Szczegóły publikacji

Opis bibliograficzny

Evaluating eye-tracking as a method for deception detection against the polygraph as deployed in practice / Weronika CELNIAK, Dominika Słapczyńska, Beata Jarszak, Piotr AUGUSTYNIAK // Scientific Reports [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN  2045-2322 . — 2026 — vol. 16 art. no. 25352, s. 1-16. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 14-15, Abstr. — Publikacja dostępna online od: 2026-06-03

Autorzy (4)

Słowa kluczowe

deception detectioncredibility assessmentpolygrapheye-tracking

Dane bibliometryczne

ID BaDAP170510
Data dodania do BaDAP2026-10-12
Tekst źródłowyURL
DOI10.1038/s41598-026-55344-9
Rok publikacji2026
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaScientific Reports

Abstract

Can credibility assessment be based on methods more reliable than those currently used? Traditional polygraph examinations, although widely employed, have well-documented limitations, motivating the search for alternative, noninvasive approaches. In this study, we developed an eye-tracking-based method to detect concealed memory traces by analyzing patterns of eye movements during a Concealed Information Test. Unlike previous research that examined eye movements in isolation, we directly compared the performance of the eye-tracking method with polygraph measurements within the same participants and under identical experimental conditions. Key features extracted from eye movements were used in a machine learning classifier to distinguish between deceptive and truthful responses. The results show that our eye-tracking-based test can effectively discriminate between deceptive and truthful individuals, achieving an accuracy of 94.9%. In comparison, polygraph examinations accurately classified 88.2% of participants under the same conditions, though five recordings had to be excluded because the polygraph expert could not reach a definitive conclusion. Finally, this study also considers the advantages and limitations of the two approaches, as well as ethical concerns related to measuring involuntary responses and using “black box” scoring algorithms.

Publikacje, które mogą Cię zainteresować

artykuł
#150162Data dodania: 4.1.2024
Intelligent eye-tracker-based methods for detection of deception: a survey / Weronika CELNIAK, Dominika Słapczyńska, Anna PAJĄK, Jaromir PRZYBYŁO, Piotr AUGUSTYNIAK // Electronics [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2079-9292. — 2023 — vol. 12 iss. 22 art. no. 4627, s. 1–15. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 14–15, Abstr. — Publikacja dostępna online od: 2023-11-12
artykuł
#125984Data dodania: 6.12.2019
Eye tracking as a research method : selected cases / Beata TARCZYDŁO // Journal of Emerging Trends in Marketing and Management [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2537-5865. — 2019 — vol. 1 no. 1, s. 269–279. — Wymagania systemowe: Adobe Redaer. — Bibliogr. s. 278–279, Abstr.