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Task-Dependent Group Coupling and Territorial Behavior on Large Tiled Displays

  • Large display environments are highly suitable for immersive analytics. They provide enough space for effective co-located collaboration and allow users to immerse themselves in the data. To provide the best setting - in terms of visualization and interaction - for the collaborative analysis of a real-world task, we have to understand the group dynamics during the work on large displays. Among other things, we have to study, what effects different task conditions will have on user behavior. In this paper, we investigated the effects of task conditions on group behavior regarding collaborative coupling and territoriality during co-located collaboration on a wall-sized display. For that, we designed two tasks: a task that resembles the information foraging loop and a task that resembles the connecting facts activity. Both tasks represent essential sub-processes of the sensemaking process in visual analytics and cause distinct space/display usage conditions. The information foraging activity requires the user to work with individual data elements to look into details. Here, the users predominantly occupy only a small portion of the display. In contrast, the connecting facts activity requires the user to work with the entire information space. Therefore, the user has to overview the entire display. We observed 12 groups for an average of two hours each and gathered qualitative data and quantitative data. During data analysis, we focused specifically on participants' collaborative coupling and territorial behavior. We could detect that participants tended to subdivide the task to approach it, in their opinion, in a more effective way, in parallel. We describe the subdivision strategies for both task conditions. We also detected and described multiple user roles, as well as a new coupling style that does not fit in either category: loosely or tightly. Moreover, we could observe a territory type that has not been mentioned previously in research. In our opinion, this territory type can affect the collaboration process of groups with more than two collaborators negatively. Finally, we investigated critical display regions in terms of ergonomics. We could detect that users perceived some regions as less comfortable for long-time work.

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Metadaten
Document Type:Article
Language:English
Author:Anton Sigitov, André Hinkenjann, Ernst Kruijff, Oliver Staadt
Parent Title (English):Frontiers in Robotics and AI
Volume:6
Article Number:128
Number of pages:17
ISSN:2296-9144
URN:urn:nbn:de:hbz:1044-opus-46668
DOI:https://doi.org/10.3389/frobt.2019.00128
PMID:https://pubmed.ncbi.nlm.nih.gov/33501143
Publisher:Frontiers Media
Place of publication:Lausanne
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2019/11/26
Copyright:© 2019 Sigitov, Hinkenjann, Kruijff and Staadt. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Keyword:Group behavior analysis; Immersive analytics; Large display interaction; sensemaking; user study
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren
Entry in this database:2019/11/14
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International