TY - JOUR
T1 - Collaborative behavior, performance and engagement with visual analytics tasks using mobile devices
AU - Chen, Lei
AU - Liang, Hai Ning
AU - Lu, Feiyu
AU - Papangelis, Konstantinos
AU - Man, Ka Lok
AU - Yue, Yong
N1 - Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12
Y1 - 2020/12
N2 - 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 × 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.
AB - 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 × 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.
KW - Collaborative visualizations
KW - Computer-supported cooperative work/learning
KW - IoT
KW - Mobile tablets
KW - User engagement
KW - User study
KW - Visual analytics
UR - http://www.scopus.com/inward/record.url?scp=85096414952&partnerID=8YFLogxK
U2 - 10.1186/s13673-020-00253-7
DO - 10.1186/s13673-020-00253-7
M3 - Article
AN - SCOPUS:85096414952
SN - 2192-1962
VL - 10
JO - Human-centric Computing and Information Sciences
JF - Human-centric Computing and Information Sciences
IS - 1
M1 - 47
ER -