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cs.RO2026

Evaluating Human and LLM-Generated Thematic Analysis in HRI for Vulnerable Populations: A Comparative and Ethical Analysis

Alva Markelius, Fethiye Irmak Dogan, Julie Bailey +1

Thematic analysis (TA) has long been regarded as an inherently human, reflexive, and interpretive process. However, the extent to which LLM-generated TA is appropriate for Human-Ro…

cs.RO2026

How Should I Pick a Foundation Model for My Robot? In Favor of a Community Evaluation Framework for Social Robots

Eric Nichols, Alva Markelius, Hatice Gunes

Researchers who seek to build social robot applications on foundation models are faced with a difficult question: how should we pick a model? Public leaderboards offer little guida…

cs.RO2026

Designing Social Robots for Inclusive Child Wellbeing Assessment: Insights from Communities Supporting Developmental Language Disorder and Forced Migration

Fethiye Irmak Dogan, Yue Lou, Alva Markelius +8

Assessing children's wellbeing and mental health can be particularly challenging for children experiencing communication barriers, such as children with Developmental Language Diso…

cs.RO2026

StARS: Socially Appropriate Robot Actions via a Recommender System-Driven Approach

Erencem Ozbey, Fethiye Irmak Dogan, Jin Huang +1

Social appropriateness in human-robot interaction (HRI) is not universal: different people can judge the same robot action differently in the same situation. To capture this inter-…

cs.RO2026

Designing Social Robots with Ethical, User-Adaptive Explainability in the Era of Foundation Models

Fethiye Irmak Dogan, Alva Markelius, Hatice Gunes

Foundation models are increasingly embedded in social robots, mediating not only what they say and do but also how they adapt to users over time. This shift renders traditional ``o…

cs.RO2026

Reimagining Social Robots as Recommender Systems: Foundations, Framework, and Applications

Jin Huang, Fethiye Irmak Doğan, Hatice Gunes

Personalization in social robots refers to the ability of the robot to meet the needs and/or preferences of an individual user. Existing approaches typically rely on large language…