Research (Click Here to View Paper)
Associated with Tsinghua University, Beijing, China
With the development of new technologies such as social media and sensing, more data-based user insight methods are emerging. The emergence of Large Language Models (LLMs) and automated insight methods for understanding multidimensional data provides an opportunity to address this problem.
In this research, we mainly focused on those three questions:
We first created a five-dimensional (5D) dataset toolkit for scenarios where older adults drink water and take medication, and then recruited 20 researchers experienced in user research to participate in the experiment. We found that utilizing the Data Insight Iteration(New method ) method can boost efficiency, providing tailored, credible, and credible analytical conclusions that align with the researcher’s background. However, it has current technical limitations, handling only a singular data format.