There are a variety of helpful resources for designers (e.g., books, blogs) that describe best practices for data visualization. While these resources often provide useful recommendations, they sometimes fail to offer explanations about how these visual representations support human cognition and perception. For example, why should we provide time-series trends, limit the use of color, and strive for visual interpretations of values? What is it about human attention, memory, and situation awareness that make some data visualization techniques more effective than others? This presentation will give an overview of some best practices of data visualization and will provide a discussion of why they benefit human perception and performance.
Mike Crites is an Experience Designer within the Honeywell User Experience (HUE) design studio. Mike is also currently enrolled in the Experimental Psychology: Human Factors doctoral program at Texas Tech University (TTU). Mike holds a BS in Psychology with minors in Statistics and Cognitive Science from the University of Central Florida, and an MA in Human Factors from TTU. While at TTU, Mike has taught undergraduate and graduate level statistics, and undergraduate psychology and human factors courses. While at HUE, Mike is currently working on UX projects within multiple domains that involve heuristic evaluation, contextual inquiry, usability testing, and experimental design (among other fun things).
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