Volume 6, Issue 3 (Summer 2018)                   PCP 2018, 6(3): 159-166 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Nazari M A, Alivandivafa M, Lotfi S, Rostami M, Soltani S. Using Signal Detection Theory to Investigate the Impact of Mood Induction on Emotional Information Processing in High BAS/BIS Individuals. PCP 2018; 6 (3) :159-166
URL: http://jpcp.uswr.ac.ir/article-1-539-en.html
1- Division of Cognitive Neuroscience, Faculty of Education & Psychology, University of Tabriz, Tabriz, Iran. , nazaripsycho@yahoo.com
2- Department of Psychology, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
3- Department of Social Work, Istanbul Medipol University, Istanbul, Turkey.
4- Department of Cognitive Psychology, Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran.
Abstract:   (3177 Views)
Objective: The main objective of this study was to investigate the explicit memory bias in the people with high BAS/BIS sensitivity in the different manipulated mood states. 
Methods: By using purposive sampling method, seventy-four participants (undergraduate students) were selected based on z-scores of 480 using the Carver and White’s BAS/BIS scale. They were distributed as: 24 with high BAS sensitivity, 25 with high BIS sensitivity and 25 as the control group. Data were gathered in the framework of quasi-experimental design. All the subjects were presented with emotional words for memorization. Then, the participants in each group were randomly assigned to either a sad or a happy mood induction prior to performing a recognition memory task. Reaction Time (RT), response bias (ß) and sensitivity (d’) for the emotional word recognition was calculated using the signal detection theory. 
Results: Reaction time for recognizing the negative words in the sad mood condition was shorter in the high BIS sensitivity group, relative to the high BAS sensitivity group and controls. No significant differences were observed for sensitivity (d’), neither between groups nor within the control. However, lower ß for negative words was observed in the high BIS sensitivity group only. 
Conclusion: Results indicated that individuals with high BIS sensitivity use more liberal strategy for the negative word recognition. 
Full-Text [PDF 640 kb]   (1529 Downloads) |   |   Full-Text (HTML)  (1402 Views)  
Type of Study: Research | Subject: Psychometric
Received: 2018/01/4 | Accepted: 2018/02/27 | Published: 2018/07/1

1. Baumgartner, T., Esslen, M., & Jäncke, L. (2006). From emotion perception to emotion experience: Emotions evoked by pictures and classical music. International Journal of Psychophysiology, 60(1), 34-43. [DOI:10.1016/j.ijpsycho.2005.04.007] [PMID] [DOI:10.1016/j.ijpsycho.2005.04.007]
2. Bijttebier, P., Beck, I., Claes, L., & Vandereycken, W. (2009). Gray's reinforcement sensitivity theory as a framework for research on personality–psychopathology associations. Clinical Psychology Review, 29(5), 421-30. [DOI:10.1016/j.cpr.2009.04.002] [PMID] [DOI:10.1016/j.cpr.2009.04.002]
3. Bower, G. H. (1992). How might emotions affect learning. In S. Christianson (Ed.), The Handbook of Emotion and Memory: Research and Theory (pp. 3–31). Hillsdale, NJ: Erlbaum.
4. Bradley, M. M., & Lang, P. J. (1994). Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25(1), 49–59. [DOI:10.1016/0005-7916(94)90063-9] [DOI:10.1016/0005-7916(94)90063-9]
5. Carver, C. S., & White, T. L. (1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales. Journal of Personality and Social Psychology, 67(2), 319-33. [DOI:10.1037/0022-3514.67.2.319] [DOI:10.1037/0022-3514.67.2.319]
6. Corr, P. J. (2002). JA Gray's reinforcement sensitivity theory: Tests of the joint subsystems hypothesis of anxiety and impulsivity. Personality and Individual Differences, 33(4), 511-32.[DOI:10.1016/S0191-8869(01)00170-2] [DOI:10.1016/S0191-8869(01)00170-2]
7. Eysenck, M. W., & Byrne, A. (1994). Implicit memory bias, explicit memory bias, and anxiety. Cognition & Emotion, 8(5), 415-31. [DOI:10.1080/02699939408408950] [DOI:10.1080/02699939408408950]
8. Gomez, A., & Gomez, R. (2002). Personality traits of the behavioural approach and inhibition systems: Associations with processing of emotional stimuli. Personality and Individual Differences, 32(8), 1299-316. [DOI:10.1016/S0191-8869(01)00119-2] [DOI:10.1016/S0191-8869(01)00119-2]
9. Gray, J. A. (1987). The psychology of fear and stress. Cambridge: Cambridge University Press.
10. Green, D., & Swets, J. (1966). Signal detection theory and psychophysics. New York: John Wiley & Sons.
11. Heeren, A., Maurage, P., & Philippot, P. (2015). Revisiting attentional processing of non-emotional cues in social anxiety: A specific impairment for the orienting network of attention. Psychiatry Research, 228(1), 136-42. [DOI:10.1016/j.psychres.2015.04.030] [PMID] [DOI:10.1016/j.psychres.2015.04.030]
12. Krantz, D. H. (1969). Threshold theories of signal detection. Psychological Review, 76(3), 308-24. [DOI:10.1037/h0027238] [PMID] [DOI:10.1037/h0027238]
13. Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1995). The International Affective Picture System (IAPS). Gainesville: University of Florida.
