Abstract
We present in this paper a brief outline of a general methodology that classifies computer users attitudes by fuzzifying information elicited in the course of human interaction with some system or machine. We illustrate how the methodology can combine different kinds of emphasis in Human-Computer Interaction research by analysing and discussing a concrete example: the attitudes of a subject towards a set of activities.
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© 1990 Kluwer Academic Publishers
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Kallala, M., Bellin, W. (1990). A Fuzzy Classification of Computer Users Attitudes: A Case Study. In: Janko, W.H., Roubens, M., Zimmermann, HJ. (eds) Progress in Fuzzy Sets and Systems. Theory and Decision Library, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2019-4_8
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DOI: https://doi.org/10.1007/978-94-009-2019-4_8
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-7405-6
Online ISBN: 978-94-009-2019-4
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