Data is Personal: Attitudes and Perceptions of Data Visualization in Rural Pennsylvania

@article{Peck2019DataIP,
  title={Data is Personal: Attitudes and Perceptions of Data Visualization in Rural Pennsylvania},
  author={Evan M. Peck and Sofia E. Ayuso and Omar El-Etr},
  journal={Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems},
  year={2019}
}
Many of the guidelines that inform how designers create data visualizations originate in studies that unintentionally exclude populations that are most likely to be among the 'data poor'. In this paper, we explore which factors may drive attention and trust in rural populations with diverse economic and educational backgrounds - a segment that is largely underrepresented in the data visualization literature. In 42 semi-structured interviews in rural Pennsylvania (USA), we find that a complex… 

Figures and Tables from this paper

The Public Life of Data: Investigating Reactions to Visualizations on Reddit
TLDR
The characteristics and motivations of people’s reactions to posts featuring visualizations on Reddit are examined to understand the role of personal perspectives on data and inform future interfaces that integrate audience reactions into visualizations to foster a public discourse about data.
Showing Data About People: A Design Space of Anthropographics
TLDR
This work introduces a conceptual framework and a design space for anthropographics, which consists of seven elementary design dimensions that can be reasonably hypothesized to have some effect on prosocial feelings or behavior.
Seeing in Context
TLDR
How this rural tradition differs from the modern information communication practices is discussed, discussing how an understanding of traditional practices for representing information can be useful in developing more accessible, and culturally appropriate modern tools and technologies for the people of rural Bangladesh and similar communities.
Data Visualisation Literacy in Higher Education: An Exploratory Study of Understanding of a Learning Dashboard Tool
TLDR
This exploratory research study was undertaken to develop a method to assess perceived usefulness and confidence in reporting dashboards within higher education by adapting existing research in-struments and showed there is a consensus that re-spondents perceive their data visualisation literacy is higher than they believe their peers to be.
Topography of Violence
Based on a collaborative visualization design process involving sensitive historical data and historiographical expertise, we investigate the relevance of ethical principles in visualization design.
The Next Billion Users of Visualization
TLDR
This work proposes a call to action for the visualization community to identify opportunities and use cases where users can benefit from visualization; develop universal design principles; extend evaluations by including the general population; and engage with a wider global population.
Topography of Violence: Considerations for Ethical and Collaborative Visualization Design
TLDR
An approach to the visualization of sensitive data, which features both conceptual and procedural considerations for visualization design, is developed and provides value for both visualization researchers and practitioners.
Making the Invisible Visible: Risks and Benefits of Disclosing Metadata in Visualization
TLDR
This work discusses some of the potential benefits and risks of disclosing five kinds of metadata about the source of the underlying data, and proposes a few open research questions related to how to communicate metadata about visualizations.
Mapping the Landscape of COVID-19 Crisis Visualizations
TLDR
An analysis of 668 COVID-19 crisis visualizations is presented and a conceptual framework derived from this analysis is presented, that examines who, (uses) what data, (to communicate) what messages, in what form, under what circumstances in the context of CO VID-19risis visualizations.
Visualization as infrastructure: China’s data visualization politics during COVID-19 and their implications for public health emergencies
  • Luming Zhao, WeiMing Ye
  • Art
    Convergence: The International Journal of Research into New Media Technologies
  • 2022
In this article, we analyze the rise of data visualization in social and political contexts. Against the background of the COVID-19 pandemic, we consider a case in Shenzhen, China, and demonstrate
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 81 REFERENCES
Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation
TLDR
It was found that social information that exhibits a high degree of consensus lead participants to recall the data more accurately relative to participants who were exposed to the data alone and trusted the accuracy of the data less.
Data Visualization Literacy and Visualization Biases: Cases for Merging Parallel Threads
TLDR
This chapter highlights research in cognitive biases, that has established that there are relationships between the impact of biases and factors such as experience and cognitive ability and provides examples of how visualization literacy measures may have led to different results in studies.
Communication-minded visualization : A call to action
TLDR
This paper proposes a new perspective, communication-minded visualization (CMV), which recognizes that data analysis is often a process involving intense communication among various stakeholders, in collocated or remote settings.
How do People Make Sense of Unfamiliar Visualizations?: A Grounded Model of Novice's Information Visualization Sensemaking
TLDR
A grounded model of NOvice's information VIsualization Sensemaking (NOVIS model), which consists of the five major cognitive activities: 1 encountering visualization, 2 constructing a frame, 3 exploring visualization, 4 questioning the frame, and 5 floundering on visualization are introduced.
Studying Biases in Visualization Research: Framework and Methods
TLDR
This chapter proposes and discusses a lightweight framework to help organize research questions that arise around biases in visualization and visual analysis, inspired by Norman's Human Action Cycle and classifies biases into three levels: perceptual biases, action biases, and social biases.
A Framework for Studying Biases in Visualization Research
In this position paper, we propose and discuss a lightweight framework to help organize research questions that arise around biases in visualization and visual analysis. We contrast our framework
The Effects of Adding Search Functionality to Interactive Visualizations on the Web
TLDR
It is found that the presence of text-based search influences people's information-seeking goals, search can alter the data that people explore and how they engage with it, and the effects are amplified in visualizations where people are familiar with the underlying dataset.
Explaining the Gap: Visualizing One's Predictions Improves Recall and Comprehension of Data
TLDR
It is found that participants who are prompted to reflect on their prior knowledge by predicting and self-explaining data outperform a control group in recall and comprehension and persist when participants have moderate or little prior knowledge on the datasets.
How Information Visualization Novices Construct Visualizations
TLDR
An exploratory laboratory study in which information visualization novices explored fictitious sales data by communicating visualization specifications to a human mediator, who rapidly constructed the visualizations using commercial visualization software found that three activities were central to the iterative visualization construction process: data attribute selection, visual template selection, and visual mapping specification.
Showing People Behind Data: Does Anthropomorphizing Visualizations Elicit More Empathy for Human Rights Data?
TLDR
Contrary to expectations, it is consistently found that anthropomorphized data graphics and standard charts have very similar effects on empathy and prosocial behavior.
...
1
2
3
4
5
...