Efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
Titulo:

Efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
.

Sumario:

El cronotipo y la hora del día pueden modular varios aspectos del rendimiento cognitivo. Sin embargo, existen pocas pruebas sobre el efecto de estas variables en el rendimiento en el reconocimiento de caras, por loque el objetivo del presente estudio es investigar esta influencia. Para ello, se mostraron a 274 participantes (82.5% mujeres; edad 18-49 años, media= 27.2, DE = 1.82) 20 videoclips cortos, cada uno de los cuales pasaba gradualmente de una cara desconocida de identidad general a una cara famosa. Los participantes debían pulsar la barra espaciadora para detenercada vídeo en cuanto pudieran identificar la cara famosa y, a continuación, proporcionar el nombre o una descripción inequívoca de la persona. El análisis de los tiempos de... Ver más

Guardado en:

International Journal of Psychological Research

2011-2084

2011-7922

Santos, Isabel M.

Silva, Carlos F.

Alves, Miguel F.

Cerri, Luiza

Barroso, Talles

Queiroz, Diâner F.

Rosa, Catarina

Silva, André

Bem-Haja, Pedro

UNIVERSIDAD DE SAN BUENAVENTURA

10.21500/20112084.6583

16

2023-07-24

51

61

Colombia

memoria

reconocimiento de caras

familiaridad

hora del dia

cronotipo

sueño

http://purl.org/coar/access_right/c_abf2

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spelling Efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
El cronotipo y la hora del día pueden modular varios aspectos del rendimiento cognitivo. Sin embargo, existen pocas pruebas sobre el efecto de estas variables en el rendimiento en el reconocimiento de caras, por loque el objetivo del presente estudio es investigar esta influencia. Para ello, se mostraron a 274 participantes (82.5% mujeres; edad 18-49 años, media= 27.2, DE = 1.82) 20 videoclips cortos, cada uno de los cuales pasaba gradualmente de una cara desconocida de identidad general a una cara famosa. Los participantes debían pulsar la barra espaciadora para detenercada vídeo en cuanto pudieran identificar la cara famosa y, a continuación, proporcionar el nombre o una descripción inequívoca de la persona. El análisis de los tiempos de respuesta (TR) mostró que los participantesvespertinos reconocían las caras más rápidamente que los matutinos. Considerando diferentes ventanas de hora del día, el efecto del cronotipo solo fue significativo en las ventanas temporales de 13h-17h y de 21h-6h. Enconjunto, los resultados sugieren una ventaja de los tipos vespertinos en el reconocimiento de caras famosas al utilizar estímulos dinámicos, siendo los tipos matutinos particularmente más lentos durante su periodo no óptimo.
Efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
Artículo de revista
memoria
reconocimiento de caras
familiaridad
hora del dia
cronotipo
sueño
Matchock, R. L., & Toby Mordkoff, J. (2009). Chronotype and time-of-day influences on the alerting, orienting, and executive components of attention. Experimental Brain Research, 192(2), 189–198. https://doi.org/10.1007/s00221-008-1567-6
Monteiro, F., Rodrigues, P., Santos, I.M., Bem-Haja, P., & Rosa, P.J. (2023). FamFac - A database of famous faces for psychology experiments. International Journal of Psychological Research, 16(2).
Monteiro, F., Rodrigues, P., Nascimento, C. S., Simões, F., & Miguel, M. (2022). The daily rhythms of working memory and their methodological constraints: a critical overview. Biological Rhythm Research, 53(7), 1116–1143. https://doi.org/10.1080/09291016.2021.1907511
Mograss, M., Godbout, R., & Guillem, F. (2006). The ERP old-new effect: A useful indicator in studying the effects of sleep on memory retrieval processes. Sleep, 29(11), 1491–1500. https://doi.org/10.1093/sleep/29.11.1491
Mecacci, L., & Righi, S. (2006). Cognitive failures, metacognitive beliefs and aging. Personality and Individual Differences, 40(7), 1453–1459. https://doi.org/10.1016/j.paid.2005.11.022
May, C. P., Hasher, L., & Foong, N. (2005). Implicit memory, age, and time of day: paradoxical priming effects. Psychological Science, 16(2), 96–100. https://doi.org/10.1111/j.0956-7976.2005.00788.x
Madhav, K. C., Sherchand, S. P., & Sherchan, S. (2017). Association between screen time and depression among US adults. Preventive Medicine Reports, 8, 67–71. https://doi.org/10.1016/j.pmedr.2017.08.005
