Designing Gaze-Aware Attention Feedback for Learning in Mixed Reality

Liu, Shi; Toreini, Peyman; Maedche, Alexander

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Zusammenfassung

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.

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BibTeX

Liu, S., Toreini, P. & Maedche, A., (2022). Designing Gaze-Aware Attention Feedback for Learning in Mixed Reality. In: Mühlhäuser, M., Reuter, C., Pfleging, B., Kosch, T., Matviienko, A., Gerling, K. S., Heuten, W., Döring, T., Müller, F. & Schmitz, M. (Hrsg.), Mensch und Computer 2022 - Tagungsband. New York: ACM. (S. 495-500). DOI: 10.1145/3543758.3547565

@inproceedings{mci/Liu2022,
author = {Liu, Shi AND Toreini, Peyman AND Maedche, Alexander},
title = {Designing Gaze-Aware Attention Feedback for Learning in Mixed Reality},
booktitle = {Mensch und Computer 2022 - Tagungsband},
year = {2022},
editor = {Mühlhäuser, Max AND Reuter, Christian AND Pfleging, Bastian AND Kosch, Thomas AND Matviienko, Andrii AND Gerling, Kathrin|Mayer, Sven AND Heuten, Wilko AND Döring, Tanja AND Müller, Florian AND Schmitz, Martin} ,
pages = { 495-500 } ,
doi = { 10.1145/3543758.3547565 },
publisher = {ACM},
address = {New York}
}

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