ArticleProceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies2025
NavGraph: Enhancing Blind Travelers' Navigation Experience and Safety.
Article in Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- An Indoor Accessibility Assessment Framework Based on Multimodal Sensing and Explainable Machine Learning: A Case Study of a Tactile Museum for People with Visual Impairments.Sensors (Basel, Switzerland) · 2026Article
- Real-Time Assistive System Integrating Geometric Topology Analysis and State-Adaptive Warning Logic for the Visually Impaired.Sensors (Basel, Switzerland) · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Independent navigation remains a significant challenge for blind and low vision individuals, especially in unfamiliar environments. In this paper, we introduce the Parsimonious Instructions design principle, which aims to enhance navigation safety while minimizing the number of instructions delivered to the user. We demonstrate the application of this principle through NavGraph, a navigation application adopting a modular architecture comprising four components: localization, routing, guidance, and user interface. NavGraph is designed to provide effective, non-intrusive navigation assistance by optimizing route computation and instruction delivery. We evaluated NavGraph in a user study with 10 blind participants, comparing it to a baseline solution. Results show that NavGraph significantly reduces the number of instructions and improves clarity and safety, without compromising navigation time. These findings support the potential of the Parsimonious Instructions design principle in assistive navigation technologies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.