Maierova, L., Borisuit, A., Scartezzini, J.-L., Jaeggi, S. M., Schmidt, C., & Münch, M. (2016). Diurnal variations of hormonal secretion, alertness and cognition in extreme chronotypes under different lighting conditions. Scientific Reports, 6(1), 1–10. https://doi.org/10.1038/srep33591
Peirce, J., Gray, J. R., Simpson, S., MacAskill, M., Höchenberger, R., Sogo, H., Kastman, E., & Lindeløv, J. K. (2019). PsychoPy2: Experiments in behavior made easy. Behavior Research Methods, 51(1), 195–203. https://doi.org/10.3758/s13428-018-01193-y
Lunn, J., & Chen, J.-Y. (2022). Chronotype and time of day effects on verbal and facial emotional Stroop task performance in adolescents. Chronobiology International, 39(3), 323–332. https://doi.org/10.1080/07420528.2021.1998102
LimeSurvey Project Team. (2012). LimeSurvey: An Open Source survey tool. LimeSurvey Project. http://www.limesurvey.org Loureiro, F., & Garcia-Marques, T. (2015). Morning or Evening person? Which type are you? Self-assessment of chronotype. Personality and Individual Differences, 86, 168–171. https://doi.org/10.1016/j.paid.2015.06.022
Liao, D., Ishii, L. E., Chen, J., Chen, L. W., Kumar, A., Papel, I. D., Kontis, T. C., Byrne, P. J., Boahene, K. D. O., & Ishii, M. (2020). How Old Do I Look? Exploring the Facial Cues of Age in a Tasked Eye-Tracking Study. Facial Plastic Surgery & Aesthetic Medicine, 22(1), 36–41. https://doi.org/10.1089/fpsam.2019.29001.lia
Levandovski, R., Sasso, E., & Hidalgo, M. P. (2013). Chronotype: a review of the advances, limits and applicability of the main instruments used in the literature to assess human phenotype. Trends in Psychiatry and Psychotherapy, 35(1), 3–11. https://doi.org/10.1590/S2237-60892013000100002
Langner, R., Steinborn, M. B., Chatterjee, A., Sturm, W., & Willmes, K. (2010). Mental fatigue and temporal preparation in simple reaction-time performance. Acta Psychologica, 133(1), 64–72. https://doi.org/10.1016/j.actpsy.2009.10.001
Lack, L., Bailey, M., Lovato, N., & Wright, H. (2009). Chronotype differences in circadian rhythms of temperature, melatonin, and sleepiness as measured in a modified constant routine protocol. Nature and Science of Sleep, 1, 1-8. https://doi.org/10.2147/nss.s6234 Lack, L. C., & Bailey, M. (1994). Endogenous circadian rhythms of evening and morning types. Sleep Res, 23, 501.
Kerkhof, G. A., & Van Dongen, H. P. A. (1996). Morning-type and evening-type individuals differ in the phase position of their endogenous circadian oscillator. Neuroscience Letters, 218(3), 153–156. https://doi.org/10.1016/s0304-3940(96)13140-2
Kachur, A., Osin, E., Davydov, D., Shutilov, K., & Novokshonov, A. (2020). Assessing the Big Five personality traits using real-life static facial images. Scientific Reports, 10(1), Article 8487. https://doi.org/10.1038/s41598-020-65358-6
IBM Corp. (2021). Statistical package for the social sciences (Version 28) [Computer Software]. https://www.ibm.com/products/spss-statistics
Horne, J. A., & Ostberg, O. (1976). A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. International Journal of Chronobiology, 4(2), 97–110. http://www.ncbi.nlm.nih.gov/pubmed/1027738
Horne, J. A., brass, C. G., & Petitt, A. N. (1980). Circadian performance differences between morning and evening ‘types.’ Ergonomics, 23(1), 29–36. https://doi.org/10.1080/00140138008924715
FFmpeg Developers (2016). FFmpeg tool (Version 4.3.0) [Computer software]. https://ffmpeg.org/download.html Frings, D. (2015). The effects of low levels of fatigue on face recognition among individuals and team members. Journal of Applied Social Psychology, 45(8), 461–470. https://doi.org/10.1111/jasp.12312
Nowack, K., & Van Der Meer, E. (2014). Impact of chronotype and time perspective on the processing of scripts. International Journal of Psychophysiology, 92(2), 49–58. http://dx.doi.org/10.1016/j.ijpsycho.2014.02.004
Schmidt, C., Collette, F., Cajochen, C., & Peigneux, P. (2007). A time to think: Circadian rhythms in human cognition. Cognitive Neuropsychology, 24(7), 755–789. https://doi.org/10.1080/02643290701754158
Preckel, F., Lipnevich, A. A., Schneider, S., & Roberts, R. D. (2011). Chronotype, cognitive abilities, and academic achievement: A meta-analytic investigation. Learning and Individual Differences, 21(5), 483–492. https://doi.org/10.1016/j.lindif.2011.07.003
Vitale, J. A., Roveda, E., Montaruli, A., Galasso, L., Weydahl, A., Caumo, A., & Carandente, F. (2015). Chronotype influences activity circadian rhythm and sleep: Differences in sleep quality between weekdays and weekend. Chronobiology International, 32(3), 405–415. https://doi.org/10.3109/07420528.2014.986273
