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Usability Analysis of SmartPaint
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Image segmentation is the process of identifying and separating relevant objects and structures in an image. The purpose of segmentation is to simplify and/or change the representation of an image into something that is easier to analyze. SmartPaint is a software for semi-automatic segmentation of medical volume  images, developed by Filip Malmberg.  This thesis investigates whether SmartPaint is useful on several levels, such as usability, functionality and instructional effectiveness. The developer's ambition is that SmartPaint should be accessible to users without a background in computer science. Hence a formative usability study (Cooperative evaluation) was conducted, involving testing and interviewing participants. Given  the result from the study and feedback from the participants, design proposals are given. Furthermore, ideas on how to expand the functionality, the instructional effectiveness and the learnability of SmartPaint are given.

Place, publisher, year, edition, pages
IT, 14 051
National Category
Engineering and Technology
URN: urn:nbn:se:uu:diva-234484OAI: diva2:756794
Educational program
Bachelor Programme in Computer Science
Available from: 2014-10-20 Created: 2014-10-20 Last updated: 2014-10-20Bibliographically approved

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