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Short Research Note

Effect of Emotions in a Lexical Decision Task

A Diffusion Model Analysis

Published Online:March 21, 2017https://doi.org/10.1024/1421-0185/a000193

Abstract

Abstract. This study measured the effect of emotional states on lexical decision task performance and investigated which underlying components (physiological, attentional orienting, executive, lexical, and/or strategic) are affected. We did this by assessing participants’ performance on a lexical decision task, which they completed before and after an emotional state induction task. The sequence effect, usually produced when participants repeat a task, was significantly smaller in participants who had received one of the three emotion inductions (happiness, sadness, embarrassment) than in control group participants (neutral induction). Using the diffusion model (Ratcliff, 1978) to resolve the data into meaningful parameters that correspond to specific psychological components, we found that emotion induction only modulated the parameter reflecting the physiological and/or attentional orienting components, whereas the executive, lexical, and strategic components were not altered. These results suggest that emotional states have an impact on the low-level mechanisms underlying mental chronometric tasks.

References

  • Arnold, N. R., Bröder, A., & Bayen, U. J. (2015). Empirical validation of the diffusion model for recognition memory and a comparison of parameter-estimation methods. Psychological Research, 79, 882–898. doi 10.1007/s00426-014-0608-y First citation in articleCrossref, Google Scholar

  • Barton, K. (2016). MuMIn: Multi-model inference. R package version 1.15.6. Available at http://CRAN.R-project.org:package=MuMIn First citation in articleGoogle Scholar

  • Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67. doi 10.18637/jss.v067.i01 First citation in articleCrossref, Google Scholar

  • Challis, B. H., & Krane, R. V. (1988). Mood induction and the priming of semantic memory in a lexical decision task: Asymmetric effects of elation and depression. Bulletin of the Psychonomic Society, 26, 309–312. doi 10.3758/BF03337666 First citation in articleCrossref, Google Scholar

  • Clore, G. L., & Huntsinger, J. R. (2007). How emotions inform judgment and regulate thought. Trends in Cognitive Sciences, 11, 393–399. doi 10.1016/j.tics.2007.08.005 First citation in articleCrossref, Google Scholar

  • Corson, Y. (2002). Effects of positive, negative, and neutral moods on associative and semantic priming. Current Psychology of Cognition, 21(1), 33–62. First citation in articleGoogle Scholar

  • Corson, Y. (2006). Émotions et propagation de l’activation en mémoire sémantique [Emotions and propagation of activation in semantic memory]. Canadian Journal of Experimental Psychology, 60, 127–147. doi 10.1037/cjep2006013 First citation in articleCrossref, Google Scholar

  • Crozier, W. R., & de Jong, P. J (2013). The psychological significance of the blush. Cambridge, UK: Cambridge University Press. First citation in articleGoogle Scholar

  • Dutilh, G., Krypotos, A. M., & Wagenmakers, E. J. (2011). Task-related versus stimulus-specific practice: A diffusion model account. Experimental Psychology, 58, 434–442. doi 10.1027/1618-3169/a000111 First citation in articleLink, Google Scholar

  • Ferraro, F. R., King, B., Ronning, B., Pekarski, K., & Risan, J. (2003). Effects of induced emotional state on lexical processing in younger and older adults. The Journal of Psychology, 137, 262–272. doi 10.1080/00223980309600613 First citation in articleCrossref, Google Scholar

  • Gasper, K. (2004). Do you see what I see? Affect and visual information processing. Cognition and Emotion, 18, 405–421. doi 10.1080/02699930341000068 First citation in articleCrossref, Google Scholar

  • Gilet, A. L., & Jallais, C. (2011). Valence, arousal and word associations. Cognition and Emotion, 25, 740–746. doi 10.1080/ 02699931.2010.500480 First citation in articleCrossref, Google Scholar

  • Grasman, R. P. P. P., Wagenmakers, E. J., & van der Maas, H. L. J. (2009). On the mean and variance of response times under the diffusion model with an application to parameter estimation. Journal of Mathematical Psychology, 53, 55–68. doi 10.1016/j. jmp.2009.01.006 First citation in articleCrossref, Google Scholar

  • Gunther, D. C., Ferraro, F. R., & Kirchner, T. (1996). Influence of emotional state on irrelevant thoughts. Psychonomic Bulletin and Review, 3, 491–494. doi 10.3758/BF03214552 First citation in articleCrossref, Google Scholar

  • Hänze, M., & Hesse, F. W. (1993). Emotional influences on semantic priming. Cognition and Emotion, 7, 195–205. doi 10.1080/ 02699939308409184 First citation in articleCrossref, Google Scholar

