A Gamified and Adaptive Learning System for
Neurodivergent Workers in Electronic Assembling Tasks
Jonas Grund, Moritz Umfahrer, Lea Buchweitz, James Gay, Arthur Theil, Oliver Korn
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 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.