Skip to main content

Nonverbal Receiving Ability as Emotional and Cognitive Empathy: Conceptualization and Measurement

  • Chapter
  • First Online:
Social Intelligence and Nonverbal Communication
  • 2564 Accesses

Abstract

Nonverbal receiving abilities are a critical component of social intelligence. We relate nonverbal receiving ability to research on emotional and cognitive empathy and review attempts to develop psychometrically construct-valid and reliable tests of nonverbal receiving ability. We describe the Communication of Affect Receiving Ability Test (CARAT) that uniquely employs ecologically valid, dynamic video clips of spontaneous emotional expressions and new versions of CARAT intended to extend the nomological net associated with nonverbal receiving ability/empathy. We describe CARAT-SPR (Spontaneous, Posed, Regulated) designed to assess both emotional and cognitive empathy and the CARAT-DPA (Discrete Primary Affects) designed to measure abilities to detect specific expressions of discrete primary affects in the dynamic stream of spontaneous expression, showing evidence of construct validity of skills for judging spontaneous emotional expression.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Corrections to correlations, for example, for attenuation and/or range restriction, are considered by these meta-analyses.

  2. 2.

    A recent meta-analysis of the relationship between emotional receiving ability and intelligence in adults showed an overall effect size of r = .19, suggesting that it may be an ability amid other mental abilities that are distinct from each other yet may share an “elementary cognitive basis” (Schlegel et al., 2019).

  3. 3.

    As each sender appears only once in CARAT-SPR, emotion correlation scores cannot be taken.

References

  • Ambady, N., & Rosenthal, R. (1993). Half a minute: Predicting teacher evaluations from thin slices of nonverbal behavior and physical attractiveness. Journal of Personality and Social Psychology, 64, 431–441.

    Article  Google Scholar 

  • Bänziger, T., Grandjean, D., & Scherer, K. R. (2009). Emotion recognition from expressions in face, voice, and body: The Multimodal Emotion Recognition Test (MERT). Emotion, 9, 691–704.

    Article  Google Scholar 

  • Bänziger, T., Mortillaro, M., & Scherer, K. R. (2012). Introducing the Geneva multimodal expression corpus for experimental research on emotion perception. Emotion, 12, 1161–1179. https://doi.org/10.1037/a0025827

    Article  Google Scholar 

  • Bänziger, T., & Scherer, K. R. (2010). Introducing the Geneva multimodal emotion portrayal (GEMEP) corpus. In K. R. Scherer, T. Bänziger, & E. Roesch (Eds.), A blueprint for affective computing: A sourcebook and manual (pp. 271–294). Oxford, UK: Oxford University Press.

    Google Scholar 

  • Bänziger, T., Scherer, K. R., Hall, J. A., & Rosenthal, R. (2011). Introducing the MiniPONS: A short multichannel version of the profile of nonverbal sensitivity (PONS). Journal of Nonverbal Behavior, 35, 189–204. https://doi.org/10.1007/s10919-011-0108-3

    Article  Google Scholar 

  • Baron-Cohen, S., Wheelwright, S., Hill, J., Raste, Y., & Plumb, I. (2001). The ‘Reading the Mind in the Eyes’ test revised version: A study with normal adults, and adults with Asperger syndrome or high-functioning autism. Journal of Child Psychology and Psychiatry, 42, 241–251.

    Article  Google Scholar 

  • Bettadapura, V. (2012). Face Expression Recognition and Analysis: The State of the Art. Technical Report, arXiv:1203.6722, March 2012. Cornell University Library. SAO/MASA ADS arXiv e-prints Abstract Service. Bibliographic Code: 2012arXiv1203.6722B.

    Google Scholar 

  • Boone, R. T., & Buck, R. (2003). Emotional expressivity and trustworthiness: The role of nonverbal behavior in the evolution of cooperation. Journal of Nonverbal Behavior, 27, 163–182.

    Article  Google Scholar 

  • Bruner, J., & Tagiuri, R. (1954). The perception of people. In G. Lindzey (Ed.), Handbook of social psychology (Vol. 2). Reading, MA: Addison Wesley.

    Google Scholar 

  • Buck, R. (1975). Nonverbal communication of affect in children. Journal of Personality and Social Psychology, 31, 644653.

    Article  Google Scholar 

  • Buck, R. (1976). A test of nonverbal receiving ability: Preliminary studies. Human Communication Research, 2, 162–171.

