How Robots Influence Humans: A Survey of Nonverbal Communication in Social Human–Robot Interaction

Saunderson, Shane; Nejat, Goldie

doi:10.1007/s12369-019-00523-0

Cited by 214 publications

(104 citation statements)

References 165 publications

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“…This may be because positive social touch was soothing to the participant or positive social touch had tangible feedback effects on both TD and TR. Physical contact has been indicated as a significant factor in human users' ratings of the quality of interaction with robots [60] and for the most part, people are comfortable sharing their physical space with robots and will often approach them at a closer physical distance than living beings [61]. Positive social touch may have also have functioned as a "fallback" option when the participants did not know how interact with the TR.…”

Section: Discussionmentioning

confidence: 99%

Children’s Evaluations of a Therapy Dog and Biomimetic Robot: Influences of Animistic Beliefs and Social Interaction

Barber

Somogyi

McBride

et al. 2020

Int J of Soc Robotics

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Social robots are being used increasingly across a range of settings, including in the context of therapeutic interactions with children. While research has shown that interaction with live therapy dogs can be calming and enjoyable for children, it is currently unclear whether social robots can produce similar outcomes. In this study, 11–12-year old children completed a questionnaire about their biophilic beliefs and attitudes to dogs and robots before engaging in two separate free-play, non-goal directed, non-therapeutic sessions with an interactive biomimetic MiRo-E robot and a living therapy dog in a controlled setting. Behavioural observations of social interaction, initiation and reaction behaviours by the child and dog/robot showed that participants spent a similar amount of time engaging in positive social touch with the robot and the dog, but overall more time interacting with the robot. This may be because the robot was more responsive to the children’s initiation behaviours. In self-report, participants significantly preferred the session with the living dog. However, overall enjoyment was high and more positive emotions were reported following interaction with the robot. The more participants attributed mental attributes and animacy to the dog/robot, the more they enjoyed the interactions, demonstrating that participants’ animistic beliefs were an important factor in their evaluations. Levels of social interaction did not correlate with enjoyment, suggesting that the nature of the interaction was less important than pre-existing participant attitudes in producing reported positive outcomes. Although there were some differences in behaviour and evaluations, these preliminary results suggest that MiRo-E provides a useful comparison to therapy dogs and may be a suitable alternative for use in interventions with children.

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Section: Discussionmentioning

confidence: 99%

Children’s Evaluations of a Therapy Dog and Biomimetic Robot: Influences of Animistic Beliefs and Social Interaction

Barber

Somogyi

McBride

et al. 2020

Int J of Soc Robotics

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show abstract

“…Proxemics is also an active research area in human-robot interaction (HRI), as shown in the review proposed by Rios-Martinez et al [65] which focuses on social cues, signals and proxemics for robot navigation. A recent review on nonverbal communication for human-robot interaction was proposed in [69].…”

Section: Proxemics In Human-robot Interactionsmentioning

confidence: 99%

Space Invaders: Pedestrian Proxemic Utility Functions and Trust Zones for Autonomous Vehicle Interactions

Camara

Fox

2020

Int J of Soc Robotics

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Understanding pedestrian proxemic utility and trust will help autonomous vehicles to plan and control interactions with pedestrians more safely and efficiently. When pedestrians cross the road in front of human-driven vehicles, the two agents use knowledge of each other’s preferences to negotiate and to determine who will yield to the other. Autonomous vehicles will require similar understandings, but previous work has shown a need for them to be provided in the form of continuous proxemic utility functions, which are not available from previous proxemics studies based on Hall’s discrete zones. To fill this gap, a new Bayesian method to infer continuous pedestrian proxemic utility functions is proposed, and related to a new definition of ‘physical trust requirement’ (PTR) for road-crossing scenarios. The method is validated on simulation data then its parameters are inferred empirically from two public datasets. Results show that pedestrian proxemic utility is best described by a hyperbolic function, and that trust by the pedestrian is required in a discrete ‘trust zone’ which emerges naturally from simple physics. The PTR concept is then shown to be capable of generating and explaining the empirically observed zone sizes of Hall’s discrete theory of proxemics.

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“…当我们在对机器人进行人类知觉时, 大多数情况下我们在进行拟人化过程 [20] . [127] 判断其年龄、性别甚至其种族 [128] , 同时还会将适用于人类的社会规则赋予机器人, 如性别角色 [42,129,130] 、种族偏见 [100] 等. 这些反应不仅体现在成人身上, 在儿童身上也已有体现 [53] , 在识别拟人化机器人时, 类似人类面孔识别的面孔倒置效应都同样会出现 [131] .…”

Section: 拟人化是机器人接受度的核心unclassified

Factors that influence robot acceptance

Xu¹,

Ye²

2019

Chin. Sci. Bull.

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How Robots Influence Humans: A Survey of Nonverbal Communication in Social Human–Robot Interaction

Cited by 214 publications

References 165 publications

Children’s Evaluations of a Therapy Dog and Biomimetic Robot: Influences of Animistic Beliefs and Social Interaction

Children’s Evaluations of a Therapy Dog and Biomimetic Robot: Influences of Animistic Beliefs and Social Interaction

Space Invaders: Pedestrian Proxemic Utility Functions and Trust Zones for Autonomous Vehicle Interactions

Factors that influence robot acceptance

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