dc.contributor.advisor | Robert C. Miller. | en_US |
dc.contributor.author | Nayak, Rajeev (Rajeev R.) | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2011-05-09T15:16:25Z | |
dc.date.available | 2011-05-09T15:16:25Z | |
dc.date.copyright | 2010 | en_US |
dc.date.issued | 2010 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/62663 | |
dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. | en_US |
dc.description | Cataloged from PDF version of thesis. | en_US |
dc.description | Includes bibliographical references (p. 65-66). | en_US |
dc.description.abstract | Sinch is an application that allows mobile device users to obtain answers to their questions without having to perform a web search in their mobile browser. Questions are answered by human beings using Mechanical Turk, an online labor market for simple human computation tasks. Workers on Mechanical Turk can search for answers using their desktop browsers, free from the numerous shortcomings of browsing the internet on a small mobile device while in a potentially distracting situation. Sinch contributes an URL-rewriting proxy browser that can be embedded in Mechanical Turk tasks to track browsing history, text selections, and other user events. It also introduces two ways to improve the credibility of human-generated answers: providing multiple answers to the same question and including a browsing history with each answer. The Sinch application also allows users to view answers in their original context on a web page, using a custom mobile browser to highlight the answer text on the web page and zoom into it. Evaluations demonstrate that Sinch is capable of delivering correct answers in a timely manner and investigate the effectiveness of providing multiple answers and a browsing history for each answer. | en_US |
dc.description.statementofresponsibility | by Rajeev Nayak. | en_US |
dc.format.extent | 69 p. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | Sinch : searching intelligently on a mobile device | en_US |
dc.title.alternative | Searching intelligently on a mobile device | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M.Eng. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.identifier.oclc | 714215843 | en_US |