Work

Methodologies for Studying Artificial Intelligence in Technical and Professional Communication

Year: 2024

Type: article

Abstract: 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.

Source: Journal of Business and Technical Communication

DOI: 10.1177/10506519241280647

Authors: Christine Masters-Wheeler, Jennifer Bay

Institutions: Francis Marion University, Purdue University West Lafayette

Language: English

Topic: Cybernetics and Technology in Society

Subfield: History and Philosophy of Science

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: bronze

Funder: Gulf Research Program

Award: G3282136684