AHCI RESEARCH GROUP

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proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2024

Taheri, M.; Tan, K.

Enhancing Presentation Skills: A Virtual Reality-Based Simulator with Integrated Generative AI for Dynamic Pitch Presentations and Interviews Proceedings Article

In: L.T., De Paolis; P., Arpaia; M., Sacco (Ed.): Lect. Notes Comput. Sci., pp. 360–366, Springer Science and Business Media Deutschland GmbH, 2024, ISBN: 03029743 (ISSN); 978-303171706-2 (ISBN).

Abstract | Links | BibTeX | Tags: Adversarial machine learning, AI feedback, Contrastive Learning, Digital elevation model, Dynamic pitch, Federated learning, feedback, Generative adversarial networks, Iterative practice, Language Model, Open source language, Open source software, Presentation skills, Simulation Design, Spoken words, Trial and error, Virtual environments, Virtual reality based simulators

@inproceedings{taheri_enhancing_2024,

title = {Enhancing Presentation Skills: A Virtual Reality-Based Simulator with Integrated Generative AI for Dynamic Pitch Presentations and Interviews},

author = {M. Taheri and K. Tan},

editor = {De Paolis L.T. and Arpaia P. and Sacco M.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204618832&doi=10.1007%2f978-3-031-71707-9_30&partnerID=40&md5=fd649ec5c0e2ce96593fe8a129e94449},

doi = {10.1007/978-3-031-71707-9_30},

isbn = {03029743 (ISSN); 978-303171706-2 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Lect. Notes Comput. Sci.},

volume = {15027 LNCS},

pages = {360–366},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {Presenting before an audience presents challenges throughout preparation and delivery, necessitating tools to securely refine skills securely. Interviews mirror presentations, showcasing oneself to convey qualifications. Virtual environments offer safe spaces for trial and error, crucial for iterative practice without emotional distress. This research proposes a Virtual Reality-Based Dynamic Pitch Simulation with Integrated Generative AI to effectively enhance presentation skills. The simulation converts spoken words to text, then uses AI to generate relevant questions for practice. Benefits include realistic feedback and adaptability to user proficiency. Open-source language models evaluate content, coherence, and delivery, offering personalized challenges. This approach supplements learning, enhancing presentation skills effectively. Voice-to-text conversion and AI feedback create a potent pedagogical tool, fostering a prompt feedback loop vital for learning effectiveness. Challenges in simulation design must be addressed for robustness and efficacy. The study validates these concepts by proposing a real-time 3D dialogue simulator, emphasizing the importance of continual improvement in presentation skill development. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.},

keywords = {Adversarial machine learning, AI feedback, Contrastive Learning, Digital elevation model, Dynamic pitch, Federated learning, feedback, Generative adversarial networks, Iterative practice, Language Model, Open source language, Open source software, Presentation skills, Simulation Design, Spoken words, Trial and error, Virtual environments, Virtual reality based simulators},

pubstate = {published},

tppubtype = {inproceedings}

}