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Identification of human-interaction touch points for intelligence analysis information fusion systems

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

This paper presents recommended human-interaction touch points for a data fusion system designed to support intelligence analysis. Touch points were identified to allow analysts to best leverage the fusion system by mapping potential system capabilities to situations where factors that contribute to analysis task complexity are likely to be present. While further effort is required to refine capabilities mappings and to define specifics of the touch points, focusing on these interactions is expected to facilitate the appropriate calibration of analyst perceptions towards the system's true capabilities leading to appropriate reliance and in turn successful integration into analyst workflows.

Original languageEnglish
Title of host publicationFusion 2011 - 14th International Conference on Information Fusion
PublisherIEEE Computer Society
ISBN (Print)9781457702679
StatePublished - 2011

Publication series

NameFusion 2011 - 14th International Conference on Information Fusion

Keywords

  • Data fusion
  • HCI
  • HumanComputer interaction
  • Intelligence analysis

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