DEVELOPMENT OF A FULLY FUNCTIONING ARTIFICIAL DESIGN TUTOR – A QUEST FOR REFRAMING INTELLIGENT TUTORING SYSTEMS
Year: 2024
Editor: Grierson, Hilary; Bohemia, Erik; Buck, Lyndon
Author: Berglund, Anders
Series: E&PDE
Institution: Mälardalen University, Sweden
Page(s): 581 - 586
DOI number: 10.35199/EPDE.2024.98
ISBN: 978-1-912254-200
ISSN: 3005-4753
Abstract
This paper presents a scrutinizing attempt to design an artificial design tutor (ADT) that can specifically support development task throughout the phases of product development. In the format of a conceptual paper, it is arguable important to consider how artificial intelligence can support task related aspects, and more complex process-oriented design processes, not as an immediate substitute but as a supplement. With the purpose to present the founding principles of an ADT, the full paper adds insights through a series of interviews with academics and professionals working in the field of AI. Today, we witness how advanced algorithms are used to target and propagate specified suggestions given the stage of design, and anticipate actions needed to validate and secure safe progression. The ADT is designed based on generative AI protocols and follows the escalating trend of utilizing more and more areas with AI tools to facilitate and improve existing processes. From Newsweek magazine alone, it has been stated that an astonishing numerous fully functioning AI apps released every week, and with a growth rate of 38% in 2023. The AI components in an ADT can contribute to improved decision-making processes, where machine learning algorithms may be used to improve the ADT’s ability to recognize and capture user preferences, emerging design trends, and successful design strategies. Consequently, given the range of scope these present, we still have not faced any ADT, which probably is connected to the complexity of the process itself. Given that the design process may clearly shift depending on context, there is still enormous amount of internal data points that could be crunched and analyzed to improve existing processes. Without completely surrender to automatic delivery and design an ADT function as a mediating and cost-efficient step for both companies and institutions. To evaluate, pilot programs in engineering and product design courses provide the opportunity to demonstrate its potential to revolutionize the educational landscape by fostering creativity, critical thinking, and practical skills in future engineers and designers. From a teacher point-of-view, adding an element of support like the ADT, can radically shift how human designated design tutors can enrich and support the depth and authenticity of design projects. On the other hand, there might be conflicting suggestions and more selection, probably adding more emphasis on working on validation and process refinement by students. This paper hope to inspire the community of Design Society and E&PDE in particular to further engage in the potential and risks of AI enabled support, and how ADT may influence existing processes.
Keywords: artificial design tutor, design process, complex design support