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Applying recommender systems in collaboration environments

delete2015-10-01
delete20
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OA
AI
E
Ernesto Damiani
P
Paolo Ceravolo *
F
Fulvio Frati
V
Valerio Bellandi
R
Ronald Maier
I
Isabella Seeber
DOI:10.1016/j.chb.2015.02.045delete
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摘要

摘要

En 中文
Team-based organizational structures are now widely adopted for activities such as product development, customer support and process-improvement initiatives due to their increased likelihood of making better decisions and solving problems. However, team collaboration often faces pitfalls like information overload or misunderstandings due to goal misalignment. In this paper, we put forward the idea that computer-supported collaboration environments can have a positive impact on team collaboration by increasing team members' awareness, focusing attention on task execution, and fostering the frequency of interaction among team members. We study the impact of recommender systems on team processes in computer-supported collaboration environments, describing the results of two experiments that show how recommendations impact interactions in teams. Teams using recommendations spent less effort on information handling and engaged more in communication than teams without recommendations. (C) 2015 Elsevier Ltd. All rights reserved.
Keyword:
Collaboration environment
Experiment
Interaction
Recommender system
Team collaboration
Team process
Information Handling
Engagement
Work Sharing
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期刊

Computers in Human Behavior 封面图
Computers in Human Behavior
IF:
8.9
论文数:
9.1K
被引数:
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机构

B
british telecom (bt)
学者数:
112
论文数: 101
被引数: 0
U
University of Milan
学者数:
5.1W
论文数: 3.9W
被引数: 5.0W
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