2 citations · 3 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
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…
An Empirical Design Justice Approach to Identifying Ethical Considerations in the Intersection of Large Language Models and Social Robotics
Alva Markelius
The integration of Large Language Models (LLMs) in social robotics presents a unique set of ethical challenges and social impacts. This research is set out to identify ethical cons…
A Human-Robot Mutual Learning System with Affect-Grounded Language Acquisition and Differential Outcomes Training
Alva Markelius, Sofia Sjöberg, Zakaria Lemhauori +4
This paper presents a novel human-robot interaction setup for robot and human learning of symbolic language for identifying robot homeostatic needs. The robot and human learn to us…