most citedEmbedded vs. Situated: An Evaluation of AR Facial Training Feedback

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC20261 cited

Embedded vs. Situated: An Evaluation of AR Facial Training Feedback

Avinash Ajit Nargund, Andrea M. Park, Tobias Höllerer +1

While augmented reality (AR) research demonstrates benefits of embedded visualizations for gross motor training, its applicability to facial exercises remains under-explored. Provi…

cs.HC2026

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,…

cs.CV2025

Words into World: A Task-Adaptive Agent for Language-Guided Spatial Retrieval in AR

Lixing Guo, Tobias Höllerer

Traditional augmented reality (AR) systems predominantly rely on fixed class detectors or fiducial markers, limiting their ability to interpret complex, open-vocabulary natural lan…

cs.HC2025

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…

cs.HC2025

Navigating the Last Mile: Evaluating Head- and Cane-Mounted Cameras for Egocentric Spatial Awareness

Apurv Varshney, Lucas Nadolskis, Tobias Höllerer +1

Robust navigational guidance is an important XR application for both sighted and non-sighted populations. In this paper, we mainly focus on blind pedestrians, who continue to face…