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dc.contributor.author	Правицький, Станіслав Вячеславович
dc.contributor.author	Мерзликін, Павло Володимирович
dc.contributor.author	Степанюк, Олександр Миколайович
dc.date.accessioned	2025-06-24T11:02:33Z
dc.date.available	2025-06-24T11:02:33Z
dc.date.issued	2025
dc.identifier.citation	Pravytskyi S. V., Merzlykin P. V., Stepanyuk A. N. Designing and evaluating an affordable Arduino-based lie detector prototype. CEUR Workshop Proceedings. 2025. Vol. 3917. P. 80–88. URL: https://ceur-ws.org/Vol-3917/paper31.pdf	uk
dc.identifier.uri	http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/12022
dc.identifier.uri	https://ceur-ws.org/Vol-3917/paper31.pdf
dc.description	[1] G. C. Bunn, ‘Supposing that truth is a woman, what then?’: The lie detector, the love machine, and the logic of fantasy, History of the Human Sciences 32 (2019) 135–163. doi:10.1177/ 0952695119867022. [2] E. Rusconi, T. Mitchener-Nissen, Prospects of functional magnetic resonance imaging as lie detector, Frontiers in Human Neuroscience (2013). doi:10.3389/fnhum.2013.00594. [3] BuildItDR, Arduino Lie Detector — projecthub.arduino.cc, https://projecthub.arduino.cc/BuildItDR/ arduino-lie-detector-41f703, 2022. [4] S. Olfat, Arduino Polygraph Machine (Lie Detector) - ElectroPeak — electropeak.com, https: //electropeak.com/learn/arduino-lie-detector-polygraph-machine/, 2016. [5] C. A. Ruckmick, The truth about the lie detector, Journal of Applied Psychology 22 (1938) 50–58. doi:10.1037/h0059742. [6] W. G. Iacono, D. T. Lykken, The validity of the Lie detector: Two surveys of scientific opinion, Journal of Applied Psychology 82 (1997) 426–433. doi:10.1037/0021-9010.82.3.426. [7] D. T. Lykken, Psychology and the lie detector industry, The American psychologist 29 (1974) 725–739. doi:10.1037/h0037441. [8] W. G. Iacono, Psychology and the lie detector industry: A fifty-year perspective, Biological Psychology 190 (2024) 108808. doi:10.1016/j.biopsycho.2024.108808. [9] N. Rodriguez-Diaz, D. Aspandi, F. M. Sukno, X. Binefa, Machine learning-based lie detector applied to a novel annotated game dataset, Future Internet 14 (2022). doi:10.3390/fi14010002. [10] J. J. Furedy, R. J. Heslegrave, Validity of the Lie Detector: A Psychophysiological Perspective, Criminal Justice and Behavior 15 (1988) 219–246. doi:10.1177/0093854888015002008. [11] V. Mellema, Lie Detector Tests, in: The Encyclopedia of Civil Liberties in America: Volumes One-Three, volume 2, 2015, pp. 567–568. doi:10.4324/9781315699868-398. [12] T. H. Feeley, M. J. Young, Humans as lie detectors: Some more second thoughts, Communication Quarterly 46 (1998) 109–126. doi:10.1080/01463379809370090. [13] T. R. Levine, C. N. H. Street, Lie-truth judgments: Adaptive lie detector account and truth-default theory compared and contrasted, Communication Theory 34 (2024) 143–153. doi:10.1093/ct/qtae008.
dc.description.abstract	Lie detection is an important issue in various contexts ranging from criminal investigations to hiring processes. The paper covers the prototyping and evaluation of an affordable Arduino-based lie detector that integrates physiological sensors and machine learning to detect deception. Testing on 20 questions showed the detector achieved 55% accuracy in identifying truth and 45% accuracy in identifying lies, with an overall accuracy of 50%. While further refinements are needed, this prototype demonstrates the challenges of developing an accessible lie-detection system.	uk
dc.language.iso	en	uk
dc.subject	lie detection	uk
dc.subject	Arduino	uk
dc.subject	physiological sensors	uk
dc.subject	machine learning	uk
dc.subject	LSTM	uk
dc.subject	neural networks	uk
dc.subject	виявлення брехні
dc.subject	фізіологічні датчики
dc.subject	машинне навчання
dc.subject	нейронні мережі
dc.title	Designing and evaluating an affordable Arduino-based lie detector prototype	uk
dc.type	Article	uk