6 papers
Towards Considerate Embodied AI: Co-Designing Situated Multi-Site Healthcare Robots from Abstract Concepts to High-Fidelity Prototypes
Yuanchen Bai, Ruixiang Han, Niti Parikh +2
Co-design is essential for grounding embodied artificial intelligence (AI) systems in real-world contexts, especially high-stakes domains such as healthcare. While prior work has e…
Why We Need a New Framework for Emotional Intelligence in AI
Max Parks, Kheli Atluru, Meera Vinod +5
In this paper, we develop the position that current frameworks for evaluating emotional intelligence (EI) in artificial intelligence (AI) systems need refinement because they do no…
Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback
Rachel DiPirro, Rosalyn Devonport, Dan Calderone +3
Understanding driver interactions is critical to designing autonomous vehicles to interoperate safely with human-driven cars. We consider the impact of these interactions on the po…
Using Vision-Language Models as Proxies for Social Intelligence in Human-Robot Interaction
Fanjun Bu, Melina Tsai, Audrey Tjokro +3
Robots operating in everyday environments must often decide when and whether to engage with people, yet such decisions often hinge on subtle nonverbal cues that unfold over time an…
Making Sense of Robots in Public Spaces: A Study of Trash Barrel Robots
Fanjun Bu, Kerstin Fischer, Wendy Ju
In this work, we analyze video data and interviews from a public deployment of two trash barrel robots in a large public space to better understand the sensemaking activities peopl…
ReStory: VLM-augmentation of Social Human-Robot Interaction Datasets
Fanjun Bu, Wendy Ju
Internet-scaled datasets are a luxury for human-robot interaction (HRI) researchers, as collecting natural interaction data in the wild is time-consuming and logistically challengi…