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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.show moreshow less

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Author:Jonas GrundORCiD, Moritz Umfahrer, Lea BuchweitzGND, James Gay, Arthur TheilORCiD, Oliver KornORCiDGND
Creating Corporation:Association for Computing Machinery
Publisher:ACM Press
Place of publication:New York
Year of Publication:2020
ISBN:978-1-4503-7540-5
Language:English
Tag:Assistive Technology; Gamification; Human Computrer Interaction; Impairments; Neurodivergent
Parent Title (English):Proceedings of the Conference on Mensch und Computer (MuC '20)
First Page:491
Last Page:494
Document Type:Conference Proceeding
Open Access:Frei zugänglich
Institutes:Bibliografie
Release Date:2020/12/17
Licence (German):License LogoEs gilt das UrhG
Note:
Konferenz: MuC'20: Mensch und Computer 2020, Magdeburg Germany, September 2020
URL:https://dl.acm.org/doi/10.1145/3404983.3410420
DOI:https://doi.org/10.1145/3404983.3410420