Title | ||
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ScreenTrack: Using a Visual History of a Computer Screen to Retrieve Documents and Web Pages |
Abstract | ||
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Computers are used for various purposes and frequent context switch is inevitable. In this setting, retrieving the documents, files, and web pages that have been used for a task can be a challenge. While modern applications provide a history of recent documents for users to resume work, this is not sufficient to retrieve all the digital resources relevant to a given primary document. The histories currently available - file names, web page titles, or URLs - does not take into account the complex dependencies that exist among resources across applications. To address this problem, we tested the idea of using a visual history of a computer screen to retrieve digital resources within a few days through the development of ScreenTrack. ScreenTrack is software that captures screenshots of a computer at regular intervals. It then generates a time-lapse video from the captured screenshots and lets users retrieve a recently opened document or web page from a screenshot that they recognize from its visuals. Through a controlled user study, it was found that participants were able to retrieve requested information more quickly with ScreenTrack than under the control condition. A follow-up study showed that the participants used ScreenTrack to retrieve previously used resources, in order to resume interrupted tasks.
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Year | DOI | Venue |
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2020 | 10.1145/3313831.3376753 | CHI '20: CHI Conference on Human Factors in Computing Systems
Honolulu
HI
USA
April, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-6708-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
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Hu Donghan | 1 | 0 | 0.34 |
Won S. Lee | 2 | 1 | 0.96 |