    Article  Google Scholar 

  • Buck, R. (1977). Nonverbal communication of affect in preschool, children: Relationships with personality and skin conductance. Journal of Personality and Social Psychology, 35, 225–236.

    Article  Google Scholar 

  • Buck, R. (1984). The communication of emotion. New York: Guilford Press.

    Google Scholar 

  • Buck, R. (2014). Emotion: A biosocial Synthesis. Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Buck, R., Battaglia, J., & Dana, E. (2019). Introducing the CARAT-DPA: A test to assess sensitivity to discrete primary emotions expressed objectively in dynamic and spontaneous facial displays. Presentation at the meeting of the Society for Affective Science, March 21–23, 2019. Boston, MA, USA.

    Google Scholar 

  • Buck, R., Dana, E., Battaglia, J., Powers, S., & Hull, K. (2017, April 28). Analyzing Communication of Affect Receiving Ability Test clips of spontaneous, posed, and regulated expressions using FACET facial expression recognition and analysis software. Presentation at the meeting of the Society for Affective Science, Boston, MA.

    Google Scholar 

  • Buck, R., & Duffy, R. J. (1980). Nonverbal communication of affect in brain-damaged patients. Cortex, 16, 351–362.

    Article  Google Scholar 

  • Buck, R., Miller, R. E., & Caul, W. F. (1974). Sex, personality, and physiological variables in the communication of emotion via facial expression. Journal of Personality and Social Psychology, 30, 587–596.

    Article  Google Scholar 

  • Buck, R., & Powers, S. R. (2006). The biological foundations of social organization: The dynamic emergence of social structure through nonverbal communication. In V. Manusov & M. Patterson (Eds.), The SAGE handbook of nonverbal communication (pp. 119–138). Thousand Oaks, CA: Sage Publications.

    Chapter  Google Scholar 

  • Buck, R., Powers, S. R., & Hull, K. S. (2017). Measuring emotional and cognitive empathy using dynamic, naturalistic, and spontaneous emotion displays. Emotion, 17(7): 1120–1136. https://doi.org/10.1037/emo0000285. http://today.uconn.edu/2016/02/brain-imaging-technology-reveals-hidden-emotions/

    Article  Google Scholar 

  • Buck, R., Savin, V. J., Miller, R. E., & Caul, W. F. (1972). Nonverbal communication of affect in humans. Journal of Personality and Social Psychology, 23, 362–371.

    Article  Google Scholar 

  • Buck, R., & Van Lear, C. A. (2002). Verbal and nonverbal communication: Distinguishing symbolic, spontaneous, and pseudo-spontaneous nonverbal behavior. Journal of Communication, 52, 522–541.

    Article  Google Scholar 

  • Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81–105. https://doi.org/10.1037/h0046016

    Article  Google Scholar 

  • Cline, V. B. (1964). Interpersonal perception. In B. A. Maher (Ed.), Progress in experimental personality research (Vol. 1). New York: Academic.

    Google Scholar 

  • Cohn, D. F., & Schmidt, K. L. (2004). The timing of facial motion in posed and spontaneous smiles. International Journal of Wavelets, Multiresolution, and Information Processing, 2, 1–12.

    Article  Google Scholar 

  • Cremers, H., Lee, R., Keedy, S., Phan, K. L., & Coccaro, E. (2016). Effects of escitalopram administration on face processing in intermittent explosive disorder: An fMRI study. Neuropsychopharmacology, 41, 90–597.

    Article  Google Scholar 

  • Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281–302.

    Article  Google Scholar 

  • Cronlein, T., Langguth, B., Eichhammer, P., & Busch, V. (2016, April 13). Impaired recognition of facially expressed emotions in different groups of patients with sleep disorders. PLOS One, pp. 1–9. https://doi.org/10.1371/journal.pone.0152754

    Article  Google Scholar 

  • Cuff, B. M. P., Brown, S. J., Taylor, L., & Howat, D. J. (2012). Empathy: A review of the concept. Emotion Review, 8, 144–153.

