11 citations · 19 across the 7 of their papers we have counts for
8 papers
AffAdapt: AFFect-driven ADAPTive AI Personas for Seamless Conversations
Nishanth Chidambaram, Kaustubh Paliwal, Kayla Hom +4
AI-generated personas are being increasingly used for support, training and simulations. While generative AI models possess abilities to generate affect-aware responses, their embo…
Depression Detection at the Point of Care: Automated Analysis of Linguistic Signals from Routine Primary Care Encounters
Feng Chen, Manas Bedmutha, Janice Sabin +3
Depression is underdiagnosed in primary care, yet timely identification remains critical. Recorded clinical encounters, increasingly common with digital scribing technologies, pres…
SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation
Manas Satish Bedmutha, Feng Chen, Andrea Hartzler +2
Effective patient-provider communication is difficult to assess at scale. We examine whether large language models (LLMs) can track 20 social behaviors from clinical transcripts wi…
MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback
Chen Chen, Cuong Nguyen, Thibault Groueix +2
Providing asynchronous feedback is a critical step in the 3D design workflow. A common approach to providing feedback is to pair textual comments with companion reference images, w…
Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations
Feng Chen, Manas Satish Bedmutha, Ray-Yuan Chung +6
Implicit bias can impede patient-provider interactions and lead to inequities in care. Raising awareness is key to reducing such bias, but its manifestations in the social dynamics…
AcuVR: Enhancing Acupuncture Training Workflow with Virtual Reality
Menghe Zhang, Chen Chen, Matin Yarmand +2
Acupuncture is a widely adopted medical practice that involves inserting thin needles into specific points on the body to alleviate pain and treat various health conditions. Curren…
VR for Acupuncture? Exploring Needs and Opportunities for Acupuncture Training and Treatment in Virtual Reality
Menghe Zhang, Chen Chen, Matin Yarmand +1
Acupuncture is a form of medicine that involves inserting needles into targeted areas of the body and requires knowledge of both Traditional Chinese Medicine (TCM) and Evidence-Bas…
Towards Enhanced Human Activity Recognition through Natural Language Generation and Pose Estimation
Nikhil Kashyap, Manas Satish Bedmutha, Prerit Chaudhary +5
Vision-based human activity recognition (HAR) has made substantial progress in recognizing predefined gestures but lacks adaptability for emerging activities. This paper introduces…