Improving target acquisition in Web applications with link prediction
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2008
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| Online Access: | http://hdl.handle.net/1721.1/41637 |
| _version_ | 1826209028280156160 |
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| author | Hanna, Roger B |
| author2 | Robert C. Miller. |
| author_facet | Robert C. Miller. Hanna, Roger B |
| author_sort | Hanna, Roger B |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. |
| first_indexed | 2024-09-23T14:16:13Z |
| format | Thesis |
| id | mit-1721.1/41637 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:16:13Z |
| publishDate | 2008 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/416372019-04-12T16:07:54Z Improving target acquisition in Web applications with link prediction Hanna, Roger B Robert C. Miller. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. Includes bibliographical references (p. 81-84). Web application users spend considerable time clicking on hyperlinks and buttons to complete frequent tasks. Individual application developers can optimize their interfaces to improve typical usage; however, no single task model will accurately reflect the needs of a wide audience of users. This thesis describes EasyLink, an automated optimization to the view of Web applications. EasyLink facilitates the common activities of individual users without explicit customization by each user. Using a record of the user's actions, EasyLink adapts the view of the page on later visits. The new view reduces unused elements by decreasing their contrast and emphasizes the most used elements by enlarging their size and ease of pointing. An evaluation of EasyLink on Gmail shows that it accurately models 64% of user behaviour, significantly reduces the time to complete simple tasks, and is preferred by users over the default view of Gmail. by Roger B. Hanna. M.Eng. 2008-05-19T16:03:50Z 2008-05-19T16:03:50Z 2007 2007 Thesis http://hdl.handle.net/1721.1/41637 219674654 eng 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. http://dspace.mit.edu/handle/1721.1/7582 84 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Hanna, Roger B Improving target acquisition in Web applications with link prediction |
| title | Improving target acquisition in Web applications with link prediction |
| title_full | Improving target acquisition in Web applications with link prediction |
| title_fullStr | Improving target acquisition in Web applications with link prediction |
| title_full_unstemmed | Improving target acquisition in Web applications with link prediction |
| title_short | Improving target acquisition in Web applications with link prediction |
| title_sort | improving target acquisition in web applications with link prediction |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/41637 |
| work_keys_str_mv | AT hannarogerb improvingtargetacquisitioninwebapplicationswithlinkprediction |