Methodologies for Studying Artificial Intelligence in Technical and Professional Communication
This article focuses on the unique ways that technical and professional communication (TPC) researchers can study artificial intelligence (AI) models that challenge the idea that humans and machines are separate yet equal entities. The authors present a brief definition of AI, a recap of HCI research paradigms, and a description of how AI models challenge traditional HCI research and how TPC researchers might respond to these challenges in their studies. Rather than presenting clear-cut methods for studying AI, the article highlights questions that researchers need to consider as they develop approaches for studying AI.
Authors
- Christine Masters-Wheeler (ORCID: https://orcid.org/0000-0002-2012-8509)
- Jennifer Bay (ORCID: https://orcid.org/0000-0003-2837-586X)
Institutions
- Francis Marion University (US)
- Purdue University West Lafayette (US)
Publication Details
- Journal
- Journal of Business and Technical Communication
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1177/10506519241280647
- Citations
- 2
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.70