A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space

Annotations are a vital component of data externalization and collaborative analysis, directing readers' attention to important visual elements. Therefore, it is crucial to understand their design space for effectively annotating visualizations. However, despite their widespread use in visualization, we have identified a lack of a design space for common practices for annotations. In this paper, we present two studies that explore how people annotate visualizations to support effective communication. In the first study, we evaluate how visualization students annotate bar charts when answering high-level questions about the data. Qualitative coding of the resulting annotations generates a taxonomy comprising enclosure, connector, text, mark, and color, revealing how people leverage different visual elements to communicate critical information. We then extend our taxonomy by performing thematic coding on a diverse range of real-world annotated charts, adding trend and geometric annotations to the taxonomy. We then combine the results of these studies into a design space of annotations that focuses on the key elements driving the design choices available when annotating a chart, providing a reference guide for using annotations to communicate insights from visualizations

Data-ink Ratio and Task Complexity in Graph Comprehension

Human processing of graphical information is a topic which has wide-reaching implications for decision-making in a variety of contexts. A deeper understanding of the processes of graphical perception can lead to the development of design guidelines which can enhance performance in graphical perception tasks. This study evaluates the data-ink ratio guideline, which recommends the removal of non-data graph elements, resulting in minimalist graph designs. In an experiment, participants answered graph comprehension questions using bar graphs and boxplots with varying data-ink ratios. Participants answered questions with similar levels of accuracy and mental effort. Some participants drew on graphs, reducing the data-ink ratio of high and medium data-ink stimuli. Additionally, expert interviews were conducted regarding graph use, graph creation, and opinions about the data-ink concept and example graphs. Interviewees had a variety of opinions and preferences with regard to graph design, many of which were dependent upon the specific circumstances of presentation. Most interviewees did not think that high data-ink graph designs were superior. These results suggest that data-ink maximization does not improve performance in graph comprehensions tasks, and that arguments regarding the data-ink ratio deal with the subjective issue of graph aesthetics

Literature review of visual representation of the results of benefit–risk assessments of medicinal products

Background The PROTECT Benefit–Risk group is dedicated to research in methods for continuous benefit–risk monitoring of medicines, including the presentation of the results, with a particular emphasis on graphical methods. Methods A comprehensive review was performed to identify visuals used for medical risk and benefit–risk communication. The identified visual displays were grouped into visual types, and each visual type was appraised based on five criteria: intended audience, intended message, knowledge required to understand the visual, unintentional messages that may be derived from the visual and missing information that may be needed to understand the visual. Results Sixty-six examples of visual formats were identified from the literature and classified into 14 visual types. We found that there is not one single visual format that is consistently superior to others for the communication of benefit–risk information. In addition, we found that most of the drawbacks found in the visual formats could be considered general to visual communication, although some appear more relevant to specific formats and should be considered when creating visuals for different audiences depending on the exact message to be communicated. Conclusion We have arrived at recommendations for the use of visual displays for benefit–risk communication. The recommendation refers to the creation of visuals. We outline four criteria to determine audience–visual compatibility and consider these to be a key task in creating any visual. Next we propose specific visual formats of interest, to be explored further for their ability to address nine different types of benefit–risk analysis information

Freeform User Interfaces for Graphical Computing

報告番号: 甲15222 ; 学位授与年月日: 2000-03-29 ; 学位の種別: 課程博士 ; 学位の種類: 博士(工学) ; 学位記番号: 博工第4717号 ; 研究科・専攻: 工学系研究科情報工学専

How to tell stories using visualization: strategies towards narrative visualization

