Barrett Ens

Monash University, University of British Columbia

Papers

Total Citations

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About

Barrett Ens is a leading researcher at the intersection of human-computer interaction, immersive analytics, and haptic feedback. His work focuses on designing novel interaction techniques that bridge the gap between large-scale data visualization and precise, embodied user control. Ens’s major contributions center on integrating physical, tangible feedback into virtual and augmented reality environments to enhance data exploration. For instance, his highly cited work on "RoboHapalytics" (2022, 9 citations) pioneered the use of a robot-assisted haptic controller, providing users with physical guidance and resistance while navigating complex volumetric datasets. This approach transforms abstract data into a tactile experience, improving user understanding and precision. Furthering this line of inquiry, his 2024 study on "Precise Embodied Data Selection with Haptic Feedback" (3 citations) addresses a critical challenge in room-scale visualizations: enabling detailed interaction with individual data points without losing the broader contextual overview. By combining haptic cues with focus-and-context techniques, Ens’s research empowers users to maintain spatial awareness while performing fine-grained selections. His work is foundational for the next generation of immersive analytics tools, promising to make data interaction more intuitive, efficient, and physically grounded for researchers and analysts alike.