scholarly journals Imagine how to behave: the influence of imagined contact on human–robot interaction

2019 ◽  
Vol 374 (1771) ◽  
pp. 20180038 ◽  
Author(s):  
Ricarda Wullenkord ◽  
Friederike Eyssel
Keyword(s):  
Social Behaviour ◽  
Human Robot Interaction ◽  
Social Psychological ◽  
Positive Interaction ◽  
Robot Interaction ◽  
Negative Attitudes ◽  
Intergroup Anxiety ◽  
Positive Effects ◽  
Imagined Contact ◽  
Social Behaviours

Imagined contact (IC), that is, mentally simulating an interaction with an outgroup member, reduces negative attitudes towards outgroup members, increases contact intentions, and reduces intergroup anxiety in human–human intergroup context. Our experiment tested the effectiveness of IC with a robot to improve human–robot interaction (HRI). Social psychological literature suggested that IC provides a behavioural script for an interaction. Hence, an imagined scenario similar to a real contact scenario should be more effective in eliciting the aforementioned positive effects. We therefore examined the effect of similarity between IC with a robot and the following actual HRI on interaction perception, and behaviours towards the robot. High similarity was expected to lead to a more positive perception of HRI and more positive interaction behaviour towards the robot (e.g. more social behaviour). Results showed that perceived HRI quality was evaluated more positively and participants displayed more social behaviour towards the robot when the imagined task resembled the HRI that followed, compared to when it did not resemble the subsequent HRI. When controlling for covariates, the effects on number of social behaviours and perceived interaction quality remained significant, however, there was no effect on the total amount of time spent producing social behaviours. This article is part of the theme issue ‘From social brains to social robots: applying neurocognitive insights to human–robot interaction’.

Noticing Extroversion Effects Attention: How Robot and Participant Personality Affect Gaze Cueing

2018 ◽  
Vol 62 (1) ◽  
pp. 1557-1561
Author(s):  
Ali Momen ◽  
Eva Wiese
Keyword(s):  
Cognitive Performance ◽  
Social Cognitive ◽  
Human Robot Interaction ◽  
Current Paper ◽  
Cognitive Behavior ◽  
Gaze Behavior ◽  
Robot Interaction ◽  
Gaze Cueing ◽  
The Gaze ◽  
Positive Effects

Social robots with expressive gaze have positive effects on human-robot interaction. In particular, research suggests that when robots are programmed to express introverted or extroverted gaze behavior, individuals enjoy interacting more with robots that match their personality. However, how this affects social-cognitive performance during human-robot interactions has not been thoroughly examined yet. In the current paper, we examine whether the perceived match between human and robot personality positively affects the degree to which the robot’s gaze is followed (i.e., gaze cueing, as a proxy for more complex social-cognitive behavior). While social attention has been examined extensively outside of human-robot interaction, recent research shows that a robot’s gaze is attended to in a similar way as a human’s gaze. While our results did not support the hypothesis that gaze cueing would be strongest when the participant’s personality matched the robot’s personality, we did find evidence that participants followed the gaze of introverted robots more strongly than the gaze of extroverted robots. This finding suggests that agent’s displaying extroverted gaze behavior may hurt performance in human-robot interaction.

Survey of Social Touch Interaction Between Humans and Robots

2020 ◽  
Vol 32 (1) ◽  
pp. 128-135
Author(s):  
Masahiro Shiomi ◽  
Hidenobu Sumioka ◽  
Hiroshi Ishiguro ◽  
◽  
Keyword(s):  
Research Topic ◽  
Human Robot Interaction ◽  
Human Interaction ◽  
Robot Interaction ◽  
Positive Effects ◽  
Social Touch ◽  
Touch Interaction

In human-human interaction, social touch provides several merits, from both physical and mental perspectives. The physical existence of robots helps them reproduce human-like social touch, during their interaction with people. Such social touch shows positive effects, similar to those observed in human-human interaction. Therefore, social touch is a growing research topic in the field of human-robot interaction. This survey provides an overview of the work conducted so far on this topic.

scholarly journals Developmental stress and social phenotypes: integrating neuroendocrine, behavioural and evolutionary perspectives

2017 ◽  
Vol 372 (1727) ◽  
pp. 20160242 ◽  
Author(s):  
Karen A. Spencer
Keyword(s):  
Hpa Axis ◽  
Social Behaviour ◽  
Life Stress ◽  
Early Life ◽  
Early Life Stress ◽  
Developmental Stress ◽  
Positive Effects ◽  
Neuroendocrine Axis ◽  
Complex Relationships ◽  
Social Behaviours

The social world is filled with different types of interactions, and social experience interacts with stress on several different levels. Activation of the neuroendocrine axis that regulates the response to stress can have consequences for innumerable behavioural responses, including social decision-making and aspects of sociality, such as gregariousness and aggression. This is especially true for stress experienced during early life, when physiological systems are developing and highly sensitive to perturbation. Stress at this time can have persistent effects on social behaviours into adulthood. One important question remaining is to what extent these effects are adaptive. This paper initially reviews the current literature investigating the complex relationships between the hypothalamic-pituitary-adrenal (HPA) axis and other neuroendocrine systems and several aspects of social behaviour in vertebrates. In addition, the review explores the evidence surrounding the potential for ‘social programming’ via differential development and activation of the HPA axis, providing an insight into the potential for positive effects on fitness following early life stress. Finally, the paper provides a framework from which novel investigations could work to fully understand the adaptive significance of early life effects on social behaviours. This article is part of the themed issue ‘Physiological determinants of social behaviour in animals'.

