Supplementary materials for the article: Using ChatGPT for Human Computer Interaction Research: A Primer

Supplementary data for the paperTabone, W., &amp; De Winter, J. C. F. (2023). Using ChatGPT for Human–Computer Interaction Research: A Primer. Royal Society Open Science, 10, 231053.<br>This repository contains MATLAB scripts (tested in MATLAB R2023a), input data (source data read by the MATLAB scripts), and saved ChatGPT outputs for Study 1, 2, and 3 of the following research paper:<br>- Study1.m contains code for 2 different prompts, as well as different batch sizes (25 vs. 992), as described in the paper.- Study1_bootstrapping.m contains the code for the bootstrapping approach, also described in the paper.- Study1_randomness_test.m contains the code corresponding to the systematic variation of the temperature parameter described in the paper.- Study2.m contains the code that corresponds to the interview summary for the Virtual fence augmented reality (AR) interface.- Study2_16k_test.m contains the code of a trial, in which the entire interview was submitted all at once; something that has recently become possible with the 16k variant of the GPT-3.5 (not described in the paper)- Study2_content_analysis.m and Study2_content_analysis_16k contain code for attempts at letting GPT perform a content analysis of the interview (described in the discussion of the paper).- Study2_gpt4.m is similar to Study2.m but now adopts GPT-4 instead of GPT-3.5- Study3_bootstrapping.m is code for the bootstrapping approach of the transcripts, as described in the paper.

本数据集为论文《Tabone, W. 与 De Winter, J. C. F. (2023). 利用ChatGPT开展人机交互研究：入门指南》（*Royal Society Open Science*, 10, 231053）的补充数据。
本仓库包含对应该论文中研究1、2、3的MATLAB脚本（已在MATLAB R2023a版本中完成测试）、MATLAB脚本读取的输入源数据，以及已保存的ChatGPT输出结果，具体如下：
- Study1.m：包含论文中所述的两种不同提示词（Prompt）与两种批量大小（25 vs. 992）的实现代码。
- Study1_bootstrapping.m：包含论文中所述的自助法（bootstrapping）实现代码。
- Study1_randomness_test.m：包含对应论文中所述的温度参数系统性调变的实现代码。
- Study2.m：包含对应虚拟围栏增强现实（AR）界面的访谈摘要生成代码。
- Study2_16k_test.m：包含一项测试代码，即一次性提交完整访谈内容——该功能近期通过GPT-3.5的16k上下文版本得以实现，此内容未在论文中详述。
- Study2_content_analysis.m与Study2_content_analysis_16k：包含让GPT对访谈内容开展内容分析的尝试代码，对应论文讨论部分所述内容。
- Study2_gpt4.m：与Study2.m功能类似，但将所用模型替换为GPT-4而非GPT-3.5。
- Study3_bootstrapping.m：包含论文中所述的转录文本自助法实现代码。