M
Marta Larusdottir
Researcher at Reykjavík University
Publications - 62
Citations - 840
Marta Larusdottir is an academic researcher from Reykjavík University. The author has contributed to research in topics: Agile software development & Usability. The author has an hindex of 12, co-authored 55 publications receiving 716 citations. Previous affiliations of Marta Larusdottir include Royal Institute of Technology.
Papers
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Journal ArticleDOI
Heuristic evaluation: Comparing ways of finding and reporting usability problems
TL;DR: An empirical study of a framework to evaluate the effectiveness of different types of support for structured usability problem reporting found that there were no significant differences between any of the four groups in effectiveness, efficiency and inter-evaluator reliability.
Book ChapterDOI
Existing but not explicit - The user perspective in scrum projects in practice
TL;DR: Interviewing IT professionals using Scrum shows that the responsibility for the user perspective is unclear in Scrum projects, and that often the users’ perspective is neither discussed nor described in the projects.
Journal ArticleDOI
Whose Experience Do We Care About? Analysis of the Fitness of Scrum and Kanban to User Experience
TL;DR: A conceptual analysis was conducted and it was tended to conclude that Lean instantiated as Kanban fits UX work better than AgileInstantiated as Scrum, irrespective of the process they adopted.
Journal ArticleDOI
Informal feedback rather than performance measurements – user-centred evaluation in Scrum projects
TL;DR: An interview study of 21 informants, categorised in four different professional roles, shows that various forms of feedback are indeed gathered on the usability and user experience of the software, system or service being developed.
Measuring the User Experience of a Task Oriented Software
TL;DR: The user experience results show that the group of questions that measure the personal growth of the user got the lowest scores for this product, but pragmatic attributes, hedonic identification and attraction got much higher scores.