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Robert C. Miller

Researcher at Dresden University of Technology

Publications -  230
Citations -  16124

Robert C. Miller is an academic researcher from Dresden University of Technology. The author has contributed to research in topics: User interface & Web page. The author has an hindex of 61, co-authored 226 publications receiving 15015 citations. Previous affiliations of Robert C. Miller include University of Washington & Vassar College.

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Proceedings ArticleDOI

Soylent: a word processor with a crowd inside

TL;DR: S soylent, a word processing interface that enables writers to call on Mechanical Turk workers to shorten, proofread, and otherwise edit parts of their documents on demand, and the Find-Fix-Verify crowd programming pattern, which splits tasks into a series of generation and review stages.
Proceedings ArticleDOI

Smart Homes that Monitor Breathing and Heart Rate

TL;DR: Vital-Radio is introduced, a wireless sensing technology that monitors breathing and heart rate without body contact that can monitor the vital signs of multiple people simultaneously and enable smart homes that monitor people's vital signs without body instrumentation, and actively contribute to their inhabitants' well-being.
Proceedings ArticleDOI

3D tracking via body radio reflections

TL;DR: WiTrack bridges a gap between RF-based localization systems which locate a user through walls and occlusions, and human-computer interaction systems like Kinect, which can track a user without instrumenting her body, but require the user to stay within the direct line of sight of the device.
Proceedings ArticleDOI

Twitinfo: aggregating and visualizing microblogs for event exploration

TL;DR: TwitInfo allows users to browse a large collection of tweets using a timeline-based display that highlights peaks of high tweet activity, and can identify 80-100% of manually labeled peaks, facilitating a relatively complete view of each event studied.
Proceedings ArticleDOI

VizWiz: nearly real-time answers to visual questions

TL;DR: VizWiz uses the Internet connections and cameras on existing smartphones to connect blind people and their questions to remote paid workers' answers, making it both competitive with expensive automatic solutions and much more versatile.