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Michał Kuniecki

Biographic Data

ID6545905
NAMEMichał Kuniecki
GIVEN NAMESMichał
FAMILY NAMEKuniecki
SIGNATUREKUNIECKI M
AFFILIATIONSJagiellonian University
ORCID0000-0001-6910-8667
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX0
  • You can’t judge me! Virtual observers do not influence moral judgments in virtual environments

    Open Access•Radosław Sterna, Joanna Pilarczyk et al.•ARTICLE•Cyberpsychology Journal of…•2024

    Prior research has shown that individuals tend to make norm-based (deontological) moral choices more frequently when observed by real humans. Our aim in this study was to explore whether this phenomenon extends to virtual observers. Sixty-two participants (39 women, 22 men and 1 non-binary) with mean age of 24.95 (SD = 5.70, age range 19–44) were presented with textual moral dilemmas, both in the presence of a virtual observer and alone. Prior to…

  • Facing emotional vocalizations and instrumental sounds

    Kinga Wołoszyn, Mateusz Hohol et al.•ARTICLE•Emotion•2024

    Facial mimicry of visually observed emotional facial actions is a robust phenomenon. Here, we examined whether such facial mimicry extends to auditory emotional stimuli. We also examined if participants' facial responses differ to sounds that are more strongly associated with congruent facial movements, such as vocal emotional expressions (e.g., laughter, screams), or less associated with movements, such as nonvocal emotional sounds (e.g., happy,…

  • Enough is enough

    Open Access•Anna Jankowska, Joanna Pilarczyk et al.•ARTICLE•Perspectives•2022•References: 3

    In this article we report on an experiment examining audience experience when two different audio description (AD) intonation types are used. Following the classification put forward by Cabeza-Cáceres (2013), we tested twenty participants with vision loss who were asked to listen to twenty film clips with AD voiced following the adapted and emphatic intonation. All clips were rated as evoking emotions, either positive or negative. Participants’ e…

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  • Enough is enough

    Open Access•Anna Jankowska, Joanna Pilarczyk et al.•ARTICLE•Perspectives•2022•References: 3

    In this article we report on an experiment examining audience experience when two different audio description (AD) intonation types are used. Following the classification put forward by Cabeza-Cáceres (2013), we tested twenty participants with vision loss who were asked to listen to twenty film clips with AD voiced following the adapted and emphatic intonation. All clips were rated as evoking emotions, either positive or negative. Participants’ e…

  • You can’t judge me! Virtual observers do not influence moral judgments in virtual environments

    Open Access•Radosław Sterna, Joanna Pilarczyk et al.•ARTICLE•Cyberpsychology Journal of…•2024

    Prior research has shown that individuals tend to make norm-based (deontological) moral choices more frequently when observed by real humans. Our aim in this study was to explore whether this phenomenon extends to virtual observers. Sixty-two participants (39 women, 22 men and 1 non-binary) with mean age of 24.95 (SD = 5.70, age range 19–44) were presented with textual moral dilemmas, both in the presence of a virtual observer and alone. Prior to…

  • Facing emotional vocalizations and instrumental sounds

    Kinga Wołoszyn, Mateusz Hohol et al.•ARTICLE•Emotion•2024

    Facial mimicry of visually observed emotional facial actions is a robust phenomenon. Here, we examined whether such facial mimicry extends to auditory emotional stimuli. We also examined if participants' facial responses differ to sounds that are more strongly associated with congruent facial movements, such as vocal emotional expressions (e.g., laughter, screams), or less associated with movements, such as nonvocal emotional sounds (e.g., happy,…

Psychology (3 works) · Audiology (2 works) · Cognitive psychology (2 works) · Communication (2 works) · Communication (2 works) · Computer Science (2 works) · Medicine (2 works) · Multisensory perception and integration (2 works) · Artificial Intelligence (1 work) · Audio visual (1 work)

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