Supporting Handoff in Asynchronous ...
Type de document :
Article dans une revue scientifique: Article original
Titre :
Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs
Auteur(s) :
Zhao, Jian [Auteur]
FX Palo Alto Laboratory [FXPAL]
Glueck, Michael [Auteur]
Autodesk Research
Isenberg, Petra [Auteur]
Analysis and Visualization [AVIZ]
Chevalier, Fanny [Auteur]
Computing tools to empower users [MJOLNIR]
Khan, Azam [Auteur]
Autodesk Research
FX Palo Alto Laboratory [FXPAL]
Glueck, Michael [Auteur]
Autodesk Research
Isenberg, Petra [Auteur]
Analysis and Visualization [AVIZ]
Chevalier, Fanny [Auteur]

Computing tools to empower users [MJOLNIR]
Khan, Azam [Auteur]
Autodesk Research
Titre de la revue :
IEEE Transactions on Visualization and Computer Graphics
Pagination :
340-350
Éditeur :
Institute of Electrical and Electronics Engineers
Date de publication :
2017
ISSN :
1077-2626
Mot(s)-clé(s) en anglais :
handoff
structured externalizations
interactive visual analysis
Collaboration
handover
sensemaking
structured externalizations
interactive visual analysis
Collaboration
handover
sensemaking
Discipline(s) HAL :
Sciences cognitives/Informatique
Résumé en anglais : [en]
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, ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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