Design and Implementation of a User Centered Design Framework for Software Development

Abstract

The concept and methodology known as Usercentred Design (UCD) puts the user at the center and concentrates on cognitive aspects as they relate to how people interact with objects. In order to overcome biassed decisionmaking, automated AI-based decision support systems need to be able to be used, trusted, and accepted. Design criteria for AI-based decision support systems in traditional craftsmanship are therefore required. In this contribution, we examined the relationships between user acceptance and a user-centred design by evaluating three distinct applications in a mixedmethod user research (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{N} \mathbf{D}=20$</tex>) that included both qualitative (think aloud) and quantitative (survey) components. Starting with research-related planning agreements, the context is established by interviewing the parties who agreed in the first stage, the needs are ascertained through user assessments, the System Usability Scale (SUS) method is used to determine the results, a prototype is designed based on the findings of the third step, and UI evaluation is conducted using the same method when evaluating the UI AI running in the third stage to demonstrate whether or not there has been a significant improvement. It took into account technological adoption, usability, and planning objectivity and efficiency. The findings imply that while AI-based decision support systems improve speed and objectivity, usability, acceptance, and confidence depend on user-centred design. Given that automated options were not as often questioned, it makes sense to give the decision maker the last say. It produces practical recommendations for the development of AI-based manufacturing support systems.