References
- Abdelrahman, Y., Velloso, E., Dingler, T., Schmidt, A., & Vetere, F. (2017). Cognitive heat. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3), 1–20. https://doi.org/10.1145/3130898
- Ammer, K., & Formenti, D. (2016). Does the type of skin temperature distribution matter? Thermology International, 26(2), 51–54.
- Cho, Y., Bianchi-Berthouze, N., Oliveira, M., Holloway, C., & Julier, S. (2019, September 3–6). Nose heat: Exploring stress-induced nasal thermal variability through mobile thermal imaging. 8th international conference on Affective Computing and Intelligent Interaction (ACII), Cambridge, UK (pp. 566–572). IEEE. https://doi.org/10.1109/ACII.2019.8925453
- Clay-Warner, J., & Robinson, D. T. (2015). Infrared thermography as a measure of emotion response. Emotion Review, 7(2), 157–162. https://doi.org/10.1177/1754073914554783
- Colwell, K., Hiscock-Anisman, C. K., Memon, A., Taylor, L., & Prewett, J. (2007). Assessment criteria indicative of deception (ACID): An integrated system of investigative interviewing and detecting deception. Journal of Investigative Psychology and Offender Profiling, 4(3), 167–180. https://doi.org/10.1002/jip.73
- DePaulo, B. M., Lindsay, J. J., Malone, B. E., Muhlenbruck, L., Charlton, K., & Cooper, H. (2003). Cues to deception. Psychological Bulletin, 129(1), 74–118. https://doi.org/10.1037/0033-2909.129.1.74
- Derakhshan, A., Mikaeili, M., Nasrabadi, A. M., & Gedeon, T. (2019). Network physiology of ‘fight or flight’response in facial superficial blood vessels. Physiological Measurement, 40(1), 014002. https://doi.org/10.1088/1361-6579/aaf089
- Ebisch, S. J., Aureli, T., Bafunno, D., Cardone, D., Romani, G. L., & Merla, A. (2012). Mother and child in synchrony: Thermal facial imprints of autonomic contagion. Biological Psychology, 89(1), 123–129. https://doi.org/10.1016/j.biopsycho.2011.09.018
- Engert, V., Merla, A., Grant, J. A., Cardone, D., Tusche, A., & Singer, T. (2014). Exploring the use of thermal infrared imaging in human stress research. PLoS ONE, 9(3), e90782. https://doi.org/10.1371/journal.pone.0090782
- Fernández-Cuevas, I., Bouzas Marins, J. C., Arnáiz Lastras, J., Gómez Carmona, P. M., Piñonosa Cano, S., García-Concepción, M. Á., & Sillero-Quintana, M. (2015). Classification of factors influencing the use of infrared thermography in humans: A review. Infrared Physics & Technology, 71, 28–55. https://doi.org/10.1016/j.infrared.2015.02.007
- Gołaszewski, M., Zajac, P., & Widacki, J. (2015). Thermal vision as a method of detection of deception: A review of experiences. European Polygraph, 9(1), 5–24. https://doi.org/10.1515/ep-2015-0001
- Harrell Jr, F. E., & Harrell Jr, M. F. E. (2015). Package ‘Hmisc’. CRAN2018, 235–236. https://doi.org/10.1093/bioinformatics/btv42
- Ioannou, S., Ebisch, S., Aureli, T., Bafunno, D., Ioannides, H. A., Cardone, D., Manini, B., Romani, G. L., Gallese, V., Merla, A., & Romanovsky, A. A. (2013). The autonomic signature of guilt in children: A thermal infrared imaging study. PLoS ONE, 8(11), e79440. https://doi.org/10.1371/journal.pone.0079440
- Ioannou, S., Gallese, V., & Merla, A. (2014a). Thermal infrared imaging in psychophysiology: Potentialities and limits. Psychophysiology, 51(10), 951–963. https://doi.org/10.1111/psyp.12243
- Ioannou, S., Morris, P., Mercer, H., Baker, M., Gallese, V., & Reddy, V. (2014b). Proximity and gaze influences facial temperature: A thermal infrared imaging study. Frontiers in Psychology, 5, 845. https://doi.org/10.3389/fpsyg.2014.00845
- Ioannou, S., Morris, P., Terry, S., Baker, M., Gallese, V., & Reddy, V. (2016). Sympathy crying: Insights from infrared thermal imaging on a female sample. PLoS ONE, 11(10), e0162749. https://doi.org/10.1371/journal.pone.0162749
- Ito, H., Oiwa, K., & Nozawa, A. (2018, October 21–24). Face tracking based on temperature distribution of thermal images for real-time psychophysiological states evaluation using facial skin temperature. International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), Bangkok, Thailand (Vol. 3, pp. 6–7). IEEE. https://doi.org/10.1109/ICIIBMS.2018.8549966
- Jarlier, S., Grandjean, D., Delplanque, S., N'Diaye, K., Cayeux, I., Velazco, M. I., Sander, D., Vuilleumier, P., & Scherer, K. R. (2011). Thermal analysis of facial muscles contractions. IEEE Transactions on Affective Computing, 2(1), 2–9. https://doi.org/10.1109/T-AFFC.2011.3
- Jeffreys, H. (1961). Theory of probability. Clarendon Press.
