N
Nitin Sawhney
Researcher at Massachusetts Institute of Technology
Publications - 35
Citations - 1937
Nitin Sawhney is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Wearable computer & Computer science. The author has an hindex of 17, co-authored 29 publications receiving 1891 citations. Previous affiliations of Nitin Sawhney include Xerox & Georgia Institute of Technology.
Papers
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Journal ArticleDOI
Nomadic radio: speech and audio interaction for contextual messaging in nomadic environments
Nitin Sawhney,Chris Schmandt +1 more
TL;DR: Iterative design and a preliminary user evaluation suggest that audio is an appropriate medium for mobile messaging, but that care must be taken to minimally intrude on the wearer's social and physical environment.
Proceedings ArticleDOI
Teaching and learning as multimedia authoring: the classroom 2000 project
Gregory D. Abowd,Christopher G. Atkeson,Ami Feinstein,Cindy E. Hmelo,Rob Kooper,Sue Long,Nitin Sawhney,Mikiya Tani +7 more
TL;DR: Various prototype tools created and used in a variety of courses are discussed, an initial evaluation of the acceptance and effectiveness of the technology is provided and some lessons learned are shared in applying ubiquitous computing technology in a real setting.
Proceedings ArticleDOI
Dynomite: a dynamically organized ink and audio notebook
TL;DR: Dynomite usage studies showed that Dynomite's indexing capabilities clearly improve the ability to find information in notes.
Proceedings ArticleDOI
HyperCafe: narrative and aesthetic properties of hypervideo
TL;DR: This program places the user in a virtual cafe, composed primarily of digital video clips of actors involved in fictional conversations in the cafe, and offers dynamic opportunities of interaction via temporal, spatio-temporal and textual links to present alternative narratives.
Patent
System for capturing and retrieving audio data and corresponding hand-written notes
TL;DR: In this article, an electronic notebook provides an updatable database of note marks and audio that is capable of being searched based on the properties, keywords, and audio highlights of the note marks.