Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Automatic imitation of human and computer-generated vocal stimuli

Bibliographic Data

ID21640911
AuthorsHannah Wilt (0000-0002-0556-1160, University College London), Yuchunzi Wu (0000-0002-3584-9392, New York University Shanghai), Antony Trotter (King's College London), Patti Adank (0000-0002-9525-8551, The London College, corresponding author)
Year2023
Volume30
Issue3
Pages1093-1102
Publication date2023-06-01
Open AccessYes
TypeARTICLE
VenuePsychonomic Bulletin & Review (JOURNAL)
Journal identifiersISSN: 1069-9384 • E-ISSN: 1531-5320
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.3758/s13423-022-02218-6
PMID36443535
OpenAlexW4310118233
LanguageEN
Citations received4
References cited42

Observing someone perform an action automatically activates neural substrates associated with executing that action. This covert response, or automatic imitation , is measured behaviourally using the stimulus–response compatibility (SRC) task. In an SRC task, participants are presented with compatible and incompatible response–distractor pairings (e.g., an instruction to say “ba” paired with an audio recording of “da” as an example of an incompatible trial). Automatic imitation is measured as the difference in response times (RT) or accuracy between incompatible and compatible trials. Larger automatic imitation effects have been interpreted as a larger covert imitation response. Past results suggest that an action’s biological status affects automatic imitation: Human-produced manual actions show enhanced automatic imitation effects compared with computer-generated actions. Per the integrated theory for language comprehension and production, action observation triggers a simulation process to recognize and interpret observed speech actions involving covert imitation. Human-generated actions are predicted to result in increased automatic imitation because the simulation process is predicted to engage more for actions produced by a speaker who is more similar to the listener. We conducted an online SRC task that presented participants with human and computer-generated speech stimuli to test this prediction. Participants responded faster to compatible than incompatible trials, showing an overall automatic imitation effect. Yet the human-generated and computer-generated vocal stimuli evoked similar automatic imitation effects. These results suggest that computer-generated speech stimuli evoke the same covert imitative response as human stimuli, thus rejecting predictions from the integrated theory of language comprehension and production

Cognitive psychology · Cognitive science · Human voice · Imitation · Speech recognition · Action Observation and Synchronization · Communication · Multisensory perception and integration · Neuroscience · Neuroscience and Music Perception · Psychology

  • Perceiving speech during orthographic syllable recognition

    Open Access•Daniel Williams, Adamantios Gafos et al.•Journal of Memory and Language•2023

  • Implementation of Interactive Artificial Intelligence Voice in Speech Shadowing Method to Improve English Speaking Ability in High School Students

    Open Access•Purwo Haryono, Purwo Haryono Purwo Haryono•IDEAS Journal on English Language…•2025

  • Automatic imitation of speech is enhanced for non-native sounds

    Open Access•Hannah Wilt, Yuchunzi Wu et al.•Psychonomic Bulletin & Review•2024

  • Automatic imitation of vocal actions is unaffected by group membership

    Open Access•Antony S Trotter, Antony Trotter et al.•Psychological Research•2025

  • Statistical Power Analysis for the Behavioral Sciences

    Jacob Cohen•Statistical Power Analysis for…•2013

  • An integrated theory of language production and comprehension

    Open Access•Martin J Pickering, Simon Garrod•Behavioral and Brain Sciences•2013

  • The timing mega-study

    Open Access•David Bridges, Alain Pitiot et al.•PeerJ•2020

  • To transform or not to transform

    Open Access•Steson Lo, Sally Andrews•Frontiers in Psychology•2015

  • Compatibility between Observed and Executed Finger Movements

    Open Access•Marcel Bra, Marcel Brass et al.•Brain and Cognition•2000

  • What Are the Odds? A Practical Guide to Computing and Reporting Bayes Factors

    Open Access•Andrew F Jarosz, Jennifer Wiley•The Journal of Problem Solving•2014

  • Headphone screening to facilitate web-based auditory experiments

    Open Access•Kevin J P Woods, Max H Siegel et al.•Attention, Perception, &…•2017

  • Perception of the speech code.

    Alvin M Liberman, F S Cooper et al.•Psychological Review•1967

  • Software for a cascade/parallel formant synthesizer

    Dennis H Klatt•The Journal of the Acoustical…•1980

  • Fitting Linear Mixed-Effects Models Using lme4

    Open Access•David M Bates, Douglas Bates et al.•Journal of Statistical Software•2015

  • Bayesian Model Selection in Social Research

    Adrian E Raftery•Sociological Methodology•1995

  • Stereotypic vision

    Open Access•Joshua Correll, Bernd Wittenbrink et al.•Journal of Personality and Social…•2015

  • Inferring speakers’ physical attributes from their voices

    Open Access•Robert M Krauss, Robin Freyberg et al.•Journal of Experimental Social…•2002

  • Automatic imitation

    Emiel Cracco, Luciano Bardi et al.•Psychological Bulletin•2018

  • Automatic imitation

    Cecilia Heyes•Psychological Bulletin•2011

Citations per year1.33
Citation span2023 - 2025 (3)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae