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.

论文Tabone, W., & De Winter, J. C. F. (2023)《Using ChatGPT for Human–Computer Interaction Research: A Primer》的补充数据，该论文发表于《英国皇家学会开放科学》（Royal Society Open Science），第10卷，231053页。
本仓库包含MATLAB脚本（已在MATLAB R2023a中测试）、输入数据（供MATLAB脚本读取的源数据）以及下述研究论文中研究1、2、3的ChatGPT输出结果：
- Study1.m包含论文所述的两种不同提示词（prompt）代码，以及不同的批次大小（25与992）代码。
- Study1_bootstrapping.m包含论文所述的自举法（bootstrapping）代码。
- Study1_randomness_test.m包含论文所述的温度参数（temperature parameter）系统变化对应的代码。
- Study2.m包含虚拟围栏增强现实（AR）界面的访谈摘要对应的代码。
- Study2_16k_test.m包含一项试验的代码：将整个访谈一次性提交，这得益于GPT-3.5的16k变体（该内容未在论文中描述）。
- Study2_content_analysis.m和Study2_content_analysis_16k包含尝试让GPT对访谈进行内容分析的代码（该内容在论文的讨论部分有所描述）。
- Study2_gpt4.m与Study2.m类似，但采用GPT-4而非GPT-3.5。
- Study3_bootstrapping.m包含论文所述的转录本自举法（bootstrapping）对应的代码。