A gaze-based study design to explore how competency evolves during a photo manipulation task
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Nora Castner, Bela Umlauf, Ard Kastrati, Martyna Beata Płomecka, William Schaefer, Enkelejda Kasneci, Zoya BylinskiiAuthors Info & Claims
Article No.: 37, Pages 1 - 3
References
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Ryan Lewien. 2021. GazeHelp: exploring practical gaze-assisted interactions for graphic design tools. In ACM Symposium on Eye Tracking Research and Applications. 1–4.
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Oscar Navarro, Ana Isabel Molina, Miguel Lacruz, and Manuel Ortega. 2015. Evaluation of multimedia educational materials using eye tracking. Procedia-Social and Behavioral Sciences 197 (2015), 2236–2243.
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Joni Salminen, Mridul Nagpal, Haewoon Kwak, Jisun An, Soon-gyo Jung, and Bernard J Jansen. 2019. Confusion prediction from eye-tracking data: experiments with machine learning. In Proceedings of the 9th International Conference on Information Systems and Technologies. 1–9.
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Kshitij Sharma, Michail Giannakos, and Pierre Dillenbourg. 2020. Eye-tracking and artificial intelligence to enhance motivation and learning. Smart Learning Environments 7, 1 (2020), 1–19.
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Published In
June 2022
408 pages
ISBN:9781450392525
DOI:10.1145/3517031
- Editors:
- Frederick Shic,
- Enkelejda Kasneci,
- Mohamed Khamis,
- Hans Gellersen,
- Enkelejda Kasneci,
- Krzysztof Krejtz,
- Daniel Weiskopf,
- Tanja Blascheck,
- Jessica Bradshaw,
- Hana Vrzakova,
- Kamran Binaee,
- Michael Burch,
- Peter Kiefer,
- Roman Bednarik,
- Diako Mardanbegi,
- Christopher Clarke,
- Rakshit Kothari,
- Vijay Rajanna,
- Sampath Jayarathna,
- Arantxa Villanueva,
- Adham Atyabi,
- Shahram Eivazi
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Association for Computing Machinery
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Published: 08 June 2022
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