Paper Detail
George Xi Wang, Xiangyu Li, Shaoyue Wen, Jiaqian Hu, Junan Xie, Yupeng Wang, Ziyue Shi, Qijun Chen, Maaike Bouwmeester, Yuhua Jin, Jing Qian
Blind and low-vision users often face challenges when locating and physically acquiring objects in unfamiliar indoor environments. Existing vision-language-model-based assistants can provide semantic descriptions but may introduce latency, hallucinations, and guidance that is poorly aligned with embodied action. We present Touvigation, a hands-free object acquisition system that combines vision-language understanding with persistent local spatial modeling to provide low-latency, body-relative guidance. Drawing on formative interviews with eight blind and low-vision participants, we design a multi-stage guidance framework that adapts spatial references as users transition from orienting, to walking, to reaching and tactile verification. We evaluated Touvigation with 12 blind and low-vision participants against a multimodal large-language-model assistant and unassisted search. Touvigation achieved 100% task success, compared with 58% for the multimodal assistant and 85% for unassisted search, while reducing completion time and cognitive workload. Our findings demonstrate how persistent spatial grounding and adaptive embodied guidance can improve object acquisition for blind and low-vision users.
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@article{wang2026touvigation,
title = {Touvigation: Embodied Adaptive Object Acquisition for Blind and Low-Vision Users in Unfamiliar Indoor Environments},
author = {George Xi Wang and Xiangyu Li and Shaoyue Wen and Jiaqian Hu and Junan Xie and Yupeng Wang and Ziyue Shi and Qijun Chen and Maaike Bouwmeester and Yuhua Jin and Jing Qian},
year = {2026},
abstract = {Blind and low-vision users often face challenges when locating and physically acquiring objects in unfamiliar indoor environments. Existing vision-language-model-based assistants can provide semantic descriptions but may introduce latency, hallucinations, and guidance that is poorly aligned with embodied action. We present Touvigation, a hands-free object acquisition system that combines vision-language understanding with persistent local spatial modeling to provide low-latency, body-relative gu},
url = {https://arxiv.org/abs/2609.21828},
keywords = {cs.HC, cs.AI},
eprint = {2609.21828},
archiveprefix = {arXiv},
}
{}