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Motion capture-based animated characters for the study of speech-gesture integration

Nirme, Jens LU ; Haake, Magnus LU ; Gulz, Agneta LU and Gullberg, Marianne LU orcid (2020) In Behavior Research Methods 52(3). p.1339-1354
Abstract
Digitally animated characters are promising tools in research studying how we integrate information from speech and visual sources such as gestures because they allow specific gesture features to be manipulated in isolation. We present an approach combining motion capture and 3D-animated characters that allows us to manipulate natural individual gesture strokes for experimental purposes, for example to temporally shift and present gestures in ecologically valid sequences. We exemplify how such stimuli can be used in an experiment investigating implicit detection of speech–gesture (a) synchrony, and discuss the general applicability of the workflow for research in this domain.
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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Crossmodal information processing, Gesture, Speech-gesture integration, Motion Capture, gesture, multimodal information processing, Method development, Motion Capture, Crossmodal information processing, Speech-gesture integration
in
Behavior Research Methods
volume
52
issue
3
pages
16 pages
publisher
Springer
external identifiers
  • scopus:85076623353
  • pmid:31823225
ISSN
1554-3528
DOI
10.3758/s13428-019-01319-w
language
English
LU publication?
yes
id
f83b1030-ee90-46be-b81e-383767779fa0
date added to LUP
2019-10-21 10:35:47
date last changed
2023-11-19 17:00:52
@article{f83b1030-ee90-46be-b81e-383767779fa0,
  abstract     = {{Digitally animated characters are promising tools in research studying how we integrate information from speech and visual sources such as gestures because they allow specific gesture features to be manipulated in isolation. We present an approach combining motion capture and 3D-animated characters that allows us to manipulate natural individual gesture strokes for experimental purposes, for example to temporally shift and present gestures in ecologically valid sequences. We exemplify how such stimuli can be used in an experiment investigating implicit detection of speech–gesture (a) synchrony, and discuss the general applicability of the workflow for research in this domain.}},
  author       = {{Nirme, Jens and Haake, Magnus and Gulz, Agneta and Gullberg, Marianne}},
  issn         = {{1554-3528}},
  keywords     = {{Crossmodal information processing; Gesture; Speech-gesture integration; Motion Capture; gesture; multimodal information processing; Method development; Motion Capture; Crossmodal information processing; Speech-gesture integration}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{1339--1354}},
  publisher    = {{Springer}},
  series       = {{Behavior Research Methods}},
  title        = {{Motion capture-based animated characters for the study of speech-gesture integration}},
  url          = {{http://dx.doi.org/10.3758/s13428-019-01319-w}},
  doi          = {{10.3758/s13428-019-01319-w}},
  volume       = {{52}},
  year         = {{2020}},
}