A Design Science Research Knowledge Base for Intelligence Amplification
Jean Paul Sebastian Piest is Researcher and PhD Candidate in the department High-tech Business and Entrepreneurship in the Business Information Systems section. (Co)Promotors are prof.dr. M.E. Iacob from the BMS faculty and dr.ir. M.J. van Sinderen from the EEMCS faculty. Co-supervisors are prof.dr. Y. Masuda from Tokyo University of Science and dr. K. Karaca from the BMS faculty.
Photo by Reza Jalilpour - JP Photography & Design
Current technological advancements in artificial intelligence drive the development of the super-smart information Society 5.0. and human-centred cyber-physical systems in Industry 5.0. However, the design of applications to amplify human intelligence is a non-trivial task and design knowledge lies scattered across literature. This dissertation presents a novel design science research knowledge base for intelligence amplification.
An interdisciplinary systematic literature review was conducted regarding the design of intelligence amplification applications, categorising descriptive and prescriptive knowledge from 176 studies. Based on the results, an interactive knowledge base system was proposed that can be used in design science research projects related to the design of intelligence amplification applications. Specifically, a domain reference ontology was developed for design science research knowledge bases. Following, an operational version of the domain reference ontology was developed in the form of an interactive knowledge base system to allow computer-based interpretation. The interactive knowledge base system was implemented to demonstrate its capability of answering knowledge questions and supporting the cumulative development of design knowledge regarding intelligence amplification in design science research projects.
Moreover, a practical design canvas, design method and supporting toolbox were developed to support professionals and practitioners to design, build, implement, and evaluate intelligence amplification applications. Action design research was employed for the iterative building, intervention, and evaluation of a design canvas, method, and toolbox in design workshops and learning communities in logistics and healthcare. Design principles were derived using reflection, learning, and accumulation of design knowledge. This eventually resulted in a new theory for the design and action of human-centric intelligence amplification applications.
Taken together, this dissertation provides a foundation for the cumulative development of design knowledge related to intelligence amplification and applications that contribute to the realisation of Society 5.0 and Industry 5.0.
