AHCI RESEARCH GROUP

Publications

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

OUR RESEARCH

Scientific Publications

How to

Here you can find the complete list of our publications.
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.

Show all

2025

Shao, Y.; You, W.; Zheng, Z.; Lu, Y.; Yang, C.; Zhou, Z.

CONDA: Introducing Context-Aware Decision Making Assistant in Virtual Reality for Interior Renovation Journal Article

In: International Journal of Human-Computer Interaction, vol. 41, no. 20, pp. 13239–13255, 2025, ISSN: 10447318 (ISSN); 15327590 (ISSN), (Publisher: Taylor and Francis Ltd.).

Abstract | Links | BibTeX | Tags: Computing formula, Context-aware decision makings, Contextual cue, Decision making, Decision-Making, Decisions makings, Design solutions, Driving demand, Interior Design, Interior designs, Interiors (building), Language Model, Large language model, large language models, Quality of life, Virtual environments, Virtual Reality

@article{shao_conda_2025,

title = {CONDA: Introducing Context-Aware Decision Making Assistant in Virtual Reality for Interior Renovation},

author = {Y. Shao and W. You and Z. Zheng and Y. Lu and C. Yang and Z. Zhou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-86000228595&doi=10.1080%2F10447318.2025.2470285&partnerID=40&md5=0801b1854ec172c10a0cb374623cac77},

doi = {10.1080/10447318.2025.2470285},

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

year  = {2025},

date = {2025-01-01},

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

volume = {41},

number = {20},

pages = {13239–13255},

abstract = {Customized interiors enhance quality of life and self-expression, driving demand for VR-based design solutions. However, scant research exists on exploiting contextual cues in VR to aid decision making. Consequently, we propose CONDA, a context-aware assistant which leveraging LLMs to support interior renovation decisions. Specifically, we reconstruct users’ homes in VR and provide CONDA with stylistic details and spatial layouts, allowing it to predict furniture labels based on the decision scenario. Besides, we devise various modes to comprehensively express users’ purchasing preferences. Finally, CONDA recommend compatible items based on the label matching algorithm, and generate multi-dimensional explanations. A 30-user study reveals contextual completeness and preference diversity critically influence recommendation quality and decision behaviors, with 90% praising CONDA’s performance and all expressing daily-use intent. Overall, we validated the efficacy and practicality of CONDA, deriving universal design insights for VR decision-support systems and establishing new research directions.CCS Concepts Human-centered computing (Formula presented.) Virtual reality Computing methodologies (Formula presented.) Natural language generation Applied computing (Formula presented.) Computer-aided design. © 2025 Elsevier B.V., All rights reserved.},

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

keywords = {Computing formula, Context-aware decision makings, Contextual cue, Decision making, Decision-Making, Decisions makings, Design solutions, Driving demand, Interior Design, Interior designs, Interiors (building), Language Model, Large language model, large language models, Quality of life, Virtual environments, Virtual Reality},

pubstate = {published},

tppubtype = {article}

}

2024

Jones, D.; Grǎcanin, D.; Azab, M.

Augmented Reality Research: Benefit or Detriment for Neurodiverse People Proceedings Article

In: Eck, U.; Sra, M.; Stefanucci, J.; Sugimoto, M.; Tatzgern, M.; Williams, I. (Ed.): Proc. - IEEE Int. Symp. Mixed Augment. Real. Adjunct, ISMAR-Adjunct, pp. 26–28, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 9798331506919 (ISBN).

Abstract | Links | BibTeX | Tags: Anonymity, Attention Deficit, Augmented Reality, Benefit/risk, Cyber Attack, Cyber attacks, Cyber Defense, Cyber-attacks, Cyber-defense, Language Model, Model training, Potential risks, Privacy invasions, Quality of life, Training data

@inproceedings{jones_augmented_2024,

title = {Augmented Reality Research: Benefit or Detriment for Neurodiverse People},

author = {D. Jones and D. Grǎcanin and M. Azab},

editor = {U. Eck and M. Sra and J. Stefanucci and M. Sugimoto and M. Tatzgern and I. Williams},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214361441&doi=10.1109%2FISMAR-Adjunct64951.2024.00015&partnerID=40&md5=b7f055514bb6ef0221a1663b11a91c34},

doi = {10.1109/ISMAR-Adjunct64951.2024.00015},

isbn = {9798331506919 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Proc. - IEEE Int. Symp. Mixed Augment. Real. Adjunct, ISMAR-Adjunct},

pages = {26–28},

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

abstract = {The intersection of technology and innovation has always been a double-edged sword for humanity, offering both profound benefits and potential risks. This paper examines the positive and negative impacts of augmented reality (AR) and generative artificial intelligence (GAI) on neurodiverse users (NDU). While AR, coupled with large language models (LLM), has the potential to revolutionize the diagnosis and training environments for NDUs, inherent biases in LLM training data, which predominantly reflects neurotypical user (NTU) content, pose significant risks. These biases can result in environments and interactions that are less accessible and potentially harmful to NDUs. The paper explores the implications of these biases, including the possibility of privacy invasion and the misuse of technology for diagnosing undiagnosed NDUs, leading to severe personal and professional consequences. The study advocates for industry-wide collaboration to mitigate these biases, develop NDU-specific datasets, and create secure AR frameworks that safeguard the neurodiverse population while enhancing their quality of life. © 2025 Elsevier B.V., All rights reserved.},

keywords = {Anonymity, Attention Deficit, Augmented Reality, Benefit/risk, Cyber Attack, Cyber attacks, Cyber Defense, Cyber-attacks, Cyber-defense, Language Model, Model training, Potential risks, Privacy invasions, Quality of life, Training data},

pubstate = {published},

tppubtype = {inproceedings}

}