EchoLadder: Progressive AI-Assisted Design of Immersive VR Scenes

Mixed reality platforms allow users to create virtual environments, yet novice users struggle with both ideation and execution in spatial design. While existing AI models can automatically generate scenes based on user prompts, the lack of interactive control limits users' ability to iteratively steer the output. In this paper, we present EchoLadder, a novel human-AI collaboration pipeline that leverages large vision-language model (LVLM) to support interactive scene modification in virtual reality. EchoLadder accepts users' verbal instructions at varied levels of abstraction and spatial specificity, generates concrete design suggestions throughout a progressive design process. The suggestions can be automatically applied, regenerated and retracted by users' toggle control.Our ablation study showed effectiveness of our pipeline components. Our user study found that, compared to baseline without showing suggestions, EchoLadder better supports user creativity in spatial design. It also contributes insights on users' progressive design strategies under AI assistance, providing design implications for future systems.

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Publication Details

Published
2025-09-27
DOI
https://doi.org/10.1145/3746059.3747659
Primary Topic
Interactive and Immersive Displays
Type
article
Field-Weighted Citation Impact
0.00
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article

EchoLadder: Progressive AI-Assisted Design of Immersive VR Scenes

Nianlong Li, Jingze Tian, F. Ren, Can Liu et al.
Interactive and Immersive Displays
article

EchoLadder: Progressive AI-Assisted Design of Immersive VR Scenes

Nianlong Li, Jingze Tian, F. Ren, Can Liu, Zhuangze Hou
article en

Abstract

Mixed reality platforms allow users to create virtual environments, yet novice users struggle with both ideation and execution in spatial design. While existing AI models can automatically generate scenes based on user prompts, the lack of interactive control limits users' ability to iteratively steer the output. In this paper, we present EchoLadder, a novel human-AI collaboration pipeline that leverages large vision-language model (LVLM) to support interactive scene modification in virtual reality. EchoLadder accepts users' verbal instructions at varied levels of abstraction and spatial specificity, generates concrete design suggestions throughout a progressive design process. The suggestions can be automatically applied, regenerated and retracted by users' toggle control.Our ablation study showed effectiveness of our pipeline components. Our user study found that, compared to baseline without showing suggestions, EchoLadder better supports user creativity in spatial design. It also contributes insights on users' progressive design strategies under AI assistance, providing design implications for future systems.

City University of Hong Kong (HK), Chinese Academy of Sciences (CN), Institute of Software (CN), New York University (US)
Openalex Percentile: Top 59%
Interactive and Immersive Displays
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