A Gamified and Adaptive Learning System for Neurodivergent Workers in Electronic Assembling Tasks
- Learning and work-oriented assistive systems are often designed to fit the workflow of neurotypical workers. Neurodivergent workers and individuals with learning disabilities often present cognitive and sensorimotor characteristics that are better accommodated with personalized learning and working processes. Therefore, we designed an adaptive learning system that combines an augmented interactionLearning and work-oriented assistive systems are often designed to fit the workflow of neurotypical workers. Neurodivergent workers and individuals with learning disabilities often present cognitive and sensorimotor characteristics that are better accommodated with personalized learning and working processes. Therefore, we designed an adaptive learning system that combines an augmented interaction space with user-sensitive virtual assistance to support step-by-step guidance for neurodivergent workers in electronic assembling tasks. Gamified learning elements were also included in the interface to provide self-motivation and praise whenever users progress in their learning and work achievements.…


| Dokumentart: | Konferenzveröffentlichung |
|---|---|
| Art der Konferenzveröffentlichung: | Konferenzartikel |
| Zitierlink: | https://opus.hs-offenburg.de/4366 | Bibliografische Angaben |
| Titel (Englisch): | A Gamified and Adaptive Learning System for Neurodivergent Workers in Electronic Assembling Tasks |
| Konferenzangaben: | MuC'20: Mensch und Computer 2020, Magdeburg Germany, September 2020 |
| Verfasserangaben: | Jonas Grund ORCiDGND, Moritz Umfahrer ORCiD, Lea Buchweitz GND, James Gay , Arthur Theil ORCiD, Oliver KornStaff MemberORCiDGND |
| Erscheinungsjahr: | 2020 |
| Urhebende Körperschaft: | Association for Computing Machinery |
| Verlagsort: | New York |
| Verlag: | ACM Press |
| Erste Seite: | 491 |
| Letzte Seite: | 494 |
| Titel des übergeordneten Werkes (Englisch): | Proceedings of the Conference on Mensch und Computer (MuC '20) |
| ISBN: | 978-1-4503-7540-5 |
| DOI: | https://doi.org/10.1145/3404983.3410420 |
| URL: | https://dl.acm.org/doi/10.1145/3404983.3410420 |
| Sprache: | Englisch | Inhaltliche Informationen |
| Fakultäten / Einrichtungen: | Fakultät Medien und Informationswesen (M+I) (bis 21.04.2021) |
| Forschung: | ACI - Affective and Cognitive Institute |
| Sammlungen der Hochschule Offenburg: | Bibliografie |
| Freies Schlagwort / Tag: | Assistive Technology; Gamification; Human Computrer Interaction; Impairments; Neurodivergent | Formale Angaben |
| Open-Access-Status: | Open Access |
| Bronze | |
| Lizenz (Deutsch): | Urheberrechtlich geschützt |




