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Behind the Screens: Exploring Eye Movement Visualization to Optimize Online Teaching and Learning

dc.contributor.authorSauter, Marian
dc.contributor.authorWagner, Tobias
dc.contributor.authorHirzle, Teresa
dc.contributor.authorLin, Bao Xin
dc.contributor.authorRukzio, Enrico
dc.contributor.authorHuckauf, Anke
dc.contributor.editorStolze, Markus
dc.contributor.editorLoch, Frieder
dc.contributor.editorBaldauf, Matthias
dc.contributor.editorAlt, Florian
dc.contributor.editorSchneegass, Christina
dc.contributor.editorKosch, Thomas
dc.contributor.editorHirzle, Teresa
dc.contributor.editorSadeghian, Shadan
dc.contributor.editorDraxler, Fiona
dc.contributor.editorBektas, Kenan
dc.contributor.editorLohan, Katrin
dc.contributor.editorKnierim, Pascal
dc.date.accessioned2023-08-24T05:29:12Z
dc.date.available2023-08-24T05:29:12Z
dc.date.issued2023
dc.description.abstractThe effective delivery of e-learning relies on the continuous monitoring and management of students' attention. While instructors in traditional classroom settings can readily assess crowd attention through gaze cues, these cues are largely unavailable in online learning environments. To address this challenge and highlight the significance of our study, we collected eye movement data from twenty students and developed four visualization methods: (a) a heat map, (b) an ellipse map, (c) two moving bars, and (d) one vertical bar, which were overlaid on 13 instructional videos. Our findings revealed unexpected preferences among instructors. Contrary to expectations, they did not favor the established heat map and vertical bar for live online teaching. Instead, they opted for the less intrusive ellipse visualization. Despite this, the heat map remained the preferred choice for retrospective analyses due to its more detailed information. Importantly, all visualizations were deemed useful and contributed to re-establishing emotional connections in online learning. In conclusion, our innovative visualizations of crowd attention demonstrate considerable potential for a broad range of applications, extending beyond e-learning to encompass all online presentations and retrospective analyses. The significant outcomes of our study underscore the crucial role these visualizations will play in enhancing both the effectiveness and emotional connectedness of future e-learning experiences, thereby facilitating the educational landscape.en
dc.description.uri"https://dl.acm.org/doi/"&R7en
dc.identifier.doi10.1145/3603555.3603560
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/42030
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2023 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectonline teaching
dc.subject gaze visualizations
dc.subject education
dc.subject learning
dc.subject eye tracking
dc.subject quantitative methods
dc.titleBehind the Screens: Exploring Eye Movement Visualization to Optimize Online Teaching and Learningen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York
gi.citation.startPage67-80
gi.conference.date3.-6. September 2023
gi.conference.locationRapperswil
gi.conference.sessiontitleMCI-SE02: Method Development & Exploration

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