A Human-Centered Perspective on Software Quality: Acceptance Criteria for Work 4.0

• Published in: Design, User Experience, and Usability: Theory, Methodology, and Management pp. 570 - 583
• Main Authors: Fischer, Holger, Engler, Michael, Sauer, Stefan
• Format: Book Chapter
• Language: English
• Published: Cham Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Acceptance; Digital assistance systems; Human-centered design; ISO/IEC 25010; Software quality; Work 4.0
• ISBN: 3319586335; 9783319586335
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-58634-2_42

The digitization of industrial manufacturing workflows results in an interconnection between employees, between employees and machines as well as between machines. Lots of information and data about past, current or even predicted states of products and machines arise. Workflows as well as work organization will change due to topics such as big data analytics, machine learning, predictive maintenance, or new work concepts. The direct and indirect interaction between digitization and all new processes of work design and work organization is subject of the research area Work 4.0. Digital assistance systems are able to support the employees in gathering, interpretation and communication with data, machines and colleagues. Despite all efforts, todays software products still lack of quality in respect of inadequate functionality and usability. Thus, current software engineering methods seems to be insufficient and software quality models seem to be only focused on technological acceptance instead of human-centered and business-centered acceptance. This paper presents a human-centered acceptance quality model and acceptance criteria for digital assistance systems with a focus on the industrial manufacturing context. The aim is to enrich the communication and integration of human-centered activities in software engineering methods supporting a common language and understanding of quality goals as well as of metrics for the evaluation of improvements due to the use of digital assistance systems.