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Traceable learning effects by use of digital adaptive assistance in production

Iris Gräßler, Daniel Roesmann, Jens Pottebaum

2020Procedia Manufacturing16 citationsDOIOpen Access PDF

Abstract

Assembly processes require flexibility to adapt to customer-driven requirements. Digital assistance systems are used that guarantee both efficiency and robustness of the assembly process. Content and functionality need to be developed based on product and process specifications in product development. These allow an individually adaption for the employee. While there is extensive literature on various kinds of assembly assistance systems, there is little research on understanding the relationship of integrated assistance and the learning effect. The paper at hand presents findings of an experimental study. Probands perform an assembly task with simple building bricks. Assuming that they learned during this first execution, they re-iterate the task with reduced instructions. Whereas inexperienced users receive a detailed step-by-step instruction, users with more experience require less details. The effects of this adaptation on usability and learning impact are investigated. Therefore, the analysis is carried out based on ethnographic methods supported by a portable observation system. This research setup contributes a new possibility to trace learning impacts induced by digital assistance systems in assembly processes.

Topics & Concepts

UsabilityComputer scienceFlexibility (engineering)Task (project management)Process (computing)Adaptation (eye)Robustness (evolution)Human–computer interactionProcess managementEngineeringSystems engineeringOpticsStatisticsPhysicsOperating systemChemistryMathematicsBiochemistryGeneManufacturing Process and OptimizationDesign Education and PracticeUsability and User Interface Design
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