The goal of this paper is establishing if we can satisfactorily perform a Thematic Analysis (TA) of semi-structured interviews using a Large Language Model (more precisely GPT3.5-Turbo). Building on previous work by the author, which established an embryonal process for conducting a TA with the model, this paper will perform a further analysis and then cover the last phase of a TA (phase 6), which entails the writing up of the result. This phase was not covered by the previous work. In particular, the focus will be on using the results of a TA done with the LLM on a dataset of user interviews, for writing user personas, with the model building on the TA to produce the personas narratives. User personas are models of real users, usually built from a data analysis like interviews with a sample of users. User personas are tools often used in User Centered Design processes. The paper shows that the model can build basic user personas with an acceptable quality deriving them from themes, and that the model can serve for the generation of ideas for user personas.

翻译：本文旨在验证是否可以使用大语言模型（更具体地说是GPT3.5-Turbo）令人满意地完成半结构化访谈的主题分析（TA）。基于作者先前的研究（该研究建立了利用该模型进行TA的初步流程），本文将进行进一步分析，并涵盖TA的最后一个阶段（第六阶段），即结果的撰写。先前的研究未涉及这一阶段。特别地，本文聚焦于利用基于LLM的用户访谈数据集TA结果来撰写用户画像，模型在TA基础上生成画像叙述。用户画像是对真实用户的模型化表示，通常基于用户样本访谈等数据分析构建。作为用户中心设计流程中常用的工具，本文证明该模型能够从主题中推导出基本用户画像，且质量可接受，同时模型可用于辅助生成用户画像的构思。