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Designing Gaze-Aware Attention Feedback for Learning in Mixed Reality

Liu, Shi ORCID iD icon 1; Toreini, Peyman 1; Maedche, Alexander 1
1 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)

Abstract:

Mixed Reality (MR) has demonstrated its potential in the application field of education. In particular, in contrast to traditional learning, students using MR get the possibility of learning and exploring the content in a self-directed way. Meanwhile, research in learning technology has revealed the significance of supporting learning activities with feedback. Since such feedback is often missing in MR-based learning environments, we propose a solution of using eye-tracking in MR to provide gaze-aware attention feedback to students and evaluate it with potential users in a preliminary user study.


Preprint §
DOI: 10.5445/IR/1000150509
Veröffentlicht am 12.09.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2022
Sprache Englisch
Identifikator KITopen-ID: 1000150509
Erschienen in Pfleging, B., Gerling, K. & Mayer, S. (Hrsg.), Mensch und Computer 2022 - Tagungsband
Veranstaltung Mensch und Computer (MuC 2022), Darmstadt, Deutschland, 04.09.2022 – 07.09.2022
Verlag Association for Computing Machinery (ACM)
Seiten 495-500
Externe Relationen Abstract/Volltext
Nachgewiesen in Dimensions
Scopus
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