Cognitive Accessibility Research Modules - Technology Assisted Indoor Navigation / Wayfinding

W3C Group Note Draft

More details about this document
This version:
https://www.w3.org/TR/2026/DNOTE-coga-wayfinding-20260205/
Latest published version:
https://www.w3.org/TR/coga-wayfinding/
Latest editor's draft:
https://w3c.github.io/coga/research-modules/Technology-Assisted-Indoor-Navigation-and-Wayfindings.html
History:
https://www.w3.org/standards/history/coga-wayfinding/
Commit history
Editor:
Lisa Seeman-Horwitz (W3C Invited Expert)
Feedback:
GitHub w3c/coga (pull requests, new issue, open issues)
public-coga-comments@w3.org with subject line [coga-wayfinding] … message topic … (archives)

Abstract

Technology-assisted navigation through indoor spaces, also known as wayfinding, is often extremely helpful for people who require cognitive accessibility. However, it can create a number of cognitive accessibility issues for people with disabilities.

This module explores:

Research modules are primarily intended for groups in The World Wide Web Consortium (W3C). For example, they are used as source material for Making Content Usable for People with Cognitive and Learning Disabilities.

They may also contain useful information for:

Note that these modules focus on explaining the issues that lead to diverse user needs impacting web accessibility. For this reason, they may sometimes address a broader scope than web accessibility alone.

This document is part of a set of related informative publications from the Cognitive and Learning Disabilities Accessibility Task Force (COGA TF), a joint Task Force of the Accessible Platform Architectures Working Group (APA WG) and the Accessibility Guidelines Working Group (AG WG) of the Web Accessibility Initiative.

Status of This Document

This section describes the status of this document at the time of its publication. A list of current W3C publications and the latest revision of this technical report can be found in the W3C standards and drafts index.

This is an early draft. The Task Force intends to add more research and improved discussion.

Feedback on any aspect of the document is accepted. For this publication, the Working Groups particularly seek feedback on the following questions:

To comment, file an issue in the W3C coga GitHub repository. If this is not feasible, send email to public-coga-comments@w3.org (comment archive). Comments are requested by 15th April 2026. In-progress updates to the document may be viewed in the publicly visible editors' draft.

This document was published by the Accessible Platform Architectures Working Group as a Group Note Draft using the Note track.

Group Note Drafts are not endorsed by W3C nor its Members.

This is a draft document and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to cite this document as other than a work in progress.

The W3C Patent Policy does not carry any licensing requirements or commitments on this document.

This document is governed by the 18 August 2025 W3C Process Document.

1. Introduction

This module looks at cognitive accessibility issues that may arise when using technology-assisted navigation through indoor spaces, also known as wayfinding. This paper includes discussion on geolocation and directions from place to place. Wayfinding refers to the ability to navigate to a desired location and back again. Wayfinding means people can orient themselves, explore, and navigate through buildings such as museums, hospitals, airports, and public transportation stations. Wayfinding is separate from outdoor navigation, such as via global positioning systems (GPS), primarily because GPS does not function inside buildings.

This research module addresses technology-assisted navigation, or wayfinding, within indoor environments for people with disabilities that require cognitive accessibility support. It explores concepts such as geolocation and directional guidance from one point to another.

Wayfinding, in this context, refers to the ability to successfully navigate to a desired location and return. This encompasses orienting oneself, exploring, and moving through various indoor spaces like museums, hospitals, airports, and public transportation hubs.

An example use case would be:

This module focuses on explaining the issues that lead to diverse user needs impacting web accessibility. For this reason, it may sometimes address a broader scope than web accessibility alone. Digitally assisted wayfinding sits at the intersection of the digital and physical environments. While there may be solutions in the physical space, our focus here is on digital approaches.

2. Challenges for people with disabilities that require cognitive accessibility support

Wayfinding can produce a wide range of challenges for people with cognitive disabilities. Not all people with cognitive abilities will have difficulties with wayfinding. Some people may experience temporary cognitive issues with wayfinding due medication side-effects, mental health status, or other factors. High demands to cognitive load, negative experiences in wayfinding, and interruptions can impact both the cognitive and physical energy a person can put towards wayfinding. Issues with wayfinding can occur for people with impairments including those that impact:

2.1 Memory

People with disabilities that require cognitive accessibility support that affect memory may have to:

2.2 Executive function

People with disabilities that require cognitive accessibility support that affect executive function may have difficulty:

2.3 Attention

People with disabilities that require cognitive accessibility support that affect attention may:

2.4 Visuo-Spatial

People with disabilities that require cognitive accessibility support that affect visuo-spatial function may have difficulty:

2.5 Language

People with disabilities that require cognitive accessibility support that affect language may not understand a proposed route if it:

People with cognitive disabilities may not be able to enter their desired destination on a wayfinding aid if they must write and read to do so.

