Difference between revisions of "Waring2026a"
JakubMlynar (talk | contribs) (Created page with "{{BibEntry |BibType=ARTICLE |Author(s)=Hansun Zhang Waring; Yo-An Lee; |Title=Conversation analysis for artificial intelligence |Tag(s)=EMCA; Conversation analysis (CA); Artif...") |
JakubMlynar (talk | contribs) m |
||
| Line 3: | Line 3: | ||
|Author(s)=Hansun Zhang Waring; Yo-An Lee; | |Author(s)=Hansun Zhang Waring; Yo-An Lee; | ||
|Title=Conversation analysis for artificial intelligence | |Title=Conversation analysis for artificial intelligence | ||
| − | |Tag(s)=EMCA; Conversation analysis (CA); Artificial intelligence (AI); Wizard of oz (WoZ); Large language model (LLM); ChatGPT; Human-AI interaction (HAI) | + | |Tag(s)=EMCA; Conversation analysis (CA); Artificial intelligence (AI); Wizard of oz (WoZ); Large language model (LLM); ChatGPT; Human-AI interaction (HAI); Artificial Intelligence; AI Reference List |
|Key=Waring2026a | |Key=Waring2026a | ||
|Year=2026 | |Year=2026 | ||
Latest revision as of 01:46, 9 August 2026
| Waring2026a | |
|---|---|
| BibType | ARTICLE |
| Key | Waring2026a |
| Author(s) | Hansun Zhang Waring, Yo-An Lee |
| Title | Conversation analysis for artificial intelligence |
| Editor(s) | |
| Tag(s) | EMCA, Conversation analysis (CA), Artificial intelligence (AI), Wizard of oz (WoZ), Large language model (LLM), ChatGPT, Human-AI interaction (HAI), Artificial Intelligence, AI Reference List |
| Publisher | |
| Year | 2026 |
| Language | English |
| City | |
| Month | |
| Journal | Research Methods in Applied Linguistics |
| Volume | 5 |
| Number | 3 |
| Pages | 100324 |
| URL | Link |
| DOI | 10.1016/j.rmal.2026.100324 |
| ISBN | |
| Organization | |
| Institution | |
| School | |
| Type | |
| Edition | |
| Series | |
| Howpublished | |
| Book title | |
| Chapter | |
Abstract
Transforming the analytic and technological landscape, the recent rise of generative AI has sparked a surge of scholarly pursuits across a diversity of methodological terrains, and conversation analysis is no exception. With this exciting new direction also comes the need to examine the extent to which CA has advanced as a methodology for examining human-AI interaction (HAI). Based on a carefully curated corpus of “CA for AI” studies, this paper offers a brief summary of conversation analytic (CA) findings on HAI to date, examines the various methodological aspects of such studies, and provides a methodological illustration of what a CA analysis of human-AI interaction (HAI) looks like. These various attempts culminate in a reflection on a set of challenges that characterize the use of CA for investigating HAI as well as ways of navigating these challenges, thereby forming a benchmark for future research in CA-HAI in applied linguistics.
Notes
