Analyzing Multimodal Interaction Strategies for LLM-Assisted Manipulation of 3D Scenes

TL;DR

This paper presents an empirical study of user interaction patterns and barriers in LLM-assisted 3D scene editing within immersive environments, offering insights for future interface improvements.

Contribution

It combines quantitative and qualitative data from a user study to identify interaction patterns, barriers, and design recommendations for LLM-integrated 3D content creation systems.

Findings

Identified common interaction patterns in LLM-assisted 3D editing.

Highlighted key barriers to effective user interaction.

Demonstrated productive use of LLM-assisted systems in immersive environments.

Abstract

As more applications of large language models (LLMs) for 3D content for immersive environments emerge, it is crucial to study user behaviour 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 for future LLM-integrated 3D content creation systems. Through an empirical study, we demonstrate that LLM-assisted interactive systems can be used productively in immersive environments.