Publications

@inproceedings{chen_analyzing_2025,

title = {Analyzing Multimodal Interaction Strategies for LLM-Assisted Manipulation of 3D Scenes},

author = {J. Chen and J. Grubert and P. O. Kristensson},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105002716635&doi=10.1109%2fVR59515.2025.00045&partnerID=40&md5=306aa7fbb3dad0aa9d43545f3c7eb9ea},

doi = {10.1109/VR59515.2025.00045},

isbn = {979-833153645-9 (ISBN)},

year  = {2025},

date = {2025-01-01},

booktitle = {Proc. - IEEE Conf. Virtual Real. 3D User Interfaces, VR},

pages = {206–216},

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

abstract = {As more applications of large language models (LLMs) for 3D content in immersive environments emerge, it is crucial to study user behavior to identify interaction patterns and potential barriers to guide the future design of immersive content creation and editing systems which involve LLMs. In an empirical user study with 12 participants, we combine quantitative usage data with post-experience questionnaire feedback to reveal common interaction patterns and key barriers in LLM-assisted 3D scene editing systems. We identify opportunities for improving natural language interfaces in 3D design tools and propose design recommendations. Through an empirical study, we demonstrate that LLM-assisted interactive systems can be used productively in immersive environments. © 2025 IEEE.},

keywords = {3D modeling, 3D reconstruction, 3D scene editing, 3D scenes, Computer simulation languages, Editing systems, Immersive environment, Interaction pattern, Interaction strategy, Language Model, Large language model, large language models, Multimodal Interaction, Scene editing, Three dimensional computer graphics, Virtual environments, Virtual Reality},

pubstate = {published},

tppubtype = {inproceedings}

}