Effect of Explicit Emotional Adaptation on Prosocial Behavior of Humans towards Robots depends on Prior Robot Experience

Kühnlenz, Barbara; Kühnlenz, Kolja; Busse, Fabian; Fortsch, Pascal; Wolf, Maximilian

doi:10.1109/roman.2018.8525515

Cited by 12 publications

(6 citation statements)

References 30 publications

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“…In other words, individuals who have been recently pleased by the robot may feel the urge of behaving nicely with it or, at least, abstaining from revealing a loss of confidence in the robot’s abilities, as commonly observed in human-human cooperative settings ( Bartlett and DeSteno, 2006 ; Berns et al., 2010 ). Our findings are consistent with recent evidence revealing the emergence of pro-social attitudes toward robots in adults ( Connolly et al., 2020 ; Kahn et al., 2015 ; Kühnlenz et al., 2018 ; Siegel et al., 2009 ) and children ( Beran et al., 2011 ; Chernyak and Gary, 2016 ; Martin et al., 2020 ; Zaga et al., 2017 ). Moreover, they can provide a pro-social interpretation of recent results revealing over-trust with the instructions of faulty or unreliable robots ( Aroyo et al., 2018 , 2021 ; Robinette et al., 2016 ; Salem et al., 2015 ).…”

Section: Discussionsupporting

confidence: 93%

“…On the other hand, this experimental choice implies caution in the generalization of our findings to other types of (physical) HRI. Extensive research in HRI (e.g., Connolly et al., 2020 ; Kahn et al., 2015 ; Kühnlenz et al., 2018 ; Terzioğlu et al., 2020 ) has shown that the physical presence of a (social) robot with human-like behavior may trigger emotional and empathic reactions in human participants. We hypothesize that, in the presence of specific physical, motor, or verbal cues coming from a robot, the effects of reciprocity observed in the current work might be either amplified or reduced following pro-social or anti-social signals.…”

Section: Discussionmentioning

confidence: 99%

“…The assumption is that robots appearing and behaving like humans might trigger the same types of emotional and behavioral reactions that are typically observed in HHI. In fact, recent evidence has shown the emergence of pro-social attitudes toward social robots (e.g., Connolly et al., 2020 ; Kahn et al., 2015 ; Kühnlenz et al., 2018 ; Siegel et al., 2009 ), which can enhance human-robot collaboration (e.g., Admoni and Scassellati, 2017 ; Baraglia et al., 2017 ; Oliveira et al., 2021 ; Terzioğlu et al., 2020 ). However, evidence of human-like relational mechanisms modulating HRI is rather limited and context dependent.…”

Section: Introductionmentioning

confidence: 99%

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The role of reciprocity in human-robot social influence

2021

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Summary Humans are constantly influenced by others’ behavior and opinions. Of importance, social influence among humans is shaped by reciprocity: we follow more the advice of someone who has been taking into consideration our opinions. In the current work, we investigate whether reciprocal social influence can emerge while interacting with a social humanoid robot. In a joint task, a human participant and a humanoid robot made perceptual estimates and then could overtly modify them after observing the partner’s judgment. Results show that endowing the robot with the ability to express and modulate its own level of susceptibility to the human’s judgments represented a double-edged sword. On the one hand, participants lost confidence in the robot’s competence when the robot was following their advice; on the other hand, participants were unwilling to disclose their lack of confidence to the susceptible robot, suggesting the emergence of reciprocal mechanisms of social influence supporting human-robot collaboration.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The role of reciprocity in human-robot social influence

2021

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“…Participation was contingent on (a) having completed >50 surveys with a minimal HIT approval rate of 98% or greater, (b) being located in either the USA, UK, Canada, Ireland, Australia, or New Zealand, and (c) having no experience with robotics and/or any expertise in AI (e.g., data science and machine learning). It should be noted here, that both technical expertise and experience with robotics, have been found consistently to predict favorable responses toward, and acceptance of, social robots [e.g., 23,65,26,63,107,62,96]. Thus, it seemed reasonable to exclude such individuals as they may have obscured our findings.…”