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Yaremenko, S., Sauerland, M., & Hope, L. (2021b). Eyewitness identification performance is not affected by time-of-day optimality. Scientific Reports, 11(1), Artticle 3462. https://doi.org/10.1038/s41598-021-82628-z
Yaremenko, S., Sauerland, M., & Hope, L. (2021a). Circadian Rhythm and Memory Performance: No Time-Of-Day Effect on Face Recognition. Collabra: Psychology, 7(1), Article 21939. https://doi.org/10.1525/collabra.21939
Yang, L., Hasher, L., & Wilson, D. E. (2007). Synchrony effects in automatic and controlled retrieval. Psychonomic Bulletin & Review, 14(1), 51–56.
Venkat, N., Sinha, M., Sinha, R., Ghate, J., & Pande, B. (2020). Neuro-Cognitive Profile of Morning and Evening Chronotypes at Different Times of Day. Annals of Neurosciences, 27(3–4), 257–265. https://doi.org/10.1177/0972753121990280
Puttaert, D., Adam, S., & Peigneux, P. (2019). Subjectively‐defined optimal/non‐optimal time of day modulates controlled but not automatic retrieval processes in verbal memory. Journal of Sleep Research, 28(4), Article e12798. https://doi.org/10.1111/jsr.12798
Van Tienoven, T. P., Minnen, J., Daniels, S., Weenas, D., Raaijmakers, A., & Glorieux, I. (2014). Calculating the social rhythm metric (SRM) and examining its use in interpersonal social rhythm therapy (IPSRT) in a healthy population study. Behavioral Sciences, 4(3), 265–277. https://doi.org/10.3390/bs4030265
Valdez, P. (2019). Circadian Rhythms in Attention. The Yale Journal of Biology and Medicine, 92(1), 81–92.
The jamovi project (2021). jamovi (Version 2.5.5.0) [Computer Software]. https://www.jamovi.org/download.html Tiddeman, B., & Perrett, D. (2002). Transformation of dynamic facial image sequences using static 2D prototypes. The Visual Computer, 18(4), 218–225. https://doi.org/10.1007/s003710100142
Taillard, J., Philip, P., Coste, O., Sagaspe, P., & Bioulac, B. (2003). The circadian and homeostatic modulation of sleep pressure during wakefulness differs between morning and evening chronotypes. Journal of Sleep Research, 12(4), 275–282.
Simor, P., & Polner, B. (2017). Differential influence of asynchrony in early and late chronotypes on convergent thinking. Chronobiology International, 34(1), 118–128. https://doi.org/10.1080/07420528.2016.1246454
Silva, C. F., Silvério, J. M. A., Rodrigues, P. J. F., Pandeirada, J., Fernandes, S. M., Macedo, F. B. D., & Razente, S. N. (2002). The Portuguese version of the Horne and Ostberg morningness-eveningness questionnaire: Its role in education and psychology. Revista Psicologia e Educação, 1(1-2), 39-50.
Schmidt, C., Collette, F., Leclercq, Y., Sterpenich, V., Vandewalle, G., Berthomier, P., Berthomier, C., Phillips, C., Tinguely, G., & Darsaud, A. (2009). Homeostatic sleep pressure and responses to sustained attention in the suprachiasmatic area. Science, 324(5926), 516–519. https://doi.org/10.1126/science.1167337
Facer-Childs, E. R., Boiling, S., & Balanos, G. M. (2018). The effects of time of day and chronotype on cognitive and physical performance in healthy volunteers. Sports Medicine - Open, 4(1), Article 47. https://doi.org/10.1186/s40798-018-0162-z
Santos, I. M., Silva, A., Bem-Haja, P., Rosa, C., Cerri, L., Queiroz, D. F., ... & Silva, C. F. (2022). The impact of sleep on face recognition memory: A scoping review. Brain Sciences, 12(10), Article 1385. https://doi.org/10.3390/brainsci12101385
Rothen, N., & Meier, B. (2016). Time of day affects implicit memory for unattended stimuli. Consciousness and Cognition, 46, 1–6. https://doi.org/10.1016/j.concog.2016.09.012
Fan, X., Zhou, Q., Liu, Z., & Xie, F. (2015). Electroencephalogram assessment of mental fatigue in visual search. Bio-Medical Materials and Engineering, 26 Suppl 1, S1455-1463. https://doi.org/10.3233/BME-151444
Bridges, D., Pitiot, A., MacAskill, M. R., & Peirce, J. W. (2020). The timing mega-study: comparing a range of experiment generators, both lab-based and online. PeerJ, 8, Article e9414. https://doi.org/10.7717/peerj.9414
Fabbri, M., Mencarelli, C., Adan, A., & Natale, V. (2013). Time-of-day and circadian typology on memory retrieval. Biological Rhythm Research, 44(1), 125–142. https://doi.org/10.1080/09291016.2012.656244
Sleep
Journal article
Núm. 2 , Año 2023 : Psychophysiology and Experimental Psychology