  • Hänze, M., & Meyer, H. A. (1998). Mood influences on automatic and controlled semantic priming. The American Journal of Psychology, 111, 265–278. doi 10.2307/1423489 First citation in articleCrossref, Google Scholar

  • Harris, C. R. (2001). Cardiovascular responses of embarrassment and effects of emotional suppression in a social setting. Journal of Personality and Social Psychology, 81, 886–897. doi 10.1037/0022-3514.81.5.886 First citation in articleCrossref, Google Scholar

  • Hesse, F. W., & Spies, K. (1996). Effects of negative mood on performance: Reduced capacity or changed processing strategy? European Journal of Social Psychology, 26, 163–168. doi 10.1002/(SICI)1099-0992(199601)26:1<163::AID-EJSP749>3.0.CO;2-W First citation in articleCrossref, Google Scholar

  • Hill, A. B., & Kemp-Wheeler, S. M. (1989). The influence of anxiety on lexical and affective decision time for emotional words. Personality and Individual Differences, 10, 1143–1149. doi 10.1016/0191-8869(89)90077-9 First citation in articleCrossref, Google Scholar

  • Johnson, P. C. D. (2014). Extension of Nakagawa & Schielzeth’s R2GLMM to random slopes models. Methods in Ecology and Evolution, 5, 944–946. doi 10.1111/2041-210X.12225 First citation in articleCrossref, Google Scholar

  • Judd, C. M., Westfall, J., & Kenny, D. A. (2012). Treating stimuli as a random factor in social psychology: A new end comprehensive solution to a pervasive but largely ignored problem. Journal of Personality and Social Psychology, 103, 54–69. doi 10.1037/a0028347 First citation in articleCrossref, Google Scholar

  • Krauth-Gruber, S., & Ric, F. (2000). Affect and stereotypic thinking: A test of the mood-and-general-knowledge model. Personality and Social Psychology Bulletin, 26, 1587–1597. doi 10.1177/ 01461672002612012 First citation in articleCrossref, Google Scholar

  • Kreibig, S. D. (2010). Autonomic nervous system activity in emotion: A review. Biological Psychology, 84, 394–421. doi 10.1016/j.biopsycho.2010.03.010 First citation in articleCrossref, Google Scholar

  • Lemelin, S., Baruch, P., Vincent, A., Everett, J., & Vincent, P. (1997). Distractibility and processing resource deficit in major depression: Evidence for two deficient attentional processing models. Journal of Nervous and Mental Disease, 185, 542–548. doi 10.1097/00005053-199709000-00002 First citation in articleCrossref, Google Scholar

  • Miller, R. S. (2014). Embarrassment and social anxiety disorder: Fraternal twins or distant cousins? In S. G. HofmannP. M. DiBartoloEds., Social anxiety: Clinical, developmental, and social perspectives (pp. 117–140). San Diego, CA: Elsevier. First citation in articleGoogle Scholar

  • Moriya, H., Takeichi, J., & Nittono, H. (2013). Effects of positive moods with different arousal levels on the lexical decision process: An event-related potential study. Japanese Journal of Physiological Psychology and Psychophysiology, 31, 193–201. doi 10.5674/jjppp.1306br First citation in articleCrossref, Google Scholar

  • Nakagawa, S., & Schielzeth, H. (2013). A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology and Evolution, 4, 133–142. doi 10.1111/j.2041-210x.2012.00261.x First citation in articleCrossref, Google Scholar

  • New, B., & Pallier, C. (2005). Manuel de Lexique 3 [Vocabulary textbook 3]. Unpublished document, Laboratoire de psychologie expérimentale, Université René-Descartes, Boulogne-Billancourt, France. First citation in articleGoogle Scholar

  • Niedenthal, P. M., Halberstadt, J. B., & Setterlund, M. B. (1997). Being happy and seeing “happy”: Emotional state mediates visual word recognition. Cognition and Emotion, 11, 403–432. doi 10.1080/026999397379863 First citation in articleCrossref, Google Scholar

  • Niedenthal, P. M., Krauth-Gruber, S., & Ric, F. (2006). Self-conscious emotions. In P. M. NiedenthalS. Krauth-GruberF. RicEds., Psychology of emotion: Interpersonal, experiential, and cognitive approaches (pp. 77–113). New York: Psychology Press. First citation in articleGoogle Scholar

  • Pacheco-Unguetti, A. P., & Parmentier, F. B. R. (2014). Sadness increases distraction by auditory deviant stimuli. Emotion, 14, 203–213. doi 10.1037/a0034289 First citation in articleCrossref, Google Scholar

  • Petersen, S. E., & Posner, M. I. (2012). The attention system of the human brain: 20 years after. Annual Review of Neuroscience, 35, 73–89. doi 10.1146/annurev-neuro-062111-150525 First citation in articleCrossref, Google Scholar

