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| ASCII Text | x | ||
| Shane T. Mueller, Gary Klein, "Improving Users' Mental Models of Intelligent Software Tools," IEEE Intelligent Systems, vol. 26, no. 2, pp. 77-83, March/April, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.2011.32, author = {Shane T. Mueller and Gary Klein}, title = {Improving Users' Mental Models of Intelligent Software Tools}, journal ={IEEE Intelligent Systems}, volume = {26}, number = {2}, issn = {1541-1672}, year = {2011}, pages = {77-83}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2011.32}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Improving Users' Mental Models of Intelligent Software Tools IS - 2 SN - 1541-1672 SP77 EP83 EPD - 77-83 A1 - Shane T. Mueller, A1 - Gary Klein, PY - 2011 KW - intelligent systems KW - intelligent software KW - use cases KW - mental models KW - usability KW - human-computer interaction VL - 26 JA - IEEE Intelligent Systems ER - | |||
Usability problems can persist even for software designed with human-centered design principles, especially when the software replaces or augments intelligent human capabilities. In these cases, users might have incorrect expectations about what the automated system is doing, and training and guides are necessary to help them understand the software's workings. Usability problems can often be overcome by trial-and-error experience or when communities pass down information to newer users, but the authors believe that the genuine cognitive challenges to forming functional and accurate mental models can be formalized, documented, and "trained in." This article describes the Experiential User Guide (EUG), a concept designed to address these challenges.
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