Skip to main content
Log in

The next trial will be conflicting! Effects of explicit congruency pre-cues on cognitive control

  • Original Article
  • Published:
Psychological Research Aims and scope Submit manuscript

Abstract

The dual mechanisms of control account proposed a role for proactive and reactive mechanisms in minimizing or resolving interference in conflict tasks. Proactive mechanisms are activated in advance of stimulus onset and lead to preparatory biasing of attention in a goal-directed fashion. Reactive mechanisms are triggered post-stimulus onset. Using an explicit, trial-by-trial pre-cueing procedure in a 4-choice color-word Stroop task, we investigated effects of congruency pre-cues on cognitive control. Under conditions of stimulus uncertainty (i.e., each word was associated with multiple, equally probable responses), pre-cue benefits were observed on incongruent trials when cues were 100 % valid but not when they were 75 % valid. These benefits were selectively found at the longest cue-to-stimulus interval (2,000 ms), consistent with a preparation-dependent proactive control mechanism. By contrast, when a reactive strategy of switching attention to the irrelevant dimension to predict the single correlated response was viable, pre-cue benefits were observed on incongruent trials for all cue-to-stimulus intervals including the shortest that afforded only 500 ms to prepare. The findings (a) suggest a restricted role for the preparation-dependent biasing of attention via proactive control in response to explicit, trial-by-trial pre-cues while (b) highlighting strategies that lead to pre-cue benefits but which appear to reflect primarily reactive use of the information afforded by the pre-cues. We conclude that pre-cues, though available in advance of stimulus onset, may stimulate proactive or reactive minimization of interference.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

Notes

  1. Although a cross-experimental analysis was not reported by Logan and Zbrodoff (1979), consistent with the view of Blais et al. (2012), the magnitude of the list-wide proportion congruence effect appeared to be similar in Experiment 1 wherein participants were not explicitly informed about the proportion congruency of the list and Experiments 2 and 3 wherein they were.

  2. Logan and Zbrodoff’s second experiment intermixed informative pre-cue trials and neutral (non-informative) trials within a block. A single informative pre-cue (the X or the O) was valid per block. Statistically, there was no difference between experiments except that the pre-cue benefit was bigger in Experiment 2. This may, however, be due to the fact that proportion congruence also differed between experiments.

  3. The majority of studies examining interference in Stroop tasks utilize a 4-choice design in which trials are 50 % congruent (e.g., Dishon-Berkovits & Algom, 2000). In this design, each congruent stimulus (of which there are four possible word–color pairings) is presented disproportionately more frequently than each incongruent stimulus (of which there are nine possible word–color pairings). As such, attention is attracted to the predictive word and failures of selective attention are frequent (e.g., Dishon-Berkovits & Algom, 2000; Melara & Algom, 2003), possibly the optimal conditions under which to examine the control of attention via pre-cues.

  4. In this and subsequent experiments, we aimed to collect data from 24 participants. Sample sizes varied based on participant sign-ups/show-ups by end of the data collection period (e.g., semester).

  5. To determine whether the partial counterbalancing of sub-block (CSI) order affected the results, we entered order as a factor in the ANOVA and it did not interact with any effect, including the pre-cue × trial type interaction and the pre-cue × trial type × CSI interaction.

  6. Experimenters’ response times vary trial-by-trial. Experimenters’ response times (pacing) could influence the effects of interest. To examine whether this occurred in Experiment 1, we submitted the experimenters’ response coding times (excluding trials faster than 100 ms or slower than 2,000 ms) to the same analyses as were conducted for participants’ RTs. The only significant effect was a main effect of trial type, F(1, 17) = 29.27, p < 0.001, and it was in the opposite direction of a Stroop effect, with coding times being 26 ms slower for congruent than incongruent trials (possibly because congruent trials are responded to more quickly by the participants). Importantly, all conditions were equally likely to follow congruent and incongruent trials. Consequently, if the slight difference in pacing across the two trial types did affect performance on the following trial, it would have been equally likely to affect performance in any condition. Importantly, there was no hint of the pre-cue × trial type × CSI interaction that was found for the participants’ RT data, F < 1.

  7. The analysis of the experimenters’ response coding times revealed a similar pattern as in Experiment 1. The main effect of trial type indicated 9 ms faster coding for incongruent than congruent trials. There was also a main effect of CSI in Experiment 2 due to the experimenter taking ~30 ms longer to code responses in the short than the two longer CSI conditions, F(2, 46) = 3.27, p = 0.047. Moreover, the pre-cue × trial type interaction found for participants’ RT data was not observed in the experimenters’ coding time data, F < 1.

