Publicação
Evaluating Wayfinding Performance through Analysis and Visualization of Spatio-Temporal Patterns in Location-Based Navigation App Data (GeoGami)
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Schwering, Angela | |
| dc.contributor.advisor | Painho, Marco Octávio Trindade | |
| dc.contributor.advisor | Krukar, Jakub | |
| dc.contributor.author | Musonera, Eric | |
| dc.date.accessioned | 2025-03-18T10:18:05Z | |
| dc.date.available | 2025-03-18T10:18:05Z | |
| dc.date.issued | 2025-03-05 | |
| dc.description | Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies | pt_PT |
| dc.description.abstract | Wayfinding is a fundamental aspect of human spatial cognition, influencing mobility in both indoor and outdoor environments. Effective wayfinding depends on spatial information availability and an individual's familiarity with an area, leading to significant variations in navigational success. Traditional studies on wayfinding have primarily been conducted in controlled indoor or virtual environments, limiting their applicability to real-world scenarios. This study addresses this gap by analyzing real-world wayfinding data collected via the GeoGami navigation application. The analysis identifies key performance indicators (KPIs) such as speed, number of stops, and deviations from the optimal route. Findings reveal substantial differences in wayfinding strategies: for instance, one group demonstrated an average speed of 5.39 km/h with minimal stops, while another recorded 66 stops despite covering a shorter distance. These insights are visually represented in an interactive dashboard, designed to communicate key findings to researchers, urban planners, landscape designers, and application developers. The results underscore the influence of spatial familiarity on navigation efficiency and offer a foundation for future research. Additionally, this study contributes to the development of navigation-enhancing technologies and informs urban planning by identifying areas where wayfinding assistance is needed. | pt_PT |
| dc.identifier.tid | 203924193 | |
| dc.identifier.uri | http://hdl.handle.net/10362/180810 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | GeoGami navigation application | pt_PT |
| dc.subject | navigation-enhancing technologies | pt_PT |
| dc.subject | urban planning | pt_PT |
| dc.title | Evaluating Wayfinding Performance through Analysis and Visualization of Spatio-Temporal Patterns in Location-Based Navigation App Data (GeoGami) | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Tecnologias Geoespaciais | pt_PT |