Meta-analysis of 162 studies shows reduced prosocial behavior and moral engagement with agents versus humans, but comparable trust and performance, with agents perceived as less competent and likeable.
Losey, Marcia K
5 Pith papers cite this work. Polarity classification is still indexing.
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Robots detect underspecified reward features via demonstration variation and query targeted natural language explanations to improve reward recovery from imperfect demos.
QuickLAP fuses LLM-extracted language observations with physical feedback in a closed-form Bayesian update to cut reward learning error by over 70% in a driving simulator and improve user preference in a 15-person study.
People reject cookie + $2 offers from robots more than cookie alone due to inferred phantom costs, accepting more from robots than humans overall with no embodiment effect for robots.
A conceptual framework classifies anthropomorphic deception into four levels using humanlikeness, agency, and selfhood to guide ethical and practical decisions in HCI and HRI.
citing papers explorer
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Psychological and behavioural responses in human-agent vs. human-human interactions: a systematic review and meta-analysis
Meta-analysis of 162 studies shows reduced prosocial behavior and moral engagement with agents versus humans, but comparable trust and performance, with agents perceived as less competent and likeable.
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Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
Robots detect underspecified reward features via demonstration variation and query targeted natural language explanations to improve reward recovery from imperfect demos.
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QuickLAP: Quick Language-Action Preference Learning for Semi-Autonomous Agents
QuickLAP fuses LLM-extracted language observations with physical feedback in a closed-form Bayesian update to cut reward learning error by over 70% in a driving simulator and improve user preference in a 15-person study.
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Too good to be true: People reject free gifts from robots because they infer bad intentions
People reject cookie + $2 offers from robots more than cookie alone due to inferred phantom costs, accepting more from robots than humans overall with no embodiment effect for robots.
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Towards A Framework for Levels of Anthropomorphic Deception in Robots and AI
A conceptual framework classifies anthropomorphic deception into four levels using humanlikeness, agency, and selfhood to guide ethical and practical decisions in HCI and HRI.