Informing design of systems for intelligence analysis: Understanding users, user tasks, and tool usage

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Although intelligence analysts are one of the main target users of visual analytics systems, we still do not understand their work practices and methodologies well. The lack of understanding about how intelligence analysts work and how they can benefit from visual analytics systems has created a gap between tools being developed and real world practices. I argue that we need a better understanding of these analysts and their tool usage to build systems that better support their tasks and add utility to their work practices. By characterizing the analysis process and identifying leverage points for systems through empirical studies, I ultimately seek to develop a set of design guidelines and implications that can be used for building visual analytics systems for intelligence analysis.

Original languageEnglish
Title of host publicationCHI EA 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts
Pages1025-1028
Number of pages4
DOIs
Publication statusPublished - 2011 Jun 8
Event29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011 - Vancouver, BC, Canada
Duration: 2011 May 72011 May 12

Other

Other29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011
CountryCanada
CityVancouver, BC
Period11/5/711/5/12

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

Cite this

Kang, Y. A. (2011). Informing design of systems for intelligence analysis: Understanding users, user tasks, and tool usage. In CHI EA 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts (pp. 1025-1028) https://doi.org/10.1145/1979742.1979688