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

Chen, Lei, Liang, Hai-Ning, Lu, Feiyu, Papangelis, Konstantinos, Man, Ka Lok and Yue, Yong (2020) Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices. HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 10 (1). 47-.

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Official URL: http://dx.doi.org/10.1186/s13673-020-00253-7

Abstract

<jats:title>Abstract</jats:title> <jats:p>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 <jats:inline-formula> <jats:alternatives> <jats:tex-math>$$\times$$</jats:tex-math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>×</mml:mo> </mml:math> </jats:alternatives> </jats:inline-formula> 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.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	Computer-supported cooperative work/learning, Collaborative visualizations, Visual analytics, User study, User engagement, Mobile tablets, IoT
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	16 Aug 2021 14:14
Last Modified:	15 Mar 2024 04:09
DOI:	10.1186/s13673-020-00253-7
Open Access URL:	https://link.springer.com/article/10.1186%2Fs13673...
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3133700