Blink as you Sync - Uncovering eye and nod synchrony in conversation using wearable sensing

Aman Gupta, Finn L. Strivens, Benjamin Tag, Kai Kunze, Jamie A. Ward

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We tend to synchronize our movements to the person we are talking to during face-to-face conversation. Higher interpersonal synchrony is linked to greater empathy and more effortless interactions. This paper presents a first method and a corresponding dataset to explore synchrony in natural conversation by capturing eye and head movement using commodity smart eyewear. We present a 17 hour dataset, using Electrooculography and inertial sensing, of 42 people in conversation (21 dyads: 10 in Japanese, 10 in English, 1 in Chinese). Initial results on 18 dyads show significant interpersonal synchrony of blink and head nod behaviour during conversation (at frequencies of 0.2 to 0.5 Hz). We also find that people are more likely to synchronise blinks at around 1 Hz when conversing back-to-back than when face-to-face.

Original languageEnglish
Title of host publicationISWC 2019 - Proceedings of the 2019 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery
Pages66-71
Number of pages6
ISBN (Electronic)9781450368704
DOIs
Publication statusPublished - 2019 Sep 9
Event23rd International Symposium on Wearable Computers, ISWC 2019 - London, United Kingdom
Duration: 2019 Sep 92019 Sep 13

Publication series

NameProceedings - International Symposium on Wearable Computers, ISWC
ISSN (Print)1550-4816

Conference

Conference23rd International Symposium on Wearable Computers, ISWC 2019
CountryUnited Kingdom
CityLondon
Period19/9/919/9/13

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Keywords

  • Eye tracking
  • Interpersonal synchrony
  • Wearable sensing

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Gupta, A., Strivens, F. L., Tag, B., Kunze, K., & Ward, J. A. (2019). Blink as you Sync - Uncovering eye and nod synchrony in conversation using wearable sensing. In ISWC 2019 - Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 66-71). (Proceedings - International Symposium on Wearable Computers, ISWC). Association for Computing Machinery. https://doi.org/10.1145/3341163.3347736