Cited by 64Language, Discourse, Communication StrategiesEmotional Labor in ProfessionsEmotion and Mood Recognition

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Emotion in Interaction

Perakyla, Anssi, Sorjonen, Marja-Leena·2012·Oxford University Press eBooks

Abstract

1. Introduction Marja-Leena Sorjonen and Anssi Perakyla 2. Emotion as stance Marjorie Harness Goodwin, Asta Cekaite, Charles Goodwin and Eve Tulbert 3. Distress in adult-child interaction Anthony J. Wootton 4. Facial expression and interactional regulation of Anssi Perakyla and Johanna Ruusuvuori 5. Good news, bad news, and affect: practical and temporal emotion work in everyday life Douglas W. Maynard and Jeremy Freese 6. Exploring affiliation in the reception of conversational complaint stories Elizabeth Couper-Kuhlen 7. Being equivocal: affective responses left unspecified Auli Hakulinen and Marja-Leena Sorjonen 8. Laughter in conversation: the case of fake laughter Markku Haakana 9. Crying and crying responses Alexa Hepburn and Jonathan Potter 10. Revealing surprise: the local ecology and the transposition of action Christian Heath, Dirk vom Lehn, Jason Cleverly and Paul Luff 11. Responding to in cognitive psychotherapy Liisa Voutilainen 12. Knowledge, empathy and in a medical encounter John Heritage and Anna Lindstrom 13. Epilogue Anssi Perakyla Appendix. Transcription and glossing conventions. References

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Crossref · 10.1093/acprof:oso/9780199730735.001.0001

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Metadata

Authors
Perakyla, A., & Sorjonen, M.-L.
Venue
Oxford University Press eBooks
Published
2012-09-11
OpenAlex
W1520896910
Cited by
64
References
0
Citations by year
2021: 2 · 2020: 8 · 2019: 5 · 2018: 6 · 2017: 3 · 2016: 7 · 2015: 14 · 2014: 12 · 2013: 3 · 2012: 3
FWCI
14.57
Type
book
Language
en
Open access
closed
Locations
Oxford University Press eBooks (publishedVersion)
Topics
  • Social Sciences › Arts and Humanities › Language and Linguistics › Language, Discourse, Communication Strategies
  • Social Sciences › Sociology and Political Science › Emotional Labor in Professions
  • Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
Keywords
emotional labor, stance, distress, facial expressions, affect, affiliation, crying, surprise, empathy, healthcare encounters, knowledge, conversation analysis

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