Designing geovisual analytics environments and displays with humans in mind

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Systematic Variation of Preattentive Attributes to Highlight Relevant Data in Information Visualization

In information visualization (InfoVis), the Visualizers (graph designers and creators) have to consider multiple parameters, such as colors and graphic symbols, to obtain a chart that correctly represents a data set. Along with this, visualizers must adequately select the combination of these range of parameters to drive the observers’ attention to the relevant data. When a visualizer drives the attention to relevant aspects of the information, she is providing a starting point to read the graph; this focus point might help the observer to complete the task faster and more efficiently, minimizing distraction from unimportant information. Contemporary tools for InfoVis help visualizers to a certain extent, but most of them currently do not provide insights or suggestions about the modifications needed to drive data attention. This article presents the preliminary results of an exploratory approach to draw the attention to some specific data subset selected by the graph creator, through a systematic variation of some preattentive attributes (i.e., color, texture and orientation). As a first simple method to validate the feasibility of the approach, a set of charts is created from the same source data, with exhaustive variations on preattentive attributes. All generated charts are then automatically evaluated using a salience map algorithm for data analysis images, to identify their focus attention point. After that, the algorithm chooses the chart that best emphasizes the data subset initially specified by the visualizer. To validate our approach, we have implemented a prototype tool, and preliminary results confirm that it is possible to systematically change the attention area of a chart

MyBrush: Brushing and Linking with Personal Agency

We extend the popular brushing and linking technique by incorporating personal agency in the interaction. We map existing research related to brushing and linking into a design space that deconstructs the interaction technique into three components: source (what is being brushed), link (the expression of relationship between source and target), and target (what is revealed as related to the source). Using this design space, we created MyBrush, a unified interface that offers personal agency over brushing and linking by giving people the flexibility to configure the source, link, and target of multiple brushes. The results of three focus groups demonstrate that people with different backgrounds leveraged personal agency in different ways, including performing complex tasks and showing links explicitly. We reflect on these results, paving the way for future research on the role of personal agency in information visualization

MyBrush: Brushing and Linking with Personal Agency

We extend the popular brushing and linking technique by incorporating personal agency in the interaction. We map existing research related to brushing and linking into a design space that deconstructs the interaction technique into three components: source (what is being brushed), link (the expression of relationship between source and target), and target (what is revealed as related to the source). Using this design space, we created MyBrush, a unified interface that offers personal agency over brushing and linking by giving people the flexibility to configure the source, link, and target of multiple brushes. The results of three focus groups demonstrate that people with different backgrounds leveraged personal agency in different ways, including performing complex tasks and showing links explicitly. We reflect on these results, paving the way for future research on the role of personal agency in information visualization

Empirically measuring soft knowledge in visualization

In this paper, we present an empirical study designed to evaluate the hypothesis that humans’ soft knowledge can enhance the cost-benefit ratio of a visualization process by reducing the potential distortion. In particular, we focused on the impact of three classes of soft knowledge: (i) knowledge about application contexts, (ii) knowledge about the patterns to be observed (i.e., in relation to visualization task), and (iii) knowledge about statistical measures. We mapped these classes into three control variables, and used real-world time series data to construct stimuli. The results of the study confirmed the positive contribution of each class of knowledge towards the reduction of the potential distortion, while the knowledge about the patterns prevents distortion more effectively than the other two classes

Ocean Solutions, Earth Solutions

What affects the oceans affects terra firma. Ocean Solutions, Earth Solutions gathers the insights of more than 50 ocean and coastal science researchers exploring ocean components and their relationships, patterns, and trends over time and space. The book's 16 chapters feature geographic information system (GIS) best practices and include additional online resources.The book is edited by oceanographer and Esri Chief Scientist Dawn J. Wright and features a foreword by oceanographer David Gallo, director of special projects for the Woods Hole Oceanographic Institution in Massachusetts.Keywords: marine resource management, GIS, mapping, ocean conservation, ocean scienc

Saliency Prediction in the Data Visualization Design Process

L'abstract è presente nell'allegato / the abstract is in the attachmen

Interactive applications and rhetorical devices for guiding parent-clinician communication through data visualizations

Effective communication between clinicians and parents of young children can decrease parents' anxiety and discomfort, help them handle bad news and uncertainty, and improve their adherence to proposed interventions. Parent-clinician communication further has the potential to facilitate collaboration and increase parents' empowerment. However when communication involves a discussion of the child's developmental delay or challenging behaviors, parents experience an emotional strain as they discuss hopes and fears, developmental concerns, and feelings of distress. As a consequence, communication challenges may emerge such as denial and the parent's resistance against the information that the clinician presents. In addition to the emotional strain, parents also experience a cognitive burden due to medical jargon or presentation of data that is inaccessible to them. In fact, in most health care settings, parents reported their expectation of more accessible information than is currently provided. In order to address these challenges, I present data visualization as a method of facilitating parent-clinician communication. This dissertation covers the cognitive perception and the practical application of data visualization in parent-clinician communication through: (1) rhetorical devices that are used to guide people's understanding of data visualizations, and (2) interactive applications I have built that explore the role of data visualizations in clinical communication. Through exploring cognitive and practical aspects of visualizations in communication, this dissertation makes three contributions. First, I showcase three interactive webtools that involve visualizations, and demonstrate that visualizations can facilitate family-clinician communication through overcoming 1) the emotional barriers by presenting children's behaviors to parents in an objective manner and 2) the cognitive barriers by acting as an anchor for conversation and presenting important developmental concepts or patterns that are hard to convey through words or text. Next, I identify features that make behavioral visualizations useful for various communication based tasks, such as displaying microbehaviors and providing a balanced representation of child-adult interaction, instead of solely focusing on the child behavior. Finally, I present visual and textual cues as rhetorical devices for shaping the message in the visualization and guiding the viewers through visualizations. These devices help reduce confusion and prevent miscommunication in visual-based communication as thus contribute to a more effective parent-clinician communication

Comparing color and leader line highlighting strategies in coordinated view geovisualizations

In most coordinated view geovisualization tools, a transient visual effect is used to highlight observations across views when brushed with a mouse or other input device. Most current geovisualization and information visualization systems use colored outlines or fills to highlight observations, but there remain a wide range of alternative visual strategies that can also be implemented and compared to color highlighting to evaluate user performance. This paper describes the results of an experiment designed to compare user performance with two highlighting methods; color and leader lines. Our study methodology uses eye-tracking to capture participant eye fixations while they answer questions that require attention to highlighted observations in multiple views. Our results show that participants extract information as efficiently from coordinated view displays that use leader line highlighting to link information as they do from those that use a specific color to highlight items. We also found no significant differences when changing the color of the highlighting effect from red to black. We conclude that leader lines show significant potential for use as an alternative highlighting method in coordinated multiple view visualizations, allowing color to be reserved for representing thematic attributes of data