CoLoTiMa: A Cognitive-Load Based Time Management Tool
| dc.contributor.author | Maleck, Moritz | |
| dc.contributor.author | Gross, Tom | |
| dc.date.accessioned | 2024-10-08T15:13:02Z | |
| dc.date.available | 2024-10-08T15:13:02Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Time management has the potential to maintain the learning and working productivity. Prominent techniques—such as Pomodoro—typically suggest to alternate productive periods and breaks. They are mostly time-based and lack adaptability to individual preferences and cognitive workloads. In the context of learning, this leads to suboptimal learning experiences, with rigid time structures hindering productivity and reducing efficiency. We introduce CoLoTiMa, a novel approach that dynamically adjusts learning period durations. It integrates real-time cognitive-load measurements and user self-assessment to tailor learning experiences. Through the use of eye-tracking, CoLoTiMa optimises the duration of learning blocks in accordance with individual learning preferences and thus fosters personalised and efficient outcomes. | en |
| dc.identifier.doi | 10.1145/3670653.3677485 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/44901 | |
| dc.language.iso | en | |
| dc.pubPlace | New York, NY, USA | |
| dc.publisher | Association for Computing Machinery | |
| dc.relation.ispartof | Proceedings of Mensch und Computer 2024 | |
| dc.title | CoLoTiMa: A Cognitive-Load Based Time Management Tool | en |
| dc.type | Text/Conference Paper | |
| gi.citation.startPage | 690–694 | |
| gi.conference.location | Karlsruhe, Germany |