Metadata record for Syncing up for a good conversation: Objective acoustic-prosodic measures and expert clinical assessment of conversational entrainment
102720
Inter-university Consortium for Political and Social Research
ICPSR metadata records are licensed under a Creative Commons Attribution-Noncommercial 3.0 United States License.
V1
Syncing up for a good conversation: Objective acoustic-prosodic measures and expert clinical assessment of conversational entrainment
102720
http://doi.org/10.3886/E102720V1
Stephanie A. Borrie
Tyson S. Barrett
Megan Willi
Visar Berisha
Please see full citation.
This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
United States Department of Health and Human Services. National Institutes of Health. National Institute on Deafness and Other Communication Disorders
R21DC016084
Ann Arbor, MI: Inter-university Consortium for Political and Social Research
Borrie, Stephanie A., Barrett, Tyson S., Willi, Megan, and Berisha, Visar. Syncing up for a good conversation: Objective acoustic-prosodic measures and expert clinical assessment of conversational entrainment. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2018-05-18. https://doi.org/10.3886/E102720V1
Purpose: Conversational entrainment, the
phenomenon whereby communication partners align their behavior with one another,
is considered essential for productive and fulfilling conversation. Lack
of entrainment could, therefore, impact conversational success. While studied
in many disciplines, entrainment has received limited attention in the field of
speech-language pathology, where its implications may have direct clinical
relevance. Here, we couple objective measures of speech signal entrainment and
expert clinical assessment to characterize conversational entrainment within a
multidimensional, clinically-meaningful framework.
Method:
Using a
novel computational approach to quantify acoustic-prosodic entrainment, and real-world evidence
of conversational success, as judged by five speech-language pathologists, we investigated conversational
entrainment across multiple speech dimensions in a corpus of 57 experimentally-elicited conversations involving
healthy subjects.
Results: Expert clinical assessment of conversation is supported
by objective measures of entrainment in rhythmic, articulatory and phonatory dimensions
of speech. Approach validation is achieved by comparing output
measures from real versus sham conversations; and prediction accuracy of entrained
versus non-entrained measure models.
Conclusio A methodology for
capturing conversational entrainment, validated in healthy populations, has important
translational application for disciplines such as
speech-language pathology where conversational entrainment represents a
critical knowledge gap in the field, as well as a potential target for remediation.