Adapting mobile map application designs to map use context: a review and call for action on potential future research themes

Bartling, Mona; Resch, Bernd; Reichenbacher, Tumasch; Havas, Clemens; Robinson, Anthony C.; Fabrikant, Sara Irina; Blaschke, Thomas

doi:10.1080/15230406.2021.2015720

Cited by 19 publications

(7 citation statements)

References 59 publications

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“…Griffin et al (2017) propose a comprehensive framework and research agenda for identifying map designs that can be transferred from one map use context to another one. Bartling et al (2021aBartling et al ( ,b, 2022Bartling et al ( , 2023 explore ways of modeling context and applying mobile use context factors for adapting map apps. This shift toward the user, and hence user-adaptive mobile maps, follows a research trend in cartography and GIScience to better understand mobile users and their cognitive processes involved in mobile map and navigation tool usage to improve the experience with betterfitted designs that accommodate cognitive abilities, cognitive styles, individual differences and cognitive states Zingaro and Reichenbacher, 2022a,b;Kapaj et al, 2023).…”

Section: Past and Current Advances In Mobile Map Adaptivitymentioning

confidence: 99%

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Adaptivity as a key feature of mobile maps in the digital era

Reichenbacher,

Bartling

2023

Front. Commun.

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Mobile maps are an important tool for mastering modern digital life. In this paper, we outline our perspective on the challenges and opportunities associated with designing adaptive mobile maps that are useful, usable, and accessible to a wide range of users in different contexts. If we claim for adaptive mobile maps to be successful, we need to expand our understanding of map use context, including the physical and digital spaces, user behavior, and individual differences. We identify key challenges, such as the scarcity of knowledge about mobile map use behavior, the need for effective adaptation methods and strategies, user acceptance of adaptive maps, and issues related to control, privacy, trust, and transparency. We finally suggest research opportunities, such as studying mobile map usage, employing AI-based adaptation methods, leveraging the power of visual communication through maps, and ensuring user acceptance through user control and privacy.

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Section: Past and Current Advances In Mobile Map Adaptivitymentioning

confidence: 99%

“…The second big challenge is privacy. To adapt to the context of use, user abilities and behavior, a mobile map app requires a substantial amount of personal and sensitive data (Bartling et al, 2022). No individual adaptation and support are possible without such knowledge about the individual.…”

Section: Control Privacy Trust and Transparencymentioning

confidence: 99%

Adaptivity as a key feature of mobile maps in the digital era

Reichenbacher,

Bartling

2023

Front. Commun.

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“…UX focuses on user impressions of the product, ensuring that the app meets functional needs and provides a pleasant and intuitive experience [23]. Google's HEART Framework is also vital for measuring aspects like Happiness, Engagement, Adoption, Retention, and Task Success about user experience, offering guidance for identifying goals, measuring user behavior, and setting relevant metrics for app performance improvement [24]- [26].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Bibit App: The HEART Framework Approach in UX Design

Setya Perdana,

Lintang Yuniar Banowosari

2024

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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With the rise of investment applications like Bibit in Indonesia, evaluating user experience is crucial to improve user engagement and satisfaction. This study aims to assess the Bibit app user experience using the HEART framework to identify areas for improvement. A descriptive survey was conducted using the Slovin method to determine a sample size of approximately 100 people. The study used a questionnaire distributed through Google Forms that measures the five aspects of the HEART framework on a Likert scale. Data were analyzed for validity and reliability using IBM SPSS and stored in Google Spreadsheets. Overall, the Bibit app demonstrated high satisfaction, engagement, adoption, retention, and task success among its users, with most categories scoring above the 80% target. However, specific areas, particularly Happiness 2, Adoption 1, Retention 1, and Task Success 3, require further development attention. The Bibit app provides a generally satisfying user experience, with significant potential for improvement in navigation tooltips, investment product development, and app speed and efficiency.

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“…To address visibility limitations based on the lighting environment, interfaces should respond differently in dim and bright lighting environments (Schilling et al, 2005; Zhang et al, 2009), such as by adjusting the color of the map symbols and size of the labels (Sarjakoski & Nivala, 2005). The map design should also align with the environment to avoid high cognitive load (Bartling et al, 2022). However, the usability of maps in different lighting environments has not been determined in empirical studies.…”

Section: Introductionmentioning

confidence: 99%

Light mode and dark mode: Which one is suitable when using public‐facing web maps? An experimental evaluation using eye‐tracking

Qiao

2023

Transactions in GIS

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Dark maps, which are also called dark modes or dark themes, have gained popularity, but their usability has not been experimentally evaluated. This article presents a user experiment that uses eye-tracking to assess the usability of dark and light maps. Here, two widely used web maps, Google Maps and Gaode Maps, are selected at the street and city scales.Eight map-use tasks are designed and cover four operations (identify, compare, rank, and associate) with space-alone and attributes-in-space distinctions. Four pairs of map-use tasks (light-during-the-day, dark-during-the-day, dark-at-night, and light-at-night) are examined from three aspects: effectiveness, efficiency, and cognitive load. The results provide preliminary evidence that the light-during-the-day performance is generally the best in most cases, followed by the dark-at-night performance; the dark-during-the-day performance is the worst in all cases, followed by the light-at-night performance, which suggests that aligning the map design with the environment (i.e., lighting environment) is critical for better communication. The light-during-the-day performance is the best for space-alone tasks, and the dark-at-night performance is the best for attributes-in-space tasks. Our investigation also indicates that dark maps are far less favored in practice, which suggests that users' preference for using the dark mode of public-facing web maps needs to be shaped. Since light and dark maps are associated with photopic and scotopic vision, respectively, the results

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Adapting mobile map application designs to map use context: a review and call for action on potential future research themes

Cited by 19 publications

References 59 publications

Adaptivity as a key feature of mobile maps in the digital era

Adaptivity as a key feature of mobile maps in the digital era

Evaluating the Bibit App: The HEART Framework Approach in UX Design

Light mode and dark mode: Which one is suitable when using public‐facing web maps? An experimental evaluation using eye‐tracking

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