Feeling committed to a robot: why, what, when and how?

Powell, Henry; Michael, John

doi:10.1098/rstb.2018.0039

Cited by 11 publications

(5 citation statements)

References 71 publications

(63 reference statements)

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“…Changing gear, Powell & Michael [28] discuss people's commitment to robots from a cognitive philosophical perspective in the final piece in this section. Commitment is crucial to consider in short-term and long-term HRI, and the authors centre their opinion piece on the why, what, when and how of human commitment to a robot.…”

Section: Moral and Ethical Implications Of Humanrobot Interactionmentioning

confidence: 99%

From social brains to social robots: applying neurocognitive insights to human–robot interaction

Cross

Hortensius

Wykowska

2019

Phil. Trans. R. Soc. B

113

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Amidst the fourth industrial revolution, social robots are resolutely moving from fiction to reality. With sophisticated artificial agents becoming ever more ubiquitous in daily life, researchers across different fields are grappling with the questions concerning how humans perceive and interact with these agents and the extent to which the human brain incorporates intelligent machines into our social milieu. This theme issue surveys and discusses the latest findings, current challenges and future directions in neuroscience- and psychology-inspired human–robot interaction (HRI). Critical questions are explored from a transdisciplinary perspective centred around four core topics in HRI: technical solutions for HRI, development and learning for HRI, robots as a tool to study social cognition, and moral and ethical implications of HRI. Integrating findings from diverse but complementary research fields, including social and cognitive neurosciences, psychology, artificial intelligence and robotics, the contributions showcase ways in which research from disciplines spanning biological sciences, social sciences and technology deepen our understanding of the potential and limits of robotic agents in human social life. This article is part of the theme issue ‘From social brains to social robots: applying neurocognitive insights to human–robot interaction’.

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Section: Moral and Ethical Implications Of Humanrobot Interactionmentioning

confidence: 99%

From social brains to social robots: applying neurocognitive insights to human–robot interaction

Cross

Hortensius

Wykowska

2019

Phil. Trans. R. Soc. B

113

View full text Add to dashboard Cite

show abstract

“…One question is whether the influence of joint goal pursuit on the social IOR that we observed in a human-computer interaction might be even stronger in a real interpersonal interaction. The influence might be stronger simply because interactive engagement, interest and commitment should be higher when interacting with another human than with a virtual agent (e.g., Powell & Michael, 2019;Raij et al, 2007). This prediction could be tested by replicating the present study in a typical lab setting with two participants performing manual reaching actions (e.g., Welsh et al, 2005; see Fig.…”

Section: Open Questions and Future Directionsmentioning

confidence: 82%

“…However, one could just as well argue that in today's world, where virtual interactions have become increasingly more common and where artificial intelligence is quickly taking root in everyday life, it seems difficult to classify a phenomenon as intrinsically "not social" solely because it extends to human-AI interactions. After all, mechanisms of social cognition (e.g., mental state attribution) may be evoked not only in interactions with natural human agents but also in those with artificial agents (e.g., Powell & Michael, 2019;Wahn & Kingstone, 2021;Wykowska et al, 2016).…”

Section: The Sociality Of the Social Iormentioning

confidence: 99%

Attention Allocation in Complementary Joint Action: How Joint Goals Affect Spatial Orienting

Schmitz¹,

Wahn²,

Krüger³

2022

Preprint

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When acting jointly, individuals often attend and respond to the same spatial location in complementary ways (e.g., when passing a mug, one person grasps its handle with a precision grip; the other receives it with a whole-hand grip). At the same time, the spatial relation between individuals' actions affects attentional orienting: one is slower to attend and respond to locations another person previously acted upon than to alternate locations ("social inhibition of return (IOR)"). Achieving joint goals (e.g., passing a mug), however, often requires returning to a co-actor's location. Our study thus addresses the question of whether joint goals affect attentional orienting, and hence the social IOR. Participants responded to cued locations on a screen, taking turns with a virtual co-actor. They pursued either an individual or a joint goal. Four experiments consistently showed that the social IOR was significantly modulated when participant and co-actor shared a joint goal. This suggests that attentional orienting is affected not only by the spatial but also by the social relation between individuals' actions. Our findings extend research on interpersonal perception-action effects, showing that the way another person's perceived action shapes our own depends on whether we share a joint goal with that person.

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“…Committing to entering the negotiation stage with the agent signals trust in the successful completion of the entire journey. Drawing on relationship marketing (Morgan and Hunt, 1994) and robot literature (Michael and Salice, 2017; Powell and Michael, 2019), we propose that such commitment and trust foster customers to become more cooperative and appreciative of the agent's skills. Consequently, customers will have more favorable perceptions of the agent's competence and warmth.…”

Section: Hypothesesmentioning

confidence: 99%

Some agents are more similar than others: customer orientation of frontline robots and employees

Leiño Calleja,

Schepers,

Nijssen

2023

JOSM

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PurposeThe impact of frontline robots (FLRs) on customer orientation perceptions remains unclear. This is remarkable because customers may associate FLRs with standardization and cost-cutting, such that they may not fit firms that aim to be customer oriented.Design/methodology/approachIn four experiments, data are collected from customers interacting with frontline employees (FLEs) and FLRs in different settings.FindingsFLEs are perceived as more customer-oriented than FLRs due to higher competence and warmth evaluations. A relational interaction style attenuates the difference in perceived competence between FLRs and FLEs. These agents are also perceived as more similar in competence and warmth when FLRs participate in the customer journey's information and negotiation stages. Switching from FLE to FLR in the journey harms FLR evaluations.Practical implicationsThe authors recommend firms to place FLRs only in the negotiation stage or in both the information and negotiation stages of the customer journey. Still then customers should not transition from employees to robots (vice versa does no harm). Firms should ensure that FLRs utilize a relational style when interacting with customers for optimal effects.Originality/valueThe authors bridge the FLR and sales/marketing literature by drawing on social cognition theory. The authors also identify the product categories for which customers are willing to negotiate with an FLR. Broadly speaking, this study’s findings underline that customers perceive robots as having agency (i.e. the mental capacity for acting with intentionality) and, just as humans, can be customer-oriented.

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Feeling committed to a robot: why, what, when and how?

Cited by 11 publications

References 71 publications

From social brains to social robots: applying neurocognitive insights to human–robot interaction

From social brains to social robots: applying neurocognitive insights to human–robot interaction

Attention Allocation in Complementary Joint Action: How Joint Goals Affect Spatial Orienting

Some agents are more similar than others: customer orientation of frontline robots and employees

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