Title :

Supporting Handoff in Asynchronous Collaborative Sensemaking Using Knowledge-Transfer Graphs

Author(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

Journal title :

IEEE Transactions on Visualization and Computer Graphics

Pages :

340-350

Publisher :

Institute of Electrical and Electronics Engineers

Publication date :

2017

ISSN :

1077-2626

English keyword(s) :

handoff
structured externalizations
interactive visual analysis
Collaboration
handover
sensemaking

HAL domain(s) :

Sciences cognitives/Informatique

English abstract : [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, ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL