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Eva-Catherine Hillemann
Researcher at Graz University of Technology
Publications - 13
Citations - 141
Eva-Catherine Hillemann is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Digital library & Visual analytics. The author has an hindex of 6, co-authored 13 publications receiving 131 citations. Previous affiliations of Eva-Catherine Hillemann include University of Graz.
Papers
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Journal ArticleDOI
A Competence-based Service for Supporting Self-Regulated Learning in Virtual Environments
TL;DR: A conceptual approach and a Web-based service that aim at supporting self-regulated learning in virtual environments and have been evaluated in user studies in university courses on computer science to demonstrate the usefulness of the overall approach.
Book ChapterDOI
User needs for enhanced engagement with cultural heritage collections
Mark S. Sweetnam,Maristella Agosti,Nicola Orio,Chiara Ponchia,Christina Steiner,Eva-Catherine Hillemann,Micheál Ó Siochrú,Séamus Lawless +7 more
TL;DR: The paper outlines a taxonomy of intended users for this system and describes in detail the characteristics and requirements of these users for the facilitation and enhancement of their engagement with and use of textual and visual cultural artefacts.
Journal Article
User Needs for Enhanced Engagement with Cultural Heritage Collections
Mark S. Sweetnam,Maristella Agosti,Nicola Orio,Chiara Ponchia,Christina Steiner,Eva-Catherine Hillemann,Micheál Ó Siochrú,Séamus Lawless +7 more
TL;DR: In this article, the authors present a taxonomy of intended users for this system and describe in detail the characteristics and requirements of these users for the facilitation and enhancement of their engagement with and use of textual and visual cultural artefacts.
Proceedings ArticleDOI
A Framework for Cognitive Bias Detection and Feedback in a Visual Analytics Environment
TL;DR: A framework that supports the detection and mitigation of cognitive biases in visual analytics environments for criminal analysis and describes a model, how the possible occurence of the confirmation bias can be detected automatically, while the analyst makes use of the visual environment.
Journal ArticleDOI
Gamification and Smart, Competence-Centered Feedback: Promising Experiences in the Classroom
TL;DR: A light weight tool for learning and practicing multiplications, designed and developed a game-like, attractive user interface and integrated aspects of competition and strong positive effects of an individualized and meaningful feedback about achievements and progress are found.