2
16
memory
face recognition
familiarity
Time of Day
chronotype
Santos, Isabel M.
application/pdf
Silva, Carlos F.
Alves, Miguel F.
Cerri, Luiza
Barroso, Talles
Queiroz, Diâner F.
Rosa, Catarina
Silva, André
Bem-Haja, Pedro
Chronotype and Time of Day (ToD) can modulate several aspects of cognitive performance. However, there is limited evidence about the effect of these variables on face recognition performance, so the aim of the present study is to investigate this influence. For this, 274 participants (82.5% females; age 18-49 years old, mean = 27.2, SD =1.82) were shown 20 short videoclips, each gradually morphing from a general identity unfamiliar face to a famous face. Participants should press the spacebar to stop each video as soon as they could identify the famous face, and then provide the name or an unequivocal description ofthe person. Analysis of response times (RT) showed that evening-types recognised the faces faster than morning-types. Considering different ToD windows, the effect of chronotype was only significant in the 13h-17h andin the 21h-6h time-windows. Altogether, results suggest an advantage of evening-types on famous face recognition using dynamic stimuli with morning-types, being particularly slower during their non-optimal period.
Evansová, K., Červená, K., Novák, O., Dudysová, D., Nekovářová, T., Fárková, E., & Fajnerová, I. (2022). The effect of chronotype and time of assessment on cognitive performance. Biological Rhythm Research, 53(4), 608–627. https://doi.org/10.1080/09291016.2020.1822053
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Universidad San Buenaventura - USB (Colombia)
Allen Gomes, A., Ruivo Marques, D., Meia-Via, A. M., Meia-Via, M., Tavares, J., Fernandes Da Silva, C., & Pinto De Azevedo, M. H. (2015). Basic Scale on Insomnia complaints and Quality of Sleep (BaSIQS): Reliability, initial validity and normative scores in higher education students. Chronobiology International, 32(3), 428–440. https://doi.org/10.3109/07420528.2014.986681
Correa, Á., Molina, E., & Sanabria, D. (2014). Effects of chronotype and time of day on the vigilance decrement during simulated driving. Accident Analysis & Prevention, 67, 113–118. https://doi.org/10.1016/j.aap.2014.02.020
Carciofo, R., Du, F., Song, N., & Zhang, K. (2014). Chronotype and time-of-day correlates of mind wandering and related phenomena. Biological Rhythm Research, 45(1), 37–49. https://doi.org/10.1080/09291016.2013.790651
Boutet, I., & Meinhardt-Injac, B. (2021). Measurement of individual differences in face-identity processing abilities in older adults. Cognitive Research: Principles and Implications, 6(1), Article 48. https://doi.org/10.1186/s41235-021-00310-4
Blatter, K., & Cajochen, C. (2007). Circadian rhythms in cognitive performance: methodological constraints, protocols, theoretical underpinnings. Physiology & Behavior, 90(2–3), 196–208. https://doi.org/10.1016/j.physbeh.2006.09.009
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Bernstein, J. P. K., DeVito, A., & Calamia, M. (2019). Subjectively and objectively measured sleep predict differing aspects of cognitive functioning in adults. Archives of Clinical Neuropsychology, 34(7), 1127–1137. https://doi.org/10.1093/arclin/acz017
Axelsson, J., Sundelin, T., Olsson, M. J., Sorjonen, K., Axelsson, C., Lasselin, J., & Lekander, M. (2018). Identification of acutely sick people and facial cues of sickness. Proceedings of the Royal Society B: Biological Sciences, 285(1870), Article 20172430. https://doi.org/10.1098/rspb.2017.2430
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Au, J., & Reece, J. (2017). The relationship between chronotype and depressive symptoms: A meta-analysis. Journal of Affective Disorders, 218, 93–104. https://doi.org/https://doi.org/10.1016/j.jad.2017.04.021
International Journal of Psychological Research
Adan, A., & Almirall, H. (1991). Horne & Östberg morningness-eveningness questionnaire: A reduced scale. Personality and Individual Differences, 12(3), 241–253. https://doi.org/10.1016/0191-8869(91)90110-W
Adan, A., Archer, S. N., Hidalgo, M. P., Di Milia, L., Natale, V., & Randler, C. (2012). Circadian Typology: A Comprehensive Review. Chronobiology International, 29(9), 1153–1175. https://doi.org/10.3109/07420528.2012.719971
61
https://revistas.usb.edu.co/index.php/IJPR/article/download/6583/5199
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https://doi.org/10.21500/20112084.6583
