Miriah Meyer’s research while affiliated with Linköping University and other places

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Publications (94)


Entanglements for Visualization: Changing Research Outcomes through Feminist Theory
  • Article

September 2024

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13 Reads

IEEE Transactions on Visualization and Computer Graphics

Derya Akbaba

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Lauren Klein

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Miriah Meyer

A growing body of work draws on feminist thinking to challenge assumptions about how people engage with and use visualizations. This work draws on feminist values, driving design and research guidelines that account for the influences of power and neglect. This prior work is largely prescriptive, however, forgoing articulation of how feminist theories of knowledge — or feminist epistemology — can alter research design and outcomes. At the core of our work is an engagement with feminist epistemology, drawing attention to how a new framework for how we know what we know enabled us to overcome intellectual tensions in our research. Specifically, we focus on the theoretical concept of entanglement, central to recent feminist scholarship, and contribute: a history of entanglement in the broader scope of feminist theory; an articulation of the main points of entanglement theory for a visualization context; and a case study of research outcomes as evidence of the potential of feminist epistemology to impact visualization research. This work answers a call in the community to embrace a broader set of theoretical and epistemic foundations and provides a starting point for bringing feminist theories into visualization research.


Entanglements for Visualization: Changing Research Outcomes through Feminist Theory

July 2024

·

4 Reads

A growing body of work draws on feminist thinking to challenge assumptions about how people engage with and use visualizations. This work draws on feminist values, driving design and research guidelines that account for the influences of power and neglect. This prior work is largely prescriptive, however, forgoing articulation of how feminist theories of knowledge— or feminist epistemology — can alter research design and outcomes. At the core of our work is an engagement with feminist epistemology, drawing attention to how a new framework for how we know what we know enabled us to overcome intellectual tensions in our research. Specifically, we focus on the theoretical concept of entanglement, central to recent feminist scholarship, and contribute: a history of entanglement in the broader scope of feminist theory; an articulation of the main points of entanglement theory for a visualization context; and a case study of research outcomes as evidence of the potential of feminist epistemology to impact visualization research. This work answers a call in the community to embrace a broader set of theoretical and epistemic foundations and provides a starting point for bringing feminist theories into visualization research.



"Two Heads are Better than One": Pair-Interviews for Visualization

August 2023

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10 Reads

Visualization research methods help us study how visualization systems are used in complex real-world scenarios. One such widely used method is the interview --- researchers asking participants specific questions to enrich their understanding. In this work, we introduce the pair-interview technique as a method that relies on two interviewers with specific and delineated roles, instead of one. Pair-interviewing focuses on the mechanics of conducting semi-structured interviews as a pair, and complements other existing visualization interview techniques. Based on a synthesis of the experiences and reflections of researchers in four diverse studies who used pair-interviewing, we outline recommendations for when and how to use pair-interviewing within visualization research studies.



Here’s what you need to know about my data: Exploring Expert Knowledge’s Role in Data Analysis.

March 2023

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45 Reads

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1 Citation

Data driven decision making has become the gold standard in science, industry, and public policy. Yet data alone, as an imperfect and partial representation of reality, is often insufficient to make good analysis decisions. Knowledge about the context of a dataset, its strengths and weaknesses, and its applicability for certain tasks is essential. In this work, we present an interview study with analysts from a wide range of domains and with varied expertise and experience inquiring about the role of contextual knowledge. We provide insights into how data is insufficient in analysts workflows and how they incorporate other sources of knowledge into their analysis. We also suggest design opportunities to better and more robustly consider both, knowledge and data in analysis processes.


Troubling Collaboration: Matters of Care for Visualization Design Study

February 2023

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4 Reads

A common research process in visualization is for visualization researchers to collaborate with domain experts to solve particular applied data problems. While there is existing guidance and expertise around how to structure collaborations to strengthen research contributions, there is comparatively little guidance on how to navigate the implications of, and power produced through the socio-technical entanglements of collaborations. In this paper, we qualitatively analyze reflective interviews of past participants of collaborations from multiple perspectives: visualization graduate students, visualization professors, and domain collaborators. We juxtapose the perspectives of these individuals, revealing tensions about the tools that are built and the relationships that are formed — a complex web of competing motivations. Through the lens of matters of care, we interpret this web, concluding with considerations that both trouble and necessitate reformation of current patterns around collaborative work in visualization design studies to promote more equitable, useful, and care-ful outcomes.