Os benefícios da utilização das narrativas são desde há muito conhecidos e o seu potencial para simplificar conceitos, transmitir valores culturais e experiências, criar ligações emocionais e capacidade para ajudar a reter a informação tem sido explorado em diferentes áreas. As narrativas não são só a principal forma como as pessoas obtêm o sentido do mundo, mas também a forma mais fácil que encontrámos para partilhar informações complexas. Devido ao seu potencial, as narrativas foram recentemente abordadas na área da Visualização de Informação e do Conhecimento, muitas vezes apelidada de Visualização Narrativa. Esta questão é particularmente importante para os media, uma das áreas que tem impulsionado a investigação em Visualização Narrativa. A necessidade de incorporar histórias nas visualizações surge da necessidade de partilhar dados complexos de um modo envolvente. Hoje em dia somos confrontados com a elevada quantidade de informação disponível, um desafio difícil de resolver. Os avanços da tecnologia permitiram ir além das formas tradicionais de narrativa e de representação de dados, dando-nos meios mais atraentes e sofisticados para contar histórias. Nesta tese, exploro os benefícios da introdução de narrativas nas visualizações. Adicionalmente também exploro formas de combinar histórias com a visualizações e métodos eficientes para representar e dar sentido aos dados de uma forma que permite que as pessoas se relacionem com a informação. Esta investigação está bastante próxima da área do jornalismo, no entanto estas técnicas podem ser aplicadas em diferente áreas (educação, visualização científica, etc.). Para explorar ainda mais este tema foi adotada um avaliação que utiliza diferentes metodologias como a tipologia, vários casos de estudo, um estudo com grupos de foco, e ainda estudos de design e análise de técnicas.The benefits of storytelling are long-known and its potential to simplify concepts, convey cultural values and experiences, create emotional connection, and capacity to help retain information has been explored in di erent areas, such as journalism, education, marketing, and others. Narratives not only have been the main way people make sense of the world, but also the easiest way humans found out to share complex information. Due to its potential narratives have also recently been approached in the area of Information and Knowledge Visualization, several times being referred to as Narrative Visualization. This matter is also particularly important for news media, one of the areas that has been pushing the research on Narrative Visualization. The necessity to incorporate storytelling in visualizations arises from the need to share complex data in a way that is engaging. Nowadays we also have the challenge of the high amount of information available, which can be hard to cope with. Advances in technology have enabled us to go beyond the traditional forms of storytelling and representing data, giving us more attractive and sophisticated means to tell stories. In this dissertation, I explore the benefits of infusing visualizations with narratives. In addition I also present ways of combining storytelling with visualization and e cient methods to represent and make sense of data in a way that allows people to relate with the information. This research is closely related to journalism, but these techniques can be applied to completely di erent areas (education, scientific visualization, etc.). To further explore this topic a mixedmethod evaluation that consists of a typology, several case studies and a focus group study was chosen, as well as design studies and techniques review. This dissertation is intended to contribute to the evolving understanding of the field of narrative visualization

Understanding and Supporting Trade-offs in the Design of Visualizations for Communication.

A shift in the availability of usable tools and public data has prompted mass manufacturing of information visualizations to communicate data insights to broad audiences. Despite available software, professional and novice creators of visualizations that are intended to communicate data insights to broad audiences may struggle to balance conflicting considerations in design. Studying professional practice suggests that expert visualization designers and analysts negotiate difficult design trade-offs in creating customized visualizations, many of which involve deciding how and how much data to present given a priori design goals. This dissertation presents three studies that demonstrate how studying expert visual design and data modeling practice can advance visualization design tools. Insights from these formative studies inform the development of specific frameworks and algorithms. The first study addresses the often ignored, persuasive dimension of narrative visualizations. The framework I propose characterizes the persuasive dimension of visualization design by providing empirical evidence of several classes of rhetorical design strategies that trade-off comprehensive, unbiased data presentation goals with intentions to persuade users toward intended interpretations. The rhetorical visualization framework highlights a second trade-off: the act of dividing and sequencing information from a multivariate data set in separate visualizations for ordered presentation. I contribute initial evidence of ordering principles that designers apply to ease comprehension and support storytelling goals with a visualization presentation. The principles are used in developing a novel algorithmic approach to supporting designers of visualizations in making decisions related to visualization presentation order and structuring, highlighting the importance of optimizing for both local or “single visualization” design in tandem with global “sequence” design. The final design trade-off concerns how to convey uncertainty to end-users in order to support accurate conclusions despite diverse educational backgrounds. I demonstrate how non-statistician end-users can produce more cautious and at times more accurate estimates of the reliability of data patterns through the use of a comparative sample plots method motivated by statistical resampling approaches to modeling uncertainty. Taken together, my results deepen understanding of the act of designing visualizations for potentially diverse online audiences, and provide tools to support more effective design.PHDInformationUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/107170/1/jhullman_1.pd

Does It Make a Difference? Data Vizualizations and the Use of Research and Evaluation Reports.

Ph.D. Thesis. University of Hawaiʻi at Mānoa 2018

Interfaces for creating quantitative conceptual diagrams

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 71-73).Modern chart-making, illustration, and mathematical tools poorly support the use of conceptual components in quantitative graphs such as Economics diagrams. The substantial time those tools require to achieve the desired results leads many people to sketch their graphs with pencil and paper instead of using a computer. In this thesis, I address the challenge of designing a software user interface that not only includes all features necessary to create a wide range of quantitative conceptual diagrams, but also is dramatically more efficient to use than existing programs. My design takes several important interaction techniques that previous applications used separately and comprehensively integrates them in order to create new, flexible capabilities. I have implemented this design as a desktop application called Graph Sketcher, and I present results of studies which show that my interface halves the time required to complete several common graph creation tasks. I also show that the 700 students, teachers, professionals, and hobbyists worldwide who choose to use Graph Sketcher in their everyday work nd the interface intuitive, enjoyable, and empowering for generating many different types of graphs.by Robin S. Stewart.S.M