10.21500/20112084.6583
2011-7922
2011-2084
2023-07-24T00:00:00Z
2023-07-24T00:00:00Z
2023-07-24
institution UNIVERSIDAD DE SAN BUENAVENTURA
thumbnail https://nuevo.metarevistas.org/UNIVERSIDADDESANBUENAVENTURA_COLOMBIA/logo.png
country_str Colombia
collection International Journal of Psychological Research
title Efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
spellingShingle Efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
Santos, Isabel M.
Silva, Carlos F.
Alves, Miguel F.
Cerri, Luiza
Barroso, Talles
Queiroz, Diâner F.
Rosa, Catarina
Silva, André
Bem-Haja, Pedro
memoria
reconocimiento de caras
familiaridad
hora del dia
cronotipo
sueño
Sleep
memory
face recognition
familiarity
Time of Day
chronotype
title_short Efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
title_full Efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
title_fullStr Efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
title_full_unstemmed Efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
title_sort efectos del cronotipo y la hora del día en una tarea de reconocimiento de rostros famosos con estímulos dinámicos
description El cronotipo y la hora del día pueden modular varios aspectos del rendimiento cognitivo. Sin embargo, existen pocas pruebas sobre el efecto de estas variables en el rendimiento en el reconocimiento de caras, por loque el objetivo del presente estudio es investigar esta influencia. Para ello, se mostraron a 274 participantes (82.5% mujeres; edad 18-49 años, media= 27.2, DE = 1.82) 20 videoclips cortos, cada uno de los cuales pasaba gradualmente de una cara desconocida de identidad general a una cara famosa. Los participantes debían pulsar la barra espaciadora para detenercada vídeo en cuanto pudieran identificar la cara famosa y, a continuación, proporcionar el nombre o una descripción inequívoca de la persona. El análisis de los tiempos de respuesta (TR) mostró que los participantesvespertinos reconocían las caras más rápidamente que los matutinos. Considerando diferentes ventanas de hora del día, el efecto del cronotipo solo fue significativo en las ventanas temporales de 13h-17h y de 21h-6h. Enconjunto, los resultados sugieren una ventaja de los tipos vespertinos en el reconocimiento de caras famosas al utilizar estímulos dinámicos, siendo los tipos matutinos particularmente más lentos durante su periodo no óptimo.
description_eng Chronotype and Time of Day (ToD) can modulate several aspects of cognitive performance. However, there is limited evidence about the effect of these variables on face recognition performance, so the aim of the present study is to investigate this influence. For this, 274 participants (82.5% females; age 18-49 years old, mean = 27.2, SD =1.82) were shown 20 short videoclips, each gradually morphing from a general identity unfamiliar face to a famous face. Participants should press the spacebar to stop each video as soon as they could identify the famous face, and then provide the name or an unequivocal description ofthe person. Analysis of response times (RT) showed that evening-types recognised the faces faster than morning-types. Considering different ToD windows, the effect of chronotype was only significant in the 13h-17h andin the 21h-6h time-windows. Altogether, results suggest an advantage of evening-types on famous face recognition using dynamic stimuli with morning-types, being particularly slower during their non-optimal period.
author Santos, Isabel M.
Silva, Carlos F.
Alves, Miguel F.
Cerri, Luiza
Barroso, Talles
Queiroz, Diâner F.
Rosa, Catarina
Silva, André
Bem-Haja, Pedro
author_facet Santos, Isabel M.
Silva, Carlos F.
Alves, Miguel F.
Cerri, Luiza
Barroso, Talles
Queiroz, Diâner F.
Rosa, Catarina
Silva, André
Bem-Haja, Pedro
topicspa_str_mv memoria
reconocimiento de caras
familiaridad
hora del dia
cronotipo
sueño
topic memoria
reconocimiento de caras
familiaridad
hora del dia
cronotipo
sueño
Sleep
memory
face recognition
familiarity
Time of Day
chronotype
topic_facet memoria
reconocimiento de caras
familiaridad
hora del dia
cronotipo
sueño
Sleep
memory
face recognition
familiarity
Time of Day
chronotype
citationvolume 16
citationissue 2
citationedition Núm. 2 , Año 2023 : Psychophysiology and Experimental Psychology
publisher Universidad San Buenaventura - USB (Colombia)
ispartofjournal International Journal of Psychological Research
