05372nam a22006735i 4500 978-3-031-52005-1 DE-He213 20251030111407.0 cr nn 008mamaa 240130s2024 sz | s |||| 0|eng d 9783031520051 978-3-031-52005-1 10.1007/978-3-031-52005-1 doi QA76.9.V5 QA76.9.A94 UYV bicssc COM057000 bisacsh UYV thema UYW thema Papakostas, Christos. author. aut http://id.loc.gov/vocabulary/relators/aut 70163 Special Topics in Artificial Intelligence and Augmented Reality [electronic resource] : The Case of Spatial Intelligence Enhancement / by Christos Papakostas, Christos Troussas, Cleo Sgouropoulou. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 176 p. 57 illus., 42 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Cognitive Technologies, 2197-6635 Foreword -- Preface -- 1. Introduction and Overview of AI-enhanced Augmented Reality in Education -- 2. Review of the Literature on AI-enhanced Augmented Reality in Education -- 3. AI-driven and SOLO-based Domain Knowledge Modeling in PARSAT AR Software -- 4. Fuzzy Logic for modeling the Knowledge of Users in PARSAT AR Software -- 5. Artificial Intelligence-enhanced PARSAT AR Software: Architecture and Implementation -- 6. Multi-Model Evaluation of the Artificial Intelligence-Enhanced PARSAT AR Software -- 7. Conclusions of AI-driven AR in Education. This monograph explores the synergy of Artificial Intelligence (AI), Augmented Reality (AR) and cognitive processes to enhance spatial abilities — an integral aspect of cognitive development. The ability to comprehend and manipulate spatial information is not only fundamental to our understanding of the physical world but also plays a pivotal role in numerous academic and professional fields. Recognizing the profound impact of spatial ability on scientific disciplines and educational achievement, this monograph takes on the challenge of enhancing spatial skills among users. The authors present the design and development of a mobile training system that incorporates AR features to enhance learners’ spatial ability. Involving mental generation, transformation, and rotation of visual images for understanding spatial relationships, spatial ability is closely linked to success in various scientific disciplines and educational pursuits. While spatial visualization skillstests are available, this monograph takes a unique approach by focusing on developing targeted interventions to improve spatial ability. It aims to unlock new avenues for cognitive growth and dive into the untapped potential within the realm of spatial intelligence. Beyond its emphasis on spatial ability enhancement, this monograph goes above and beyond traditional approaches by integrating AI techniques into the training system. As such, it aims to provide personalized and adaptive learning experiences for learners. The training system, through intelligent techniques, dynamically analyzes individual learners’ strengths, weaknesses, and progress, tailoring content and challenges to their specific needs. This effort establishes a new frontier in educational technology, offering a groundbreaking solution that not only augments spatial ability development but also showcases the transformative potential of AI in reshaping the learning experience. The book is a valuable resource for researchers, educators, developers and technology enthusiasts, as it exemplifies the profound impact of AI and AR in shaping the future of online learning experiences. Virtual reality. Augmented reality. 66815 Artificial intelligence. 58441 User interfaces (Computer systems). 64688 Human-computer interaction. 64854 Multiagent systems. 70164 Expert systems (Computer science). 67822 Virtual and Augmented Reality. 66818 Artificial Intelligence. 58441 User Interfaces and Human Computer Interaction. 66577 Intelligence Augmentation. 70165 Multiagent Systems. 70166 Knowledge Based Systems. 67823 Troussas, Christos. author. aut http://id.loc.gov/vocabulary/relators/aut 70167 Sgouropoulou, Cleo. author. aut http://id.loc.gov/vocabulary/relators/aut 70168 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031520044 Printed edition: 9783031520068 Printed edition: 9783031520075 Cognitive Technologies, 2197-6635 70169 https://doi.org/10.1007/978-3-031-52005-1 ZDB-2-SCS ZDB-2-SXCS 57374 57374