One mobile map does not fit everyone: a research agenda for responsibly adapting mobile maps for all

Mobile map applications have become indispensable tools for everyday spatial decision-making and tasks. Yet, they commonly exhibit a one-size-fits-all design, offering only limited, mostly ad hoc adaptations (e.g. dark mode, speed-dependent zoom) that are insufficiently grounded in empirical evidence about diverse users and contexts. This paper synthesizes interdisciplinary research on mobile map adaptation and proposes a research agenda for responsibly adapting mobile maps for all. Building on foundational work in context-aware systems, adaptive user interfaces, location-based services, and adaptive cartography, we define mobile map adaptation as a flexible approach that shares initiative, execution and control between the user and the map application. Through an illustrative scenario, we highlight both the potential of adaptive assistance (e.g. context-aware rerouting) and the risks of inappropriate or suboptimal adaptations (e.g. unsafe routing due to erroneous context inference). To advance the field, we identify 19 research opportunities across seven topics: (1) adverse effects and trade-offs, (2) conflicting adaptation objectives, (3) initiation, frequency, scope, and magnitude of adaptation, (4) user control, human error, and overreliance, (5) explainability, (6) data privacy, and (7) uncertainty. The research agenda provides practical directions for developing adaptive mobile maps that empower diverse users while addressing practical, ethical, and societal implications.

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Publication Details

Journal
Cartography and Geographic Information Science
Published
2026-08-26
DOI
https://doi.org/10.1080/15230406.2026.2710916
Primary Topic
Spatial Cognition and Navigation
Type
article
Field-Weighted Citation Impact
0.00
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article

One mobile map does not fit everyone: a research agenda for responsibly adapting mobile maps for all

Toru Ishikawa, Peter Kiefer, Sara Irina Fabrikant, Bernd Resch et al.
Cartography and Geographic Information Science
Spatial Cognition and Navigation
article

One mobile map does not fit everyone: a research agenda for responsibly adapting mobile maps for all

Toru Ishikawa, Peter Kiefer, Sara Irina Fabrikant, Bernd Resch, Donatella Zingaro, Tumasch Reichenbacher, Mona Bartling, Amy L. Griffin, Armand Kapaj
article en

Abstract

Mobile map applications have become indispensable tools for everyday spatial decision-making and tasks. Yet, they commonly exhibit a one-size-fits-all design, offering only limited, mostly ad hoc adaptations (e.g. dark mode, speed-dependent zoom) that are insufficiently grounded in empirical evidence about diverse users and contexts. This paper synthesizes interdisciplinary research on mobile map adaptation and proposes a research agenda for responsibly adapting mobile maps for all. Building on foundational work in context-aware systems, adaptive user interfaces, location-based services, and adaptive cartography, we define mobile map adaptation as a flexible approach that shares initiative, execution and control between the user and the map application. Through an illustrative scenario, we highlight both the potential of adaptive assistance (e.g. context-aware rerouting) and the risks of inappropriate or suboptimal adaptations (e.g. unsafe routing due to erroneous context inference). To advance the field, we identify 19 research opportunities across seven topics: (1) adverse effects and trade-offs, (2) conflicting adaptation objectives, (3) initiation, frequency, scope, and magnitude of adaptation, (4) user control, human error, and overreliance, (5) explainability, (6) data privacy, and (7) uncertainty. The research agenda provides practical directions for developing adaptive mobile maps that empower diverse users while addressing practical, ethical, and societal implications.

Cartography and Geographic Information Science
University of Zurich (CH), ETH Zurich (CH), Artificial Intelligence in Medicine (Canada) (CA), RMIT University (AU)
Peace, Justice and strong institutions
Openalex Percentile: Top 17%
Spatial Cognition and Navigation
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