source https://revistas.usb.edu.co/index.php/IJPR/article/view/6583
language Inglés
format Article
rights http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
references_eng Matchock, R. L., & Toby Mordkoff, J. (2009). Chronotype and time-of-day influences on the alerting, orienting, and executive components of attention. Experimental Brain Research, 192(2), 189–198. https://doi.org/10.1007/s00221-008-1567-6
Monteiro, F., Rodrigues, P., Santos, I.M., Bem-Haja, P., & Rosa, P.J. (2023). FamFac - A database of famous faces for psychology experiments. International Journal of Psychological Research, 16(2).
Monteiro, F., Rodrigues, P., Nascimento, C. S., Simões, F., & Miguel, M. (2022). The daily rhythms of working memory and their methodological constraints: a critical overview. Biological Rhythm Research, 53(7), 1116–1143. https://doi.org/10.1080/09291016.2021.1907511
Mograss, M., Godbout, R., & Guillem, F. (2006). The ERP old-new effect: A useful indicator in studying the effects of sleep on memory retrieval processes. Sleep, 29(11), 1491–1500. https://doi.org/10.1093/sleep/29.11.1491
Mecacci, L., & Righi, S. (2006). Cognitive failures, metacognitive beliefs and aging. Personality and Individual Differences, 40(7), 1453–1459. https://doi.org/10.1016/j.paid.2005.11.022
May, C. P., Hasher, L., & Foong, N. (2005). Implicit memory, age, and time of day: paradoxical priming effects. Psychological Science, 16(2), 96–100. https://doi.org/10.1111/j.0956-7976.2005.00788.x
Madhav, K. C., Sherchand, S. P., & Sherchan, S. (2017). Association between screen time and depression among US adults. Preventive Medicine Reports, 8, 67–71. https://doi.org/10.1016/j.pmedr.2017.08.005
Maierova, L., Borisuit, A., Scartezzini, J.-L., Jaeggi, S. M., Schmidt, C., & Münch, M. (2016). Diurnal variations of hormonal secretion, alertness and cognition in extreme chronotypes under different lighting conditions. Scientific Reports, 6(1), 1–10. https://doi.org/10.1038/srep33591
Peirce, J., Gray, J. R., Simpson, S., MacAskill, M., Höchenberger, R., Sogo, H., Kastman, E., & Lindeløv, J. K. (2019). PsychoPy2: Experiments in behavior made easy. Behavior Research Methods, 51(1), 195–203. https://doi.org/10.3758/s13428-018-01193-y
Lunn, J., & Chen, J.-Y. (2022). Chronotype and time of day effects on verbal and facial emotional Stroop task performance in adolescents. Chronobiology International, 39(3), 323–332. https://doi.org/10.1080/07420528.2021.1998102
LimeSurvey Project Team. (2012). LimeSurvey: An Open Source survey tool. LimeSurvey Project. http://www.limesurvey.org Loureiro, F., & Garcia-Marques, T. (2015). Morning or Evening person? Which type are you? Self-assessment of chronotype. Personality and Individual Differences, 86, 168–171. https://doi.org/10.1016/j.paid.2015.06.022
Liao, D., Ishii, L. E., Chen, J., Chen, L. W., Kumar, A., Papel, I. D., Kontis, T. C., Byrne, P. J., Boahene, K. D. O., & Ishii, M. (2020). How Old Do I Look? Exploring the Facial Cues of Age in a Tasked Eye-Tracking Study. Facial Plastic Surgery & Aesthetic Medicine, 22(1), 36–41. https://doi.org/10.1089/fpsam.2019.29001.lia
Levandovski, R., Sasso, E., & Hidalgo, M. P. (2013). Chronotype: a review of the advances, limits and applicability of the main instruments used in the literature to assess human phenotype. Trends in Psychiatry and Psychotherapy, 35(1), 3–11. https://doi.org/10.1590/S2237-60892013000100002
Langner, R., Steinborn, M. B., Chatterjee, A., Sturm, W., & Willmes, K. (2010). Mental fatigue and temporal preparation in simple reaction-time performance. Acta Psychologica, 133(1), 64–72. https://doi.org/10.1016/j.actpsy.2009.10.001
Lack, L., Bailey, M., Lovato, N., & Wright, H. (2009). Chronotype differences in circadian rhythms of temperature, melatonin, and sleepiness as measured in a modified constant routine protocol. Nature and Science of Sleep, 1, 1-8. https://doi.org/10.2147/nss.s6234 Lack, L. C., & Bailey, M. (1994). Endogenous circadian rhythms of evening and morning types. Sleep Res, 23, 501.
Kerkhof, G. A., & Van Dongen, H. P. A. (1996). Morning-type and evening-type individuals differ in the phase position of their endogenous circadian oscillator. Neuroscience Letters, 218(3), 153–156. https://doi.org/10.1016/s0304-3940(96)13140-2
Kachur, A., Osin, E., Davydov, D., Shutilov, K., & Novokshonov, A. (2020). Assessing the Big Five personality traits using real-life static facial images. Scientific Reports, 10(1), Article 8487. https://doi.org/10.1038/s41598-020-65358-6
