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Article to review

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Face advantage in memory recall[edit]

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During face perception, neural networks make connections with the brain to recall memories. According to the Seminal Model of face perception, there are three stages of face processing including recognition of the face, the recall of memories and information that are linked with that face, and finally name recall. There are, however, exceptions to this order. For example, names are recalled faster than semantic information in cases of highly familiar stimuli. While the face is powerful identifier of individuals, the voice also helps in the recognition of people and is an identifier for important information.

Research has been conducted to see if faces or voices make it easier to identify individuals and recall semantic memory and episodic memory. These experiments look at all three stages of face processing. The experiment method was to show two groups celebrity and familiar faces or voices with a between-group design and ask the participants to recall information about them. The participants are first asked if the stimulus is familiar. If they answer yes then they are asked to information (semantic memory) and memories they have of the person (episodic memory) that fits the face or voice presented. These experiments all demonstrate the strong phenomenon of the face advantage and how it persists through different follow-up studies with different experimental controls and variables. [1]

Facial Recognition/ Expression

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References

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Aranguren, M., & Tonnelat, S. (2014). Emotional Transactions in the Paris Subway: Combining Naturalistic Videotaping, Objective Facial Coding and Sequential Analysis in the Study of Nonverbal Emotional Behavior. Journal of Nonverbal Behavior, 38(4), 495–521. https://doi-org.ezproxy.uvu.edu/10.1007/s10919-014-0193-1[2]

Connolly, H. L., Young, A. W., & Lewis, G. J. (2019). Recognition of facial expression and identity in part reflects a common ability, independent of general intelligence and visual short-term memory. Cognition and Emotion, 33(6), 1119–1128. https://doi-org.ezproxy.uvu.edu/10.1080/02699931.2018.1535425[3]

de la Rosa, S., Fademrecht, L., Bülthoff, H. H., Giese, M. A., & Curio, C. (2018). Two Ways to Facial Expression Recognition? Motor and Visual Information Have Different Effects on Facial Expression Recognition. Psychological Science, 29(8), 1257–1269. https://doi-org.ezproxy.uvu.edu/10.1177/0956797618765477[4]

Eisenberg, N., Fabes, R. A., Murphy, B., Karbon, M., Maszk, P., Smith, M., … Suh, K. (1994). Facial Reactions Coding. Journal of Personality and Social Psychology, 66, 776–797. Retrieved from http://search.ebscohost.com.ezproxy.uvu.edu/login.aspx?direct=true&db=hpi&AN=HaPI-47699&site=eds-live[5]

Ekman, P., Friesen, W. V., Sayette, M. A., & Hufford, M. R. (1995). Facial Action Coding System. Experimental and Clinical Psychopharmacology, 3, 417–423. Retrieved from http://search.ebscohost.com.ezproxy.uvu.edu/login.aspx?direct=true&db=hpi&AN=HaPI-89046&site=eds-live[6]

Haines, N., Southward, M. W., Cheavens, J. S., Beauchaine, T., & Ahn, W.-Y. (2019). Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity. PLoS ONE, 14(2), 1–23. https://doi-org.ezproxy.uvu.edu/10.1371/journal.pone.0211735[7]

Kaiser, S., Wehrle, T., Kaiser, S., & Wehrle, T. (1992). Facial Expression Analysis Tool. Journal of Nonverbal Behavior, 16, 67–84. Retrieved from http://search.ebscohost.com.ezproxy.uvu.edu/login.aspx?direct=true&db=hpi&AN=HaPI-28045&site=eds-live[8]

Kodra, E.; Senechal, T.; McDuff, D.; Kaliouby, R. el (2013-4). "From dials to facial coding: Automated detection of spontaneous facial expressions for media research". 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG): 1–6. doi:10.1109/FG.2013.6553780[9]

Kring AM, Sloan DM, Kring AM, Sloan DM. Emotion Facial Action Coding System. Psychological Assessment. 2007;19(2):210-224. http://search.ebscohost.com.ezproxy.uvu.edu/login.aspx?direct=true&db=hpi&AN=HaPI-299299&site=eds-live. Accessed November 10, 2019.[10]

Lewinski, P., den Uyl, T. M., & Butler, C. (2014). Automated facial coding: Validation of basic emotions and FACS AUs in FaceReader. Journal of Neuroscience, Psychology, and Economics, 7(4), 227–236. https://doi-org.ezproxy.uvu.edu/10.1037/npe0000028.supp (Supplemental)[11]

Malatesta, C. Z., Izard, C. E., Malatesta-Magai, C., Jonas, R., Shepard, B., & Culver, L. C. (1992). Maximally Discriminative Facial Movement Coding System. Psychology and Aging, 7, 551–561. Retrieved from http://search.ebscohost.com.ezproxy.uvu.edu/login.aspx?direct=true&db=hpi&AN=HaPI-34842&site=eds-live[12]

