Logo repozytorium
  • English
  • Polski
  • Zaloguj
    Nie pamiętasz hasła?
Logo repozytorium
  • Zbiory i kolekcje
  • Wszystko na UAFM
O projekcieRegulaminPolityka bezpieczeństwa
Aspekty prawneSprawdź politykę wydawcy
FAQSłownik pojęć
Kontakt
  • English
  • Polski
  • Zaloguj
    Nie pamiętasz hasła?
  1. Strona główna
  2. Przeglądaj wg słów kluczowych

Przeglądaj wg Słowo kluczowe "FaceReader"

Teraz wyświetlane 1 - 4 z 4
Wyników na stronę
Opcje sortowania
  • Ładowanie...
    Miniatura
    Pozycja
    Attempt at Detection of Deception Based on Records of Physiological Reactions Remotely Captured with FaceReader Software. Part 1
    (Oficyna Wydawnicza AFM, 2022) Widacki, Jan; Wójcik, Bartosz; Szuba-Boroń, Anna
    Strong emotions are among others manifested in the expressive movements (facial expression). Facial expressions are natural and universal by nature. They do not depend on ethnicity, culture, social status, age, etc. Nonetheless, humans are sometimes capable of controlling their facial expressions and hiding their emotions. Simulating emotions is a fundamental acting skill. However, controlling facial impressions takes time. The onset of such a control is delayed by anything from 0.25 to even 0.1 second – the period when the authentic facial expression, adequate to the emotion is demonstrated – and therefore remains imperceptible to an external observer. This short-lived facial expression observed in that short meantime is known as microexpression. FaceReader, designed by Dutch company Noldus (established and directed by Professor Lucas Noldus), is a software package for automatic recognition and analysis of facial expression. As its diagnostic value for validity as well as reliability, that is the level of correct indications, remains unknown, we decided to determine it experimentally and have chosen to run an experiment comparing its diagnostic value with that of a traditional polygraph examination.
  • Ładowanie...
    Miniatura
    Pozycja
    European Polygraph 2022, Volume 16, Number 2 (56)
    (Oficyna Wydawnicza AFM, 2022) Ginton, Avital; Dzida, Jagoda; Widacki, Jan; Wójcik, Bartosz; Szuba-Boroń, Anna; Horvath, Frank; Shapovalov, Vitaliy
  • Ładowanie...
    Miniatura
    Pozycja
    European Polygraph 2025, Volume 19, Number 1 (61)
    (Oficyna Wydawnicza AFM Uniwersytetu Andrzeja Frycza Modrzewskiego w Krakowie, 2025) Shapovalov, Vitalii; Widacki, Jan; Widacki, Michał; Wójcik, Bartosz; Szuba-Boroń, Anna; Celniak, Weronika; Słapczyńska, Dominika; Krishnan, Gowthami; Augustyniak; Piotr; Amsel; Tuvya T.; Floren, Thorsten
  • Ładowanie...
    Miniatura
    Pozycja
    Recognition of emotions by analysing facial expressions with FaceReader (Noldus) vs detection of deception by polygraph examination. A pilot study
    (Oficyna Wydawnicza AFM Uniwersytetu Andrzeja Frycza Modrzewskiego w Krakowie, 2025) Widacki, Jan; Widacki, Michał; Wójcik, Bartosz; Szuba-Boroń, Anna
    FaceReader is a software package designed by the Dutch company Noldus (established and managed by Professor Lucas Noldus) for the automatic recognition and analysis of facial expression. The package was described in European Polygraph in 2022 with respect to its potential applicability for the detection of deception (see Widacki et al. 2022: 37–51). This article discusses the results of a pilot study aimed at testing whether the analysis of facial expression can be successfully used for the detection of deception, discovering what emotions are triggered by critical questions in tests during polygraph examinations, and what physiological reactions to these emotions can be observed and recorded in such an examination. The latter question is of particular importance for a better understanding of the psychophysiological essence of detection of deception and necessary for refining its methodology, especially with respect to improving the detection of attempts to manipulate or distort the recordings and counteracting them effectively. This pilot study allowed a number of cautious conclusions to be drawn that nonetheless require further investigation, primarily by testing with a larger sample. It has also allowed us to gain experience that will help improve the protocol for organising such experiments.

oprogramowanie DSpace copyright © 2002-2025 LYRASIS

  • Ustawienia plików cookies
  • Polityka prywatności
  • Regulamin