IBM Corp. (2021). Statistical package for the social sciences (Version 28) [Computer Software]. https://www.ibm.com/products/spss-statistics
Horne, J. A., & Ostberg, O. (1976). A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. International Journal of Chronobiology, 4(2), 97–110. http://www.ncbi.nlm.nih.gov/pubmed/1027738
Horne, J. A., brass, C. G., & Petitt, A. N. (1980). Circadian performance differences between morning and evening ‘types.’ Ergonomics, 23(1), 29–36. https://doi.org/10.1080/00140138008924715
FFmpeg Developers (2016). FFmpeg tool (Version 4.3.0) [Computer software]. https://ffmpeg.org/download.html Frings, D. (2015). The effects of low levels of fatigue on face recognition among individuals and team members. Journal of Applied Social Psychology, 45(8), 461–470. https://doi.org/10.1111/jasp.12312
Nowack, K., & Van Der Meer, E. (2014). Impact of chronotype and time perspective on the processing of scripts. International Journal of Psychophysiology, 92(2), 49–58. http://dx.doi.org/10.1016/j.ijpsycho.2014.02.004
Schmidt, C., Collette, F., Cajochen, C., & Peigneux, P. (2007). A time to think: Circadian rhythms in human cognition. Cognitive Neuropsychology, 24(7), 755–789. https://doi.org/10.1080/02643290701754158
Preckel, F., Lipnevich, A. A., Schneider, S., & Roberts, R. D. (2011). Chronotype, cognitive abilities, and academic achievement: A meta-analytic investigation. Learning and Individual Differences, 21(5), 483–492. https://doi.org/10.1016/j.lindif.2011.07.003
Vitale, J. A., Roveda, E., Montaruli, A., Galasso, L., Weydahl, A., Caumo, A., & Carandente, F. (2015). Chronotype influences activity circadian rhythm and sleep: Differences in sleep quality between weekdays and weekend. Chronobiology International, 32(3), 405–415. https://doi.org/10.3109/07420528.2014.986273
Yaremenko, S., Sauerland, M., & Hope, L. (2021b). Eyewitness identification performance is not affected by time-of-day optimality. Scientific Reports, 11(1), Artticle 3462. https://doi.org/10.1038/s41598-021-82628-z
Yaremenko, S., Sauerland, M., & Hope, L. (2021a). Circadian Rhythm and Memory Performance: No Time-Of-Day Effect on Face Recognition. Collabra: Psychology, 7(1), Article 21939. https://doi.org/10.1525/collabra.21939
Yang, L., Hasher, L., & Wilson, D. E. (2007). Synchrony effects in automatic and controlled retrieval. Psychonomic Bulletin & Review, 14(1), 51–56.
Venkat, N., Sinha, M., Sinha, R., Ghate, J., & Pande, B. (2020). Neuro-Cognitive Profile of Morning and Evening Chronotypes at Different Times of Day. Annals of Neurosciences, 27(3–4), 257–265. https://doi.org/10.1177/0972753121990280
Puttaert, D., Adam, S., & Peigneux, P. (2019). Subjectively‐defined optimal/non‐optimal time of day modulates controlled but not automatic retrieval processes in verbal memory. Journal of Sleep Research, 28(4), Article e12798. https://doi.org/10.1111/jsr.12798
Van Tienoven, T. P., Minnen, J., Daniels, S., Weenas, D., Raaijmakers, A., & Glorieux, I. (2014). Calculating the social rhythm metric (SRM) and examining its use in interpersonal social rhythm therapy (IPSRT) in a healthy population study. Behavioral Sciences, 4(3), 265–277. https://doi.org/10.3390/bs4030265
Valdez, P. (2019). Circadian Rhythms in Attention. The Yale Journal of Biology and Medicine, 92(1), 81–92.
The jamovi project (2021). jamovi (Version 2.5.5.0) [Computer Software]. https://www.jamovi.org/download.html Tiddeman, B., & Perrett, D. (2002). Transformation of dynamic facial image sequences using static 2D prototypes. The Visual Computer, 18(4), 218–225. https://doi.org/10.1007/s003710100142
Taillard, J., Philip, P., Coste, O., Sagaspe, P., & Bioulac, B. (2003). The circadian and homeostatic modulation of sleep pressure during wakefulness differs between morning and evening chronotypes. Journal of Sleep Research, 12(4), 275–282.
Simor, P., & Polner, B. (2017). Differential influence of asynchrony in early and late chronotypes on convergent thinking. Chronobiology International, 34(1), 118–128. https://doi.org/10.1080/07420528.2016.1246454
Silva, C. F., Silvério, J. M. A., Rodrigues, P. J. F., Pandeirada, J., Fernandes, S. M., Macedo, F. B. D., & Razente, S. N. (2002). The Portuguese version of the Horne and Ostberg morningness-eveningness questionnaire: Its role in education and psychology. Revista Psicologia e Educação, 1(1-2), 39-50.