- Johnson, J. M., Minson, C. T., & Kellogg Jr, D. L. (2011). Cutaneous vasodilator and vasoconstrictor mechanisms in temperature regulation. Comprehensive Physiology, 4(1), 33–89. https://doi.org/10.1002/cphy.c130015
- Kleinberg, B., Arntz, A., & Verschuere, B. (2019). Being accurate about accuracy in verbal deception detection. PLoS ONE, 14(8), e0220228. https://doi.org/10.1371/journal.pone.0220228
- Kosonogov, V., De Zorzi, L., Honoré, J., Martínez-Velázquez, E. S., Nandrino, J.-L., Martinez-Selva, J. M., & Sequeira, H. (2017). Facial thermal variations: A new marker of emotional arousal. PLoS ONE, 12(9), e0183592. https://doi.org/10.1371/journal.pone.0183592
- Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (2008). International affective picture system (IAPS): Affective ratings of pictures and instruction manual. Technical report A-8. Gainesville.
- Levine, T. R. (2018). Ecological validity and deception detection research design. Communication Methods and Measures, 12(1), 45–54. https://doi.org/10.1080/19312458.2017.1411471
- Limonero, J. T., Fernández-Castro, J., Soler-Oritja, J., & Álvarez-Moleiro, M. (2015). Emotional intelligence and recovering from induced negative emotional state. Frontiers in Psychology, 6, 816. https://doi.org/10.3389/fpsyg.2015.00816
- Marins, J. C. B., Formenti, D., Costa, C. M. A., de Andrade Fernandes, A., & Sillero-Quintana, M. (2015). Circadian and gender differences in skin temperature in militaries by thermography. Infrared Physics & Technology, 71, 322–328. https://doi.org/10.1016/j.infrared.2015.05.008
- Meibauer, J. (2018). The linguistics of lying. Annual Review of Linguistics, 4(1), 357–375. https://doi.org/10.1146/annurev-linguistics-011817-045634
- Moliné, A., Fernández-Gómez, J., Moya-Pérez, E., Puertollano, M., Gálvez-García, G., Iborra, O., & Gómez-Milán, E. (2018). Skin temperature reveals empathy in moral dilemmas: An experimental thermal infrared imaging study. Thermology International, 28(4), 197–206.
- Moliné, A., Gálvez-García, G., Fernández-Gómez, J., De la Fuente, J., Iborra, O., Tornay, F., Mata Martín, J. L., Puertollano, M., & Gómez Milán, E. (2017). The Pinocchio effect and the cold stress test: Lies and thermography. Psychophysiology, 54(11), 1621–1631. https://doi.org/10.1111/psyp.12956
- Moreira, D. G., Costello, J. T., Brito, C. J., Adamczyk, J. G., Ammer, K., Bach, A. J. E., Costa, C. M. A., Eglin, C., Fernandes, A. A., Fernández-Cuevas, I., Ferreira, J. J. A., Formenti, D., Fournet, D., Havenith, G., Howell, K., Jung, A., Kenny, G. P., Kolosovas-Machuca, E. S., Maley, M. J., … Sillero-Quintana, M. (2017). Thermographic imaging in sports and exercise medicine: A Delphi study and consensus statement on the measurement of human skin temperature. Journal of Thermal Biology, 69, 155–162. https://doi.org/10.1016/j.jtherbio.2017.07.006
- Morey, R. D., Rouder, J. N., & Jamil, T. (2018). BayesFactor: Computation of Bayes Factors for common designs. R package version 0.9. 12-4.2.
- Or, C. K., & Duffy, V. G. (2007). Development of a facial skin temperature-based methodology for non-invasive mental workload measurement. Occupational Ergonomics, 7, 83–94.
