1 citations · 1 across the 3 of their papers we have counts for
3 papers
How Users Perceive Mixed-Initiative AI: Attitudes Toward Assistance in Problem Solving
Yunhao Luo, Arthur Caetano, Avinash Ajit Nargund +2
In mixed-initiative systems, the mode of AI assistance delivery can be as consequential as the assistance itself. We investigated two assistance delivery modes: on-demand help (use…
Exploration of Radar-based Obstacle Visualizations to Support Safety and Presence in Camera-Free Outdoor VR
Avinash Ajit Nargund, Andrew L. Huard, Tobias Höllerer +1
Outdoor virtual reality (VR) places users in dynamic physical environments where they must remain aware of real-world obstacles, including static structures and moving bystanders,…
Understanding Mode Switching in Human-AI Collaboration: Behavioral Insights and Predictive Modeling
Avinash Ajit Nargund, Arthur Caetano, Kevin Yang +6
Human-AI collaboration is typically offered in one of two of user control levels: guidance, where the AI provides suggestions and the human makes the final decision, and delegation…