Title
A Fuzzy-Based Approach for Improving Team Collaboration in MobilePeerDroid Mobile System: Effects of Time Delay on Collaboration Work.
Abstract
Mobile computing has many application domains. One important domain is that of mobile applications supporting collaborative work, such as, eLearning and eHealth. In this work we present a distributed event-based awareness approach for P2P groupware systems. Unlike centralized approaches, several issues arise and need to be addressed for awareness in P2P groupware systems, due to their large-scale, dynamic and heterogeneous nature. In such applications, a team of people collaborate online using smartphones to accomplish a common goal, such as a project development in e-Business. Often, however, the members of the team has to take decision or solve conflicts in project development (such as delays, changes in project schedule, task assignment, etc.) and therefore members have to vote. Voting can be done in many ways, and in most works in the literature consider majority voting, in which every member of the team accounts on for a vote. In this work, we consider a more realistic case where a vote does not account equal for every member, but accounts on according to member's active involvement and reliability in the groupwork. We present a voting model, that we call qualified voting, in which every member has a voting score according to three parameters. Then, we use fuzzy based model to check the effect of time delay on collaboration work. This model will be implemented in MobilePeerDroid system to give more realistic view of the collaborative activity and better decisions for the groupwork, while encouraging peers to increase their reliability in order to increase their voting score.
Year
DOI
Venue
2017
10.1007/978-3-319-65521-5_2
ADVANCES IN NETWORK-BASED INFORMATION SYSTEMS, NBIS-2017
Field
DocType
Volume
Mobile computing,Schedule (project management),Voting,Computer science,Collaborative software,Fuzzy logic,Knowledge management,eHealth,Majority rule,Distributed computing,Process management,Project management
Conference
7
ISSN
Citations 
PageRank 
2367-4512
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
Yi Liu116226.51
Kosuke Ozera22211.17
Keita Matsuo321255.01
Leonard Barolli41179144.22