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Do you knowdis? A user study of a knowledge discovery tool for organizations

Laqua, S; Sasse, MA; Greenspan, S; Gates, C; (2011) Do you knowdis? A user study of a knowledge discovery tool for organizations. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (pp. 2887 - 2896). ACM Green open access

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Abstract

Organisations today have no reliable way of ensuring that all employees are aware of information that may be relevant to their work. In this paper we report on a 2-year project in which we have iteratively designed, developed and tested a knowledge discovery system (KnowDis) for organizations. Early stages of our study revealed that, employees do not know what is available on the corporate intranet, or files and messages they have stored. KnowDis proactively fetches relevant information and displays it in an unobtrusive form; this increases employee awareness without disrupting their tasks. We discuss and characterize knowledge workers' email usage behavior. Our main study with 28 users of KnowDis-enhanced email showed it can improve the user experience and performance on information retrieval tasks for knowledge workers.

Type: Proceedings paper
Title: Do you knowdis? A user study of a knowledge discovery tool for organizations
Event: CHI '11
ISBN-13: 9781450302289
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/1978942.1979371
Publisher version: http://dx.doi.org/10.1145/1978942.1979371
Language: English
Additional information: "© ACM 2011. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, http://dx.doi.org/10.1145/1978942.1979371"
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1308811
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