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Bill N. Schilit
Researcher at Google
Publications - 61
Citations - 12486
Bill N. Schilit is an academic researcher from Google. The author has contributed to research in topics: Ubiquitous computing & Mobile computing. The author has an hindex of 35, co-authored 61 publications receiving 12232 citations. Previous affiliations of Bill N. Schilit include FX Palo Alto Laboratory & Columbia University.
Papers
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Proceedings ArticleDOI
Context-Aware Computing Applications
TL;DR: This paper describes systems that examine and react to an individual's changing context, and describes four catagories of context-aware applications: proximate selection, automatic contextual reconfiguration, contextual information and commands, and contex-triggered actions.
Journal ArticleDOI
Disseminating active map information to mobile hosts
TL;DR: An active map service (AMS) is described that supports context-aware computing by providing clients with information about located-objects and how those objects change over time and how that information is disseminated to its clients.
Book ChapterDOI
Place lab: device positioning using radio beacons in the wild
Anthony LaMarca,Yatin Chawathe,Sunny Consolvo,Jeffrey Hightower,Ian Smith,James Scott,Timothy Sohn,James H. Howard,Jeff Hughes,Fred Potter,Jason Tabert,Pauline Powledge,Gaetano Borriello,Bill N. Schilit +13 more
TL;DR: Experimental results are presented showing that 802.11 and GSM beacons are sufficiently pervasive in the greater Seattle area to achieve 20-30 meter median accuracy with nearly 100% coverage measured by availability in people's daily lives.
Journal ArticleDOI
An overview of the PARCTAB ubiquitous computing experiment
Roy Want,Bill N. Schilit,Norman I Adams,Rich Gold,Karin Petersen,David E. Goldberg,John R. Ellis,Mark D. Weiser +7 more
TL;DR: The ubiquitous computing philosophy, the PARCTAB system, user interface issues for small devices, and the experience in developing and testing a variety of mobile applications are described.
Proceedings ArticleDOI
Beyond paper: supporting active reading with free form digital ink annotations
TL;DR: The XLibris “active reading machine” demonstrates that computers can help active readers organize and find information while retaining many of the advantages of reading on paper.