Development of an instrument measuring user satisfaction of the human-computer interface
CHI '88 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Systems Success Revisited
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 8 - Volume 8
PARADISE: a framework for evaluating spoken dialogue agents
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
User Stories Applied: For Agile Software Development
User Stories Applied: For Agile Software Development
Usability evaluation of an automated mission repair mechanism for mobile robot mission specification
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Rationale Management in Software Engineering
Rationale Management in Software Engineering
User Interface Design: A Software Engineering Perspective
User Interface Design: A Software Engineering Perspective
ConnectionWatch: passive monitoring of round-trip times at end-hosts
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
A service quality coordination model bridging QoS and QoE
Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
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[Context and motivation] Requirements engineers need feedback from users on planned system features. The simplest way is to present feature descriptions to the users and ask for their opinion. [Problem/question] The feedback users can give in such a situation is not always accurate. The mechanisms which cause a mismatch between actual and predicted user satisfaction are currently not well understood. [Method/results] We used the results from a previous study we conducted, together with insights on consumer satisfaction from marketing, to create a working model of predicted user satisfaction. We validated the model with a new, more extensive empirical study. [Contribution] We present a model of predicted user satisfaction. Unlike the existing models of user satisfaction for software systems, it can be used for gathering feedback before a user has had experience with a software system. Our study shows that measuring predicted satisfaction can deliver a good approximation of actual satisfaction, although there is some prediction discrepancy which could be reduced by choosing the right combination of influence factors.