Paper Info
Title
Balancing The Fluency-Consistency Tradeoff In Collaborative Information Search With A Recommender Approach
Abstract
Creative group work can be supported by collaborative search and annotation of Web resources. In this setting, it is important to help individuals both stay fluent in generating ideas of what to search next (i.e., maintain ideational fluency) and stay consistent in annotating resources (i.e., maintain organization). Based on a model of human memory, we hypothesize that sharing search results with other users, such as through bookmarks and social tags, prompts search processes in memory, which increase ideational fluency, but decrease the consistency of annotations, e.g., the reuse of tags for topically similar resources. To balance this tradeoff, we suggest the tag recommender SoMe, which is designed to simulate search of memory from user-specific tag-topic associations. An experimental field study (N=18) in a workplace context finds evidence of the expected tradeoff and an advantage of SoMe over a conventional recommender in the collaborative setting. We conclude that sharing search results supports group creativity by increasing the ideational fluency, and that SoMe helps balancing the evidenced fluency-consistency tradeoff.
Year
DOI
Venue
2018
10.1080/10447318.2017.1379240
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
Keywords
Field
DocType
Ideational fluency, tagging consistency, exploration-exploitation tradeoff, collaborative search, tag recommender, reflective search framework
Human memory,Web resource,Annotation,Information retrieval,Computer science,Fluency,Reuse,Workplace context,Group work,Human–computer interaction,Social tags
Journal
Volume
Issue
ISSN
34
6
1044-7318
Citations 
PageRank 
References 
1
0.40
17
Authors
8
Name
Order
Citations
PageRank
Paul Seitlinger1919.02
Tobias Ley229339.46
Dominik Kowald317122.05
Dieter Theiler4194.33
Ilire Hasani-Mavriqi5204.53
Sebastian Dennerlein6387.12
Elisabeth Lex720129.65
Dietrich Albert843063.65