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Ravin Balakrishnan

Researcher at University of Toronto

Publications -  184
Citations -  16676

Ravin Balakrishnan is an academic researcher from University of Toronto. The author has contributed to research in topics: Input device & Gesture. The author has an hindex of 72, co-authored 182 publications receiving 15970 citations. Previous affiliations of Ravin Balakrishnan include Mitsubishi Electric Research Laboratories & Microsoft.

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Proceedings ArticleDOI

Interactive public ambient displays: transitioning from implicit to explicit, public to personal, interaction with multiple users

TL;DR: Design principles and an interaction framework for sharable, interactive public ambient displays that support the transition from implicit to explicit interaction with both public and personal information are developed.
Proceedings ArticleDOI

Multi-finger and whole hand gestural interaction techniques for multi-user tabletop displays

TL;DR: A variety of multifinger and whole hand gestural interaction techniques for tabletop displays that leverage and extend the types of actions that people perform when interacting on real physical tabletops are presented.
Proceedings ArticleDOI

The bubble cursor: enhancing target acquisition by dynamic resizing of the cursor's activation area

TL;DR: Results show that the bubble cursor significantly outperforms the point cursor and the object pointing technique, and that bubble cursor performance can be accurately modeled and predicted using Fitts' law.
Proceedings ArticleDOI

Distant freehand pointing and clicking on very large, high resolution displays

TL;DR: Three techniques for gestural pointing and two for clicking are developed and evaluated and subtle auditory and visual feedback techniques are presented to compensate for the lack of kinesthetic feedback in freehand interaction.
Proceedings ArticleDOI

Direct-touch vs. mouse input for tabletop displays

TL;DR: The results of two experiments show that for bimanual tasks performed on tabletoptops, users benefit from direct-touch input, but results also indicate that mouse input may be moreappropriate for a single user working on tabletop tasks requiring only single-point interaction.