Data Hunches: Incorporating Personal Knowledge Into Visualizations

September 2022

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16 Reads

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20 Citations

IEEE Transactions on Visualization and Computer Graphics

The trouble with data is that it frequently provides only an imperfect representation of a phenomenon of interest. Experts who are familiar with their datasets will often make implicit, mental corrections when analyzing a dataset, or will be cautious not to be overly confident about their findings if caveats are present. However, personal knowledge about the caveats of a dataset is typically not incorporated in a structured way, which is problematic if others who lack that knowledge interpret the data. In this work, we define such analysts' knowledge about datasets as data hunches . We differentiate data hunches from uncertainty and discuss types of hunches. We then explore ways of recording data hunches, and, based on a prototypical design, develop recommendations for designing visualizations that support data hunches. We conclude by discussing various challenges associated with data hunches, including the potential for harm and challenges for trust and privacy. We envision that data hunches will empower analysts to externalize their knowledge, facilitate collaboration and communication, and support the ability to learn from others' data hunches.


Representative still images from each of the chapters of the SARS-CoV-2 life cycle animation
Visit https://coronavirus-annotation-3.sci.utah.edu/ to watch the animation that is embedded in the annotation and commenting tool. If you’d like to download the animation or view it outside of the tool, you can do so on Vimeo: https://vimeo.com/510310488.
Key capabilities and features of the web-based annotation and commenting tool
These include in particular a time outline with branched chapters representing alternative hypotheses that can be viewed independently (A); annotations provided by animators (B); comments and questions the community (C); both annotations and comments are also highlighted in a clear overview (D). Visit https://coronavirus-annotation-3.sci.utah.edu/ to try it yourself!
A new tool for annotating scientific animations and supporting scientific dialogue
  • Article
  • Full-text available

August 2022

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38 Reads

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1 Citation

A new interactive annotation interface supports a detailed molecular animation of the SARS-CoV-2 life cycle. With this tool, users can interactively explore the data used to create the animation and engage in scientific discourse through comments and questions. A new tool for annotating scientific animations enables users to interactively explore the data used to create the animation and engage in scientific discourse through comments and questions. Iwasa and colleagues demonstrate its power with an animation of the life cycle of SARS-CoV-2.

Download

An Interview Method for Engaging Personal Data

December 2021

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57 Reads

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11 Citations

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Whether investigating research questions or designing systems, many researchers and designers need to engage users with their personal data. However, it is difficult to successfully design user-facing tools for interacting with personal data without first understanding what users want to do with their data. Techniques for raw data exploration, sketching, or physicalization can avoid the perils of tool development, but prevent direct analytical access to users' rich personal data. We present a new method that directly tackles this challenge: the data engagement interview. This interview method incorporates an analyst to provide real-time personal data analysis, granting interview participants the opportunity to directly engage with their data, and interviewers to observe and ask questions throughout this engagement. We describe the method's development through a case study with asthmatic participants, share insights and guidance from our experience, and report a broad set of insights from these interviews.


Citations (53)


... Our semi-structured interviews were conducted in a pair-interview setup [2]. Three paper authors took on the roles of driver and navigator, keeping the driver consistent for each interview, but where needed, navigators alternated. ...

Reference:

Understanding Visualization Authoring Techniques for Genomics Data in the Context of Personas and Tasks
“Two Heads are Better than One”: Pair-Interviews for Visualization
  • Citing Conference Paper
  • October 2023

... Third, it would facilitate the creation of transparent and modular visual analytics modules [31,67]. Finally, it would support the creation of provenance-aware pipelines that can be used to recover past states [3,11,58,75], including visualizations discarded in the design process [1]. ...

