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<p>In today’s digital world, earlier interaction design models, fully dependent on individual designer expertise, introduce uncertainty and subjectivity. The inherent uncertainty and unpredictability of user behavior are common challenges for conventional approaches to interface design. This research addresses this uncertainty challenge by exploring the integration of the fuzzy decision support system (FDSS). The role of interaction design is analyzed to provide a more objective and systematic approach to improving user experience. Effective decision-making uses fuzzy logic to capture user experiences in interactive design environments. Thus, the research introduces fuzzy interaction design with a decision support system (FID-DSS) to improve personalized user experience based on user perception and interaction design roles. The study explores implementing fuzzy logic in the designated interaction design use-case model called the PagePals reading platform to enhance the user experience. By incorporating a fuzzy decision, the goal is to systematically evaluate and improve the interaction design roles based on varying user perceptions. From the fuzzy decision, the Mamdani inference engine verifies the user’s satisfaction level while interacting with the design platform. Thus, the aggregated output from the fuzzy system adapts its decision rules according to the varying preferences of users obtained from the questionnaire response to the design feature. The research model frequently updates its decision rules until improving the user experience with the personalized recommendation of interaction design roles. The outcome of the case study results indicated that the proposed approach could effectively enhance a personalized user experience in interaction design with this reliable fuzzy approach. The experimental outcomes show that the suggested FID-DSS model increases the interaction design efficiency by 94.5%, personalized user experience ratio of 96.3%, and accessibility ratio of 97.2% compared to other existing models.</p>

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The Role of Interaction Design Based on Fuzzy Decision Support System in Improving User Experience

  • 期刊论文

  • 发表日期：

    2025年2月20日

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  • Jian Li,
  • Bin Zhang

摘要

In today’s digital world, earlier interaction design models, fully dependent on individual designer expertise, introduce uncertainty and subjectivity. The inherent uncertainty and unpredictability of user behavior are common challenges for conventional approaches to interface design. This research addresses this uncertainty challenge by exploring the integration of the fuzzy decision support system (FDSS). The role of interaction design is analyzed to provide a more objective and systematic approach to improving user experience. Effective decision-making uses fuzzy logic to capture user experiences in interactive design environments. Thus, the research introduces fuzzy interaction design with a decision support system (FID-DSS) to improve personalized user experience based on user perception and interaction design roles. The study explores implementing fuzzy logic in the designated interaction design use-case model called the PagePals reading platform to enhance the user experience. By incorporating a fuzzy decision, the goal is to systematically evaluate and improve the interaction design roles based on varying user perceptions. From the fuzzy decision, the Mamdani inference engine verifies the user’s satisfaction level while interacting with the design platform. Thus, the aggregated output from the fuzzy system adapts its decision rules according to the varying preferences of users obtained from the questionnaire response to the design feature. The research model frequently updates its decision rules until improving the user experience with the personalized recommendation of interaction design roles. The outcome of the case study results indicated that the proposed approach could effectively enhance a personalized user experience in interaction design with this reliable fuzzy approach. The experimental outcomes show that the suggested FID-DSS model increases the interaction design efficiency by 94.5%, personalized user experience ratio of 96.3%, and accessibility ratio of 97.2% compared to other existing models.