Crowdsourcing the Installation and Maintenance of Indoor Navigation Infrastructure
Cole Gleason · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17) · doi:10.1145/3132525.3134827
Summary
This student research competition paper presents LuzDeploy, a system designed to solve a major barrier to the adoption of indoor navigation systems for people with visual impairments: the high cost and expertise required to install and maintain the necessary infrastructure. Systems like NavCog use Bluetooth Low-Energy (BLE) beacons placed approximately every 5 meters throughout building hallways, combined with signal fingerprinting data sampled every meter, to locate users within a meter of their actual position. However, installing these beacons, collecting signal data, and maintaining the system as beacons fail or environments change traditionally requires trained experts, making deployment prohibitively expensive. LuzDeploy addresses this by decomposing installation and maintenance workflows into small, simple tasks that non-expert volunteers can complete in minutes. The system consists of three components: a Facebook Messenger chatbot that coordinates volunteers and assigns tasks (beacon placement, Bluetooth data sampling, or health checks), an online map interface for administrators to define task locations, and a companion iOS app for collecting Bluetooth signal data. Volunteers can specify how many tasks they want to do, and the bot clusters nearby work to reduce travel overhead.
Key findings
LuzDeploy was evaluated in two deployment sessions at Carnegie Mellon University. In Session 1, a single-day event (4PM-10PM), 89 participants placed 99 beacons in the computer science building — though most placed only one beacon because batching was not yet enabled, leading to high walking overhead and drop-off. Visual inspection one week later found 73 of 99 beacons placed correctly (within 1 meter of the intended location), with 6 beacons missing entirely. In Session 2, conducted over four months without constant researcher presence and with batching enabled, 25 participants placed 97 beacons (averaging 3.9 beacons per person, 2.7 per task). Placement accuracy improved: 83 of 97 beacons were correctly placed, with only 12 too far from intended locations or missing, and 2 found broken. The improvement between sessions suggests that task batching is important for both volunteer retention and placement quality. The system demonstrated that physical crowdsourcing by untrained volunteers is feasible for instrumenting buildings with navigation infrastructure.
Relevance
Indoor navigation remains one of the most significant accessibility gaps for people with visual impairments. While GPS has largely solved outdoor navigation, indoor spaces — where people spend most of their time — remain largely inaccessible without visual wayfinding cues. The core contribution of LuzDeploy is reframing infrastructure deployment as a crowdsourcing problem rather than an expert task, potentially making it economically viable to instrument large numbers of buildings. For building owners and facility managers at universities, hospitals, airports, and public buildings, this approach offers a practical path to making indoor spaces navigable. The chatbot-based coordination model lowers the participation barrier by meeting volunteers where they already are (Facebook Messenger) rather than requiring specialized training or apps. The research points toward a future where maintaining accessible navigation infrastructure could become a distributed community responsibility rather than a centralized expert task.
Tags: indoor navigation · crowdsourcing · Bluetooth beacons · blindness · wayfinding · assistive technology · physical crowdsourcing