In multi-party human-robot interaction, a robot must continuously decide whom to address and what to say to participate effectively in the conversation. In real-world interactions, this is challenging because several behaviours may be plausible at the same time: a robot might continue a topic with one participant, invo...
Massimiliano Nigro, Hatice Gunes, Micol Spitale et al.· 0 citations
Communication in shared space interweaves verbal and non-verbal signals, and pointing gestures anchor language to the environment:"put the cup on that one"is uninterpretable without the gesture that fixes the referent. Yet no common framework exists for evaluating whether generated gestures indicate their intended refe...
A. Deichler, Rishabh Dabral, Fethiye Irmak Doğan et al.· 0 citations
Social robots are expected to operate across diverse environments, where similar arrangements can imply different socially appropriate actions, e.g., starting a conversation may be acceptable in a crowded home but disruptive in an office meeting. Because such norms and environments cannot all be anticipated in advance,...
It is suggested that fair monitoring of human-agent dialogue must look beyond surface cues to whether the agent's treatment is disparate, as off-the-shelf detectors reliably flag overt bias yet largely miss benevolent bias, LLM judges catch more under more explicit detection criteria but increasingly mis classify neutr...
Qian-Qi Liu, Jin Huang, Fethiye Irmak Doğan et al.· 0 citations
It is argued that prompt design should be treated as a socio-technical problem rather than a minor implementation detail, requiring explicit capability boundaries, transparent behavioural assumptions, and context-sensitive safeguards to support reliable and interpretable HRI.
Ashita Ashok, Franziska Babel, Patrick Holthaus et al.· 0 citations
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