AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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2025
López-Ozieblo, R.; Jiandong, D. S.; Techanamurthy, U.; Geng, H.; Nurgissayeva, A.
Enhancing AI Literacy through Immersive VR: Evaluating Pedagogical Design and GenAI Integration Proceedings Article
In: pp. 718–723, Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 9798331511661 (ISBN).
Abstract | Links | BibTeX | Tags: AI Literacy, Artificial intelligence, Behavioral Research, Classlet platform, E-Learning, Educational settings, Emerging technologies, Engineering education, Experiential learning, GenAI avatar, GenAI Avatars, Immersive virtual reality, Interactive computer graphics, Pedagogical designs, Pedagogical Innovation, Regression analysis, Teaching, Virtual Reality, Virtual-reality environment
@inproceedings{lopez-ozieblo_enhancing_2025,
title = {Enhancing AI Literacy through Immersive VR: Evaluating Pedagogical Design and GenAI Integration},
author = {R. López-Ozieblo and D. S. Jiandong and U. Techanamurthy and H. Geng and A. Nurgissayeva},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105013538409&doi=10.1109%2FCSTE64638.2025.11092268&partnerID=40&md5=a963d754ceaa73f360d9678d346a7686},
doi = {10.1109/CSTE64638.2025.11092268},
isbn = {9798331511661 (ISBN)},
year = {2025},
date = {2025-01-01},
pages = {718–723},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {As AI continues to reshape industries, enhancing AI literacy is crucial for empowering learners to interact confidently and critically with emerging technologies. Virtual Reality (VR) offers a way to bridge theoretical knowledge with practical application but integrating VR into educational settings struggles with technical and pedagogical challenges. This study investigates how immersive VR environments can be optimized to enhance AI literacy and identifies key factors driving students' intent to adopt these technologies. Using Classlet - a VR platform that integrates interactive multimodal tasks, narrative-driven activities, and GenAI avatar interactions - we created a virtual office where learners engaged in research tasks and simulation scenarios with instructor-customized prompts. Our mixed-methods approach, involving participants from Hong Kong and Malaysia, focused on AI literacy within contexts such as Fast Fashion and European society. Regression analyses revealed that overall intent is strongly predicted by composite enjoyment, perceived performance, and behavioral control (R2 = 0.803). Post-AI literacy self-assessments were predicted by AI self-efficacy and enjoyment ( R2 = 0.421). However, female participants reported lower scores on AI efficacy (p = 0.042), suggesting baseline differences that warrant further investigation. Qualitative insights show the immersive and engaging nature of the experience while highlighting the need for further GenAI prompt designs for elaborative and bidirectional interactions. © 2025 Elsevier B.V., All rights reserved.},
keywords = {AI Literacy, Artificial intelligence, Behavioral Research, Classlet platform, E-Learning, Educational settings, Emerging technologies, Engineering education, Experiential learning, GenAI avatar, GenAI Avatars, Immersive virtual reality, Interactive computer graphics, Pedagogical designs, Pedagogical Innovation, Regression analysis, Teaching, Virtual Reality, Virtual-reality environment},
pubstate = {published},
tppubtype = {inproceedings}
}
Casas, L.; Mitchell, K.
Structured Teaching Prompt Articulation for Generative-AI Role Embodiment with Augmented Mirror Video Displays Proceedings Article
In: Spencer, S. N. (Ed.): Proc.: VRCAI - ACM SIGGRAPH Int. Conf. Virtual-Reality Contin. Appl. Ind., Association for Computing Machinery, Inc, 2025, ISBN: 9798400713484 (ISBN).
Abstract | Links | BibTeX | Tags: Artificial intelligence, Augmented Reality, Computer interaction, Contrastive Learning, Cultural icon, Experiential learning, Generative adversarial networks, Generative AI, human-computer interaction, Immersive, Pedagogical practices, Role-based, Teachers', Teaching, Video display, Virtual environments, Virtual Reality
@inproceedings{casas_structured_2025,
title = {Structured Teaching Prompt Articulation for Generative-AI Role Embodiment with Augmented Mirror Video Displays},
author = {L. Casas and K. Mitchell},
editor = {S. N. Spencer},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217997060&doi=10.1145%2F3703619.3706049&partnerID=40&md5=fb1b42dadbdc8ac44eeaafa93abc7f2c},
doi = {10.1145/3703619.3706049},
isbn = {9798400713484 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Proc.: VRCAI - ACM SIGGRAPH Int. Conf. Virtual-Reality Contin. Appl. Ind.},
publisher = {Association for Computing Machinery, Inc},
abstract = {We present a classroom enhanced with augmented reality video display in which students adopt snapshots of their corresponding virtual personas according to their teacher's live articulated spoken educational theme, linearly, such as historical figures, famous scientists, cultural icons, and laterally according to archetypal categories such as world dance styles. We define a structure of generative AI prompt guidance to assist teachers with focused specified visual role embodiment stylization. By leveraging role-based immersive embodiment, our proposed approach enriches pedagogical practices that prioritize experiential learning. © 2025 Elsevier B.V., All rights reserved.},
keywords = {Artificial intelligence, Augmented Reality, Computer interaction, Contrastive Learning, Cultural icon, Experiential learning, Generative adversarial networks, Generative AI, human-computer interaction, Immersive, Pedagogical practices, Role-based, Teachers', Teaching, Video display, Virtual environments, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}