Academic Journal
Bennefits of Decision Support Tools for Users with Differing Levels of Domain Expertese
| العنوان: | Bennefits of Decision Support Tools for Users with Differing Levels of Domain Expertese |
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| المؤلفون: | Hayes, Caroline C., Anderson, Richard A. |
| المصدر: | Proceedings of the Human Factors and Ergonomics Society Annual Meeting ; volume 50, issue 3, page 358-362 ; ISSN 1071-1813 2169-5067 |
| بيانات النشر: | SAGE Publications |
| سنة النشر: | 2006 |
| الوصف: | When designing decision support systems (DSSs) to support complex cognitive problem solving tasks, it is important to understand what classes of users (domain novices, intermediates or experts) are likely to benefit from it, and conversely, what types of benefits can one expect a given class of users (such as domain novices or experts) will derive. Unfortunately, this is not yet well understood. In this paper we examine a specific class of DSSs which assist users by generating solution options. We compared the results of this class of DSS for four domains and found that they tend to increase novices’ solution quality more than experts’, and that increase may come at the cost of more total time required to produce solutions (although this is not always the case.) Additionally, in an animal nutrition domain, we found that both experts and novices (particularly experts) tended to insist on detrimentally modifying computer generated solutions even when those solutions started out with very high quality. Lastly we discuss possible explanations and implications for DSS design. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1177/154193120605000331 |
| الاتاحة: | https://doi.org/10.1177/154193120605000331 https://journals.sagepub.com/doi/pdf/10.1177/154193120605000331 |
| Rights: | https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| رقم الانضمام: | edsbas.45E44C5 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1177/154193120605000331 |
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