Noordewier, M. K., & van Dijk, E. (2019). Surprise: Unfolding of facial expressions. Cognition and Emotion, 33(5), 915–930. https://doi-org.ezproxy.uvu.edu/10.1080/02699931.2018.1517730[13]

Palermo, R., Jeffery, L., Lewandowsky, J., Fiorentini, C., Irons, J. L., Dawel, A., … Rhodes, G. (2018). Adaptive face coding contributes to individual differences in facial expression recognition independently of affective factors. Journal of Experimental Psychology: Human Perception and Performance, 44(4), 503–517. https://doi-org.ezproxy.uvu.edu/10.1037/xhp0000463[14]

PLOS ONE Staff. (2019). Correction: Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity. PLoS ONE, (3), e0213756. https://doi-org.ezproxy.uvu.edu/10.1371/journal.pone.0213756[15]

Prada, M., Garrido, M. V., Camilo, C., & Rodrigues, D. L. (2018). Subjective ratings and emotional recognition of children’s facial expressions from the CAFE set. Plos One, 13(12), e0209644. https://doi-org.ezproxy.uvu.edu/10.1371/journal.pone.0209644[16]

Sajjad, M., Zahir, S., Ullah, A., Akhtar, Z., & Muhammad, K. (2019). Human Behavior Understanding in Big Multimedia Data Using CNN based Facial Expression Recognition. Mobile Networks and Applications: The Journal of SPECIAL ISSUES on Mobility of Systems, Users, Data and Computing, 1. https://doi-org.ezproxy.uvu.edu/10.1007/s11036-019-01366-9[17]

Samadiani, N., Huang, G., Cai, B., Luo, W., Chi, C.-H., Xiang, Y., & He, J. (2019). A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data. Sensors (Basel, Switzerland), 19(8). https://doi-org.ezproxy.uvu.edu/10.3390/s19081863[18]

Rosenberg, E. L., & Ekman, P. (2005). What the face reveals : basic and applied studies of spontaneous expression using the facial action coding system (FACS). Oxford University Press. Retrieved from http://search.ebscohost.com.ezproxy.uvu.edu/login.aspx?direct=true&db=cat07712a&AN=flc.52648&site=eds-live[19]

Yoshimura, Sayaka; Sato, Wataru; Uono, Shota; Toichi, Motomi (2015-5). "Impaired Overt Facial Mimicry in Response to Dynamic Facial Expressions in High-Functioning Autism Spectrum Disorders". Journal of Autism and Developmental Disorders. 45 (5): 1318–1328. doi:10.1007/s10803-014-2291-7[20]