Troubling Collaboration: Matters of Care for Visualization Design Study
  • Citing Conference Paper
  • April 2023

... While researchers have developed prototype tools for automating chart annotation, the implementations have been fairly limited. For example, Contextifier [12] is limited to a set of 11 stocks and corresponding financial news articles for the years 2010-2012, limiting its applicability to more general data sets. ...

Data Hunches: Incorporating Personal Knowledge Into Visualizations
  • Citing Article
  • September 2022

IEEE Transactions on Visualization and Computer Graphics

... We then report the protocol they followed and the methods we used to analyze their experiences. Building on the methodology of Moore et al. [62], our study delved into the longitudinal interactions that participants had with their data. We aimed to gain insight into how people's menstrual-tracking motivations and behaviors evolve over time, and we also aimed to understand the questions and discoveries participants generated from their data. ...

An Interview Method for Engaging Personal Data

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

... To examine the gaps in the analysis of personal informatics, which is especially relevant in the context of analyzing questionnaire data, where flexibility in approaches to information processing is often required [10]. The authors identified the need to devise more flexible tools for the analysis of personal data, which would make it possible to take into account the diverse and dynamic needs of users. ...

Exploring the Personal Informatics Analysis Gap: ?There's a Lot of Bacon?
  • Citing Article
  • October 2021

IEEE Transactions on Visualization and Computer Graphics

... Annotations further support provenance by adding metadata and aiding complex analyses. Some methods infer analysts' intents through annotations linked to provenance steps [205], [207]. Algorithms that use usergenerated annotations as keyframes help preserve critical insights and decisions while minimizing unnecessary steps, creating concise summaries of interactive network analysis [211]. ...

Predicting intent behind selections in scatterplot visualizations

Information Visualization

... 62 and 63], to approaches aimed at a broader application [e.g. [64][65][66][67][68][69][70][71], in an effort to overcome the implications of the spatio-temporal variations of the ambient aerosol. Because of the complex nature of the sources of bias, the application of a particular calibration to other types of aerosol (size distribution and chemical composition) in laboratory studies or to other settings (in time and/or space) in eld studies, degrades the quality of the results, 41,72 e.g. when the dominant source of PM is dust or smoke. ...

Community-Based Measurements Reveal Unseen Differences during Air Pollution Episodes
  • Citing Article
  • December 2020

Environmental Science and Technology

... This iterative process is crucial for the evolution of design science, ensuring that the field continues to produce rigorously tested and scientifically sound contributions [41]. In domains such as mobile health (mHealth), the replication of DSR projects is crucial for refining solutions, identifying their limitations, and furthering technological and practical progress [42]. By adhering to the principles of the Rigor Cycle, researchers ensure their work serves as a foundation for future inquiries and innovations rather than existing in isolation. ...

Insights From Experiments With Rigor in an EvoBio Design Study
  • Citing Article
  • October 2020

IEEE Transactions on Visualization and Computer Graphics

... In the 1980s, ssTEM was used for mapping the connectome of C. elegans 1 . Later on, ssTEM was used to acquire 3D EM datasets of multiple C. elegans 21,22 , an entire fly larval brain 23 , normal and pathological retinas 24,25 , and mouse cortex 26,27 . Recently, automation and parallelization of TEM 26,28,29 have allowed imaging of ever larger volumes, such as a complete adult fly brain 2 and a cubic millimeter volume of mammalian cortex 30 . ...

Network Architecture of Gap Junctional Coupling among Parallel Processing Channels in the Mammalian Retina

The Journal of Neuroscience : The Official Journal of the Society for Neuroscience

... Dense LCS network data can support environmental justice studies at finer spatial and temporal scales than available with many other air quality information sources. LCS have been used to investigate exposure disparities under specific conditions, such as atmospheric inversions (Mullen et al., 2020) or fireworks displays (Esie et al., 2022), which might be masked when looking at more spatially aggregated and temporally averaged exposure data available from other information sources. The ability of LCS to support local air quality reconstruction (discussed in Section 3) and source identification (discussed in Section 4) also support their utility in identifying and investigating air quality issues at community scale. ...

Patterns of distributive environmental inequity under different PM2.5 air pollution scenarios for Salt Lake County public schools
  • Citing Article
  • April 2020

Environmental Research