Develops and validates a two-factor scale for machine companionship with AI companions via exploratory factor analysis on N=467 and confirmation on N=249, with post-hoc identification of socioinstrumental and autotelic templates.
Measurement instruments for the anthro- pomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots
3 Pith papers cite this work. Polarity classification is still indexing.
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Virtual evacuation study with 56 participants finds humans prefer robots that proactively use refuge niches to yield space, with a clear hierarchy over freezing or efficiency-focused strategies.
LLM-based persuasion systems frequently match or exceed human effectiveness across domains, with key influences from interaction style, model scale, prompt design, and personalization, while posing risks to information integrity, fairness, privacy, and autonomy.
citing papers explorer
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Measuring Machine Companionship: Scale Development and Validation for AI Companions
Develops and validates a two-factor scale for machine companionship with AI companions via exploratory factor analysis on N=467 and confirmation on N=249, with post-hoc identification of socioinstrumental and autotelic templates.
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Beyond Collision Avoidance: Multi-Robot Yielding and Spatial Affordance in Emergency Evacuations
Virtual evacuation study with 56 participants finds humans prefer robots that proactively use refuge niches to yield space, with a clear hierarchy over freezing or efficiency-focused strategies.
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Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications
LLM-based persuasion systems frequently match or exceed human effectiveness across domains, with key influences from interaction style, model scale, prompt design, and personalization, while posing risks to information integrity, fairness, privacy, and autonomy.