Design Intelligence – AI and Design Process Modules to Foster Collaboration Between Design, Data (Science) and Business Experts

Abstract

Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) are perceived as a new design material. Lack of user engagement and trust in these systems due to failure or other bad user experience is one results that comes with this issue. The age of AI therefore seeks for new, processes, methods and tools for Design, User Experience (UX) and Human-Computer Interaction (HCI) practitioners. This paper presents findings and insights from various case study research in the industrial AI domain. Collaboration between designers and data scientists is perceived as crucial asset in that regard. For the fruitful development of AI and ML infused systems, their processes and terminology need to be aligned to foster co-operative creativity. This is where the proposed solution of this paper contributes with a process framework of 7 modules with their related activities, their flow and dependencies.