Paper Number
1560
Paper Type
Short Paper
Abstract
Vocational trainings play a crucial role in conveying task-related knowledge to incoming workforce. A type of knowledge which is particularly valuable yet challenging and costly to convey is tacit knowledge (TK), i.e., person-bound, non-verbalized knowledge. Augmented Reality (AR) is an innovative technology with the potential to enhance the conveyance of TK in a cost-effective way. By overlaying virtual instructions onto trainees' real-world environment in real time, AR can provide interactive training for TK tasks. To investigate how AR can effectively complement human instructors in conveying TK, we conduct a randomized, controlled field experiment with vocational trainees of a Western-European utility company. We find that TK is most effectively conveyed if AR-based training is implemented as a prequel to human instructor-based training. Our results imply that complementary AR-based training allows organizations to train their workforce effectively and to deploy their valuable human resources more efficiently.
Recommended Citation
Pfaff, Alexander and Spann, Martin, "Man and Machine: AR-Based Vocational Training for Tacit Knowledge Tasks" (2024). ECIS 2024 Proceedings. 6.
https://aisel.aisnet.org/ecis2024/track13_learning_teach/track13_learning_teach/6
Man and Machine: AR-Based Vocational Training for Tacit Knowledge Tasks
Vocational trainings play a crucial role in conveying task-related knowledge to incoming workforce. A type of knowledge which is particularly valuable yet challenging and costly to convey is tacit knowledge (TK), i.e., person-bound, non-verbalized knowledge. Augmented Reality (AR) is an innovative technology with the potential to enhance the conveyance of TK in a cost-effective way. By overlaying virtual instructions onto trainees' real-world environment in real time, AR can provide interactive training for TK tasks. To investigate how AR can effectively complement human instructors in conveying TK, we conduct a randomized, controlled field experiment with vocational trainees of a Western-European utility company. We find that TK is most effectively conveyed if AR-based training is implemented as a prequel to human instructor-based training. Our results imply that complementary AR-based training allows organizations to train their workforce effectively and to deploy their valuable human resources more efficiently.
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