An Experimental Evaluation of Information Visualization Techniques and Decision Style

Adnan, WanAdilah Wan; MdNoor, NorLaila; Aripin, Rasimah

doi:10.1007/978-3-540-73107-8_16

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Carpendale presents a comprehensive overview of specific methods for evaluating infovis tools [41]. In reviewing the literature around infovis evaluation, Goodall and Plaisant summarised infovis evaluation methods as falling into four categories [14], [43]: 1) Experiments with visualization tools are the most popular [19], [20], [43], [44] and generally find that more innovative infovis tools perform better across measured tasks. 2) Experiments with design elements are less popular than those with infovis tools, however specific infovis elements commonly explored in the literature appear to have little effect on performance [46].…”

Section: Evaluation Of Infovis Toolsmentioning

confidence: 99%

“…There are a number of challenges to visualizing complex multivariate data that stem from the necessity to present a high volume of rich information accurately and quickly to users with various levels of technical ability [15]- [18]. Adnan, Mdnoor and Aripin found that user decisions were significantly different depending on the visualisation method adopted [19] and Stasko and colleagues found that different infovis tools lead users toward different strategies [20]. Practically, Gonzalez and Kobsa found there are difficulties in getting infovis tools adopted in day to day operations of experts [21].…”

Section: Introductionmentioning

confidence: 98%

See 1 more Smart Citation

An Evaluation of the Circles Information Visualization Tool for Presenting Bayesian Network Output

Pitchforth

2013

2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation

View full text Add to dashboard Cite

Bayesian Networks are complex systems models that present rich output that can be difficult to communicate to users. In this paper a novel information visualization tool is evaluated for performance on accuracy, efficiency and user comprehension criteria. The visualization is tested across a range of user tasks, including identifying important information, inferring relationships between factors and comparing model outputs. While the interpretation of model output is less accurate for the visualization tool in question, this is balanced by significant gains in efficiency and user comprehension. It is suggested that the visualization is appropriate in contexts such as operational management where users refer to the tool often for support in making uncertain decisions, and can best be defined as a casual visualization to complement existing decision making activities on a daily basis.

show abstract

Section: Evaluation Of Infovis Toolsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

An Evaluation of the Circles Information Visualization Tool for Presenting Bayesian Network Output

Pitchforth

2013

2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation

View full text Add to dashboard Cite

show abstract

Cognitive Foundations for Visual Analytics

Greitzer¹,

Noonan²,

Franklin³

2011

View full text Add to dashboard Cite

SummaryDespite the growth of the visual analytics (VA) field, there has been limited systematic testing and evaluation to determine the effectiveness of VA solutions for improving knowledge discovery and decision making. The VA community acknowledges the need for a more scientific foundation to guide research on and evaluation of VA tools. A practical methodology and framework will not only inform the design of VA systems but also facilitate establishment of metrics to evaluate their effectiveness. This report describes the findings of a research project with the following scientific and operational objectives in support of the VA community: (a) Enhance understanding of the role of VA in knowledge discovery and insight; (b) Identify more rigorous scientific methods to evaluate effectiveness of VA tools; and (c) Inform design of deployable VA solutions based on this theoretical foundation.U.S. Department of Homeland Security end users do not merely want more displays and tools; they need operational/deployable solutions that enhance information processing and decision making. There is also a need for user testing methodologies and metrics to assess performance effectiveness of VA tools in operationally relevant contexts. To this end, the present research examined scientific literature in cognitive science, human factors, and related fields to identify concepts and research results that inform the application of VA technologies to meet operational challenges. By updating previous taxonomies for VA approaches and applications, we hope to provide a more comprehensive framework and benchmarks for this expanding field.In this report, we provide an overview of scientific/technical literature on information visualization and VA. Topics discussed include an update and overview of the extensive literature search conducted for this study, the nature and purpose of the field, major research thrusts, and scientific foundations. We review methodologies for evaluating and measuring the impact of VA technologies as well as taxonomies that have been proposed for various purposes to support the VA community. A cognitive science perspective underlies each of these discussions.The following conclusions and recommendations are provided for advancing the VA field and for continuing and expanding this research program in cognitive foundations for VA.Recommendations for future research:• More research is needed on sensemaking/problem solving and the analytic process to help align visualization technologies and representation techniques to user's mental models and thought processes.• Research is required to advance the science and engineering practices of VA tool evaluation.• Research is needed to develop more effective means of communicating the results of analyses to stakeholders (intuitive and natural ways of conveying findings as well as providing rationale and background information supporting the decisions and recommendations).• A more directed application of cognitive theories and results of empirical research on critical decisio...

show abstract

An Experimental Evaluation of Information Visualization Techniques and Decision Style

Cited by 2 publications

References 8 publications

An Evaluation of the Circles Information Visualization Tool for Presenting Bayesian Network Output

An Evaluation of the Circles Information Visualization Tool for Presenting Bayesian Network Output

Cognitive Foundations for Visual Analytics

Contact Info

Product

Resources

About