Abstract
The authors analyze the ability of ChatGPT to generate effective instructions for a consequential task: taking a COVID-19 test. They compare the output from a commercial prompt for generating these instructions to those provided by the test manufacturer. They also analyze the input, the prompt itself, to address prompt-engineering issues. The results show that although the output from ChatGPT exhibits certain conventions for documentation, the human-authored instructions from the manufacturer are superior in most ways. The authors conclude that when it comes to creating high-quality, consequential instructions, ChatGPT might be better seen as a collaborator than a competitor with human technical communicators.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 199-212 |
| Number of pages | 14 |
| Journal | Journal of Business and Technical Communication |
| Volume | 38 |
| Issue number | 3 |
| DOIs | |
| State | Published - Jul 2024 |
All Science Journal Classification (ASJC) codes
- Business and International Management
- Communication
- General Business, Management and Accounting