People’s dispositional cooperative tendencies towards robots are unaffected by robots’ negative emotional displays in prisoner’s dilemma games

Hsieh, Te-Yi; Cross, Emily S.

doi:10.1080/02699931.2022.2054781

Cited by 8 publications

(4 citation statements)

References 89 publications

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“…This finding is consistent with participant qualitative perceptions and behavioral ratings of this same robot in recently published work. 43 , 44 For example, in one scenario from our study, when the mechanoid robot lost the RPS series, its facial expression reflected a pout and it slammed its forklift on the table while moving around in circles in protest. Whereas, when the humanoid robot lost, it responded similarly to the human in a more measured manner, by lowering its arms and shaking its head and/or looking down in defeat.…”

Section: Discussionmentioning

confidence: 90%

Beyond human-likeness: Socialness is more influential when attributing mental states to robots

Jastrzab,

Chaudhury,

Ashley

et al. 2024

iScience

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Section: Discussionmentioning

confidence: 90%

Beyond human-likeness: Socialness is more influential when attributing mental states to robots

Jastrzab,

Chaudhury,

Ashley

et al. 2024

iScience

Self Cite

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“…Minimally humanized robots typically fail to elicit more cooperation than nonhumanized robots. Examples of minimal humanization include giving the robot an ovoid shape augmented with eyes, as compared to an insectoid appearance (De Kleijn et al 2019); or endowing a non-humanoid robot with some emotional displays, such as stylized angry, sad or happy eyes, as well as recorded sighs and laughter (Hsieh & Cross 2022). These experiments do not report significant effects on cooperation, suggesting that minimal humanization is insufficient to overcome the machine penalty.…”

Section: Overcoming the Machine Penaltymentioning

confidence: 98%

The Moral Psychology of Artificial Intelligence

Bonnefon,

Rahwan,

Shariff

2024

Annu. Rev. Psychol.

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Moral psychology was shaped around three categories of agents and patients: humans, other animals, and supernatural beings. Rapid progress in artificial intelligence has introduced a fourth category for our moral psychology to deal with: intelligent machines. Machines can perform as moral agents, making decisions that affect the outcomes of human patients or solving moral dilemmas without human supervision. Machines can be perceived as moral patients, whose outcomes can be affected by human decisions, with important consequences for human–machine cooperation. Machines can be moral proxies that human agents and patients send as their delegates to moral interactions or use as a disguise in these interactions. Here we review the experimental literature on machines as moral agents, moral patients, and moral proxies, with a focus on recent findings and the open questions that they suggest. Expected final online publication date for the Annual Review of Psychology, Volume 75 is January 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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“…This finding is consistent with participant qualitative perceptions and behavioural ratings of this same robot in recently published work. 44,45 For example, in one scenario from our study, when the mechanoid robot lost the RPS series, it pouted and slammed its forklift on the table while moving around in circles in protest. Whereas, when the humanoid robot lost, it responded similarly to the human in a more measured manner, by lowering its arms and shaking its head and/or looking down in defeat.…”

Section: Quantifying and Exploring Human-likeness Vs Socialnessmentioning

confidence: 98%

Beyond human-likeness: Socialness is more influential when attributing mental states to robots

Jastrzab,

Chaudhury,

Ashley

et al. 2023

Preprint

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SummaryWe sought to replicate and expand previous work showing that the more human-like a robot appears, the more willing people are to attribute mind-like capabilities and socially engage with it. Forty-two participants played games against a human, a humanoid robot, a mechanoid robot, and a computer algorithm while undergoing functional neuroimaging. Replicating previous studies, we confirmed that the more human-like the agent, the more participants attributed a mind to them. However, exploratory analyses revealed that beyond humanness, the perceivedsocialnessof an agent appeared to be as important, if not more so, for mind attribution. Our findings suggest that top-down knowledge cues are just as important, if not more so, than bottom-up stimulus cues when exploring mind attribution in non-human agents. While further work is now required to test this hypothesis directly, these preliminary findings hold important implications for robotic design and to understand and test the flexibility of human social cognition when people engage with artificial agents.

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People’s dispositional cooperative tendencies towards robots are unaffected by robots’ negative emotional displays in prisoner’s dilemma games

Cited by 8 publications

References 89 publications

Beyond human-likeness: Socialness is more influential when attributing mental states to robots

Beyond human-likeness: Socialness is more influential when attributing mental states to robots

The Moral Psychology of Artificial Intelligence

Beyond human-likeness: Socialness is more influential when attributing mental states to robots

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