scholarly journals Noticing Extraversion Effects Attention: How Robot and Participant Personality Affect Social Attention

2018 ◽  
Author(s):  
Ali Momen ◽  
Eva Wiese
Keyword(s):  
Cognitive Performance ◽  
Social Cognitive ◽  
Social Attention ◽  
Human Robot Interaction ◽  
Cognitive Behavior ◽  
Gaze Behavior ◽  
Robot Interaction ◽  
Gaze Cueing ◽  
The Gaze ◽  
Positive Effects

Social robots with expressive gaze have positive effects on human-robot interaction. In particular, research suggests that when robots are programmed to express introverted or extraverted gaze behavior, individuals enjoy interacting more with robots that match their personality. However, how this affects social-cognitive performance during human-robot interactions has not been thoroughly examined yet. In the current paper, we examine whether the perceived match between human and robot personality positively affects the degree to which the robot’s gaze is followed (i.e., gaze cueing, as a proxy for more complex social-cognitive behavior). While social attention has been examined extensively outside of human-robot interaction, recent research shows that a robot’s gaze is attended to in a similar way as a human’s gaze. While our results did not support the hypothesis that gaze cueing would be strongest when the participant’s personality matched the robot’s personality, we did find evidence that participants followed the gaze of introverted robots more strongly than the gaze of extroverted robots. This finding suggests that agent’s displaying extraverted gaze behavior may hurt performance in human-robot interaction

scholarly journals Aerial Flight Paths for Communication

2021 ◽  
Vol 8 ◽  
Author(s):  
Alisha Bevins ◽  
Brittany A. Duncan
Keyword(s):  
Emotional Response ◽  
Lessons Learned ◽  
Human Robot Interaction ◽  
Personality Characteristics ◽  
Field Of View ◽  
Robot Interaction ◽  
Negative Attitudes ◽  
Communication Situations ◽  
Aerial Vehicle ◽  
Communication Modalities

This article presents an understanding of naive users’ perception of the communicative nature of unmanned aerial vehicle (UAV) motions refined through an iterative series of studies. This includes both what people believe the UAV is trying to communicate, and how they expect to respond through physical action or emotional response. Previous work in this area prioritized gestures from participants to the vehicle or augmenting the vehicle with additional communication modalities, rather than communicating without clear definitions of the states attempting to be conveyed. In an attempt to elicit more concrete states and better understand specific motion perception, this work includes multiple iterations of state creation, flight path refinement, and label assignment. The lessons learned in this work will be applicable broadly to those interested in defining flight paths, and within the human-robot interaction community as a whole, as it provides a base for those seeking to communicate using non-anthropomorphic robots. We found that the Negative Attitudes towards Robots Scale (NARS) can be an indicator of how a person is likely to react to a UAV, the emotional content they are likely to perceive from a message being conveyed, and it is an indicator for the personality characteristics they are likely to project upon the UAV. We also see that people commonly associate motions from other non-verbal communication situations onto UAVs. Flight specific recommendations are to use a dynamic retreating motion from a person to encourage following, use a perpendicular motion to their field of view for blocking, simple descending motion for landing, and to use either no motion or large altitude changes to encourage watching. Overall, this research explores the communication from the UAV to the bystander through its motion, to see how people respond physically and emotionally.

scholarly journals Attitude Towards Humanoid Robots and the Uncanny Valley Hypothesis

2019 ◽  
Vol 44 (1) ◽  
pp. 101-119 ◽  
Author(s):  
Paweł Łupkowski ◽  
Marta Gierszewska
Keyword(s):  
Human Nature ◽  
Emotional Response ◽  
Statistical Significance ◽  
Humanoid Robots ◽  
Human Robot Interaction ◽  
Comfort Level ◽  
Uncanny Valley ◽  
Robot Interaction ◽  
Negative Attitudes ◽  
The Uncanny

AbstractThe main aim of the presented study was to check whether the well-established measures concerning the attitude towards humanoid robots are good predictors for the uncanny valley effect. We present a study in which 12 computer rendered humanoid models were presented to our subjects. Their declared comfort level was cross-referenced with the Belief in Human Nature Uniqueness (BHNU) and the Negative Attitudes toward Robots that Display Human Traits (NARHT) scales. Subsequently, there was no evidence of a statistical significance between these scales and the existence of the uncanny valley phenomenon. However, correlations between expected stress level while human-robot interaction and both BHNU, as well as NARHT scales, were found. The study covered also the evaluation of the perceived robots’ characteristic and the emotional response to them.

scholarly journals Analyzing social situations for human–robot interaction

2008 ◽  
Vol 9 (2) ◽  
pp. 277-300 ◽  
Author(s):  
Alan R. Wagner ◽  
Ronald C. Arkin
Keyword(s):  
Psychological Theory ◽  
Human Robot Interaction ◽  
Social Psychological ◽  
Situation Analysis ◽  
Social Situations ◽  
Robot Interaction ◽  
Analysis Algorithm ◽  
Interdependence Theory ◽  
Interactive Behaviors ◽  
Social Psychological Theory

This paper presents an algorithm for analyzing social situations within a robot. We contribute a method that allows the robot to use information about the situation to select interactive behaviors. This work is based on interdependence theory, a social psychological theory of interaction and interpersonal situation analysis. Experiments demonstrate the utility of the information provided by the situation analysis algorithm and of the value of this method for guiding robot interaction. We conclude that the situation analysis algorithm offers a viable, principled, and general approach to explore interactive robotics problems.

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