Abstract
Creating adaptive systems becomes increasingly attractive in the context of specific groups of users, such as agricultural users. This group of users seems to differ with respect to information processing, knowledge management and learning styles. In this work we aim to offer directions toward increasing decision support systems usability, by tailoring toward user learning styles. The results show that decision support systems need to be redesigned toward providing agricultural users with a more efficient time management and study environment, and facilitating group interaction.
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Keywords
- Decision Support System
- Management Information System
- Learning Style
- Management Information System
- Task Characteristic
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Măruşter, L., Faber, N.R., van Haren, R.J. (2009). Personalization for Specific Users: Designing Decision Support Systems to Support Stimulating Learning Environments. In: Salvendy, G., Smith, M.J. (eds) Human Interface and the Management of Information. Information and Interaction. Human Interface 2009. Lecture Notes in Computer Science, vol 5618. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02559-4_72
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DOI: https://doi.org/10.1007/978-3-642-02559-4_72
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