activity
20232026
most citedPredicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.HC2026

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…

cs.CL2026

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…

cs.HC2025

DriveSimQuest: A VR Driving Simulator and Research Platform on Meta Quest with Unity

Nishanth Chidambaram, Weichen Liu, Manas Satish Bedmutha +2

Using head-mounted Virtual Reality (VR) displays to simulate driving is critical to studying driving behavior and designing driver assistance systems. But existing VR driving simul…

cs.CL2025

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…

cs.HC2024★ 2 cited

Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning

Robert Kaufman, Emi Lee, Manas Satish Bedmutha +2

Low trust remains a significant barrier to Autonomous Vehicle (AV) adoption. To design trustworthy AVs, we need to better understand the individual traits, attitudes, and experienc…

cs.CY2024★ 1 cited

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…

cs.HC2023

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…