Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs - Inria - Institut national de recherche en sciences et technologies du numérique
Journal Articles IEEE Transactions on Visualization and Computer Graphics Year : 2017

Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs

Jian Zhao
  • Function : Author
  • PersonId : 986364
Michael Glueck
  • Function : Author
  • PersonId : 983038
Petra Isenberg
Fanny Chevalier
Azam Khan
  • Function : Author
  • PersonId : 983040

Abstract

During asynchronous collaborative analysis, handoff of partial findings is challenging because externalizations produced by analysts may not adequately communicate their investigative process. To address this challenge, we developed techniques to automatically capture and help encode tacit aspects of the investigative process based on an analyst’s interactions, and streamline explicit authoring of handoff annotations. We designed our techniques to mediate awareness of analysis coverage, support explicit communication of progress and uncertainty with annotation, and implicit communication through playback of investigation histories. To evaluate our techniques, we developed an interactive visual analysis system, KTGraph, that supports an asynchronous investigative document analysis task. We conducted a two-phase user study to characterize a set of handoff strategies and to compare investigative performance with and without our techniques. The results suggest that our techniques promote the use of more effective handoff strategies, help increase an awareness of prior investigative process and insights, as well as improve final investigative outcomes.
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Dates and versions

hal-01565560 , version 1 (18-12-2017)

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Jian Zhao, Michael Glueck, Petra Isenberg, Fanny Chevalier, Azam Khan. Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs. IEEE Transactions on Visualization and Computer Graphics, 2017, 24 (1), pp.340-350. ⟨10.1109/TVCG.2017.2745279⟩. ⟨hal-01565560⟩
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