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Kayur Patel

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Publications by Kayur Patel (bibliography)

» 2009 «

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Hoffmann, Raphael, Amershi, Saleema, Patel, Kayur, Wu, Fei, Fogarty, James and Weld, Daniel S. (2009): Amplifying community content creation with mixed initiative information extraction. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1849-1858. Available online

“Although existing work has explored both information extraction and community content creation, most research has focused on them in isolation. In contrast, we see the greatest leverage in the synergistic pairing of these methods as two interlocking feedback cycles. This paper explores the potential synergy promised if these cycles can be made to accelerate each other by exploiting the same edits to advance both community content creation and learning-based information extraction. We examine our proposed synergy in the context of Wikipedia infoboxes and the Kylin information extraction system. After developing and refining a set of interfaces to present the verification of Kylin extractions as a non primary task in the context of Wikipedia articles, we develop an innovative use of Web search advertising services to study people engaged in some other primary task. We demonstrate our proposed synergy by analyzing our deployment from two complementary perspectives: (1) we show we accelerate community content creation by using Kylin's information extraction to significantly increase the likelihood that a person visiting a Wikipedia article as a part of some other primary task will spontaneously choose to help improve the article's infobox, and (2) we show we accelerate information extraction by using contributions collected from people interacting with our designs to significantly improve Kylin's extraction performance.”

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» 2008 «

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Patel, Kayur, Fogarty, James, Landay, James A. and Harrison, Beverly L. (2008): Investigating statistical machine learning as a tool for software development. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 667-676. Available online

“As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study, but also as a tool for software development. Extensive prior work has studied software development, but little prior work has studied software developers applying statistical machine learning. This paper presents interviews of eleven researchers experienced in applying statistical machine learning algorithms and techniques to human-computer interaction problems, as well as a study of ten participants working during a five-hour study to apply statistical machine learning algorithms and techniques to a realistic problem. We distill three related categories of difficulties that arise in applying statistical machine learning as a tool for software development: (1) difficulty pursuing statistical machine learning as an iterative and exploratory process, (2) difficulty understanding relationships between data and the behavior of statistical machine learning algorithms, and (3) difficulty evaluating the performance of statistical machine learning algorithms and techniques in the context of applications. This paper provides important new insight into these difficulties and the need for development tools that better support the application of statistical machine learning.”

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Harada, Susumu, Lester, Jonathan, Patel, Kayur, Saponas, T. Scott, Fogarty, James, Landay, James A. and Wobbrock, Jacob O. (2008): VoiceLabel: using speech to label mobile sensor data. In: Digalakis, Vassilios, Potamianos, Alexandros, Turk, Matthew, Pieraccini, Roberto and Ivanov, Yuri (eds.) Proceedings of the 10th International Conference on Multimodal Interfaces - ICMI 2008 October 20-22, 2008, Chania, Crete, Greece. pp. 69-76. Available online

» 2006 «

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Patel, Kayur, Chen, Mike Y., Smith, Ian and Landay, James A. (2006): Personalizing routes. In: Proceedings of the ACM Symposium on User Interface Software and Technology 2006. pp. 187-190. Available online

“Navigation services (e.g., in-car navigation systems and online mapping sites) compute routes between two locations to help users navigate. However, these routes may direct users along an unfamiliar path when a familiar path exists, or, conversely, may include redundant information that the user already knows. These overly complicated directions increase the cognitive load of the user, which may lead to a dangerous driving environment. Since the level of detail is user specific and depends on their familiarity with a region, routes need to be personalized. We have developed a system, called MyRoute, that reduces route complexity by creating user specific routes based on a priori knowledge of familiar routes and landmarks. MyRoute works by compressing well known steps into a single contextualized step and rerouting users along familiar routes.”

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Changes to this page (author)

14 Feb 2010: Enabled abstracts to be shown on Kayur Patel's author page.
30 May 2009: Author was edited

09 May 2009: Author was edited
12 May 2008: Author was edited
12 May 2008: Author was edited
24 Jul 2007: Author was added to the bibliography

Publication statistics

Publication period:2006-2009
Publication count:4
Number of co-authors:13

Productive colleagues

Kayur Patel's 3 most productive colleagues in number of publications:

James A. Landay:73
Jacob O. Wobbrock:35
James Fogarty:28

Collaboration count

Number of publications with 3 favourite co-authors:

James A. Landay:3
James Fogarty:3
Susumu Harada:1

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Conference Calendar

Mar 21

WritersUA Conf. for Software User Assistance

Mar 22

UX People

Mar 22

ETRA '10 - Eye Tracking Research & Applications Symp.

Mar 20

“ Computer programs emerge as the outcome of complex human processes of cognition, communication and negotiation, which serve to establish the meaningful embedding of the computer system in its intended use context. ”

-- Floyd, 1992, p. 24 ”

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