    Article  Google Scholar 

  • Decety, J., & Jackson, P. L. (2004). The functional architecture of human empathy. Behavioral and Cognitive Neuroscience Reviews, 3, 71–100. https://doi.org/10.1177/1534582304267187

    Article  Google Scholar 

  • Drolet, M., Schubotz, R. I., & Fischer, J. (2012). Authenticity affects the recognition of emotions in speech: Behavioral and fMRI evidence. Cognitive, Affective, and Behavioral Neuroscience, 12, 140–150. https://doi.org/10.3758/s13415-011-0069-3

    Article  Google Scholar 

  • Ekman, P., & Friesen, V. W. (1978). Facial Action Coding System (FACS): A technique for the measurement of facial action (pp. 19–46). Palo Alto, CA: Consulting Psychologists Press.

    Google Scholar 

  • Ekman, P., & Friesen, W. V. (1974). Nonverbal behavior and psychopathology. In R. J. Friedman & M. Katz (Eds.), The psychology of depression: Contemporary theory and research (pp. 3–31). Washington, DC: Winston & Sons.

    Google Scholar 

  • Ekman, P., & Friesen, W. V. (1975). Pictures of Facial Affect. Palo Alto, CA: Consulting Psychologists Press.

    Google Scholar 

  • Ekman, P., & Friesen, W. V. (1976). Measuring facial movement. Environmental Psychology and Nonverbal Behavior, 1, 56–75.

    Article  Google Scholar 

  • Ekman, P., Friesen, W. V., & Ellsworth, P. (1972). Emotion in the human face. New York, NY: Pergamon.

    Google Scholar 

  • Ekman, P., Friesen, W. V., & Hagar, J. C. (2002). Facial Action Coding System. Salt Lake City, UT: Network Information Research Corporation.

    Google Scholar 

  • Ekman, P., Sorenson, E. R., & Friesen, W. V. (1969). Pan-cultural elements in facial displays of emotion. Science, 164(3875), 86–88.

    Article  Google Scholar 

  • Elfenbein, H. A., & Eisenkraft, N. (2010). The relationship between displaying and perceiving nonverbal cues of affect: A meta-analysis to solve an old mystery. Journal of Personality and Social Psychology, 98, 301–318.

    Article  Google Scholar 

  • Frijda, N. (1969). Recognition of emotion. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology (Vol. 4, pp. 167–223). New York, NY: Academic Press.

    Google Scholar 

  • German, T. P., Niehaus, J. L., Roarty, M. P., Giesbrecht, B., & Miller, M. (2004). Neural correlates of detecting pretense: Automatic engagement of the intentional stance under covert conditions. Journal of Cognitive Neuroscience, 16, 1805–1817.

    Article  Google Scholar 

  • Gross, R., Matthews, I., Cohn, J. F., Kanade, T., & Baker, S. (2008). Multi-PIE. Proceedings of the Eighth IEEE International Conference on Automatic Face and Gesture Recognition.

    Google Scholar 

  • Gur, R. C., Richard, J., Hughett, P., Calkins, M. E., Macy, L., Bilker, W. B., … Gur, R. E. (2010). A cognitive neuroscience-based computerized battery for efficient measurement of individual differences: Standardization and initial construct validation. Journal of Neuroscience Methods, 187(2), 254–262.

    Article  Google Scholar 

  • Gur, R. C., Sara, R., Hagendoorn, M., Marom, O., Hughett, P., Macy, L., … Gur, R. E. (2002). A method for obtaining 3-dimensional facial expressions and its standardization for use in neurocognitive studies. Journal of Neuroscience Methods, 115, 137–143.

    Article  Google Scholar 

  • Gur, R. C., Schroeder, L., Turner, T., McGrath, C., Chan, R. M., Turetsky, B. I., … Gur, R. E. (2002). Brain activation during facial emotion processing. NeuroImage, 16(Issue 3, Part A), 651–662. https://doi.org/10.1006/nimg.2002.1097

    Article  Google Scholar 

  • Hall, J. A. (2001). The PONS test and the psychometric approach to measuring interpersonal sensitivity. In J. A. Hall & F. J. Bernieri (Eds.), Interpersonal sensitivity: Theory and measurement (pp. 143–160). Mahwah, NJ: Erlbaum.

    Chapter  Google Scholar 

  • Hastorf, A. H., & Bender, I. E. (1952). A caution respecting the measurement of empathetic ability. Journal of Abnormal and Social Psychology, 47, 574–576.

    Article  Google Scholar 

  • Hildebrandt, A., Olderbak, S., & Wilhelm, O. (2015). Facial emotional expression: Individual differences in. In James D. Wright (Ed.): International encyclopedia of the social and behavoral sciences (Vol. 8, 2nd ed., pp. 667–675). Oxford: Elsevier. ISBN: 9780080970868.