- Ormerod, T. C., & Dando, C. J. (2015). Finding a needle in a haystack: Toward a psychologically informed method for aviation security screening. Journal of Experimental Psychology: General, 144(1), 76–84. https://doi.org/10.1037/xge0000030
- Oxburgh, G. E., Myklebust, T., & Grant, T. (2010). The question of question types in police interviews: A review of the literature from a psychological and linguistic perspective. International Journal of Speech Language and the Law, 17(1), 45–66. https://doi.org/10.1558/ijsll.v17i1.45
- Pacheco-Unguetti, A. P., Acosta, A., Callejas, A., & Lupiáñez, J. (2010). Attention and anxiety. Psychological Science, 21(2), 298–304. https://doi.org/10.1177/0956797609359624
- Panasiti, M. S., Cardone, D., Pavone, E. F., Mancini, A., Merla, A., & Aglioti, S. M. (2016). Thermal signatures of voluntary deception in ecological conditions. Scientific Reports, 6(1), 35174. https://doi.org/10.1038/srep35174
- Paolini, D., Alparone, F. R., Cardone, D., van Beest, I., & Merla, A. (2016). “The face of ostracism”: The impact of the social categorization on the thermal facial responses of the target and the observer. Acta Psychologica, 163, 65–73. https://doi.org/10.1016/j.actpsy.2015.11.001
- Pavlidis, I., Eberhardt, N. L., & Levine, J. A. (2002). Seeing through the face of deception. Nature, 415(6867), 35–35. https://doi.org/10.1038/415035a
- Pavlidis, I., Levine, J., & Baukol, P. (2000, June 16). Thermal imaging for anxiety detection. Proceedings IEEE workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (Cat. No.PR00640), Hilton Head, SC (pp. 104–109). IEEE. https://doi.org/10.1109/CVBVS.2000.855255
- Pollina, D. A., Dollins, A. B., Senter, S. M., Brown, T. E., Pavlidis, I., Levine, J. A., & Ryan, A. H. (2006). Facial skin surface temperature changes during a “concealed information” test. Annals of Biomedical Engineering, 34(7), 1182–1189. https://doi.org/10.1007/s10439-006-9143-3
- Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–163. https://doi.org/10.2307/271063
- Ring, E. F. J. (2007). The historical development of temperature measurement in medicine. Infrared Physics & Technology, 49(3), 297–301. https://doi.org/10.1016/j.infrared.2006.06.029
- Ring, E. F. J., & Ammer, K. (2000). The technique of infrared imaging in medicine. Thermology International, 10(1), 7–14. https://doi.org/10.1088/978-0-7503-1143-4ch1
- RStudio Team. (2016). RStudio: Integrated development for R. RStudio, Inc. http://www.rstudio.com/
- Salazar-López, E., Domínguez, E., Juárez Ramos, V., de la Fuente, J., Meins, A., Iborra, O., Gálvez, G., Rodríguez-Artacho, M. A., & Gómez-Milán, E. (2015). The mental and subjective skin: Emotion, empathy, feelings and thermography. Consciousness and Cognition, 34, 149–162. https://doi.org/10.1016/j.concog.2015.04.003
- Shastri, D., Merla, A., Tsiamyrtzis, P., & Pavlidis, I. (2009). Imaging facial Signs of Neurophysiological Responses. IEEE Transactions on Biomedical Engineering, 56(2), 477–484. https://doi.org/10.1109/TBME.2008.2003265
- Spielberger, C. D., Gorsuch, R. L., Lushene, R. E., & Cubero, N. S. (1999). STAI: Cuestionario de ansiedad estado-rasgo. TEA ediciones.
- Verschuere, B., Köbis, N. C., Bereby-Meyer, Y., Rand, D., & Shalvi, S. (2018). Taxing the brain to uncover lying? Meta-analyzing the effect of imposing cognitive load on the reaction-time costs of lying. Journal of Applied Research in Memory and Cognition, 7(3), 462–469. https://doi.org/10.1016/j.jarmac.2018.04.005
- Vrij, A. (2015). Verbal lie detection tools: Statement validity analysis, reality monitoring and scientific content analysis. In P. A. Granhag, A. Vrij, & B. Verschuere (Eds.), Detecting deception: Current challenges and cognitive approaches (pp. 1–35). Wiley-Blackwell. https://doi.org/10.1002/9781118510001.ch1
- Vrij, A., Fisher, R., Mann, S., & Leal, S. (2008). A cognitive load approach to lie detection. Journal of Investigative Psychology and Offender Profiling, 5(1–2), 39–43. https://doi.org/10.1002/jip.82
- Vrij, A., Fisher, R. P., & Blank, H. (2017). A cognitive approach to lie detection: A meta-analysis. Legal and Criminological Psychology, 22(1), 1–21. https://doi.org/10.1111/lcrp.12088
- Vrij, A., & Verschuere, B. (2013). Lie detection in a forensic context. Oxford University Press.
- Walløe, L. (2016). Arterio-venous anastomoses in the human skin and their role in temperature control. Temperature, 3(1), 92–103. https://doi.org/10.1080/23328940.2015.1088502
- World Medical Association. (2013). WMA Declaration of Helsinki: Ethical principles for medical research involving human subjects. Journal of the American Medical Association, 310(20), 2191–2194. https://doi.org/10.1001/jama.2013.281053