Studying the detailed work of play using conversation analysis

Abstract This paper seeks to explore what happens when research methods predominantly reserved for the human animal are applied to study behavior of other animals. Specifically, we apply conversation analysis to investigate play fighting behavior of piglets in industrial-rearing conditions through three case studies. The analysis shows how play fighting is a mutually and continually (re-)established activity that relies on monitoring the other party’s continued willingness to engage. We show this orientation to continued willingness distinguishes the activity from more serious fighting. Maintaining mutual willingness is sequentially achieved through mutually constructed opening and closing sequences, floor yielding, and locally negotiating the rules for play. The head toss, a known play marker for pigs, was used flexibly by these piglets. These findings add to or reframe findings from behavioral studies of pig play. In conclusion, applying conversation analysis to pig interaction proves not only possible but fruitful as an additional approach to methods in the field of animal communication.

Authors

Institutions

Publication Details

Journal
Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems
Published
2024-12-31
DOI
https://doi.org/10.1075/is.22059.der
Citations
1
Primary Topic
Language, Discourse, Communication Strategies
Type
article
Field-Weighted Citation Impact
2.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Studying the detailed work of play using conversation analysis

Lynn E. M. de Rijk, Leonie Cornips
1 citations
Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems
Language, Discourse, Communication Strategies
2.78
article

Studying the detailed work of play using conversation analysis

Lynn E. M. de Rijk, Leonie Cornips
article en
1 citations

Abstract

Abstract This paper seeks to explore what happens when research methods predominantly reserved for the human animal are applied to study behavior of other animals. Specifically, we apply conversation analysis to investigate play fighting behavior of piglets in industrial-rearing conditions through three case studies. The analysis shows how play fighting is a mutually and continually (re-)established activity that relies on monitoring the other party’s continued willingness to engage. We show this orientation to continued willingness distinguishes the activity from more serious fighting. Maintaining mutual willingness is sequentially achieved through mutually constructed opening and closing sequences, floor yielding, and locally negotiating the rules for play. The head toss, a known play marker for pigs, was used flexibly by these piglets. These findings add to or reframe findings from behavioral studies of pig play. In conclusion, applying conversation analysis to pig interaction proves not only possible but fruitful as an additional approach to methods in the field of animal communication.

Interaction Studies Social Behaviour and Communication in Biological and Artificial SystemsVol. 25(2)
Royal Netherlands Academy of Arts and Sciences (NL), Radboud University Nijmegen (NL), Maastricht University (NL), Royal Holland Society of Sciences and Humanities (NL)
Openalex Percentile: Top 7%
Language, Discourse, Communication Strategies
2.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Studying the detailed work of play using conversation analysis — Lynn E. M. de Rijk, Leonie Cornips · Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems (2024) | TGRS Research Map | TGRS