  8. In Experiment 3, there were no significant effects in the analysis of experimenters’ response coding times.

  9. In Experiment 4, we confirmed that pacing of experimenters’ response coding did not affect the effects of interest.

  10. Consistent with this view, Raz et al. (2003) demonstrated that eye blurring is not an effective strategy for minimizing interference on incongruent trials in a non-pre-cueing Stroop paradigm. They also showed that, while gaze aversion is effective, it produces benefits on incongruent trials that are much larger (e.g., 109 ms speeding of RTs) than the largest pre-cue benefits observed on incongruent trials in the experiments in which proactive control was presumably operating.

References

  • Algom, D., Dekel, A., & Pansky, A. (1996). The perception of number from the separability of the stimulus: the Stroop effect revisited. Memory & Cognition, 24, 57–572.

    Article  Google Scholar 

  • Altmann, E. M., & Gray, W. D. (2008). An integrated model of cognitive control in task switching. Psychological Review, 115, 602–639.

    Article  Google Scholar 

  • Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012). Top-down versus bottom-up attentional control: A failed theoretical dichotomy. Trends in Cognitive Sciences, 16, 437–443.

    Article  Google Scholar 

  • Blais, C., & Bunge, S. (2010). Behavioral and neural evidence for item-specific performance monitoring. Journal of Cognitive Neuroscience, 22, 2758–2767.

    Article  PubMed  Google Scholar 

  • Blais, C., Harris, M. B., Guerrero, J. V., & Bunge, S. A. (2012). Rethinking the role of automaticity in cognitive control. Quarterly Journal of Experimental Psychology, 65, 268–276.

    Article  Google Scholar 

  • Blais, C., Robidoux, S., Risko, E. F., & Besner, D. (2007). Item-specific adaptation and the conflict monitoring hypothesis: a computational model. Psychological Review, 114, 1076–1086.

    Article  PubMed  Google Scholar 

  • Botvinick, M. M., Braver, T. S., Barch, D. M., Carer, C. S., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological Review, 108(3), 624–652.

    Article  PubMed  Google Scholar 

  • Braver, T. S., Gray, J. R., & Burgess, G. C. (2007). Explaining the many varieties of working memory variation: dual mechanisms of cognitive control. In A. R. A. Conway, C. Jarrold, M. J. Kane, A. Miyake, & J. N. Towse (Eds.), Variation in working memory (pp. 76–106). Oxford: Oxford University Press.

    Google Scholar 

  • Bugg, J. M. (2012). Dissociating levels of cognitive control: the case of Stroop interference. Current Directions in Psychological Science, 21, 302–309.

    Article  Google Scholar 

  • Bugg, J. M. (2014). Conflict-triggered top-down control: default mode, last resort, or no such thing? Journal of Experimental Psychology. Learning, Memory, and Cognition, 40, 567–587.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bugg, J. M., & Chanani, S. (2011). List-wide control is not entirely elusive: evidence from picture-word Stroop. Psychonomic Bulletin & Review, 18, 930–936.

    Article  Google Scholar 

  • Bugg, J. M., & Crump, M. J. C. (2012). In support of a distinction between voluntary and stimulus-driven control: a review of the literature on proportion congruent effects. Frontiers in Psychology: Cognition, 3, 1–16. doi:10.3389/fpsyg.2012.00367.

    Article  Google Scholar 

  • Bugg, J. M., Diede, N. T., Cohen-Shikora, E. R., & Selmeczy, D. Expectations and experience: Dissociable bases for cognitive control? Journal of Experimental Psychology: Learning, Memory, and Cognition. (in press).

  • Bugg, J. M., & Hutchison, K. A. (2013). Converging evidence for control of color-word Stroop interference at the item level. Journal of Experimental Psychology: Human Perception and Performance, 39, 433–449.

    PubMed  Google Scholar 

  • Correa, A., Rao, A., & Nobre, A. (2008). Anticipating conflict facilitates controlled stimulus-response selection. Journal of Cognitive Neuroscience, 21, 1461–1472.

    Article  Google Scholar 

  • Bugg, J. M., Jacoby, L. L., & Chanani, S. (2011a). Why it is too early to lose control in accounts of item-specific proportion congruency effects. Journal of Experimental Psychology: Human Perception and Performance, 37, 844–859.

