TY - JOUR
T1 - Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach
AU - Seitlinger, Paul
AU - Ley, Tobias
AU - Kowald, Dominik
AU - Theiler, Dieter
AU - Hasani-Mavriqi, Ilire
AU - Dennerlein, Sebastian
AU - Lex, Elisabeth
AU - Albert, Dietrich
N1 - Funding Information:
This work was supported by the Austrian Science Fund (FWF); [P25593-G22, P27709-G22]; and by the European Union projects Learning Layers; [318209]; CEITER; [669074].
Publisher Copyright:
© 2017 Paul Seitlinger, Tobias Ley, Dominik Kowald, Dieter Theiler, Ilire Hasani-Mavriqi, Sebastian Dennerlein, Elisabeth Lex, and Dietrich Albert. Published by Taylor and Francis.
PY - 2018/6/3
Y1 - 2018/6/3
N2 - 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.
AB - 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.
KW - Collaborative search
KW - Exploration–exploitation tradeoff
KW - Ideational fluency
KW - Reflective search framework
KW - Tag recommender
KW - Tagging consistency
UR - http://www.scopus.com/inward/record.url?scp=85031121781&partnerID=8YFLogxK
U2 - 10.1080/10447318.2017.1379240
DO - 10.1080/10447318.2017.1379240
M3 - Article
AN - SCOPUS:85031121781
SN - 1044-7318
VL - 34
SP - 557
EP - 575
JO - International journal of human-computer interaction
JF - International journal of human-computer interaction
IS - 6
ER -