Schmidt, C., Collette, F., Leclercq, Y., Sterpenich, V., Vandewalle, G., Berthomier, P., Berthomier, C., Phillips, C., Tinguely, G., & Darsaud, A. (2009). Homeostatic sleep pressure and responses to sustained attention in the suprachiasmatic area. Science, 324(5926), 516–519. https://doi.org/10.1126/science.1167337
Facer-Childs, E. R., Boiling, S., & Balanos, G. M. (2018). The effects of time of day and chronotype on cognitive and physical performance in healthy volunteers. Sports Medicine - Open, 4(1), Article 47. https://doi.org/10.1186/s40798-018-0162-z
Santos, I. M., Silva, A., Bem-Haja, P., Rosa, C., Cerri, L., Queiroz, D. F., ... & Silva, C. F. (2022). The impact of sleep on face recognition memory: A scoping review. Brain Sciences, 12(10), Article 1385. https://doi.org/10.3390/brainsci12101385
Rothen, N., & Meier, B. (2016). Time of day affects implicit memory for unattended stimuli. Consciousness and Cognition, 46, 1–6. https://doi.org/10.1016/j.concog.2016.09.012
Fan, X., Zhou, Q., Liu, Z., & Xie, F. (2015). Electroencephalogram assessment of mental fatigue in visual search. Bio-Medical Materials and Engineering, 26 Suppl 1, S1455-1463. https://doi.org/10.3233/BME-151444
Bridges, D., Pitiot, A., MacAskill, M. R., & Peirce, J. W. (2020). The timing mega-study: comparing a range of experiment generators, both lab-based and online. PeerJ, 8, Article e9414. https://doi.org/10.7717/peerj.9414
Fabbri, M., Mencarelli, C., Adan, A., & Natale, V. (2013). Time-of-day and circadian typology on memory retrieval. Biological Rhythm Research, 44(1), 125–142. https://doi.org/10.1080/09291016.2012.656244
Evansová, K., Červená, K., Novák, O., Dudysová, D., Nekovářová, T., Fárková, E., & Fajnerová, I. (2022). The effect of chronotype and time of assessment on cognitive performance. Biological Rhythm Research, 53(4), 608–627. https://doi.org/10.1080/09291016.2020.1822053
Allen Gomes, A., Ruivo Marques, D., Meia-Via, A. M., Meia-Via, M., Tavares, J., Fernandes Da Silva, C., & Pinto De Azevedo, M. H. (2015). Basic Scale on Insomnia complaints and Quality of Sleep (BaSIQS): Reliability, initial validity and normative scores in higher education students. Chronobiology International, 32(3), 428–440. https://doi.org/10.3109/07420528.2014.986681
Correa, Á., Molina, E., & Sanabria, D. (2014). Effects of chronotype and time of day on the vigilance decrement during simulated driving. Accident Analysis & Prevention, 67, 113–118. https://doi.org/10.1016/j.aap.2014.02.020
Carciofo, R., Du, F., Song, N., & Zhang, K. (2014). Chronotype and time-of-day correlates of mind wandering and related phenomena. Biological Rhythm Research, 45(1), 37–49. https://doi.org/10.1080/09291016.2013.790651
Boutet, I., & Meinhardt-Injac, B. (2021). Measurement of individual differences in face-identity processing abilities in older adults. Cognitive Research: Principles and Implications, 6(1), Article 48. https://doi.org/10.1186/s41235-021-00310-4
Blatter, K., & Cajochen, C. (2007). Circadian rhythms in cognitive performance: methodological constraints, protocols, theoretical underpinnings. Physiology & Behavior, 90(2–3), 196–208. https://doi.org/10.1016/j.physbeh.2006.09.009
Bernstein, J. P. K., DeVito, A., & Calamia, M. (2019). Subjectively and objectively measured sleep predict differing aspects of cognitive functioning in adults. Archives of Clinical Neuropsychology, 34(7), 1127–1137. https://doi.org/10.1093/arclin/acz017
Axelsson, J., Sundelin, T., Olsson, M. J., Sorjonen, K., Axelsson, C., Lasselin, J., & Lekander, M. (2018). Identification of acutely sick people and facial cues of sickness. Proceedings of the Royal Society B: Biological Sciences, 285(1870), Article 20172430. https://doi.org/10.1098/rspb.2017.2430
Au, J., & Reece, J. (2017). The relationship between chronotype and depressive symptoms: A meta-analysis. Journal of Affective Disorders, 218, 93–104. https://doi.org/https://doi.org/10.1016/j.jad.2017.04.021
Adan, A., & Almirall, H. (1991). Horne & Östberg morningness-eveningness questionnaire: A reduced scale. Personality and Individual Differences, 12(3), 241–253. https://doi.org/10.1016/0191-8869(91)90110-W
Adan, A., Archer, S. N., Hidalgo, M. P., Di Milia, L., Natale, V., & Randler, C. (2012). Circadian Typology: A Comprehensive Review. Chronobiology International, 29(9), 1153–1175. https://doi.org/10.3109/07420528.2012.719971
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