Abstract
[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.
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References
Bailey, J.E., Pearson, S.W.: Development of a tool for measuring and analyzing computer user satisfaction. Management Science 29(5), 530–545 (1983)
Buttle, F.: SERVQUAL: review, critique, research agenda. European Journal of Marketing 30(1), 8–32 (1996)
Chin, J.P., Diehl, V.A., Norman, K.L.: Development of an instrument measuring user satisfaction of the human-computer interface. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 213–218 (1988)
Cohn, M.: User stories applied. Addison-Wesley Professional (2004)
Davis, F.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), 319–340 (1989)
Delone, W., McLean, E.: Information systems success revisited. In: Proceedings of the 35th Annual Hawaii International Conference on System Sciences, pp. 1–11 (2002)
Dutoit, A., McCall, R., Mistrik, I., Paech, B.: Rationale management in software engineering, pp. 1–29 (2006)
Fornell, C., Johnson, M., Anderson, E.: The American customer satisfaction index: nature, purpose, and findings. The Journal of Marketing 60(4), 7–18 (1996)
Joumblatt, D., Teixeira, R.: ConnectionWatch: Passive monitoring of round-trip times at end-hosts. In: Proceedings of the 2008 ACM CoNEXT Conference, p. 52 (2008)
Lauesen, S.: User Interface Design - A software engineering perspective. Pearson education limited, Harlow (2005)
Lopez, S.: Encyclopedia of positive psychology. Wiley-Blackwell (2011)
Martilla, J., James, J.: Importance-performance analysis. The Journal of Marketing 41(1), 77–79 (1977)
Moshkina, L., Endo, Y., Arkin, R.C.: Usability evaluation of an automated mission repair mechanism for mobile robot mission specification. In: Proceeding of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, HRI 2006, p. 57. ACM Press, New York (2006)
Oliver, R.: A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research 17(4), 460–469 (1980)
Oliver, R.: Satisfaction: A behavioral perspective on the customer. M.E. Sharpe (2010)
Proynova, R., Paech, B.: Do Stakeholders Understand Feature Descriptions? A Live Experiment. In: REFSQ 2012 Workshop Proceedings, pp. 265–280 (2012)
Rupp, C.: Requirements-Engineering und -Management. Hanser (2009)
Sauerwein, E., Bailom, F., Matzler, K., Hinterhuber, H.H.: The Kano model: How to delight your customers. In: International Working Seminar on Production Economics, pp. 313–327 (1996)
Venkatesh, V., Morris, M., Davis, G., Davis, F.: User acceptance of information technology: Toward a unified view. MIS Quarterly 27(3), 425–478 (2003)
Walker, M.A., Litman, D.J., Kamm, C.A., Abella, A.: PARADISE: A Framework for Evaluating Spoken Dialogue Agents. In: Proceedings of the Eighth Conference on European Chapter of the Association for Computational Linguistics, pp. 271–280 (1997)
Yamazaki, T., Miyoshi, T., Eguchi, M., Yamori, K.: A service quality coordination model bridging QoS and QoE. In: 2012 IEEE 20th International Workshop on Quality of Service, pp. 1–4 (2012)
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Proynova, R., Paech, B. (2013). Factors Influencing User Feedback on Predicted Satisfaction with Software Systems. In: Doerr, J., Opdahl, A.L. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2013. Lecture Notes in Computer Science, vol 7830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37422-7_7
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DOI: https://doi.org/10.1007/978-3-642-37422-7_7
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