collaborators

9 papers

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.HC2026

Toward Personalized Social Robots for Child Well-being: Data Requirement Principles from a Recommender-System Perspective

Jin Huang, Eric Nichols, Fethiye Irmak Dogan +1

Social robots are increasingly deployed in clinical settings to support the well-being of children, where effective support must be personalized to each child. Personalization, cho…

cs.CY2026

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions

Saleh Afroogh, Syed Ishtiaque Ahmed, Petra Ahrweiler +46

This study provides a cross-disciplinary examination of Explainable Artificial Intelligence (XAI) approaches-focusing on deep neural networks (DNNs) and large language models (LLMs…

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…