Anecdotal observation of the way in which data visualisation techniques are utilised to present relationships in data to audiences informed the author's view that data visualisation had not evolved to utilise the capabilities of ubiquitous business computer equipment. In an information rich but attention poor business environment, a search for a new tool was undertaken to supplement those techniques available to help audiences understand statistical relationships in presentation data. This search resulted in the development of a practical software tool based on animated Venn diagrams (Dvenn) that attempted to exploit the inherent human ability to perceive quantities visually, a faculty described herein as visual numeracy. The exploitation of this faculty is considered here to be a valuable aid for group understanding of business presentation data. The development of the tool was an essential part of the research that was undertaken and the resulting software forms a significant portion of this practise based research. The aim of the software development was to develop a readily accessible tool that could be utilised in a non-specialist business environment to better facilitate an honest shared meaning of numerical data between a presenter and their audience. The development of the tool progressed through a number of iterations and the software that accompanies this work is an important component that needs to be viewed in conjunction with the text. The test of the final version was undertaken with undergraduate University students in an attempt to validate the efficacy of the data visualisation technique. The test of the Dvenn software was made against the mature yardstick of scatter-plots. Interestingly, the correlations presented by scatter-plot were not as readily identified as would have been assumed, however, the results for the Dvenn tests were not supportive of the technique for widespread adoption. Nevertheless, further research into the best method of harnessing visual numeracy would seem to be justified.

Auditory graphsdisplays that represent graphical, quantitative information with soundhave the potential to make graphical representations of data more accessible to blind students and researchers as well as sighted people. No research to date, however, has systematically addressed the attributes of data that contribute to the complexity (the ease or difficulty of comprehension) of auditory graphs. A pair of studies examined the role of both data density (i.e., the number of discrete data points presented per second) and the number of trend reversals for both point estimation and trend identification tasks with auditory graphs. For the point estimation task, results showed main effects of both variables, with a larger effect attributable to performance decrements for graphs with more trend reversals. For the trend identification task, a large main effect was again observed for trend reversals, but an interaction suggested that the effect of the number of trend reversals was different across lower data densities (i.e., as density increased from 1 to 2 data points per second). Results are discussed in terms of data sonification applications and rhythmic theories of auditory pattern perception.

Front projection is an economical method to produce large displays. However, the twin problems of occlusions, which create shadows on the screen, and light projected onto users near the screen, potentially blinding them, makes front projection a poor fit for large upright interactive surfaces. Virtual Rear Projection (VRP) uses multiple redundant front projectors to provide the user experience of using a rear projected display. By using a projector-camera system to mitigate shadows and blinding light, a virtual rear projected display significantly improves upon the user experience of a traditional front projected display, allowing it to replace a rear projected display. In this thesis we characterize the problems caused by shadows and occlusions and develop projection technologies that mitigate shadows and blinding light. We also present a laboratory performance evaluation, and a user evaluation of the technology showing that VRP improves the user experience with respect to traditional front projection.

Thesis (Ph. D.)--University of Washington, 2001. / Vita. Includes bibliographical references (p. 155-162).

Thesis (M.B.Sc.)--Victoria University of Wellington, 2007. / Includes bibliographical references.

Thesis (Ph.D)--Computing, Georgia Institute of Technology, 2009. / Committee Chair: Stasko, John; Committee Member: Bartram, Lyn; Committee Member: Catrambone, Richard; Committee Member: Guzdial, Mark; Committee Member: Mynatt, Elizabeth. Part of the SMARTech Electronic Thesis and Dissertation Collection.

No description available.

Knowledge workers are frequently called upon to perform deep, critical reading involving a heightened level of interaction with the reading media and other tools. This process, known as active reading, entails highlighting, commenting upon, and flipping through a text, in addition to other actions. While paper is traditionally seen as the ideal medium for active reading, computers have recently become comparable to paper through replicating the latter’s affordances. But even paper is not a panacea; it offers an inflexible document representation that supports some things well, such as embellishment, but supports others very poorly, like comparison and large scale annotation. In response to this, I developed a prototype system, called LiquidText, to embody a flexible, high degree-of-freedom visual representation that seeks to alleviate some of the problems in paper and paper-like representations. To provide efficient control of this representation, LiquidText runs on a multi-finger touch and gesture based platform. To guide the development of this system, I conducted a formative study of current active reading practice. I investigated knowledge workers’ active reading habits, perceptions, and the problems they face with current reading media. I also inquired into what they would like in a future active reading environment. I used these results in conjunction with multiple design iterations and formative system evaluations to refine LiquidText for use in a summative study. The summative study assessed, through a controlled, laboratory evaluation, LiquidText’s impact on 1) the subjective experience of active reading, 2) the process of active reading, and 3) the outputs resulting from active reading. Generally, the study found a strong participant preference for LiquidText, and a focus on the creation of a summary of the original document as part of the reading process. On average, reading outputs were not significantly better or worse with LiquidText, but some conditions were observed that may help identify the subset of people for whom LiquidText will result in an improvement.

A tremendous amount of information is produced in the world around us, both as a product of our daily lives and as artifacts of our everyday work. An emerging area of Human-Computer Interaction (HCI) focuses on helping individuals manage this flood of information. Prior research shows that multiple displays can improve an individual user's ability to deal with large amounts of information, but it is unclear whether these advantages extend for teams of people. This is particularly relevant as more employees are spending large portions of their workdays in meetings My contribution to HCI research is empirical fieldwork and laboratory studies investigating how multiple shared displays improve aspects of teamwork. In particular, I present an insight-based evaluation method for analyzing how teams collaborate on a data-intensive sensemaking task. Using this method, I show how the presence and location of multiple shared displays impacted the meeting process with respect to performance, collaboration, and satisfaction. I also illustrate how multiple shared displays engaged team members who might not have otherwise contributed to the collaboration process. Finally, I present Mimosa, a software tool developed to visualize large volumes of time series data. Mimosa combines aspects of information visualization with data analysis, facilitating a deep and iterative exploration of relationships within large datasets.

Thesis(M.S.)--Auburn University, 2006. / Abstract. Vita. Includes bibliographic references (p.56-59).