    Google Scholar 

  • Hull, K. (2015). Multi-modal outcomes from interpersonal need (un)fulfillment: The emotional, cognitive, and behavioral derivatives of consecutive social contingencies. Unpublished doctoral dissertation, University of Connecticut, 2015.

    Google Scholar 

  • Ickes, W. (1993). Empathic accuracy. Journal of Personality, 61, 587–610.

    Article  Google Scholar 

  • Ickes, W., & Hodges, S. D. (2013). Empathic accuracy in close relationships. In J. A. Simpson & L. Campbell (Eds.), The Oxford handbook of close relationships (pp. 348–373). Oxford, UK: Oxford University Press.

    Google Scholar 

  • Jurgens, U. (1979). Neural control of vocalization in nonhuman primates. In H. L. Steklis & M. J. Raleigh (Eds.), Neurobiology of social communication in primates (pp. 11–44). New York: Academic Press.

    Google Scholar 

  • Jurgens, U., & von Cramon, D. (1982). On the role of the anterior cingulate cortex in phonation: A case report. Brain and Language, 15, 234–248.

    Article  Google Scholar 

  • Kilts, C. D., Egan, G., Gideon, D. A., Ely, T. D., & Hoffman, J. M. (2003). Dissociable neural pathways are involved in the recognition of emotion in static and dynamic displays. Neuroimage, 18, 156–158.

    Article  Google Scholar 

  • Krumhuber, E., & Kappas, A. (2005). Moving smiles: The role of dynamic components for the perception of the genuineness of smiles. Journal of Nonverbal Behavior, 29, 13–24.

    Article  Google Scholar 

  • LaBar, K. S., Crupain, M. J., Voyvodic, J. T., & McCarthy, G. (2003). Dynamic perception of facial affect and identity in the human brain. Cerebral Cortex, 13, 1023–1033.

    Article  Google Scholar 

  • Lawless DesJardins, N. M., & Hodges, S. D. (2015). Reading between the lies: Empathic accuracy and deception detection. Social Psychological and Personality Science, 6, 781–787.

    Article  Google Scholar 

  • MacCorquodale, K., & Meehl, P. E. (1948). On a distinction between hypothetical constructs and intervening variables. Psychological Review, 55, 95–107.

    Article  Google Scholar 

  • Matsumoto, D., & Ekman, P. (1988). Japanese and Caucasian Facial Expressions of Emotion (JACFEE) [Slides]. San Francisco, CA: Intercultural and Emotion Research Laboratory, Department of Psychology, San Francisco State University.

    Google Scholar 

  • Matsumoto, D., LeRoux, J., Wilson-Cohn, C., Raroque, J., Kooken, K., Ekman, P., … Goh, A. (2000). A new test to measure emotion recognition ability: Matsumoto and Ekman’s Japanese and Caucasian brief affect recognition test (JACBERT). Journal of Nonverbal Behavior, 24(3), 179–209.

    Article  Google Scholar 

  • Mayer, J. D. (2019). Q & A on emotional intelligence with John (Jack) D. Mayer. In A. Scarantino (Ed.), Emotion Researcher, ISRE’s Sourcebook for Research on Emotion and Affect. Retrieved May 5, 2019, from http://emotionresearcher.com/q-a-on-emotional-intelligence-with-john-jack-mayer/

  • Mayer, J. D., Caruso, D., & Salovey, P. (1999). Emotional intelligence meets traditional standards for an intelligence. Intelligence, 27, 267–298.

    Article  Google Scholar 

  • Mayer, J. D., Roberts, R. D., & Barsade, S. G. (2008). Human abilities: Emotional intelligence. Annual Review of Psychology, 59, 507–536.

    Article  Google Scholar 

  • Miller, R. E. (1967). Experimental approaches to the physiological and behavioral concomitants of affective communication in rhesus monkeys. In S. A. Altmann (Ed.), Social communication among primates. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Miller, R. E., Caul, W. F., & Mirsky, I. A. (1967). Communication of affects between feral and socially isolated monkeys. Journal of Personality and Social Psychology, 7, 231–239.

    Article  Google Scholar 

  • Miller, R. E., Levine, J. M., & Mirsky, I. A. (1973). Effects of psychoactive drugs on nonverbal communication and group social behavior of monkeys. Journal of Personality & Social Psychology, 28, 396–405.

