124 citations · 128 across the 9 of their papers we have counts for
10 papers
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…
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…
Cognitive Science-Inspired Evaluation of Core Capabilities for Object Understanding in AI
Danaja Rutar, Alva Markelius, Konstantinos Voudouris +2
One of the core components of our world models is 'intuitive physics' - an understanding of objects, space, and causality. This capability enables us to predict events, plan action…
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…
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…
Harms from Increasingly Agentic Algorithmic Systems
Alan Chan, Rebecca Salganik, Alva Markelius +19
Research in Fairness, Accountability, Transparency, and Ethics (FATE) has established many sources and forms of algorithmic harm, in domains as diverse as health care, finance, pol…