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A gamified and adaptive learning system for neurodivergent workers in electronic assembling tasks

dc.contributor.authorGrund, Jonas
dc.contributor.authorUmfahrer, Moritz
dc.contributor.authorBuchweitz, Lea
dc.contributor.authorGay, James
dc.contributor.authorTheil, Arthur
dc.contributor.authorKorn, Oliver
dc.contributor.editorAlt, Florian
dc.contributor.editorSchneegass, Stefan
dc.contributor.editorHornecker, Eva
dc.date.accessioned2020-09-16T07:52:37Z
dc.date.available2020-09-16T07:52:37Z
dc.date.issued2020
dc.description.abstractLearning 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.en
dc.description.urihttps://dl.acm.org/doi/10.1145/3404983.3410420en
dc.identifier.doi10.1145/3404983.3410420
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34304
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2020 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectaugmented reality
dc.subjectgamification
dc.subjectautism
dc.subjectconversational interfaces
dc.subjectassistive technology
dc.subjectcognitive and learning disabilities
dc.subjectvirtual agent
dc.titleA gamified and adaptive learning system for neurodivergent workers in electronic assembling tasksen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York
gi.citation.startPage491–494
gi.conference.date6.-9. September 2020
gi.conference.locationMagdeburg
gi.conference.sessiontitleMCI: Demo
gi.document.qualitydigidoc

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