Track: Industry 4.0

Abstract

This study intended to gain initial insights into which technical design options of cognitive assistance systems for manual assembly are predicted to have a higher acceptance between future potential users. The methodology is based on combining previously obtained results, indicating which acceptance factors are the most important in this field, together with new generated data with the same participants on the appreciated relevance of relationships between these factors and today existing technical design options. Combining both results numerically enables a final qualitative statement about preference tendencies inside each of those technical assistance aspects of cognitive systems, identified by experts as the most relevant for potential future users. The results show a higher acceptance tendency for hand-carried/mobile, documentation-based, dialogical assistance systems with a high adjustment level for the assistance, a selective assistance frequency, an intervention module both while work process and by the result as well as a task-oriented assistance and the omission of at least personal-related data. Based on these results, planners should be able to find better orientation, when designing a cognitive assistance systems for manual assembly.