    Article  Google Scholar 

  • Moore, T. M., Reise, S. P., Gur, R. E., Hakonarson, H., & Gur, R. C. (2015). Psychometric properties of the Penn Computerized Neurocognitive Battery. Neuropsychology, 29, 235–246.

    Article  Google Scholar 

  • Neisser, U., Boodoo, G., Bouchard, T. J., Jr., Boykin, A. W., Brody, N., Ceci, S. J., … Urbina, S. (1996). Intelligence: Knowns and unknowns. American Psychologist, 51(2), 77.

    Article  Google Scholar 

  • Nowicki, S., Jr., & Duke, M. P. (1994). Individual difference in nonverbal communication of affect: The diagnostic analysis of nonverbal accuracy scale. Journal of Nonverbal Behavior, 18, 9–35.

    Article  Google Scholar 

  • Ploog, D. (1981). Neurobiology of primate audio-vocal behavior. Brain Research Reviews, 3(1), 35–61. https://doi.org/10.1016/0165-0173(81)90011-4

    Article  Google Scholar 

  • Powers, S. R., Buck, R., Kiehl, K., & Schaich-Borg, J. (2007). An fMRI study of neural responses to spontaneous emotional expressions: Evidence for a communicative theory of empathy. Paper presented at the 93rd Annual Convention of the National Communication Association. Chicago, IL.

    Google Scholar 

  • Quarto, T., Blasi, G., Maddalena, C., Viscanti, G., Lanciano, T., Soleti, E., … Curci, A. (2016). Association between ability emotional intelligence and left insula during social judgment of facial emotions. PLoS ONE, 11(2), e0148621. https://doi.org/10.1371/journal.pone.0148621

    Article  Google Scholar 

  • Rivers, S. E., Brackett, M. A., Salovey, P., & Mayer, J. D. (2007). Measuring emotional intelligence as a set of mental abilities. In G. Matthews, M. Zeidner, & R. D. Roberts (Eds.), The science of emotional intelligence: Knowns and unknowns (pp. 230–257). Oxford, UK: Oxford University Press.

    Google Scholar 

  • Roberts, R. D., Zeidner, M., & Matthews, G. (2001). Does emotional intelligence meet traditional standards for an intelligence? Some new data and conclusions. Emotion, 1, 196–231.

    Article  Google Scholar 

  • Rosenthal, R., Hall, J. A., DiMatteo, R., Rogers, P. L., & Archer, D. (1979). Sensitivity to nonverbal communication: The PONS Test. Baltimore, MD: Johns Hopkins University Press.

    Google Scholar 

  • Ross, E. (1981). The aprosodias: Functional-anatomic organization of the affective components of language in the right hemisphere. Archives of Neurology, 38, 561–569.

    Article  Google Scholar 

  • Salovey, P., & Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition, and Personality, 9, 185–211. https://doi.org/10.2190/DUGG-P24E-52WK-6CDG

    Article  Google Scholar 

  • Sato, W., Kochiyama, T., Yoshikawa, S., Naito, E., & Matsumura, M. (2004). Enhanced neural activity in response to dynamic facial expressions of emotion: An fMRI study. Cognitive Brain Research, 20, 81–91.

    Article  Google Scholar 

  • Scherer, K. R., & Bänziger, T. (2010). On the use of actor portrayals in research on emotional expression. In K. R. Scherer, T. Bänziger, & E. Roesch (Eds.), A blueprint for affective computing: A sourcebook and manual (pp. 166–176). Oxford, UK: Oxford University Press.

    Google Scholar 

  • Schienle, A., Wabnegger, A., Leitner, M., & Leutgeb, V. (2016). Neuronal correlates of personal space intrusion in violent offenders. Brain Imaging and Behavior. Published online 02 March 2016. https://doi.org/10.1007/s11682-016-9526-5

    Article  Google Scholar 

  • Schlegel, K., Boone, R. T., & Hall, J. A. (2017). Individual differences in interpersonal accuracy: A multi-level analysis to assess whether judging other people is one skill or many. Journal of Nonverbal Behavior, 41(2), 103–113.

    Google Scholar 

  • Schlegel, K., Grandjean, D., & Scherer, K. R. (2014). Introducing the Geneva emotion recognition test: An example of Rasch-based test development. Psychological Assessment, 26, 666–672.

