6 papers
How Can Large Language Models Enable Better Socially Assistive Human-Robot Interaction: A Brief Survey
Zhonghao Shi, Ellen Landrum, Amy O' Connell +5
Socially assistive robots (SARs) have shown great success in providing personalized cognitive-affective support for user populations with special needs such as older adults, childr…
Designing Robot Identity: The Role of Voice, Clothing, and Task on Robot Gender Perception
Nathaniel S. Dennler, Mina Kian, Stefanos Nikolaidis +1
Perceptions of gender are a significant aspect of human-human interaction, and gender has wide-reaching social implications for robots deployed in contexts where they are expected…
Using Causal Trees to Estimate Personalized Task Difficulty in Post-Stroke Individuals
Nathaniel Dennler, Stefanos Nikolaidis, Maja Matarić
Adaptive training programs are crucial for recovery post stroke. However, developing programs that automatically adapt depends on quantifying how difficult a task is for a specific…
Singing the Body Electric: The Impact of Robot Embodiment on User Expectations
Nathaniel Dennler, Stefanos Nikolaidis, Maja Matarić
Users develop mental models of robots to conceptualize what kind of interactions they can have with those robots. The conceptualizations are often formed before interactions with t…
The RoSiD Tool: Empowering Users to Design Multimodal Signals for Human-Robot Collaboration
Nathaniel Dennler, David Delgado, Daniel Zeng +2
Robots that cooperate with humans must be effective at communicating with them. However, people have varied preferences for communication based on many contextual factors, such as…
Quality-Diversity Generative Sampling for Learning with Synthetic Data
Allen Chang, Matthew C. Fontaine, Serena Booth +2
Generative models can serve as surrogates for some real data sources by creating synthetic training datasets, but in doing so they may transfer biases to downstream tasks. We focus…