Advertisement

Exploring Affect Recall Bias and the Impact of Mild Depressive Symptoms: An Ecological Momentary Study

  • Desirée ColomboEmail author
  • Carlos Suso-Ribera
  • Javier Fernandez-Álvarez
  • Isabel Fernandez Felipe
  • Pietro Cipresso
  • Azucena Garcia Palacios
  • Giuseppe Riva
  • Cristina Botella
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 288)

Abstract

Traditional clinical and research assessments rely on retrospective questionnaires, that ask individuals to retrospectively summarize how they felt during the last period. Nevertheless, people are not accurate at recalling past experiences without altering the content, especially when they are required to report their affect. In this study, we adopted a smartphone-based ecological momentary assessment (EMA) to collect daily assessments of positive (PA) and negative (NA) affect throughout two weeks in a sample of healthy students (n = 47). Results showed that both PA and NA are subject to the recall bias; more specifically, people tended to overestimate both affects during the retrospective assessment. This bias was influenced by the presence of mild depressive symptoms as measured by the Beck Depression Inventory (BDI), which led participants to a greater overestimation of NA and higher underestimation of PA. While NA bias was more context-dependent, PA bias showed more stability across time.

Keywords

Ecological momentary assessment Momentary affect Recall bias 

References

  1. 1.
    Shiffman, S., Stone, A.A., Hufford, M.R.: Ecological momentary assessment. Annu. Rev. Clin. Psychol. 4(1), 1–32 (2008)CrossRefGoogle Scholar
  2. 2.
    Gotlib, I.H., Joormann, J.: Cognition and depression: current status and future directions. Annu. Rev. Clin. Psychol. 6, 285–312 (2010)CrossRefGoogle Scholar
  3. 3.
    Wirtz, D., Kruger, J., Scollon, C.N., Diener, E.: Psychol. Sci. 14(5), 520–524 (2003)CrossRefGoogle Scholar
  4. 4.
    Thomas, D.L., Diener, E.: Memory accuracy in the recall of emotions. J. Pers. Soc. Psychol. 59(2), 291–297 (1990)CrossRefGoogle Scholar
  5. 5.
    Kardum, I., Tićac Daskijević, K.: Absolute and relative accuracy in the retrospective estimate of positive and negative mood. Eur. J. Psychol. Assess. 17(1), 69–77 (2001)CrossRefGoogle Scholar
  6. 6.
    Ben-Zeev, D., Young, M.A., Madsen, J.W.: Retrospective recall of affect in clinically depressed individuals and controls. Cogn. Emot. 23(5), 1021–1040 (2009)CrossRefGoogle Scholar
  7. 7.
    Fredrickson, B.L.: Extracting meaning from past affective experiences: the importance of peaks, ends, and specific emotions. Cogn. Emot. 14(4), 577–606 (2000)CrossRefGoogle Scholar
  8. 8.
    Levine, L.J., Prohaska, V., Burgess, S.L., Rice, J.A., Laulhere, T.M.: Remembering past emotions: the role of current appraisals. Cogn. Emot. 15(4), 393–417 (2001)CrossRefGoogle Scholar
  9. 9.
    Suso-Ribera, C., Castilla, D., Zaragozá, I., Ribera-Canudas, M.V., Botella, C., García-Palacios, A.: Validity, reliability, feasibility, and usefulness of pain monitor, a multidimensional smartphone app for daily monitoring of adults with heterogeneous chronic pain. Clin. J. Pain 34(10), 900–908 (2018)Google Scholar
  10. 10.
    Mohr, D.C., Zhang, M., Schueller, S.M.: Personal sensing: understanding mental health using ubiquitous sensors and machine learning. Annu. Rev. Clin. Psychol. 13(1), 23–47 (2017)CrossRefGoogle Scholar
  11. 11.
    Gaggioli, A., et al.: A mobile data collection platform for mental health research. Pers. Ubiquit. Comput. 17(2), 241–251 (2013)CrossRefGoogle Scholar
  12. 12.
    Gaggioli, A., et al.: Positive technology: a free mobile platform for the self-management of psychological stress. Annu. Rev. CyberTherapy Telemed. 199, 25–29 (2014)Google Scholar
  13. 13.
    Cipresso, P., et al.: Is your phone so smart to affect your state? An exploratory study based on psychophysiological measures. Neurocomputing 84, 23–30 (2012)CrossRefGoogle Scholar
  14. 14.
    Stone, A.A., Shiffman, S., Atienza, A.A., Nebeling, A.: Historical roots and rationale of ecological momentary assessment (EMA). In: The Science of Real-Time Data Capture: Self-Reports in Health Research, pp. 3–10 (2007)Google Scholar
  15. 15.
    Csikszentmihalyi, M., Larson, R.: Validity and reliability of the experience-sampling method. J. Nerv. Ment. Dis. 175(9), 526–536 (1987)CrossRefGoogle Scholar
  16. 16.
    Ebner-Priemer, U.W., Trull, T.J.: Ecological momentary assessment of mood disorders and mood dysregulation. Psychol. Assess. 21(4), 463–475 (2009)CrossRefGoogle Scholar
  17. 17.
    Bylsma, L.M., Rottenberg, J.: Uncovering the dynamics of emotion regulation and dysfunction in daily life with ecological momentary assessment. In: Nyklíček, I., Vingerhoets, A., Zeelenberg, M. (eds.) Emotion Regulation and Well-Being. Springer, New York (2011).  https://doi.org/10.1007/978-1-4419-6953-8_14Google Scholar
  18. 18.
    Kroenke, K., Spitzer, R.L., Williams, J.B.W.: The PHQ-9: validity of a brief depression severity measure. J. Gen. Intern. Med. 16(9), 606–613 (2001)CrossRefGoogle Scholar
  19. 19.
    Watson, D., Clark, L.A., Tellegen, A.: Development and validation of brief measures of positive and negative affect: the PANAS scales. J. Pers. Soc. Psychol. 54(6), 1063–1070 (1988)CrossRefGoogle Scholar
  20. 20.
    Colombo, D., Cipresso, P., Fernández Alvarez, J., Garcia Palacios, A., Riva, G., Botella, C.: An overview of factors associated with adherence and dropout to ecological momentary assessments in depression. Annu. Rev. CyberTherapy Telemed. (2018)Google Scholar
  21. 21.
    Taylor, S.E., Brown, J.D.: Positive illusions and well-being revisited: separating fact from fiction. Psychol. Bull. 116(1), 21–27 (1994)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Desirée Colombo
    • 1
    Email author
  • Carlos Suso-Ribera
    • 1
  • Javier Fernandez-Álvarez
    • 2
  • Isabel Fernandez Felipe
    • 1
  • Pietro Cipresso
    • 2
    • 3
  • Azucena Garcia Palacios
    • 1
  • Giuseppe Riva
    • 2
    • 3
  • Cristina Botella
    • 1
  1. 1.Department of Basic Psychology, Clinic and PsychobiologyUniversitat Jaume ICastellónSpain
  2. 2.Department of PsychologyUniversità Cattolica del Sacro CuoreMilanItaly
  3. 3.Applied Technology for Neuro-Psychology LabIRCCS Istituto Auxologico ItalianoMilanItaly

Personalised recommendations