ORCID Identifier(s)

0000-0001-5425-1284

Graduation Semester and Year

Spring 2024

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Linguistics

Department

Linguistics

First Advisor

Laurel Stvan

Second Advisor

Cynthia Kilpatrick

Third Advisor

Ivy Hauser

Abstract

Human social behavior relies on communication, and much of that communication occurs in conversation. A crucial feature of conversation is turn-taking, the (usually) orderly pattern of listening and speaking that humans employ in conversation. In analyzing details of actual conversations, Sacks, Schegloff & Jefferson (1974) launched the field of Conversation Analysis by outlining a set of observations of turn-taking behavior and by proposing a list of rules to explain that behavior. They noted that the vast majority of transitions from one speaker to another happen with very little gap or overlap (Sacks, Schegloff & Jefferson 1974: 700–701). More recently, researchers have begun to quantify gaps and overlaps. For example, Stivers et al. (2009) found that the most frequent transitions in ten different languages occurred between 0 and 200 ms.

Within this context of rapid turn-taking, what are some of the factors that affect gaps and overlaps in conversation? Although not employing Conversation Analysis, this dissertation complements that methodological approach by examining some of the possible factors, including the participants’ metadiscursive use of discourse markers, what language the conversation occurs in, the time course of the conversation, and the amount of telecommunications latency of the conversation. Among its many contributions, this dissertation proposes a set of metrics for analyzing turn-taking practices in audio corpora and introduces computer code for analyzing turn-taking behavior based on acoustic data alone. In addition, it finds that participants in conversations increase their gap lengths when latency is introduced and maintain those longer gap lengths once latency is removed. This finding illustrates the remarkable adaptability and responsiveness of the human turn-taking system.

Keywords

turn-taking, corpus linguistics, discourse analysis, discourse markers (DMs), openings, closings, cross-linguistic study, speech sounds analysis, telecommunications latency

Disciplines

Discourse and Text Linguistics | Phonetics and Phonology

License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.