Are you on my wavelength? Interpersonal coordination in dyadic conversations
- Submitting institution
-
Goldsmiths' College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3118
- Type
- D - Journal article
- DOI
-
10.1007/s10919-019-00320-3
- Title of journal
- Journal of Nonverbal Behaviour
- Article number
- -
- First page
- 63
- Volume
- 44
- Issue
- 1
- ISSN
- 0191-5886
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
http://research.gold.ac.uk/id/eprint/26349/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work combines high-resolution motion capture with wavelet coherence analysis to study head movement during conversation. One major finding is that people coordinate in unexpected ways at high movement frequencies - this shifts our understanding of nonverbal communication because it overturns established research suggesting uniform synchrony across frequencies. The work is the first to identify a common, often imperceptible, social signal, which impacts future directions in socially-aware human-computer interfaces. These findings, and the novel methodology used, led to the €150,000 ERC proof-of-concept grant, SocSensors (2020-2022), to develop a new system for detecting social signals in autistic children.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -