221 citations · 471 across the 16 of their papers we have counts for
17 papers
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
Jacky Liang, Fei Xia, Wenhao Yu +47
Large language models (LLMs) have been shown to exhibit a wide range of capabilities, such as writing robot code from language commands -- enabling non-experts to direct robot beha…
Evaluating and Personalizing User-Perceived Quality of Text-to-Speech Voices for Delivering Mindfulness Meditation with Different Physical Embodiments
Zhonghao Shi, Han Chen, Anna-Maria Velentza +4
Mindfulness-based therapies have been shown to be effective in improving mental health, and technology-based methods have the potential to expand the accessibility of these therapi…
Designing a Socially Assistive Robot to Support Older Adults with Low Vision
Emily Zhou, Zhonghao Shi, Xiaoyang Qiao +2
Socially assistive robots (SARs) have shown great promise in supplementing and augmenting interventions to support the physical and mental well-being of older adults. However, past…
Robot Vulnerability and the Elicitation of User Empathy
Morten Roed Frederiksen, Katrin Fischer, Maja Matarić
This paper describes a between-subjects Amazon Mechanical Turk study (n = 220) that investigated how a robot's affective narrative influences its ability to elicit empathy in human…
Augmented Reality Appendages for Robots: Design Considerations and Recommendations for Maximizing Social and Functional Perception
Ipek Goktan, Karen Ly, Thomas R. Groechel +1
In order to address the limitations of gestural capabilities in physical robots, researchers in Virtual, Augmented, Mixed Reality Human-Robot Interaction (VAM-HRI) have been using…
Using Design Metaphors to Understand User Expectations of Socially Interactive Robot Embodiments
Nathaniel Dennler, Changxiao Ruan, Jessica Hadiwijoyo +3
The physical design of a robot suggests expectations of that robot's functionality for human users and collaborators. When those expectations align with the true capabilities of th…