We develop solutions for searching and finding in smart environments.

GuidingPeople is dedicated to the design and implementation of seamless and integrated wayfinding assistance.

Our solutions are devoted to cognitive ergonomics and usability: with our substantiated knowledge about spatial cognition, wayfinding assistance, architecture, and technology we can design the most adequate solutions to guide people to rooms, persons, or assets.

GuidingPeople develops an evidence-based system of cloud-based services for searching and finding in smart environments, designed for optimum support of human knowledge processing to support people finding their workspace, gate, treatment room, colleagues, or valuable equipment.

From built environment towards smart environment.

While our built environment gains more and more opportunities to gather information and communicate with users, wayfinding remains a challenge. Often additional wayfinding solutions are contradictory with each other, physical signage and maps. To lead people in smart environments intuitively to their destination, all sources of information one uses have to be consistent.

Our proposition is an ecosystem based on one canonical dataset, thereby eliminating the chance of contradictory information. Any number of interfaces can connect to said dataset, from maps to digital signage.

An ecosystem of complementary solutions.

With our broad expertise in signage, wayfinding and wayfinding assistance, interaction design, indoor navigation, Smart Building Technology and building modelling, we are able to develop a broad range of solutions that form an complete ecosystem. All systems connect to one cloud-based canonical building model.

The aforementioned cloud-based building model is the foundation of all wayfinding interfaces. These interfaces can range from static maps and traditional signage to digital signage systems, interactive maps and mobile applications. Since all interfaces share the same dataset, users actively switching from one interface to the other for their wayfinding tasks will not receive inconsistent information.