" can increase the agent's intelligence perceived and the user's motivation to continue the interaction.The results show the effectiveness of a new method in human-agent interaction that has not received much attention.

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Robot's Impression of Appearance and Their Trustworthy and Emotion Richness

Cited by 13 publications

References 29 publications

Do You Still Trust Me? Human-Robot Trust Repair Strategies

Do You Still Trust Me? Human-Robot Trust Repair Strategies

Do robots facilitate life review narratives of older adults? A preliminary study

Associative Games with Virtual Agents: unexpectedness increases willingness to continue dialog

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