Comparing Different ChatGPT4.0 Generated Oriented Word Suggestions as Design Fixation Interferences for the Ideation Phase in Design Thinking
摘要
The purpose of this article is to present a comparative case study (CCS) methodology in the generation of lists of words suggestions as interference to the phenomenon of fixation of the design in the ideation phase of a Design Thinking (DT) process. The base line is a random list of suggestions from the Large Language Model (LLM) ChatGPT 4.0. While the more advanced first lists of suggestions are related to knowledge from the discipline of the problem and the second list of suggestions is specifically not related to the discipline of the problem. This CCS is qualitative and use the Design Research Science Methodology (DSRM).