文章基本信息

标题：Fuzzy Predictable Algorithm for User Experience
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作者：Ahmed A. A. Gad-Elrab ; Mahmoud E. Embabi
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：20
期号：1
页码：50-58
DOI：10.14445/22312803/IJCTT-V20P110
出版社：Seventh Sense Research Group
摘要：Predicting and describing a user experience is a critical issue for building professional and efficient systems. The user experience introduces new research activities that focused on the interactions between products, applications, designers, and users. To achieve specific user experience goals, we need to find an optimal model for predicting user experience which includes behavior and emotions experiences in efficiently. In this paper, we propose a Fuzzy predicting categorical activitybased algorithm for predicting user experience. This proposed algorithm considers a user experience as a sequence of executed actions or operations and it can predict the most efficient user experience among a sum of experiences of a group of users or a sum of experiences of an individual users on a certain system or application based on the combination of two multicriteria decision making approaches, the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) in Fuzzy environments. The Fuzzy AHP is used to analyze the structure of a sequence of executed actions or operations selection problem and to determine weights of the criteria, while the Fuzzy TOPSIS method is used to obtain the final actions sequence ranking value. Based on this ranking method, the proposed algorithm can predict the most efficient actions sequence for a system. This new algorithm is presented as an efficient tool for predicting user experience and will be helpful scheme in building professional products and applications.
关键词：Human computer interaction; User experience design; Fuzzy sets; AHP; TOPSIS