14. Lynn, S. K., Ibagon, C., Bui, E., Palitz, S. A., Simon, N. M., & Barrett, L. F. (2016). Working memory capacity is associated with optimal adaptation of response bias to perceptual sensitivity in emotion perception. Emotion, 16(2), 155-63. [DOI:10.1037/emo0000111] [PMID] [PMCID] [DOI:10.1037/emo0000111]
15. Mogg, K., Mathews, A., & Eysenck, M. (1992). Attentional bias to threat in clinical anxiety states. Cognition & Emotion, 6(2), 149-59. [DOI:10.1080/02699939208411064] [DOI:10.1080/02699939208411064]
16. Moseley, P., Smailes, D., Ellison, A., & Fernyhough, C. (2016). The effect of auditory verbal imagery on signal detection in hallucination-prone individuals. Cognition, 146, 206-16.[DOI:10.1016/j.cognition.2015.09.015] [PMID] [PMCID] [DOI:10.1016/j.cognition.2015.09.015]
17. Nabizadeh Chianeh, G., Vahedi, S., Rostami, M., Nazari, M. A. (2012). Validity and reliability of self-assessment manikin. Research in Psychological Health, 6(2), 52-61.
18. Nazari, M. A., & Zamani Asl, M. (2015). The effect of learned helplessness on explicit memory bias in experts and novices. Advances in Cognitive Science, 16(4), 12-21.
19. Parrott, W. G., & Sabini, J. (1990). Mood and memory under natural conditions: Evidence for mood incongruent recall. Journal of personality and Social Psychology, 59(2), 321-36.[DOI:10.1037/0022-3514.59.2.321] [DOI:10.1037/0022-3514.59.2.321]
20. Rafienia, P., Azadfallah, P., Fathi Ashtiani, A., & Rasoulzadeh-Tabatabaiei, K. (2008). The role of extraversion, neuroticism and positive and negative mood in emotional information processing. Personality and Individual Differences, 44(2), 392-402.[DOI:10.1016/j.paid.2007.08.018] [DOI:10.1016/j.paid.2007.08.018]
21. Rotello, C. M. (2017). Signal detection theories of recognition memory. In J. T. Wixted (ed.), Learning and Memory: A Comprehensive Reference (pp. 201–225). Amsterdam: Elsevier. [DOI:10.1016/B978-0-12-809324-5.21044-4] [DOI:10.1016/B978-0-12-809324-5.21044-4]
22. Rusting, C. L. (1999). Interactive effects of personality and mood on emotion-congruent memory and judgment. Journal of Personality and Social Psychology, 77(5), 1073-86.[DOI:10.1037/0022-3514.77.5.1073] [DOI:10.1037/0022-3514.77.5.1073]
23. Rusting, C. L., & Larsen, R. J. (1998). Personality and cognitive processing of affective information. Personality and Social Psychology Bulletin, 24(2), 200-13.[DOI:10.1177/0146167298242008] [DOI:10.1177/0146167298242008]
24. Sheldon, S., & Donahue, J. (2017). More than a feeling: Emotional cues impact the access and experience of autobiographical memories. Memory and Cognition, 45(5):731-44. [DOI:10.3758/s13421-017-0691-6] [PMID] [DOI:10.3758/s13421-017-0691-6]
25. Watson, D., Wiese, D., Vaidya, J., & Tellegen, A. (1999). The two general activation systems of affect: Structural findings, evolutionary considerations, and psychobiological evidence. Journal of Personality and Social Psychology, 76(5), 820-38.[DOI:10.1037/0022-3514.76.5.820] [DOI:10.1037/0022-3514.76.5.820]
26. Westermann, S., & Lincoln, T. M. (2010). Using signal detection theory to test the impact of negative emotion on sub-clinical paranoia. Journal of Behavior Therapy and Experimental Psychiatry, 41(2), 96-101. [DOI:10.1016/j.jbtep.2009.10.007] [PMID] [DOI:10.1016/j.jbtep.2009.10.007]
27. Yan, C., & Dillard, J. P. (2010). Emotion inductions cause changes in activation levels of the behavioural inhibition and approach systems. Personality and Individual Differences, 48(5), 676-80. [DOI:10.1016/j.paid.2009.12.002] [DOI:10.1016/j.paid.2009.12.002]
28. Zeleneski, J. M., & Larsen, R. (2002). Predicting the future: How affect- related personality traits influence likelihood judgments of future events. Personality and Social Psychology Bulletin, 28(7), 1000- 110. [DOI:10.1177/014616720202800712] [DOI:10.1177/014616720202800712]

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Designed & Developed by : Yektaweb