AHCI RESEARCH GROUP

Publications

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

OUR RESEARCH

Scientific Publications

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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

Monaco, P. -B.; Backlund, P.; Gobron, S.

The Negotiator: Interactive Hostage-Taking Training Simulation Proceedings Article

In: F., De Rango; F., Werner; G., Wagner (Ed.): Proc. Int. Conf. Simul. Model. Methodol. Technol. Appl., pp. 242–249, Science and Technology Publications, Lda, 2024, ISBN: 21842841 (ISSN); 978-989758708-5 (ISBN).

Abstract | Links | BibTeX | Tags: 3D, Decision-Making, Hostage-Taking, Human-Machine Interface, Immersion, Mobile Phone, Multimodal Systems, Natural Language Processing, Negotiation, Virtual Reality

@inproceedings{monaco_negotiator_2024,

title = {The Negotiator: Interactive Hostage-Taking Training Simulation},

author = {P. -B. Monaco and P. Backlund and S. Gobron},

editor = {De Rango F. and Werner F. and Wagner G.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206332014&doi=10.5220%2f0012720300003758&partnerID=40&md5=03ebb4c5577432071e3f180a5f50be2b},

doi = {10.5220/0012720300003758},

isbn = {21842841 (ISSN); 978-989758708-5 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Proc. Int. Conf. Simul. Model. Methodol. Technol. Appl.},

pages = {242–249},

publisher = {Science and Technology Publications, Lda},

abstract = {High-stakes professions like negotiators and pilots utilize simulations for risk-free training, enhancing skills and decision-making. Traditional simulations, while effective, are resource-intensive. Computer simulations offer a scalable alternative but lack realism and sensory engagement, impacting immersion. This study explores mobile phones’ role in simulation-based learning, using a 3D hostage-taking scenario to improve immersion through realistic interactions. The simulation integrates a detailed environment and interactive elements, and demonstrate the potential of mobile technology to enhance training in critical fields by making simulations more lifelike and engaging. This paper is presented alongside a twin paper, both part of the same project Master final project. The second paper introduces a different version of the simulation using a Large Language Model (like ChatGPT) for generating dialogue freely and interactively. It also discusses the results of a study comparing immersion levels between the two versions. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.},

keywords = {3D, Decision-Making, Hostage-Taking, Human-Machine Interface, Immersion, Mobile Phone, Multimodal Systems, Natural Language Processing, Negotiation, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}