  • Piercey, C. D., & Rioux, N. (2008). Inconsistent mood congruent effects in lexical decision experiments. Journal of Articles in Support of the Null Hypothesis, 5, 19–26. First citation in articleGoogle Scholar

  • Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review, 85, 59–108. doi 10.1037/0033-295X.85.2.59 First citation in articleCrossref, Google Scholar

  • Ratcliff, R., Love, J., Thompson, C. A., & Opfer, J. E. (2012). Children are not like older adults: A diffusion model analysis of developmental changes in speeded responses. Child Development, 83, 367–381. doi 10.1111/j.1467-8624.2011.01683.x First citation in articleCrossref, Google Scholar

  • Ratcliff, R., Thapar, A., & McKoon, G. (2007). Application of the diffusion model to two-choice tasks for adults 75–90 years old. Psychology and Aging, 22, 56–66. doi 10.1037/0882-7974.22.1.56 First citation in articleCrossref, Google Scholar

  • Ratcliff, R., Thapar, A., & McKoon, G. (2010). Individual differences, aging, and IQ in two-choice tasks. Cognitive Psychology, 60, 127–157. doi 10.1016/j.cogpsych.2009.09.001 First citation in articleCrossref, Google Scholar

  • Royston, P. (2007). Profile likelihood for estimation and confidence intervals. The Stata Journal, 7, 376–387. First citation in articleCrossref, Google Scholar

  • Russell, J. A., & Barrett, L. F. (1999). Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. Journal of Personality and Social Psychology, 76, 805–819. doi 10.1037/0022-3514.76.5.805 First citation in articleCrossref, Google Scholar

  • Schneider, W., Eschman, A., & Zuccolotto, A. (2012). E-Prime user’s guide. Pittsburgh, PA: Psychology Software Tools. First citation in articleGoogle Scholar

  • Schwarz, N. (2012). Feelings-as-information theory. In P. M. Van LangeA. W. KruglanskiE. HigginsEds., Handbook of theories of social psychology (Vol. 1, pp. 289–308). Thousand Oaks, CA: Sage. First citation in articleGoogle Scholar

  • Sereno, S. C., Scott, G. G., Yao, B., Thaden, E. J., & O’Donnell, P. J. (2015). Emotion word processing: Does mood make a difference? Frontiers in Psychology, 6, 1–13. doi 10.3389/fpsyg.2015.01191 First citation in articleCrossref, Google Scholar

  • Siegle, G. J., Granholm, E., Ingram, R. E., & Matt, G. E. (2001). Pupillary and reaction time measures of sustained processing of negative information in depression. Biological Psychiatry, 49, 624–636. doi 10.1016/S0006-3223(00)01024-6 First citation in articleCrossref, Google Scholar

  • Storbeck, J., & Clore, G. L. (2008). The affective regulation of cognitive priming. Emotion, 8, 208–215. doi 10.1037/1528-3542.8.2.208 First citation in articleCrossref, Google Scholar

  • van Ravenzwaaij, D., & Oberauer, K. (2009). How to use the diffusion model: Parameter recovery of three methods: EZ, fast-dm, and DMAT. Journal of Mathematical Psychology, 53, 463–473. doi 10.1016/j.jmp.2009.09.004 First citation in articleCrossref, Google Scholar

  • Voss, A., Nagler, M., & Lerche, V. (2013). Diffusion models in experimental psychology: A practical introduction. Experimental Psychology, 60, 385–402. doi 10.1027/1618-3169/a000218 First citation in articleLink, Google Scholar

  • White, C. N., Ratcliff, R., Vasey, M. W., & McKoon, G. (2010a). Anxiety enhances threat processing without competition among multiple inputs: A diffusion model analysis. Emotion, 10, 662–677. doi 10.1037/a0019474 First citation in articleCrossref, Google Scholar

  • White, C. N., Ratcliff, R., Vasey, M. W., & McKoon, G. (2010b). Using diffusion models to understand clinical disorders. Journal of Mathematical Psychology, 54, 39–52. doi 10.1016/j.jmp. 2010.01.004 First citation in articleCrossref, Google Scholar

  • Yik, M., Russell, J. A., & Steiger, J. H. (2011). A 12-point circumplex structure of core affect. Emotion, 11, 705–731. doi 10.1037/ a0023980 First citation in articleCrossref, Google Scholar

  • Zeguers, M. H. T., Snellings, P., Tijms, J., Weeda, W. D., Tamboer, P., Bexkens, A., & Huizenga, H. M. (2011). Specifying theories of developmental dyslexia: A diffusion model analysis of word recognition. Developmental Science, 14, 1340–1354. doi 10.1111/j.1467-7687. 2011.01091.x First citation in articleCrossref, Google Scholar