Social influences in the digital era: When do people conform more to a human being or an artificial intelligence?

Riva, P; Aureli, Nicolas; Silvestrini, Federica

doi:10.1016/j.actpsy.2022.103681

Cited by 9 publications

(4 citation statements)

References 36 publications

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“…Considering the free-text responses, subjects believed that the non-moral decision was made purely based on economic considerations. This shows evidence for higher algorithm appreciation in objective tasks (Riva et al, 2022;Castelo et al, 2019;Logg et al, 2019). Moreover, some subjects claimed that they let the robot decide to avoid difficult calculations.…”

Section: The Role Of the Decision-making Contextmentioning

confidence: 83%

“…The presence of algorithm appreciation or algorithm aversion depends on the usage context. Algorithm appreciation occurs when the task is objective (usually numerical) (Riva et al, 2022;Castelo et al, 2019;Logg et al, 2019), utilitarian (Longoni and Cian, 2022), or unpleasant and unexciting (Bouwer, 2022), while algorithm aversion occurs when the task is subjective (Riva et al, 2022;Castelo et al, 2019), consequential (Castelo et al, 2019), hedonistic (Longoni and Cian, 2022), or pleasant and activating (Bouwer, 2022).…”

Section: Algorithm Appreciation Versus Algorithm Aversionmentioning

confidence: 99%

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Increased morality through social communication or decision situation worsens the acceptance of robo-advisors

Arlinghaus,

Strassmann,

Dix

2024

Preprint

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This German study (N = 317) tests social communication (i.e., self-disclosure, content intimacy, relational continuity units, we-phrases) as a potential compensation strategy for algorithm aversion. Therefore, we explore the acceptance of a robot as an advisor in non-moral, somewhat moral, and very moral decision situations and compare the influence of two verbal communication styles of the robot (functional vs. social). Subjects followed the robot’s recommendation similarly often for both communication styles (functional vs. social), but more often in the non-moral decision situation than in the moral decision situations. Subjects perceived the robot as more human and more moral during social communication than during functional communication but similarly trustworthy, likable, and intelligent for both communication styles. In moral decision situations, subjects ascribed more anthropomorphism and morality but less trust, likability, and intelligence to the robot compared to the non-moral decision situation. Subjects perceive the robot as more moral in social communication. This unexpectedly led to subjects following the robot’s recommendation less often. No other mediation effects were found. From this we conclude, that the verbal communication style alone has a rather small influence on the robot’s acceptance as an advisor for moral decision-making and does not reduce algorithm aversion. Potential reasons for this (e.g., multimodality, no visual changes), as well as implications (e.g., avoidance of self-disclosure in human-robot interaction) and limitations (e.g., video interaction) of this study, are discussed.

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Section: The Role Of the Decision-making Contextmentioning

confidence: 83%

Section: Algorithm Appreciation Versus Algorithm Aversionmentioning

confidence: 99%

Increased morality through social communication or decision situation worsens the acceptance of robo-advisors

Arlinghaus,

Strassmann,

Dix

2024

Preprint

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“…showed that humans did not conform to humanoid robots when performing tasks related to the boundaries of linguistic imitation [31]. Riva et al investigated whether individuals faced with different tasks (objective vs. subjective) were more affected by the information provided by another human or an unembodied AI like a virtual assistant [32]. Their experimental results suggested that participants were more likely to exhibit conformity under the influence of AI rather than from other humans, particularly in objective tasks, as opposed to subjective ones.…”

Section: A Group Norm and Conformitymentioning

confidence: 99%

Unleashing Fairness: How a Group Norm-Aware Agent Shakes Up the Ultimatum Game

et al. 2023

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The emergence of social robots has created new opportunities for them to coexist with humans, but only if they can imitate human-like social behavior. Previous research has examined various robot social cues, such as emotions, gestures, and eye contact. However, an area that has been underresearched is the concept of implicit group norms, which are unwritten rules dictating the expected behavior of group members and can differ across different groups. By improving the ability of robots to behave in expected ways, we hope to promote greater acceptance of robots among humans. In this study, we propose a group norm-aware decision-making model to help robots adapt to group norms, which we evaluated in a human-agent experiment based on the ultimatum game. In this scenario, the gains and losses of one group member affect everyone else. Our results demonstrate that a group norm-aware decision-making agent promotes fairer distributions of benefits among group members, enhancing mutual benefit compared with an agent that does not consider group norms. This study provides a solid foundation for further research in developing social robots that are more adaptable and acceptable to humans. Additionally, our proposed model sets the stage for future robot experiments, ultimately leading to the emergence of more equitable and empathetic human-robot interactions.INDEX TERMS Fairness, group norm, human-agent interaction, human-robot interaction, interactive reinforcement learning, social robot, ultimatum game.

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“…To tackle this issue, it is crucial to assist preservice teachers in recognizing prevalent ideologies, power dynamics, and cultural perspectives through service learning. Furthermore, it is imperative for educators to cultivate their digital presence, as this fosters an augmentation of their social influence and self-assurance [20]. This, in turn, equips them with the necessary tools to assist students in critically evaluating and navigating cultural depictions within the realm of social media and the digital landscape.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Critical Digital Literacy of Preservice Preschool Teachers through Service Learning: The Moderator of Online Social Capital

Lo,

Wang,

Chen

2024

Sustainability

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This research delves into the examination of the correlation between service learning and critical digital literacy among preservice preschool teachers in Taiwan, with a particular emphasis on the role of online social capital. The survey took place in Taiwan with preservice preschool teachers who willingly completed a questionnaire. Initially, there were 416 data samples for further statistical analysis. This study utilizes literature reviews and theoretical reflections to examine the observed variables and factors in the “Service Learning and Critical Digital Literacy Scales” (SLCDL) questionnaire. To assess these aspects, a Chinese questionnaire is used, covering “service learning”, “critical digital literacy”, and “online social capital”. Using partial least squares analysis, researchers investigate the intricate interplay of online social capital in shaping the nexus between service learning experiences and the advance of critical digital literacy competencies. These results showed that service learning increased critical digital literacy among preservice preschool teachers, and online social capital played a mediating role in this relationship between service learning and critical digital literacy. We should actively encourage preservice preschool teachers to increase their critical awareness by understanding vulnerability and experiencing reality from the perspective of community partners. In addition, we need to provide more service learning opportunities that incorporate online social capital to enhance their critical digital literacy.

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Social influences in the digital era: When do people conform more to a human being or an artificial intelligence?

Cited by 9 publications

References 36 publications

Increased morality through social communication or decision situation worsens the acceptance of robo-advisors

Increased morality through social communication or decision situation worsens the acceptance of robo-advisors

Unleashing Fairness: How a Group Norm-Aware Agent Shakes Up the Ultimatum Game

Enhancing Critical Digital Literacy of Preservice Preschool Teachers through Service Learning: The Moderator of Online Social Capital

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