An Artistic Perspective for Affective Cartography

Iturrioz, Teresa

doi:10.1007/978-3-642-15537-6_5

Cited by 10 publications

(4 citation statements)

References 4 publications

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“…For example, in 1991, Gilmartin and Lloyd [29] conducted a user study to examine how different map projections influence people's emotional involvement with places. In the early 2010s, a group of geographers proposed ideas such as affective cartography [33] and affective geovisualization [4], which pushed this line of research to its peak. It is (76).…”

Section: Corpus Overviewmentioning

confidence: 99%

Kineticharts: Augmenting Affective Expressiveness of Charts in Data Stories with Animation Design

Lan

Shi

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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In recent years, more and more researchers have reflected on the undervaluation of emotion in data visualization and highlighted the importance of considering human emotion in visualization design. Meanwhile, an increasing number of studies have been conducted to explore emotion-related factors. However, so far, this research area is still in its early stages and faces a set of challenges, such as the unclear definition of key concepts, the insufficient justification of why emotion is important in visualization design, and the lack of characterization of the design space of affective visualization design. To address these challenges, first, we conducted a literature review and identified three research lines that examined both emotion and data visualization. We clarified the differences between these research lines and kept 109 papers that studied or discussed how data visualization communicates and influences emotion. Then, we coded the 109 papers in terms of how they justified the legitimacy of considering emotion in visualization design (i.e., why emotion is important) and identified five argumentative perspectives. Based on these papers, we also identified 61 projects that practiced affective visualization design. We coded these design projects in three dimensions, including design fields (where), design tasks (what), and design methods (how), to explore the design space of affective visualization design.

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Section: Corpus Overviewmentioning

confidence: 99%

Kineticharts: Augmenting Affective Expressiveness of Charts in Data Stories with Animation Design

Lan

Shi

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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“…Frente a uma possível objetivação excessiva na cartografia, tem surgido termos e discursos em prol de um tipo de mapeamento afetivo e sensível que considera intenções, crenças, desejos, humores e ligações afetivas (Flatley, 2008). Assim, a leitura das relações afetivas no espaço começa a ser incorporada pelos mapas, consolidando termos como "Affective Mapping" (Flatley, 2008;Jiao et al, 2010;Kirkland;Kunningham, 2011), "Affective Cartography" (Hutta, 2019;Turrioz;Wachowicz, 2011) ou "Senseable City" (Resch;Ratti, 2010;Ratti & Claudel, 2018;Martino et al, 2019). Desta forma, o objeto deste estudo é a cartografia do ato de afetar e ser afetado em sua forma coletiva, explorando sua relação com elementos físicos, temporais e comportamentais, compreendendo fluxos, padrões e reações (Martino et al, 2019;Lammes et al, 2018;Ratti & Claudel, 2018;Massumi, 2015;Lange, 2013).…”

Section: O Afeto Na Cartografia E Sua Relação Com a Smart Cityunclassified

Um método categórico de sistematização para cartografias digitais afetivas na smart city

Silva,

Diniz,

Duarte

2022

XIV Seminario Internacional De Investigación en Urbanismo, Madrid-Curitiba, Junio 2022

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The following research aims to elaborate and evaluate a categorical method of systematization, the thus called digital affective cartographies. In the context of 21st century smart cities, technological devices enable urban capture and processing of a large amount of dynamic data, which can facilitate the understanding of dynamic data from digital maps. The categorical method was organized into four system layers: (a) dynamicity (dynamic x static), (b) responsiveness (immediate x non-immediate), (c) implementation domain (hard x soft) and (d) affective aspect (quantitative x qualitative). For the evaluation of this and to test its applicability, it was applied in four cases of the Senseable City Lab: (1) City Veins (several cities), (2) City Ways (San Francisco and Boston), (3) Unparking (Singapore) and ( 4 ) Copenhagen in real time (Copenhagen). Keywords: Affective cartography, Affect, Map categorization, Smart City. Esta pesquisa tem como objetivo a elaboração e avaliação de um método categórico de sistematização das aqui chamadas cartografias afetivas digitais. No contexto das cidades inteligentes do século XXI, dispositivos tecnológicos possibilitam a captação e processamento de uma grande quantidade de dados, os quais podem facilitar a compreensão das dinâmicas urbanas através dos mapas digitais. O método categórico de sistematização foi organizado em quatro camadas: (a) dinamicidade (dinâmica x estática), (b) responsividade (imediata x não imediata), (c) domínio de implementação (hard x soft) e (d) vertente afetiva (quantitativa x qualitativa). Para a avaliação deste método e testar sua aplicabilidade foi aplicado em quatro casos da Senseable City Lab: (1) City Veins (diversas cidades), (2) City Ways (São Francisco e Boston), (3) Unparking (Cingapura) e (4) Real time Copenhagen (Copenhagen). Palavras-chave: Cartografia afetiva, Afeto, Categorização de mapas, Smart City.

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“…For example, in daily life, people observe the world from vivid and dynamic perspectives and can enjoy representations of their world through a realistic landscape painting style or a cartoon style. Thus, a method of improving the attractiveness of GIS presentation consistent with human cognitive habits is required to help users experience a more real and information-rich world, which would further develop the interests of users (Bratkova et al 2009;Iturrioz and Wachowicz 2010).…”

Section: Satisfying Human-oriented Geographic Information Presentationmentioning

confidence: 99%

Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective

Batty

Strobl

et al. 2018

International Journal of Geographical Information Science

199

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Great strides have been made in Geographic Information Systems (GIS) research over the past half-century. However, this progress has created both opportunities and challenges. From a geographic perspective, certain challenges remain, including the modelling of geographic-featured environments with GIS data model, the enhancement of GIS's analysis functions for comprehensive geographic analysis and achieving human-oriented geographic information presentation. Several basic theoretical and technical ideas that follow the workflow and processes of geographic information induction, geographic scenario modelling, geographic process analysis and geographic environment representation are proposed to fill the gaps between GIS and geography. We also call for designing methods for big geographic data-oriented analysis, making best use of videos and developing virtual geographic scenario-based GIS for further evolution.

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An Artistic Perspective for Affective Cartography

Cited by 10 publications

References 4 publications

Kineticharts: Augmenting Affective Expressiveness of Charts in Data Stories with Animation Design

Kineticharts: Augmenting Affective Expressiveness of Charts in Data Stories with Animation Design

Um método categórico de sistematização para cartografias digitais afetivas na smart city

Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective

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