AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2025

Li, Y.; Wang, S.; Sun, X.; Yang, L.; Zhu, T.; Chen, Y.; Zhao, K.; Zhao, Y.; Li, M.; Lc, R.

Reality as Imagined: Design and Evaluation of a TeleAbsence-Driven Extended Reality Experience for (Re) Interpreting Urban Cultural Heritage Narratives Across Time Journal Article

In: International Journal of Human-Computer Interaction, 2025, ISSN: 10447318 (ISSN); 15327590 (ISSN), (Publisher: Taylor and Francis Ltd.).

Abstract | Links | BibTeX | Tags: Across time, Artificial intelligence, Computer interaction, Cultural heritages, Design and evaluations, Extended reality, Generative AI, Hong-kong, Human computer interaction, human–computer interaction, Immersive, Mixed reality, TeleAbsence, Urban cultural heritage narrative, Urban cultural heritage narratives

@article{li_reality_2025,

title = {Reality as Imagined: Design and Evaluation of a TeleAbsence-Driven Extended Reality Experience for (Re) Interpreting Urban Cultural Heritage Narratives Across Time},

author = {Y. Li and S. Wang and X. Sun and L. Yang and T. Zhu and Y. Chen and K. Zhao and Y. Zhao and M. Li and R. Lc},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105016721876&doi=10.1080%2F10447318.2025.2554296&partnerID=40&md5=1ecd1a643f4ba85ae08d549db04a8c9b},

doi = {10.1080/10447318.2025.2554296},

issn = {10447318 (ISSN); 15327590 (ISSN)},

year  = {2025},

date = {2025-01-01},

journal = {International Journal of Human-Computer Interaction},

abstract = {Visitors to Urban Cultural Heritage (UCH) often encounter official narratives but not the imaginations and relationships shaping its intangible aspects. Existing immersive experiences emphasize historical realities, overlooking personal and collective imaginations that shift with rapid development. To address this, we designed an Extended Reality (XR) experience around eight Hong Kong landmarks, enabling transitions between virtual and mixed-reality environments where users explore UCH narratives across past, present, and future. These narratives integrate (1) historical documentation with 360° visualizations and (2) images created in workshops supported by Generative AI tools. A mixed-method study with 24 participants examined their experiences and reflections. Results revealed deep immersion in both real and imagined worlds, as well as personal reinterpretations of UCH. This work demonstrates how XR can blend reality and imagination within one immersive experience and highlights design implications for archiving human imagination as an intangible form of cultural heritage. © 2025 Elsevier B.V., All rights reserved.},

note = {Publisher: Taylor and Francis Ltd.},

keywords = {Across time, Artificial intelligence, Computer interaction, Cultural heritages, Design and evaluations, Extended reality, Generative AI, Hong-kong, Human computer interaction, human–computer interaction, Immersive, Mixed reality, TeleAbsence, Urban cultural heritage narrative, Urban cultural heritage narratives},

pubstate = {published},

tppubtype = {article}

}

2024

Lee, L. -K.; Chan, E. H.; Tong, K. K. -L.; Wong, N. K. -H.; Wu, B. S. -Y.; Fung, Y. -C.; Fong, E. K. S.; U, U.; Wu, N. -I.

Utilizing Virtual Reality and Generative AI Chatbot for Job Interview Simulations Proceedings Article

In: Chui, K. T.; Hui, Y. K.; Yang, D.; Lee, L. -K.; Wong, L. -P.; Reynolds, B. L. (Ed.): Proc. - Int. Symp. Educ. Technol., ISET, pp. 209–212, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 9798350361414 (ISBN).

Abstract | Links | BibTeX | Tags: chatbot, Chatbots, Computer interaction, Computer simulation languages, Generative adversarial networks, Generative AI, Hong-kong, Human computer interaction, ITS applications, Job interview simulation, Job interviews, Performance, Science graduates, User friendliness, Virtual environments, Virtual Reality

@inproceedings{lee_utilizing_2024,

title = {Utilizing Virtual Reality and Generative AI Chatbot for Job Interview Simulations},

author = {L. -K. Lee and E. H. Chan and K. K. -L. Tong and N. K. -H. Wong and B. S. -Y. Wu and Y. -C. Fung and E. K. S. Fong and U. U and N. -I. Wu},

editor = {K. T. Chui and Y. K. Hui and D. Yang and L. -K. Lee and L. -P. Wong and B. L. Reynolds},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206582338&doi=10.1109%2FISET61814.2024.00048&partnerID=40&md5=c099b8565f348c8bf250c0a9e62cf864},

doi = {10.1109/ISET61814.2024.00048},

isbn = {9798350361414 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Proc. - Int. Symp. Educ. Technol., ISET},

pages = {209–212},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Stress and anxiety experienced by interviewees, particularly fresh graduates, would significantly impact their performance in job interviews. Due to the increased affordability and user-friendliness of virtual reality (VR), VR has seen a surge in its application within the educational sector. This paper presents the design and implementation of a job interview simulation system, leveraging VR and a generative AI chatbot to provide an immersive environment for computer science graduates in Hong Kong. The system aims to help graduates practice and familiarize themselves with various real-world scenarios of a job interview in English, Mandarin, and Cantonese, tailored to the unique language requirements of Hong Kong's professional environment. The system comprises three core modules: a mock question and answer reading module, an AI speech analysis module, and a virtual interview module facilitated by the generative AI chatbot, ChatGPT. We anticipate that the proposed simulator will provide valuable insights to education practitioners on utilizing VR and generative AI for job interview training, extending beyond computer science graduates. © 2024 Elsevier B.V., All rights reserved.},

keywords = {chatbot, Chatbots, Computer interaction, Computer simulation languages, Generative adversarial networks, Generative AI, Hong-kong, Human computer interaction, ITS applications, Job interview simulation, Job interviews, Performance, Science graduates, User friendliness, Virtual environments, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}