Text, Image, Data, Interaction: Understanding Information Visualization

Sorapure, Madeleine

doi:10.1016/j.compcom.2019.102519

Cited by 22 publications

(8 citation statements)

References 12 publications

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“…As noted above, researchers have studied anthropographics primarily as a design strategy intended to increase the empathy and prosocial attitudes and behaviors of an audience that interacts with a data visualization. The recent and still relatively small body of research on anthropographics is part of a broader trend of examining different design approaches and measures of effectiveness for data visualizations that address everyday topics and target a general audience as opposed to those that are utilitarian and designed for data experts and analysts (Hullman and Diakopoulos, 2011; Lupi, 2017; Pousman et al, 2007; Sorapure, 2019; Viegas and Wattenberg, 2006). Some researchers have focused specifically on empathy and other emotional appeals in data visualization (Kennedy and Hill, 2018; Kostelnick, 2016; Zer-Aviv, 2017), while others have studied how data visualizations might encourage civic engagement and activism (Claes and Vande Moere, 2013; Dörk et al, 2013; D’Ignazio and Klein, 2020).…”

Section: Anthropographic Studiesmentioning

confidence: 99%

Anthropographics in COVID-19 simulations

Sorapure

2022

Big Data & Society

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Data visualization researchers and designers have explored a range of approaches to ensure that non-expert audiences understand and derive value from their work. Using anthropomorphized data graphics—or anthropographics—is one strategy that can help create a connection between data and audiences. Anthropographics have been defined as “visualizations that represent data about people in a way that is intended to promote prosocial feelings (e.g. compassion or empathy) or prosocial behavior (e.g. donating or helping).” However, during the SARS-CoV-2 pandemic, anthropographics were used in data visualizations that had an expanded range of rhetorical goals beyond promoting prosocial feelings and behavior—for instance, informing people about the pandemic, persuading them to adopt certain behaviors, or memorializing those killed by the virus. In particular, anthropographics were used in visualized simulations to model possible futures for audiences, showing the spread and impact of the virus in various scenarios. These simulations used anthropomorphizing strategies in text as well as in graphics, along with interactive options that enabled audiences to explore personal connections with the data. As demonstrated through a close reading of several of these COVID-19 simulations, anthropographics can be viewed holistically as a design strategy that incorporates text and interactivity as well as graphical marks in representing data. Findings from this analysis suggest several additions to the design space for anthropographics.

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Section: Anthropographic Studiesmentioning

confidence: 99%

Anthropographics in COVID-19 simulations

Sorapure

2022

Big Data & Society

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“…Since data is the source of information, it is necessary to confrm people's understanding of it. To enhance their impact and efectiveness, evaluation studies should focus on how non-experts in their social and cultural context understand them [103]. For data visualization to be useful, a person needs to not only understand the data, but also efectively use it to make decisions [101].…”

Section: Information Couplingmentioning

confidence: 99%

The Human-Air Interface: Responding To Poor Air Quality Through Lived Experience and Digital Information

Gupta

Eden

2022

Designing Interactive Systems Conference

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The Air Quality Index (AQI) is a set of numerical, color-coded metrics used to communicate air pollution levels. AQI data is available through a variety of mediums such as mobile apps, websites and public displays. However, the information communicated through these may not be easily interpretable to everyone. Especially when scientifc data and associated representations are used to convey information to communities whose shared knowledge and practices are signifcantly diferent from Western scientifc contexts. We discuss fndings from a qualitative study conducted in Delhi, India to understand how residents across both low-and high-resourced communities, assess their personal risk around air pollution and the safety measures they take to mitigate that risk. We reveal incompatibilities between the air-quality information displayed in digital platforms and whether that information is interpretable for people with diferent cultural sensitivities. We conclude with design implications for improving the interpretability and relevance of air quality interfaces. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Empirical studies in HCI; Field studies.

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“…Em seu livro, Munzner (2014), acrescenta que elas são projetadas para ajudar as pessoas a realizar tarefas com mais eficiência. De fato, vemos que a visualização antes reservada a domínio dos especialistas tem sido difundida para o grande público e em contextos cotidianos (Sorapure, 2019). A escalada das mídias sociais, o jornalismo de dados e uma cultura pautada na informação reforçam esse efeito.…”

Section: Motivaçãounclassified

Chart Lab: Uma ferramenta para o design de visualizações de dados em linguagem simples

Oliveira

Cappelli

Oliveira

2022

Anais Do X Workshop De Computação Aplicada Em Governo Eletrônico (WCGE 2022)

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Gráficos se difundiram como um meio atrativo e comum de divulgar informações. Porém, também se popularizaram os exemplos de projeções incorretas, confusas ou até mesmo manipuladas. Neste artigo, apresentamos uma proposta de ferramenta, o Chart Lab, para construir gráficos melhor entendidos principalmente por pessoas com baixo nível de letramento. A ferramenta se utiliza de um conjunto de diretrizes e boas práticas da literatura da área de visualizações de dados unidas às práticas da Linguagem Simples. A partir disso são avaliados os componentes de um gráfico e recomendadas alterações fundamentais que impactam diretamente na compreensão do leitor.

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Text, Image, Data, Interaction: Understanding Information Visualization

Cited by 22 publications

References 12 publications

Anthropographics in COVID-19 simulations

Anthropographics in COVID-19 simulations

The Human-Air Interface: Responding To Poor Air Quality Through Lived Experience and Digital Information

Chart Lab: Uma ferramenta para o design de visualizações de dados em linguagem simples

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