| C. Papakostas, C. Troussas, A. Krouska, Ph. Mylonas, C. Sgouropoulou |
| Personalized User Experience and Engagement in Interactive Mobile Augmented Reality Software Through Fuzzy Weights |
| Lecture Notes in Business Information Processing, Springer, Vol. 543, May 2025 |
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ABSTRACT
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| The integration of digital content into the real world through mobile augmented reality (AR) systems presents captivating prospects, yet user engagement and experience within such environments are largely contingent upon individual computer skills, which can vary significantly among users, thereby influencing their proficiency in utilizing this technology. This paper aims to bridge this gap by examining the impact of users¢ computer skills on interactions within mobile AR settings. To this end, a novel fuzzy logic-based model is introduced to evaluate and refine users¢ computer skills within the realm of mobile AR systems. By modeling users¢ computer aptitude, the system is capable of delivering tailored assistive prompts and feedback. These prompts are strategically aligned with established fuzzy weights, thereby augmenting users¢ interactions within the mobile AR sphere. The proposed methodology is seamlessly integrated into a personalized mobile AR platform designed for spatial ability training. Evaluation findings reveal promising outcomes, underscoring the substantial potential of fuzzy logic modeling to elevate user experiences and propel advancements in mobile augmented reality technology.
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| 26 May , 2025 |
| C. Papakostas, C. Troussas, A. Krouska, Ph. Mylonas, C. Sgouropoulou, "Personalized User Experience and Engagement in Interactive Mobile Augmented Reality Software Through Fuzzy Weights", Lecture Notes in Business Information Processing, Springer, Vol. 543, May 2025 |
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