The role of reciprocity in human-robot social influence

Zonca, Joshua; Folsø, Anna; Sciutti, Alessandra

doi:10.1016/j.isci.2021.103424

Cited by 16 publications

(6 citation statements)

References 93 publications

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“…Reciprocity potentially improves human-robot collaboration and trust and has been called a "key social mechanism" to build successful companion robots (Burger et al, 2017;Kahn et al, 2007;Lorenz et al, 2016). For instance, reciprocity supports collaboration with a robot during a joint judgment task (Zonca et al, 2021). Despite research on adults' reciprocity toward robots (e.g., Hsieh et al, 2020;Sandoval et al, 2016Sandoval et al, , 2021, little is known about the development of reciprocity in child-robot interaction (CRI).…”

Section: Reciprocity and Relationship Formation In Hrimentioning

confidence: 99%

Supplemental Material for Children’s reciprocity and relationship formation with a robot across age.

Leisten,

Heyselaar,

Bosse

et al. 2024

Technology, Mind, and Behavior

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Reciprocity is central to the formation and maintenance of relationships. Reciprocity and relationship formation change with children's development and are key aspects in human-robot interaction. So far, it is unclear how children reciprocate and build a relationship with a social robot and how this reciprocity develops with age. In the present study, we collected data from 147 children aged 5-12 years to investigate age differences in reciprocity and relationship formation toward a social robot. To test reciprocity, children completed an Alternated Repeated Ultimatum Game with a social robot and another child. Children also completed a survey on relationship formation to assess robot-related closeness, trust, and social support. Results from a linear-mixed effects Bayesian analysis indicated that children reciprocated similarly to a robot as to another child. While reciprocity differed across age with lower values for 8-10-year-olds compared to younger and older children, these age differences in reciprocity were also observed when children interacted with the robot. Children's relationship formation with a social robot also changed with age. Our findings suggest that established theories from human-human literature (e.g., age differences in reciprocity) are also relevant for human-robot interaction. Children's age is an important determinant for how children interact with and perceive robots.

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Section: Reciprocity and Relationship Formation In Hrimentioning

confidence: 99%

Supplemental Material for Children’s reciprocity and relationship formation with a robot across age.

Leisten,

Heyselaar,

Bosse

et al. 2024

Technology, Mind, and Behavior

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show abstract

“…Conductas sociales como la lealtad, la confianza, la devolución de favores o ayudar a alguien parecen surgir cuando se espera obtener algún beneficio o, al menos, cuando no suponen una pérdida de beneficios, y esto se aplica a diversos dominios. Zonca et al (2021) hallaron que las personas colaboraban en una tarea durante más tiempo y con mayor precisión si el agente les ayudaba previamente que si no lo hacía. Es más, las personas tendían a tener más en cuenta los consejos de quienes previamente habían tenido en cuenta su propia opinión, por lo que, incluso si habían perdido la confianza en el robot, fingían tener en cuenta sus opiniones para complacerle y poder ejercer mayor influencia sobre él.…”

Section: Antropomorfismo Y Conductas Relacionadas Con La Integridad A...unclassified

¿Tramposo e injusto? Entonces, es humano. Robots sociales educativos y ética sintética

Gómez-León

2024

TCE

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La educación comienza a hacer uso de la inteligencia artificial emocional a través de robots educativos antropomorfizados. La evidencia respalda que los estudiantes (hombres y mujeres) son capaces de crear vínculos emocionales con estos agentes. Sin embargo, cada vez se están encontrando más casos de desinhibición abusiva en este tipo de interacciones, como degradaciones racistas o sexistas, abuso de poder y violencia. Algunos investigadores alertan sobre las consecuencias negativas que este tipo de conductas pueden tener a largo plazo, tanto para la educación ética de los estudiantes como para los robots que aprenden de estas conductas. A pesar de su relevancia desde una perspectiva social y educativa, existen pocos estudios que intenten comprender los mecanismos que subyacen a estas prácticas inmorales o colectivamente dañinas. El objetivo de este artículo es revisar y analizar las investigaciones que han tratado de estudiar el comportamiento antiético del ser humano a través de su interacción con los robots sociales antropomórficos. Se realizó un estudio bibliométrico descriptivo siguiendo los criterios de la declaración PRISMA. Los resultados muestran que, bajo ciertas circunstancias, la antropomorfización y la atribución de intencionalidad a los agentes robóticos podría ser desventajosa, provocando actitudes de rechazo, deshumanización e incluso violencia. Sin embargo, una visión más realista tanto de las capacidades y limitaciones de estos agentes como de los mecanismos que guían la conducta humana podría ayudar a aprovechar el gran potencial de esta tecnología para promover el desarrollo moral y la conciencia ética de los estudiantes.

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“…The bidirectional interaction between human-like social robots and people is important for their acceptance. Indeed, reciprocity is key for social interactions (Zonca et al ., 2021). Finally, trust is one of the most important emotions expressed by users when interacting with VI (Borghi and Mariani, 2022), and a social ability is necessary to build trust (Fernandes and Oliveira, 2021).…”

Section: Theoretical Foundationsmentioning

confidence: 99%

The perceived credibility of human-like social robots: virtual influencers in a luxury and multicultural context

Boissieu

Baudier

2023

JOCM

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PurposeSocial robots are invading our daily lives. Recently, thanks to artificial intelligence, humanoid social robots have been developed and influence individuals on social media. This paper aims to understand the perception of luxury consumers regarding human-like virtual influencers (VI) in a multicultural context.Design/methodology/approachConducting a qualitative method, the authors interviewed 32 Chinese and French consumers of luxury products from the Gen-Z and millennial generation about their perception of human influencers and human-like VI after following them on social media specific platforms.FindingsUsing source credibility theory, this research unveils the different ways in which consumers perceive human-like VI according to their physical or content attractiveness, expertise, similarities and trustworthiness. The results suggest that the perception of human-like VI by millennials and Gen-Z is closely related to their cultural setting and their familiarity of the technology in a luxury context.Originality/valueConsidering Gen-Z and millennials' willing for para-social interactions and given the importance to the credibility of the source or the emotions displayed by VI, the intercultural empirical setting of this study introduces the ambivalence of the perception of social robots versus human-like influencers in a luxury digital context.

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The role of reciprocity in human-robot social influence

Cited by 16 publications

References 93 publications

Supplemental Material for Children’s reciprocity and relationship formation with a robot across age.

Supplemental Material for Children’s reciprocity and relationship formation with a robot across age.

¿Tramposo e injusto? Entonces, es humano. Robots sociales educativos y ética sintética

The perceived credibility of human-like social robots: virtual influencers in a luxury and multicultural context

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