  1. ^ "Face perception", Wikipedia, 2019-09-19, retrieved 2019-10-07
  2. ^ Aranguren, Martin; Tonnelat, Stéphane (2014-09-18). "Emotional Transactions in the Paris Subway: Combining Naturalistic Videotaping, Objective Facial Coding and Sequential Analysis in the Study of Nonverbal Emotional Behavior". Journal of Nonverbal Behavior. 38 (4): 495–521. doi:10.1007/s10919-014-0193-1. ISSN 0191-5886.
  3. ^ Connolly, Hannah L.; Young, Andrew W.; Lewis, Gary J. (2018-10-18). "Recognition of facial expression and identity in part reflects a common ability, independent of general intelligence and visual short-term memory". Cognition and Emotion. 33 (6): 1119–1128. doi:10.1080/02699931.2018.1535425. ISSN 0269-9931.
  4. ^ de la Rosa, Stephan; Fademrecht, Laura; Bülthoff, Heinrich H.; Giese, Martin A.; Curio, Cristóbal (2018-8). "Two Ways to Facial Expression Recognition? Motor and Visual Information Have Different Effects on Facial Expression Recognition". Psychological Science. 29 (8): 1257–1269. doi:10.1177/0956797618765477. ISSN 0956-7976. {{cite journal}}: Check date values in: |date= (help)
  5. ^ Eisenberg, Nancy; Fabes, Richard A.; Murphy, Bridget; Karbon, Mariss; Maszk, Pat; Smith, Melanie; O'Boyle, Cherie; Suh, Karen (1994). "The relations of emotionality and regulation to dispositional and situational empathy-related responding". Journal of Personality and Social Psychology. 66 (4): 776–797. doi:10.1037/0022-3514.66.4.776. ISSN 1939-1315.
  6. ^ Sayette, Michael A.; Hufford, Michael R. (1995). "Urge and affect: A facial coding analysis of smokers". Experimental and Clinical Psychopharmacology. 3 (4): 417–423. doi:10.1037//1064-1297.3.4.417. ISSN 1064-1297.
  7. ^ Haines, Nathaniel; Southward, Matthew W.; Cheavens, Jennifer S.; Beauchaine, Theodore; Ahn, Woo-Young (2019-02-05). Hinojosa, José A. (ed.). "Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity". PLOS ONE. 14 (2): e0211735. doi:10.1371/journal.pone.0211735. ISSN 1932-6203. PMC 6363175. PMID 30721270.{{cite journal}}: CS1 maint: PMC format (link) CS1 maint: unflagged free DOI (link)
  8. ^ Kaiser, Susanne; Wehrle, Thomas (1992). "Automated coding of facial behavior in human-computer interactions with facs". Journal of Nonverbal Behavior. 16 (2): 67–84. doi:10.1007/bf00990323. ISSN 0191-5886.
  9. ^ Kodra, E.; Senechal, T.; McDuff, D.; Kaliouby, R. el (2013-4). "From dials to facial coding: Automated detection of spontaneous facial expressions for media research". 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG): 1–6. doi:10.1109/FG.2013.6553780. {{cite journal}}: Check date values in: |date= (help)
  10. ^ Kring, Ann M.; Sloan, Denise M. (2007). "The Facial Expression Coding System (FACES): Development, validation, and utility". Psychological Assessment. 19 (2): 210–224. doi:10.1037/1040-3590.19.2.210. ISSN 1939-134X.
  11. ^ "Supplemental Material for Automated Facial Coding: Validation of Basic Emotions and FACS AUs in FaceReader". Journal of Neuroscience, Psychology, and Economics. 2014. doi:10.1037/npe0000028.supp. ISSN 1937-321X.
  12. ^ Malatesta-Magai, Carol; Jonas, Ruth; Shepard, Beth; Culver, L. Clayton (1992). "Type A behavior pattern and emotion expression in younger and older adults". Psychology and Aging. 7 (4): 551–561. doi:10.1037//0882-7974.7.4.551. ISSN 0882-7974.
  13. ^ Noordewier, Marret K.; van Dijk, Eric (2018-09-06). "Surprise: unfolding of facial expressions". Cognition and Emotion. 33 (5): 915–930. doi:10.1080/02699931.2018.1517730. ISSN 0269-9931.
  14. ^ Palermo, Romina; Jeffery, Linda; Lewandowsky, Jessica; Fiorentini, Chiara; Irons, Jessica L.; Dawel, Amy; Burton, Nichola; McKone, Elinor; Rhodes, Gillian (2018-4). "Adaptive face coding contributes to individual differences in facial expression recognition independently of affective factors". Journal of Experimental Psychology: Human Perception and Performance. 44 (4): 503–517. doi:10.1037/xhp0000463. ISSN 1939-1277. {{cite journal}}: Check date values in: |date= (help)
  15. ^ The PLOS ONE Staff (2019-03-07). "Correction: Using computer-vision and machine learning to automate facial coding of positive and negative affect intensity". PLOS ONE. 14 (3): e0213756. doi:10.1371/journal.pone.0213756. ISSN 1932-6203. PMC 6405194. PMID 30845204.{{cite journal}}: CS1 maint: PMC format (link) CS1 maint: unflagged free DOI (link)
  16. ^ Prada, Marília; Garrido, Margarida V.; Camilo, Cláudia; Rodrigues, David L. (2018-12-27). Olino, Thomas M. (ed.). "Subjective ratings and emotional recognition of children's facial expressions from the CAFE set". PLOS ONE. 13 (12): e0209644. doi:10.1371/journal.pone.0209644. ISSN 1932-6203. PMC 6307702. PMID 30589868.{{cite journal}}: CS1 maint: PMC format (link) CS1 maint: unflagged free DOI (link)
  17. ^ Sajjad, Muhammad; Zahir, Sana; Ullah, Amin; Akhtar, Zahid; Muhammad, Khan (2019-09-09). "Human Behavior Understanding in Big Multimedia Data Using CNN based Facial Expression Recognition". Mobile Networks and Applications. doi:10.1007/s11036-019-01366-9. ISSN 1383-469X.
  18. ^ Samadiani; Huang; Cai; Luo; Chi; Xiang; He (2019-04-18). "A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data". Sensors. 19 (8): 1863. doi:10.3390/s19081863. ISSN 1424-8220. PMC 6514576. PMID 31003522.{{cite journal}}: CS1 maint: PMC format (link) CS1 maint: unflagged free DOI (link)
  19. ^ Ekman, Paul; Rosenberg, Erika L. (2005-04-14). What the Face RevealsBasic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS). Oxford University Press. ISBN 9780195179644.
  20. ^ Yoshimura, Sayaka; Sato, Wataru; Uono, Shota; Toichi, Motomi (2015-5). "Impaired Overt Facial Mimicry in Response to Dynamic Facial Expressions in High-Functioning Autism Spectrum Disorders". Journal of Autism and Developmental Disorders. 45 (5): 1318–1328. doi:10.1007/s10803-014-2291-7. ISSN 0162-3257. {{cite journal}}: Check date values in: |date= (help)