Human social response toward humanoid robot's head and facial features

Lee, Jun Ki; Breazeal, Cynthia

doi:10.1145/1753846.1754132

Cited by 22 publications

(11 citation statements)

References 7 publications

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“…There have been a few attempts to endow robots with human-like features so that humans will find it easier to trust them. These include matching human likeness (Mathur and Reichling, 2016 ), behavior (Goetz et al, 2003 ), head movement and facial characteristics (gaze and eyelid movements) (Lee and Breazeal, 2010 ), and gestures (Tang et al, 2014 ). An earlier study (Verberne et al, 2015 ) showed that a significant characteristic that influences user trust is the similarity (looks, acts, and thinks) between the user and an artificial agent (Siegel et al, 2009 ).…”

Section: Introductionmentioning

confidence: 99%

Effects of Robot Facial Characteristics and Gender in Persuasive Human-Robot Interaction

et al. 2018

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The growing interest in social robotics makes it relevant to examine the potential of robots as persuasive agents and, more specifically, to examine how robot characteristics influence the way people experience such interactions and comply with the persuasive attempts by robots. The purpose of this research is to identify how the (ostensible) gender and the facial characteristics of a robot influence the extent to which people trust it and the psychological reactance they experience from its persuasive attempts. This paper reports a laboratory study where SociBot TM , a robot capable of displaying different faces and dynamic social cues, delivered persuasive messages to participants while playing a game. In-game choice behavior was logged, and trust and reactance toward the advisor were measured using questionnaires. Results show that a robotic advisor with upturned eyebrows and lips (features that people tend to trust more in humans) is more persuasive, evokes more trust, and less psychological reactance compared to one displaying eyebrows pointing down and lips curled downwards at the edges (facial characteristics typically not trusted in humans). Gender of the robot did not affect trust, but participants experienced higher psychological reactance when interacting with a robot of the opposite gender. Remarkably, mediation analysis showed that liking of the robot fully mediates the influence of facial characteristics on trusting beliefs and psychological reactance. Also, psychological reactance was a strong and reliable predictor of trusting beliefs but not of trusting behavior. These results suggest robots that are intended to influence human behavior should be designed to have facial characteristics we trust in humans and could be personalized to have the same gender as the user. Furthermore, personalization and adaptation techniques designed to make people like the robot more may help ensure they will also trust the robot.

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Section: Introductionmentioning

confidence: 99%

Effects of Robot Facial Characteristics and Gender in Persuasive Human-Robot Interaction

et al. 2018

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“…Additionally, the recovery of social psychology effects using an ECA is an indirect method of evaluation. If an ECA or robot is regarded and treated in human-like ways, then it should be possible to observe phenomena such as social inhibition of return, the social Simon effect (Stenzel et al 2012), chameleon effect (Bailenson and Yee 2005), and effects of non-verbal cues on trust (DeSteno et al 2012; Lee and Brezeal 2010). Experiment 1 investigates the hypothesis that behavioral mimicry increases affinity and liking.…”

Section: Introductionmentioning

confidence: 99%

Mimicry and expressiveness of an ECA in human-agent interaction: familiarity breeds content!

et al. 2016

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BackgroundTwo experiments investigated the effect of features of human behaviour on the quality of interaction with an Embodied Conversational Agent (ECA).MethodsIn Experiment 1, visual prominence cues (head nod, eyebrow raise) of the ECA were manipulated to explore the hypothesis that likeability of an ECA increases as a function of interpersonal mimicry. In the context of an error detection task, the ECA either mimicked or did not mimic a head nod or brow raise that humans produced to give emphasis to a word when correcting the ECA’s vocabulary. In Experiment 2, presence versus absence of facial expressions on comprehension accuracy of two computer-driven ECA monologues was investigated.ResultsIn Experiment 1, evidence for a positive relationship between ECA mimicry and lifelikeness was obtained. However, a mimicking agent did not elicit more human gestures. In Experiment 2, expressiveness was associated with greater comprehension and higher ratings of humour and engagement.ConclusionInfluences from mimicry can be explained by visual and motor simulation, and bidirectional links between similarity and liking. Cue redundancy and minimizing cognitive load are potential explanations for expressiveness aiding comprehension.Electronic supplementary materialThe online version of this article (doi:10.1186/s40469-016-0008-2) contains supplementary material, which is available to authorized users.

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“…A similar effect could be expected with mediator robots because the effect of non-verbal cues of humans exchanged via the robots can be controlled. In addition, expressive behaviors of social robots encourage self-disclosure [32,37], and social behaviors such as greetings, nodding, and blinks are more acceptable for elderly people [22]. When topics are not so intimate for individuals (e.g., everyday experiences or their own positive memories), it is easy for them to disclose regardless of communication media.…”

Section: Hypothesismentioning

confidence: 99%

Personality Traits for a Social Mediator Robot Encouraging Elderly Self-Disclosure on Loss Experiences

Noguchi

Kamide

Tanaka

2020

J. Hum.-Robot Interact.

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To prevent elderly people from being socially isolated, encouraging their self-disclosure takes an important role. We discuss a use case of social robots in which they are deployed as mediators for humans that intermediate remote communication between elderly people and their family members or friends. The goal of this article is to present a design guideline for such social mediator robots based on results obtained from two studies in which a total of 741 elderly people participated. In study 1, we explored topics in dialogues and found that a social mediator robot could well encourage the self-disclosure of the elderly people, particularly in topics of which they usually feel resistance in talking to others (e.g., loss experiences). Thus, we confirmed the feasibility of the social mediator robot. Study 2 pursued the effective personality traits of the social mediator robot. We re-investigated a well-studied research question of matching robot personality to the user. The results provided more detailed knowledge as to similarity-attraction/repulsion than had been reported previously. Finally, design recommendations were discussed by considering the personality traits of the elderly users as well. CCS Concepts: • Computer systems organization → Robotics; • Human-centered computing → Interaction design; User studies;

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Human social response toward humanoid robot's head and facial features

Cited by 22 publications

References 7 publications

Effects of Robot Facial Characteristics and Gender in Persuasive Human-Robot Interaction

Effects of Robot Facial Characteristics and Gender in Persuasive Human-Robot Interaction

Mimicry and expressiveness of an ECA in human-agent interaction: familiarity breeds content!

Personality Traits for a Social Mediator Robot Encouraging Elderly Self-Disclosure on Loss Experiences

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