Toward a Hybrid Society

Ferrari, Francesco; Eyssel, Friederike Anne

doi:10.1007/978-3-319-47437-3_89

Cited by 9 publications

(7 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The integration of robots into research on intergroup relations will become important in the near future (Ferrari & Eyssel, ; Złotowski et al, ). A key challenge for this research area will be how to deal with the paradoxical effects that come with a perception of mind in robots.…”

Section: Human–robot Interaction and Intergroup Relationsmentioning

confidence: 99%

“…At the end of the study, some children viewed Robovie as a member of their ingroup and had interacted with it throughout the study, whereas other children had stopped interacting with Robovie early on and never really accepted its presence. Ferrari and Eyssel () speculated that these findings might be explained by whether the children had engaged in mutual self‐disclosure with the robot, a behavior that has been identified as a key mediator in successful intergroup contact settings (Turner, Hewstone, & Voci, ). Unfortunately, Kanda et al did not investigate that possibility directly in their study with robots, so it is still an open question.…”

Section: Human–robot Interaction and Intergroup Relationsmentioning

confidence: 99%

See 1 more Smart Citation

“Danger, Will Robinson!” The challenges of social robots for intergroup relations

Vanman

Kappas

2019

Social & Personality Psych

View full text Add to dashboard Cite

Society's increasing reliance on robots in everyday life provides exciting opportunities for social psychologists to work with engineers in the nascent field of social robotics. In contrast to industrial robots that, for example, may be used on an assembly line, social robots are designed specifically to interact with humans and/or other robots. People tend to perceive social robots as autonomous and capable of having a mind. As such, they are also more likely to be subject to social categorization by humans. As social robots become more human like, people may also feel greater empathy for them and treat robots more like (human) ingroup members. On the other hand, as they become more human like, robots also challenge our human distinctiveness, threaten our identity, and elicit suspicion about their ability to deceive us with their human‐like qualities. We review relevant research to explore this apparent paradox, particularly from an intergroup relations perspective. We discuss these findings and propose three research questions that we believe social psychologists are ideally suited to address.

show abstract

Section: Human–robot Interaction and Intergroup Relationsmentioning

confidence: 99%

Section: Human–robot Interaction and Intergroup Relationsmentioning

confidence: 99%

“Danger, Will Robinson!” The challenges of social robots for intergroup relations

Vanman

Kappas

2019

Social & Personality Psych

View full text Add to dashboard Cite

show abstract

“…Duffy (2003) stated that anthropomorphic design is the process of giving robots humanlike physical characteristics, such as flexible limbs and facial expressions, to support direct interaction between robots and humans. To this end, cobots aimed at direct cooperative interaction with workers have also adopted anthropomorphic design approaches to make them appear human characteristics, specifically in terms of their small size similar to the human body, round joints similar to the human shape, the ability to interact with humans by using the robotic arms supported by high-precision sensors, and their fluent humanlike movements (Złotowski et al, 2014. Ferrari & Eyssel, 2016Remmers, 2020).…”

Section: Introductionmentioning

confidence: 99%

Why not work with anthropomorphic collaborative robots? The mediation effect of perceived intelligence and the moderation effect of self‐efficacy

Liao,

Lin,

Chen

et al. 2024

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

Collaborative robots (cobots) are an essential component of intelligent manufacturing. However, employees working alongside them have negative attitudes toward cobots that assist humans' work. To address this industrial human–robot interaction problem, this study adopted the idea of cognitive ergonomics research, invited 323 participants, and conducted an empirical study using an experimental vignette methodology. This study found that (1) perceived intelligence plays a mediating role in the relationship between cobots anthropomorphism and negative attitudes toward cobots; (2) perceived intelligence and perceived threat play a serial mediating role in the relationship between cobots anthropomorphism and negative attitudes toward cobots; (3) robot use self‐efficacy plays a moderating role in the relationship between perceived threat and negative attitudes toward cobots. The results provide a mechanistic explanation and related measures to eliminate the negative attitudes toward cobots.

show abstract

“…Even though we are confronted with diversity in all sectors of our daily lives, we mostly have not considered robots as a new social group that potentially extends the notion of diversity ( Ferrari and Eyssel, 2006 ). Endorsing stereotypes and prejudice associated with groups other than our own, however, pose psychological obstacles to positive interactions.…”

Section: Introductionmentioning

confidence: 99%

Diversity Training With Robots: Perspective-Taking Backfires, While Sterotype-Suppression Decreases Negative Attitudes Towards Robots

Wullenkord

Eyssel

2022

Front. Robot. AI

Self Cite

View full text Add to dashboard Cite

The present research investigated the effects of a diversity training intervention on robot-related attitudes to test whether this could help to manage the diversity inherent in hybrid human-robot teams in the work context. Previous research in the human-human context has shown that stereotypes and prejudice, i.e., negative attitudes, may impair productivity and job satisfaction in teams high in diversity (e.g., regarding age, gender, or ethnicity). Relatedly, in hybrid human-robot teams, robots likely represent an “outgroup” to their human co-workers. The latter may have stereotypes towards robots and may hold negative attitudes towards them. Both aspects might have detrimental effects on subjective and objective performance in human-robot interactions (HRI). In an experiment, we tested the effect of an economic and easy to apply diversity training intervention for use in the work context: The so-called enlightenment approach. This approach utilizes perspective-taking to reduce prejudice and discrimination in human-human contexts. We adapted this intervention to the HRI context and explored its impact on participants’ implicit and explicit robot-related attitudes. However, contrary to our predictions, taking the perspective of a robot resulted in more negative robot-related attitudes, whereas actively suppressing stereotypes about social robots and their characteristics produced positive effects on robot attitudes. Therefore, we recommend considering potential pre-existing aversions against taking the perspective of a robot when designing interventions to improve human-robot collaboration at the workplace. Instead, it might be useful to provide information about existing stereotypes and their consequences, thereby making people aware of their potential biases against social robots.

show abstract

Toward a Hybrid Society

Cited by 9 publications

References 26 publications

“Danger, Will Robinson!” The challenges of social robots for intergroup relations

“Danger, Will Robinson!” The challenges of social robots for intergroup relations

Why not work with anthropomorphic collaborative robots? The mediation effect of perceived intelligence and the moderation effect of self‐efficacy

Diversity Training With Robots: Perspective-Taking Backfires, While Sterotype-Suppression Decreases Negative Attitudes Towards Robots

Contact Info

Product

Resources

About