1 citations · 3 across the 10 of their papers we have counts for
11 papers
Benevolent Bias in Multi-Turn Human-Agent Dialogue
Qianqi Liu, Jin Huang, Fethiye Irmak Dogan +1
Bias in human-agent interaction can manifest not only through hostile language but also as benevolent bias, whereby unequal treatment hides behind a warm, positive tone. To make it…
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…
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…
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 +7
Assessing children's wellbeing and mental health can be particularly challenging for children experiencing communication barriers, such as children with Developmental Language Diso…
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-…
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…
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…
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…
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…
Social Robotics for Disabled Students: An Empirical Investigation of Embodiment, Roles and Interaction
Alva Markelius, Fethiye Irmak Doğan, Julie Bailey +3
Institutional and social barriers in higher education often prevent students with disabilities from effectively accessing support, including lengthy procedures, insufficient inform…
Stakeholder Perspectives on Whether and How Social Robots Can Support Mediation and Advocacy for Higher Education Students with Disabilities
Alva Markelius, Julie Bailey, Jenny L. Gibson +1
This paper presents an iterative, participatory, empirical study that examines the potential of using artificial intelligence, such as social robots and large language models, to s…