Authors:
Christos Troussas
;
Christos Papakostas
and
Cleo Sgouropoulou
Affiliation:
Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Greece
Keyword(s):
Fuzzy Logic, Mobile Augmented Reality, Spatial Ability Training, Intelligent Tutoring System, Computer Skills, Feedback, Assistive Messages, Personalization.
Abstract:
Mobile augmented reality (AR) systems offer exciting opportunities for blending digital content with the real world. However, engagement in mobile AR environments mainly relies on users’ computer skills, which vary among users and impact their ability to utilize this technology. This research addresses this gap in understanding the influence of users’ computer skills on interactions in mobile AR. In view of the above, this paper presents a fuzzy logic-based model to assess and refine users’ computer skills in the context of mobile AR systems. Modelling the users’ computer skills, the system is responsible for providing personalized assistive messages and feedback. These messages are designed to align with the fuzzy weights that have been established, enhancing users’ interactions within the mobile AR environment. The presented approach is integrated in a personalized mobile AR system for spatial ability training. The evaluation results demonstrate a highly positive outlook. A major c
onclusion of this work is that fuzzy logic modelling has significant potential to enhance user experiences and drive advancements in mobile augmented reality technology.
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