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Evaluating user interaction with a web-based group decision support system: A comparison between two clustering methods
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DOI：10.1016/j.dss.2015.07.001.png)
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Task-Technology Fit theory and the Technology Acceptance Model identify system utilization as an important indicator for the performance of complex software systems. Yet, empirical evaluations of user interaction with group decision support systems are scarce and often methodologically underdeveloped. For this study we employed an exploratory evaluation of user interaction in the context of web-based group decision support systems. Specifically, we used information-rich server logs captured through a web-based platform for participatory transportation planning to identify groups of users with similar use patterns. The groups were derived through multiple sequence alignment and hierarchical cluster analysis based on varying user activity measures. Subsequently, we assessed the reliability of the classifications obtained from the two clustering methods. Our results indicate limited reliability of classifications of activity sequences through multiple sequence alignment analysis and robust groupings from hierarchical cluster analysis for user activity initiations and durations. The presented work contributes a novel methodological framework for the evaluation of complex software systems that extends beyond the common approach of soliciting user satisfaction. (C) 2015 Elsevier B.V. All rights reserved.
Keyword:
Web-based group decision support systems
Human-computer interaction
Server log analysis
Use pattern evaluation
Cluster analysis
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PERCEIVED USEFULNESS, PERCEIVED EASE OF USE, AND USER ACCEPTANCE OF INFORMATION TECHNOLOGY感知有用性、感知易用性和用户对信息技术的接受度
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