2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…