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Chia Shen

Researcher at Harvard University

Publications -  160
Citations -  8187

Chia Shen is an academic researcher from Harvard University. The author has contributed to research in topics: Gesture & Table (database). The author has an hindex of 49, co-authored 160 publications receiving 8004 citations. Previous affiliations of Chia Shen include University of Massachusetts Amherst & Mitsubishi Electric.

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Proceedings ArticleDOI

DiamondSpin: an extensible toolkit for around-the-table interaction

TL;DR: This paper identifies the fundamental functionality that tabletop user interfaces should embody, then presents the toolkit's architecture and API, and discusses insights on tabletop interaction issues the authors have observed from a set of applications built with DiamondSpin.
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.
Proceedings ArticleDOI

Lucid touch: a see-through mobile device

TL;DR: Initial study results indicate that many users found touching on the back of the device to be preferable to touched on the front, due to reduced occlusion, higher precision, and the ability to make multi-finger input.
Book ChapterDOI

UbiTable: Impromptu Face-to-Face Collaboration on Horizontal Interactive Surfaces

TL;DR: The UbiTable project examines the design space of tabletops used as scrap displays and addresses visual accessibility vs. electronic accessibility of documents, an issue which is critical to ubiquitous environments.
Proceedings ArticleDOI

Gesture registration, relaxation, and reuse for multi-point direct-touch surfaces

TL;DR: A set of bimanual continuous gestures that embody these principles are developed and explored within a prototype tabletop publishing application and carried out a user evaluation to assess the usability of these gestures and use the results and observations to suggest future design guidelines.