SceneCrafter: Toward Intent-Following Human-AI Collaboration in VR-Based 3D Scene Prototyping

Exploratory 3D scene prototyping is critical in digital media, yet existing tools are limited for early-stage ideation. Although VR enables immersive visualization and embodied spatial interaction, current input techniques fail to capture vague and evolving intent. Recent AI advances enable rapid 3D creation, but existing VR–AI integrations provide week support for coherent creative flow and open-ended exploration. We present SceneCrafter, a VR authoring tool for intent-following human–AI collaboration, where AI tracks users’ evolving intent and adapts responses within a shared immersive environment. It integrates intent cues capturing, dynamic memory updating, intent and spatial reasoning, and in-situ feedback generation to support iterative prototyping. A user study with 16 participants shows SceneCrafter improves usability, lower workload, and human–AI collaboration.

Authors

Institutions

Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-07-30
DOI
https://doi.org/10.1080/10447318.2026.2706896
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SceneCrafter: Toward Intent-Following Human-AI Collaboration in VR-Based 3D Scene Prototyping

Chaoyi Lin, Zejian Li, Lingyun Sun, Pei Chen et al.
International Journal of Human-Computer Interaction
Virtual Reality Applications and Impacts
article

SceneCrafter: Toward Intent-Following Human-AI Collaboration in VR-Based 3D Scene Prototyping

Chaoyi Lin, Zejian Li, Lingyun Sun, Pei Chen, Zhaoqu Jiang, Yifei Wu, Jiayang Li
article en

Abstract

Exploratory 3D scene prototyping is critical in digital media, yet existing tools are limited for early-stage ideation. Although VR enables immersive visualization and embodied spatial interaction, current input techniques fail to capture vague and evolving intent. Recent AI advances enable rapid 3D creation, but existing VR–AI integrations provide week support for coherent creative flow and open-ended exploration. We present SceneCrafter, a VR authoring tool for intent-following human–AI collaboration, where AI tracks users’ evolving intent and adapts responses within a shared immersive environment. It integrates intent cues capturing, dynamic memory updating, intent and spatial reasoning, and in-situ feedback generation to support iterative prototyping. A user study with 16 participants shows SceneCrafter improves usability, lower workload, and human–AI collaboration.

International Journal of Human-Computer Interaction
Zhejiang University of Science and Technology (CN), Zhejiang Lab (CN), Artificial Intelligence in Medicine (Canada) (CA), Zhejiang University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 7%
Virtual Reality Applications and Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.