Conference proceeding
Development of Decision Rationale in Complex Group Decision Making
CHI2009: PROCEEDINGS OF THE 27TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1-4, pp 1341-1350
01 Jan 2009
Abstract
This study explores the characteristics of rationale development in a complex group decision making task and considers design implications for better supporting rationale development in group decision making. Twelve three-person, multi-role teams performed three instances of a collaborative decision making task with physical maps. We used rhetorical structure theory to analyze the structure of their decision making discourse. We found that groups begin their reasoning processing by stating and relating information and finish their reasoning through a point-counterpoint discussion. We also found that established groups reduced their need to analyze information during the last moments of a decision. Implications for the design of group decision support systems to encourage rationale development are presented.
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Details
- Title
- Development of Decision Rationale in Complex Group Decision Making
- Creators
- Helena M. Mentis - Pennsylvania State UniversityPaula M. Bach - Pennsylvania State UniversityBlaine Hoffman - Pennsylvania State UniversityMary Beth Rosson - Pennsylvania State UniversityJohn M. Carroll - Pennsylvania State University
- Contributors
- S Greenberg (Editor)S E Hudson (Editor)K Hinkley (Editor)M RingelMorris (Editor)D R Olsen (Editor)
- Publication Details
- CHI2009: PROCEEDINGS OF THE 27TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1-4, pp 1341-1350
- Publisher
- Assoc Computing Machinery
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000265679301019
- Scopus ID
- 2-s2.0-84889067742
- Other Identifier
- 991021916516704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Information Science & Library Science
- Management
- Social Issues