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    Navigating beyond places: The significance of navigation tools in everyday media use
    (2025-08-01)
    Lohmeier, Christine
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    Schulze, Lisa
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    This study examines navigation tools as key mediators of spatial perception, mobility, and digital infrastructures, contributing to scholarship on mediatization, geomedia, and surveillance studies. Navigation apps like Google Maps do not merely facilitate wayfinding; they actively shape spatial experiences, decision-making, and social interactions. Using a mixed-methods approach, we combined real-time activity tracking via the “MapRecorder” tool with qualitative interviews to analyze how users engage with Google Maps. Our findings reveal that navigation tools function as interfaces of spatial production, social connection, and data extraction, embedding themselves in everyday media repertoires. We identify four key usage patterns—search, place, directions, and map view manipulation—demonstrating that navigation is increasingly entangled with broader digital habits. In addition, the data suggested a paradoxical relationship between user convenience and concerns over dataveillance, contributing to debates on privacy resignation and the platformization of spatial control. By foregrounding these tensions, our study extends discussions on the deep mediatization of space, the role of geomedia in shaping mobility, and the sociotechnical power of digital navigation infrastructures.
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    Describing Explored Places through OpenStreetMap Data
    Mobile navigation applications are good at providing efficient navigation instructions. However, they currently lack the capability to facilitate free exploration. Therefore, users are limited to encountering only places close to the shortest paths, neglecting places that could diversify navigation and foster spatial learning. To better understand what characteristics places have that users like to explore we collected a dataset with a mobile application that encourages free exploration using gamification (n = 39, t = 455 days, 106.50 𝑘𝑚2). Using OpenStreetMap data, we found highly frequented freely explored places comprising office, educational, retail, touristic and commercial places. When comparing the characteristics of the freely explored places to those along the shortest path, those categories were different. Based on our findings, we propose that implementing more diverse routing algorithms can enhance navigation diversity, improve spatial learning, and optimise the utilisation of urban spaces for travel.
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    Scopus© Citations 2