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This dissertation by Kahin Akram Hassan explores user-centered evaluations of visualizations for temporal data, aimed at enhancing understanding and insights across various domains. The research focuses on developing effective visual analysis tools by considering user needs and data structures. It involves five user studies assessing different visualization techniques, such as radial designs for cyclic data, 2D and 3D parallel coordinates for pattern finding, and visual analytics tools for multivariate temporal datasets. The studies highlight the importance of selecting appropriate visualizations to facilitate user insights and underscore the role of user collaboration in creating effective tools. The work is intended for researchers and professionals in data visualization and analysis.

Information visualization. --- Visual analytics.