2.6 Perception Processing/Interpretation

Many people with disabilities that require cognitive accessibility support may have difficulty:

2.7 Knowledge Acquisition, Retention, or Recall

Some people with cognitive disabilities that impact knowledge acquisition, retention, and recall may not be able to understand a proposed route if it:

3. User Story and User Needs

Editor's note

The list of user stories and user needs is not yet done. We will add it in the next working draft

Editor's note

In the next version, we will cross-reference this section with the user needs in Making Content Usable for People with Cognitive and Learning Disabilities. New user needs that are identified in this research module will be included in the next version of Making Content Usable for People with Cognitive and Learning Disabilities.

4. Possible Solutions for Meeting User Needs

Below are some ideas that might help meet the user needs above. Note that digital solutions should also meet [WCAG21] and [coga-usable]. Also, this module focuses on explaining the issues that lead to diverse user needs impacting web accessibility. For this reason, it may sometimes address a broader scope than web accessibility alone.

Inform user of time to destination up front. Provide real-time information about time to travel to destinations along any available routes.

Integrate landmark-based navigation . Maps and directions should integrate easily recognizable landmarks that provide additional help with wayfinding. These should integrate photographs of these landmarks rather than abstract representations, birds-eye view or reliance on cardinal (north / south) or body-relative (left and right) directions. Where possible, allow users to customize routes with their own landmarks.

Include both digital and environmental solutions. Include physical wayfinding aids (e.g. signs, directional arrows, color-coded pathways) as well as digital aids.

Provide multiple methods for accessing directions . For example, provide step-by-step directions that are provided in text,audio/video, and a map with a directional overlay such as an arrow that also provides spoken directions.

Present directions in smallest steps possible . Each step-by-step direction should be a single action (i.e. continue straight; turn left, etc). Avoid providing too much information at one time.

Provide real-time directions. Provide each step in the moment it is needed with sufficient time for the user to react.

Provide textual information in clear, concrete language.

Provide photographs of decision-points .

Avoid changing routes without user approval . Proposed route changes should only be implemented if the user is made aware and approves. Users should be made aware of differences in the proposed route such as more steps.

Provide methods to always access directions . For example, instead of relying only on static kiosks, have methods for users to be able to revisit directions at any time, especially while they are moving through the route. Include ways to personalize the indication (i.e. rather than a static map, include adaptive instructions that change as the person re-orients themselves). Due to the complexity of access, QR codes are not recommended.

Allow personalization of interface. Users should have control over options like color contrast, text size and font, and sound. This limits distractions and/or increases usability based on their individual needs.

Allow multiple modes of input. Users should be able to input their desired destination in multiple ways, including typing, speech, and selecting on a map.

Allow personalization of terms including directions and measurements . Allow users to customize key terms such as distance measurements.

Provide human back-up. Allow users to contact human support when wayfinding fails. For example, an interactive map of a hospital could have an option to call the front desk integrated into its interface. An additional off-line way to reverse course is also helpful, if the wayfinding and general internet fails. Note this could also be a back up when no service is available to devices - in that case no option to call the front desk would be available.

5. Current Status of These Solutions

There has been some attention to indoor wayfinding for people with cognitive disabilities in the academic literature, and a number of prototypes assisting in wayfinding have been developed. While a small number of technologies for cognitive assistance in wayfinding are available on the market, most attention has been devoted to outdoor navigation or public transit. Determining a person’s location and obstacles indoors remains challenging, making technologies that provide accurate real-time location information difficult to develop. Some technologies currently being deployed to address these issues include Bluetooth beacons, magnetic fingerprints, WiFi fingerprints, RFID tags, ultra wideband (UWB), and ultrasound.

A. Other Sources

Editor's note

This section needs cleanup.

B. Appendix: Acknowledgments

B.1 Key contributors and section editors

B.2 Participants active in the Cognitive and Learning Disabilities Task Force at the time of publication

C. References

C.1 Informative references

[coga-usable]
Making Content Usable for People with Cognitive and Learning Disabilities. Lisa Seeman-Horwitz; Rachael Bradley Montgomery; Steve Lee; Ruoxi Ran. W3C. 29 April 2021. W3C Working Group Note. URL: https://www.w3.org/TR/coga-usable/
[RC-antonakos1]
Wayfinding with Visuo-Spatial Impairment from Stroke and Traumatic Brain Injury. antonakos C; Giordani B; Ashton-Miller J et al. academic paper.
[RC-nas1]
Enhancing Airport Wayfinding for Aging Travelers and Persons with Disabilities Washington, DC. National Academies of Sciences Engineering and Medicine et al. National Academies of Sciences Engineering and Medicine. 2017. academic paper. URL: https://doi.org/10.17226/24930
[RC-upadhyay1]
A Case Study on Improving Accessibility of Healthcare Care Facility in Low-resource Settings. Vikas Upadhyay; Tigmanshu Bhatnagar; Catherine Holloway et al. In CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2022),. 2022. academic paper. URL: https://doi.org/10.1145/3491101.3503557
[WCAG21]
Web Content Accessibility Guidelines (WCAG) 2.1. W3C et al. W3C Recommendation. 2018. standard. URL: https://www.w3.org/TR/WCAG21/