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Research on group awareness of networked collaboration within the design team and between teams
Affiliation:1. Laboratory for Artificial Intelligence in Design, Hong Kong, China;2. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China;1. Engineering of Systems and Environment, University of Virginia, Charlottesville, VA 22903, United States;2. University of California Los Angeles, United States;1. State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China;2. College of Mechanical Engineering, Chongqing University, Chongqing 400044, China;3. School of Intelligent Manufacturing Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, China
Abstract:Group awareness is the critical content of collaboration in a networked collaborative design team, and it is a meaningful way to study teamwork efficiency. However, existing methods that describe awareness information are not comprehensive. They all set an ideal collaborative environment of the single role and single activity, ignoring the bidirectional and overlapping of the collaboration process. To meet this gap, a novel group awareness method for the networked collaboration design team is proposed in this paper from the actual collaborative process. Firstly, the awareness information granularity in the joint work of the networked collaborative design team is described in detail, and the group awareness model is established. Then, the intra- and inter-team collaboration of networked collaborative design team is quantified, and correspondingly, combined with the degree of cooperation between members, a method for solving the group awareness ability of intra- and inter-team association by adopting awareness calculation is presented. Last, to illustrate the feasibility of the suggested approach, a vehicle interior collaborative design task is taken as an example. This study can provide practical guidance for a related design service platform to optimize team collaboration efficiency and select team members objectively and fairly.
Keywords:Group awareness  Networked collaborative design team  Awareness computing  Collaborative design and manufacturing
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