Choriented Maps: Visualizing SDG Data on Mobile Devices

Gorte, Viktor; Degbelo, Auriol

doi:10.1080/00087041.2021.1986616

Cited by 6 publications

(1 citation statement)

References 62 publications

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“…Another direction for future research is the investigation of the effect of redundant sensorization (i.e., the combined use of several modalities) on user experience. There are works in the literature documenting the positive effects of redundant symbolization for the visual channel (e.g., [118,119]), as well as the visual and haptic channels used in combination (e.g., [67]), and more work along these lines is needed to increase our understanding of the use of redundancy during data encoding more broadly.…”

Section: Discussionmentioning

confidence: 99%

Encoding Variables, Evaluation Criteria, and Evaluation Methods for Data Physicalisations: A Review

Ranasinghe

Degbelo

2023

MTI

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Data physicalisations, or physical visualisations, represent data physically, using variable properties of physical media. As an emerging area, Data physicalisation research needs conceptual foundations to support thinking about and designing new physical representations of data and evaluating them. Yet, it remains unclear at the moment (i) what encoding variables are at the designer’s disposal during the creation of physicalisations, (ii) what evaluation criteria could be useful, and (iii) what methods can be used to evaluate physicalisations. This article addresses these three questions through a narrative review and a systematic review. The narrative review draws on the literature from Information Visualisation, HCI and Cartography to provide a holistic view of encoding variables for data. The systematic review looks closely into the evaluation criteria and methods that can be used to evaluate data physicalisations. Both reviews offer a conceptual framework for researchers and designers interested in designing and evaluating data physicalisations. The framework can be used as a common vocabulary to describe physicalisations and to identify design opportunities. We also proposed a seven-stage model for designing and evaluating physical data representations. The model can be used to guide the design of physicalisations and ideate along the stages identified. The evaluation criteria and methods extracted during the work can inform the assessment of existing and future data physicalisation artefacts.

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Section: Discussionmentioning

confidence: 99%

Encoding Variables, Evaluation Criteria, and Evaluation Methods for Data Physicalisations: A Review

Ranasinghe

Degbelo

2023

MTI

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Territories, Digitalization, and Maps—Algorithm of Space

Shaban

2024

Digital Geographies—Urbanisation, Economy, and Modelling

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Eine explorative Studie über Modelle der Nutzererfahrung bei mobilen Karten

Somaskantharajan

Degbelo

Krukar

2023

KN J. Cartogr. Geogr. Inf.

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Several user studies have been conducted to evaluate the User Experience (UX) of thematic mobile maps, but models describing the results beyond point studies are still lacking. This article explored mathematical functions to predict the UX on the visualization types Choropleth Maps and Graduated Symbol Maps. Ten different Choropleth Maps and ten different Graduated Symbol Maps were utilized to conduct a user study, in which 30 participants solved information-gathering tasks on a mobile device. The data from the first 20 participants served as input to build 12 mathematical models on the accuracy, efficiency, perceived mental demand, perceived performance, perceived effort demanded and perceived frustration level for solving the given map tasks. The predictive performance of the models was then evaluated using data from the remaining ten participants and the predictions were within 30% of unseen empirical data. The models obtained are relevant to the design of adaptive and plastic geovisualizations on mobile devices.

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Choriented Maps: Visualizing SDG Data on Mobile Devices

Cited by 6 publications

References 62 publications

Encoding Variables, Evaluation Criteria, and Evaluation Methods for Data Physicalisations: A Review

Encoding Variables, Evaluation Criteria, and Evaluation Methods for Data Physicalisations: A Review

Territories, Digitalization, and Maps—Algorithm of Space

Eine explorative Studie über Modelle der Nutzererfahrung bei mobilen Karten

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