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ThinkMind // ACHI 2023, The Sixteenth International Conference on Advances in Computer-Human Interactions // View article achi_2023_4_130_20070

Involving Users in the Development of AI-Supported CAM Systems by Co-Creation Methods

Authors:
Nina Rußkamp
Lorena Niebuhr
Eva-Maria Jakobs

Keywords: user perspective; co-creation; computer-aided-manufacturing; artificial intelligence; software training.

Abstract:
In many German key industries, the process planning for manufacturing workpieces is carried out with Computer-Aided Manufacturing (CAM) systems. Shorter innovation cycles and greater product customization in the industry 4.0 era are rapidly increasing the complexity of products and CAM systems, making it even for experienced CAM planners challenging to carry out their work on time. This is also because CAM systems are still difficult to use and learn. The research and development project CAM2030 aims to partially automate parameter optimization in the CAM-planning process with the help of artificial intelligence, cloud computing, and evolutionary algorithms. The aim is to save time, get closer to the perfect process planning, and relieve the user. An interdisciplinary team of experts from industry and academia is developing approaches for a new generation of CAM systems. This paper focuses on how co-creation facilitates the involvement of software users in developing new software generations that integrate new technologies, such as artificial intelligence. A methodological co-creation framework was developed to continuously incorporate the actors involved in the innovation process. The framework was applied to the project case study to investigate (i) the potential of the co-creation framework for eliciting user expectations relevant to acceptance and usability, and (ii) what retraining needs the integration of artificial intelligence requires and how users could be supported when switching to the new system. The co-creation approach shows a high potential to integrate the user’s (CAM planner’s) perspective in interdisciplinary innovation processes. It facilitated the identification of general and selective relearning needs induced by redesigning CAM-planning processes, the system (interface), and the integration of novel technologies. Applying this knowledge to the design and implementation of new software generations benefits the users and companies; it makes the system introduction easier, faster, and less prone to disruptions. Future research should provide guidance for introducing new generations of CAM software and accompanying the transformation process.

Pages: 140 to 145

Copyright: Copyright (c) IARIA, 2023

Publication date: April 24, 2023

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-68558-078-0

Location: Venice, Italy

Dates: from April 24, 2023 to April 28, 2023

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