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Author: 11796

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Narrative Scaffolding: A Narrative-First Framework for Data-Driven Sensemaking

When exploring data, analysts construct narratives about what the data means by asking questions, generating visualizations, reflecting on patterns, and revising their interpretations as new insights emerge. Yet existing analysis tools treat narrative as an afterthought, breaking the link between reasoning, reflection…

Oliver Huang et al.University of Toronto

From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews

Systematic Literature Reviews (SLRs) are fundamental to scientific progress, yet the process is hindered by a fragmented tool ecosystem that imposes a high cognitive load. This friction suppresses the iterative, exploratory nature of scholarly work. To investigate these challenges, we conducted an exploratory design s…

Runlong Ye et al.University of Toronto

Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis though Design for Deliberation

Reflexive Thematic Analysis (RTA) is a critical method for generating deep interpretive insights. Yet its core tenets, including researcher reflexivity, tangible analytical evolution, and productive disagreement, are often poorly supported by software tools that prioritize speed and consensus over interpretive depth.…

Runlong Ye et al.University of Toronto

Crowdsourced Think-Aloud Studies

The think-aloud (TA) protocol is a useful method for evaluating user interfaces, including data visualizations. However, TA studies are time-consuming to conduct and hence often have a small number of participants. Crowdsourcing TA studies would help alleviate these problems, but the technical overhead and the unknown…

Zach Cutler et al.University of Utah

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Beyond Time and Accuracy: Strategies in Visual Problem-Solving

In this paper, we explore viewers’ strategies in visual problem-solving tasks. We build on the traditional metrics of accuracy and time to better understand the learning that occurs as individuals interact with visualizations. We conducted an in-lab eye-tracking user study with 53 participants from diverse demographic…

Eric Mörth et al.Harvard University

Reading Between the Pixels: Investigating the Barriers to Visualization Literacy

In our current visual-centric digital age, the capability to interpret, understand, and produce visual representations of data —termed visualization literacy— is paramount. However, not everyone is adept at navigating this visual terrain. This paper explores the barriers that individuals who misread a visualization en…

Carolina Nobre et al.University of Toronto

What's the Rush?: Alternative Values in Navigation Technologies for Urban Placemaking

In the design of contemporary mapping technologies, effective navigation has become synonymous with the quickest route, limiting the extent to which people engage with the places they move in and around. This paper unsettles the prevalent focus on efficiency and explores opportunities to support placemaking during eve…

Taneea S Agrawaal et al.University of Toronto

The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix Visualizations

Matrix visualizations are widely used to display large-scale network, tabular, set, or sequential data. They typically only encode a single value per cell, e.g., through color. However, this can greatly limit the visualizations' utility when exploring multivariate data, where each cell represents a data point with mul…

Yalong Yang et al.Monash University

Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training

We present an observational study to compare co-located and situated real-time visualizations in basketball free-throw training. Our goal is to understand the advantages and concerns of applying immersive visualization to real-world skill-based sports training and to provide insights for designing AR sports training s…

Tica Lin et al.Harvard University

reVISit: Looking Under the Hood of Interactive Visualization Studies

Quantifying user performance with metrics such as time and accuracy does not show the whole picture when researchers evaluate complex, interactive visualization tools. In such systems, performance is often influenced by different analysis strategies that statistical analysis methods cannot account for. To remedy this…

Carolina Nobre et al.University of Toronto

Evaluating Multivariate Network Visualization Techniques Using a Validated Design and Crowdsourcing Approach

Visualizing multivariate networks is challenging because of the trade-offs necessary for effectively encoding network topology and encoding the attributes associated with nodes and edges. A large number of multivariate network visualization techniques exist, yet there is little empirical guidance on their respective s…

Carolina Nobre et al.University of Toronto

Paper Title	Authors	Research Topics	Paper Database	Year
Narrative Scaffolding: A Narrative-First Framework for Data-Driven Sensemaking When exploring data, analysts construct narratives about what the data means by asking questions, generating visualizations, reflecting on patterns, and revising their interpretations as new insights emerge. Yet existing analysis tools treat narrative as an afterthought, breaking the link between reasoning, reflection…	OH Oliver Huang et al.University of Toronto
From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews Systematic Literature Reviews (SLRs) are fundamental to scientific progress, yet the process is hindered by a fragmented tool ecosystem that imposes a high cognitive load. This friction suppresses the iterative, exploratory nature of scholarly work. To investigate these challenges, we conducted an exploratory design s…	RY Runlong Ye et al.University of Toronto
Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis though Design for Deliberation Reflexive Thematic Analysis (RTA) is a critical method for generating deep interpretive insights. Yet its core tenets, including researcher reflexivity, tangible analytical evolution, and productive disagreement, are often poorly supported by software tools that prioritize speed and consensus over interpretive depth.…	RY Runlong Ye et al.University of Toronto
Crowdsourced Think-Aloud Studies The think-aloud (TA) protocol is a useful method for evaluating user interfaces, including data visualizations. However, TA studies are time-consuming to conduct and hence often have a small number of participants. Crowdsourcing TA studies would help alleviate these problems, but the technical overhead and the unknown…	ZC Zach Cutler et al.University of Utah
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Beyond Time and Accuracy: Strategies in Visual Problem-Solving In this paper, we explore viewers’ strategies in visual problem-solving tasks. We build on the traditional metrics of accuracy and time to better understand the learning that occurs as individuals interact with visualizations. We conducted an in-lab eye-tracking user study with 53 participants from diverse demographic…	EM Eric Mörth et al.Harvard University
Reading Between the Pixels: Investigating the Barriers to Visualization Literacy In our current visual-centric digital age, the capability to interpret, understand, and produce visual representations of data —termed visualization literacy— is paramount. However, not everyone is adept at navigating this visual terrain. This paper explores the barriers that individuals who misread a visualization en…	CN Carolina Nobre et al.University of Toronto
What's the Rush?: Alternative Values in Navigation Technologies for Urban Placemaking In the design of contemporary mapping technologies, effective navigation has become synonymous with the quickest route, limiting the extent to which people engage with the places they move in and around. This paper unsettles the prevalent focus on efficiency and explores opportunities to support placemaking during eve…	TA Taneea S Agrawaal et al.University of Toronto
The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix Visualizations Matrix visualizations are widely used to display large-scale network, tabular, set, or sequential data. They typically only encode a single value per cell, e.g., through color. However, this can greatly limit the visualizations' utility when exploring multivariate data, where each cell represents a data point with mul…	YY Yalong Yang et al.Monash University
emoji_events Towards an Understanding of Situated AR Visualization for Basketball Free-Throw Training We present an observational study to compare co-located and situated real-time visualizations in basketball free-throw training. Our goal is to understand the advantages and concerns of applying immersive visualization to real-world skill-based sports training and to provide insights for designing AR sports training s…	TL Tica Lin et al.Harvard University
reVISit: Looking Under the Hood of Interactive Visualization Studies Quantifying user performance with metrics such as time and accuracy does not show the whole picture when researchers evaluate complex, interactive visualization tools. In such systems, performance is often influenced by different analysis strategies that statistical analysis methods cannot account for. To remedy this…	CN Carolina Nobre et al.University of Toronto
Evaluating Multivariate Network Visualization Techniques Using a Validated Design and Crowdsourcing Approach Visualizing multivariate networks is challenging because of the trade-offs necessary for effectively encoding network topology and encoding the attributes associated with nodes and edges. A large number of multivariate network visualization techniques exist, yet there is little empirical guidance on their respective s…	CN Carolina Nobre et al.University of Toronto