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Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices

delete2020-11-22
delete11
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OA
AI
陈蕾 封面图
陈蕾 (Lei Chen)
H
Hai‐Ning Liang *
F
Feiyu Lu
K
Konstantinos Papangelis
K
Ka Lok Man
Y
Yong Yue
DOI:10.1186/s13673-020-00253-7delete
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摘要

摘要

En 中文
Interactive visualizations are external tools that can support users' exploratory activities. Collaboration can bring benefits to the exploration of visual representations or visualizations. This research investigates the use of co-located collaborative visualizations in mobile devices, how users working with two different modes of interaction and view (Shared or Non-Shared) and how being placed at various position arrangements (Corner-to-Corner, Face-to-Face, and Side-by-Side) affect their knowledge acquisition, engagement level, and learning efficiency. A user study is conducted with 60 participants divided into 6 groups (2 modes x 3 positions) using a tool that we developed to support the exploration of 3D visual structures in a collaborative manner. Our results show that the shared control and view version in the Side-by-Side position is the most favorable and can improve task efficiency. In this paper, we present the results and a set of recommendations that are derived from them.
Keyword:
Computer-supported cooperative work/learning
Collaborative visualizations
Visual analytics
User study
User engagement
Mobile tablets
IoT

期刊

Human-centric Computing and Information Sciences 封面图
Human-centric Computing and Information Sciences
IF:
3
论文数:
555
被引数:
1.4K

机构

R
Rochester Institute of Technology
学者数:
3.8K
论文数: 3.3K
被引数: 45
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