Behind the Screens: Exploring Eye Movement Visualization to Optimize Online Teaching and Learning
dc.contributor.author | Sauter, Marian | |
dc.contributor.author | Wagner, Tobias | |
dc.contributor.author | Hirzle, Teresa | |
dc.contributor.author | Lin, Bao Xin | |
dc.contributor.author | Rukzio, Enrico | |
dc.contributor.author | Huckauf, Anke | |
dc.contributor.editor | Stolze, Markus | |
dc.contributor.editor | Loch, Frieder | |
dc.contributor.editor | Baldauf, Matthias | |
dc.contributor.editor | Alt, Florian | |
dc.contributor.editor | Schneegass, Christina | |
dc.contributor.editor | Kosch, Thomas | |
dc.contributor.editor | Hirzle, Teresa | |
dc.contributor.editor | Sadeghian, Shadan | |
dc.contributor.editor | Draxler, Fiona | |
dc.contributor.editor | Bektas, Kenan | |
dc.contributor.editor | Lohan, Katrin | |
dc.contributor.editor | Knierim, Pascal | |
dc.date.accessioned | 2023-08-24T05:29:12Z | |
dc.date.available | 2023-08-24T05:29:12Z | |
dc.date.issued | 2023 | |
dc.description.abstract | The 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/"&R7 | en |
dc.identifier.doi | 10.1145/3603555.3603560 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/42030 | |
dc.language.iso | en | |
dc.publisher | ACM | |
dc.relation.ispartof | Mensch und Computer 2023 - Tagungsband | |
dc.relation.ispartofseries | Mensch und Computer | |
dc.subject | online teaching | |
dc.subject | gaze visualizations | |
dc.subject | education | |
dc.subject | learning | |
dc.subject | eye tracking | |
dc.subject | quantitative methods | |
dc.title | Behind the Screens: Exploring Eye Movement Visualization to Optimize Online Teaching and Learning | en |
dc.type | Text/Conference Paper | |
gi.citation.publisherPlace | New York | |
gi.citation.startPage | 67-80 | |
gi.conference.date | 3.-6. September 2023 | |
gi.conference.location | Rapperswil | |
gi.conference.sessiontitle | MCI-SE02: Method Development & Exploration |