    Article  Google Scholar 

  • Schlegel, K., Palese, T., Schmid Mast, M., Rammsayer, T. H., Hall, J. A., & Murphy, N. A. (2019): A meta-analysis of the relationship between emotion recognition ability and intelligence. Cognition and Emotion. Published online: 21 Jun 2019.

    Google Scholar 

  • Seara-Cardoso, A., Sebastian, C. L., Viding, E., & Roiser, J. P. (2016). Affective resonance in response to others’ emotional faces varies with affective ratings and psychopathic traits in amygdala and anterior insula. Social Neuroscience, 11(2), 140–152. https://doi.org/10.1080/17470919.2015.1044672

    Article  Google Scholar 

  • Shamay-Tsoory, S. G., Aharon-Peretz, J., & Perry, D. (2009). Two systems for empathy: A double dissociation between emotional and cognitive empathy in inferior frontal gyrus versus ventromedial prefrontal lesions. Brain., 132, 617–627. https://doi.org/10.1093/brain/awn279

    Article  Google Scholar 

  • Sim, T., Baker, S., & Bsat, M. (2003). The CMU pose, illumination, and expression database. IEEE Transaction on Pattern Analysis and Machine Intelligence, 25(12), 1615–1618.

    Article  Google Scholar 

  • Spreng, R. N., McKinnon, M. C., Mar, R. A., & Levine, B. (2009). The Toronto Empathy Questionnaire: Scale development and initial validation of a factor-analytic solution to multiple emptahy measures. Journal of Personality Assessment, 91, 62–71.

    Google Scholar 

  • Stoddard, J., Sharif-Askary, B., Harkins, E. A., Frank, H. R., Brotman, M. A., Penton-Voak, I. S., … Leibenluft, E. (2016). An open pilot study of training hostile interpretation bias to treat disruptive mood dysregulation disorder. Journal of Child and Adolescent Psychopharmacology, 26, 49–57.

    Article  Google Scholar 

  • Tai, Y. F., Scherfler, C., & Brooks, D. J. (2004). The human premotor cortex is ‘Mirror’ only for biological actions. Current Biology, 14, 117–120.

    Article  Google Scholar 

  • Telle, N.-T., & Pfister, H.-R. (2016). Positive empathy and prosocial behavior: A neglected link. Emotion Review, 8, 154–163. https://doi.org/10.1177/1754073915586817

    Article  Google Scholar 

  • Tomkins, S. S. (1962–1963). Affect, imagery, and consciousness (Vols. 1 & 2). New York: Springer.

    Google Scholar 

  • Tseng, A., Wang, Z., Huo, Y., Goh, S., Russell, J. A., & Peterson, B. S. (2016). Differences in neural activity when processing emotional arousal and valence in autism spectrum disorders. Human Brain Mapping, 37, 443–461. https://doi.org/10.1002/hbm.23041

    Article  Google Scholar 

  • Uzefovsky, F., Shalev, I., Israel, S., Edelman, S., Raz, Y., Mankuta, D., … Ebstein, R. P. (2015). Oxytocin receptor and vasopressin receptor 1a genes are respectively associated with emotional and cognitive empathy. Hormones and Behavior, 67, 60–65.

    Article  Google Scholar 

  • Uzefovsky, F., Shalev, I., Israel, S., Edelman, S., Raz, Y., Perach-Barzilay, N., … Ebstein, R. P. (2014). The dopamine D4 receptor gene shows a gender-sensitive association with cognitive empathy: Evidence from two independent samples. Emotion, 14, 712–721.

    Article  Google Scholar 

  • van der Schalk, J., Hawk, S. T., Fischer, A. H., & Doosje, B. (2011). Moving faces, looking places: Validation of the Amsterdam Dynamic Facial Expression Set (ADFES). Emotion, 11(4), 907–920. https://doi.org/10.1037/a0023853

    Article  Google Scholar 

  • Wagner, H., Buck, R., & Winterbotham, M. (1993). Communication of specific emotions: Sending accuracy and communication measures. Journal of Nonverbal Behavior, 17, 29–53.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ross Buck .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Buck, R., Graham, B., Allred, R.J., Hancock, R. (2020). Nonverbal Receiving Ability as Emotional and Cognitive Empathy: Conceptualization and Measurement. In: Sternberg, R.J., Kostić, A. (eds) Social Intelligence and Nonverbal Communication. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-34964-6_2

Download citation

Publish with us

Policies and ethics