Section: Recruitmentmentioning

confidence: 79%

Better than Us: The Role of Implicit Self-Theories in Determining Perceived Threat Responses in HRI

Allan

Vonasch

Bartneck

2022

2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

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Robots that are capable of outperforming human beings on mental and physical tasks provoke perceptions of threat. In this article we propose that implicit self-theory (core beliefs about the malleability of self-attributes, such as intelligence) is a determinant of whether one person experiences threat perception to a greater degree than another. We test for this possibility in a novel experiment in which participants watched a video of an apparently autonomous intelligent robot defeating human quiz players in a general knowledge game. Following the video, participants received either social comparison feedback, improvement-oriented feedback, or no feedback, and were then given the opportunity to play against the robot. We show that those who adopt a malleable self-theory (incremental theorists) are more likely to play against a robot after imagining losing to it, as well as exhibit more favorable responses and less identity threats than entity theorists (those adopting a fixed self-theory). Moreover, entity theorists (vs. incremental theorists) perceive autonomous intelligent robots to be significantly more threatening (both in terms of realistic and identity threats). These findings offer novel theoretical and practical implications, in addition to enriching the HRI literature by demonstrating that implicit selftheory is, in fact, an influential variable underpinning perceived threat.

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“…There have been numerous studies in Human-Robot interaction that show that introducing a "humane" dimension in robots (i.e., reasoning, strategizing, expressing sadness), can cause the robot to be perceived as human-like, and is thus beneficial for interaction by successfully inducing prosocial behavior (Connolly et al, 2020) and promoting collaboration (Strohkorb and Scassellati, 2016;Sandini and Sciutti, 2018). Consistent with this approach, much evidence has demonstrated the growth of pro-social views toward social robots (Siegel et al, 2009;Kahn et al, 2015;Kühnlenz et al, 2018;Connolly et al, 2020) and advancements in human-robot collaboration (Admoni and Scassellati, 2017;Baraglia et al, 2017;Terzioglu et al, 2020;Oliveira et al, 2021).…”

Section: Robotmentioning

confidence: 96%

Assessing the effect of dialogue on altruism toward future generations: A preliminary study

Maalouly

Yamazaki

Nishio

et al. 2023

Front. Comput. Sci.

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IntroductionDespite the abundance of evidence on climate change and its consequences on future generations, people, in general, are still reluctant to change their actions and behaviors toward the environment that would particularly benefit posterity. In this study, we took a preliminary step in a new research direction to explore humans' altruistic behavior toward future generations of people and whether it can be affected by dialogue.MethodsWe used an android robot called Telenoid as a representative of future generations by explaining that the robot is controlled by an Artificial Intelligence (AI) living in a simulation of our world in the future. To measure people's altruistic behavior toward it, we asked the participants to play a round of the Dictator Game with the Telenoid before having an interactive conversation with the Telenoid and then playing another round.ResultsOn average, participants gave more money to the Telenoid in the second round (after having an interactive conversation). The average amount of money increased from 20% in the first to about 30% in the second round.DiscussionThe results indicate that the conversation with the robot might have been responsible for the change in altruistic behavior toward the Telenoid. Contrary to our expectations, the personality of the participants did not appear to have an influence on their change of behavior, but other factors might have contributed. We finally discuss the influence of other possible factors such as empathy and the appearance of the robot. However, the preliminary nature of this study should deter us from making any definitive conclusions, but the results are promising for establishing the ground for future experiments.

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Effect of Explicit Emotional Adaptation on Prosocial Behavior of Humans towards Robots depends on Prior Robot Experience

Cited by 12 publications

References 30 publications

The role of reciprocity in human-robot social influence

The role of reciprocity in human-robot social influence

Better than Us: The Role of Implicit Self-Theories in Determining Perceived Threat Responses in HRI

Assessing the effect of dialogue on altruism toward future generations: A preliminary study

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