    PubMed  Google Scholar 

  • Bugg, J. M., Jacoby, L. L., & Toth, J. (2008). Multiple levels of control in the Stroop task. Memory & Cognition, 36, 1484–1494.

    Article  Google Scholar 

  • Bugg, J. M., McDaniel, M. A., Scullin, M. K., & Braver, T. S. (2011b). Revealing list-level control in the Stroop task by uncovering its benefits and a cost. Journal of Experimental Psychology: Human Perception and Performance, 37, 1595–1606.

    PubMed  PubMed Central  Google Scholar 

  • Chao, H. (2011). Active inhibition of a distractor word: the distractor precue benefit in the Stroop color-naming task. Journal of Experimental Psychology: Human Perception and Performance, 37, 799–812.

    PubMed  Google Scholar 

  • Courtney, S. M. (2004). Attention and cognitive control as emergent properties of information representation in working memory. Cognitive, Affective, & Behavioral Neuroscience, 4, 501–515.

    Article  Google Scholar 

  • DePisapia, N., & Braver, T. S. (2006). A model of dual control mechanisms through anterior cingulate and prefrontal cortex interactions. Neurocomputing, 69, 1322–1326.

    Article  Google Scholar 

  • Dishon-Berkovits, M., & Algom, D. (2000). The Stroop effect: it is not the robust phenomenon that you have thought it to be. Memory & Cognition, 28, 1437–1449.

    Article  Google Scholar 

  • Dyer, F. N. (1974). Stroop interference with long preexposures of the word: comparison of pure and mixed preexposure sequences. Bulletin of the Psychonomic Society, 3, 8–10.

    Article  Google Scholar 

  • Ghinescu, R., Schachtman, T. R., Stadler, M. A., Fabiani, M., & Gratton, G. (2010). Strategic behavior without awareness? Effects of implicit learning in the Eriksen flanker paradigm. Memory & Cognition, 38, 197–205.

    Article  Google Scholar 

  • Goldfarb, L., & Henik, A. (2013). The effect of a preceding cue on the conflict solving mechanism. Experimental Psychology, 60, 347–353.

    Article  PubMed  Google Scholar 

  • Gratton, G., Coles, M. G. H., & Donchin, E. (1992). Optimizing use of information: strategic control of activation of responses. Journal of Experimental Psychology: General, 121, 480–506.

    Article  Google Scholar 

  • Hommel, B. (1994). Spontaneous decay of response-code activation. Psychological Research, 56, 261–268.

    Article  PubMed  Google Scholar 

  • Hommel, B. (2007). Consciousness and control: not identical twins. Journal of Consciousness Studies, 12, 155–176.

    Google Scholar 

  • Hommel, B. (2013). Dancing in the dark: no role for consciousness in action control. Frontiers in Psychology: Cognition, 4, 1–3. doi:10.3389/fpsyg.2013.00380.

    Article  Google Scholar 

  • Hutchison, K. A. (2011). The interactive effects of list-based control, item-based control, and working memory capacity on Stroop performance. Journal of Experimental Psychology. Learning, Memory, and Cognition, 37, 851–860.

    Article  PubMed  Google Scholar 

  • Jacoby, L. L., McElree, B., & Trainham, T. N. (1999). Automatic influences as accessibility bias in memory and Stroop-like tasks: toward a formal model. In D. Gopher & A. Koriat (Eds.), Attention and performance XVII: Cognitive regulation of performance. Interaction of theory and application (pp. 461–486). Cambridge: MIT Press.

    Google Scholar 

  • Kahneman, D. (1973). Attention and effort, Englewood Cliffs, NJ: Prentice-Hall.

  • Kane, M. J., & Engle, R. W. (2003). Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to Stroop interference. Journal of Experimental Psychology: General, 132, 47–70.

    Article  Google Scholar 

  • Kiesel, A., Steinhauser, M., Wendt, M., Falkenstein, M., Jost, K., Philipp, A. M., & Koch, I. (2010). Control and interference in task switching—A review. Psychological Bulletin, 136, 849–874.

    Article  PubMed  Google Scholar 

  • Lamers, M. J. M., & Roelofs, A. (2011). Attentional control adjustments in Eriksen and Stroop task performance can be independent of response conflict. The Quarterly Journal of Experimental Psychology, 64, 1056–1081.

    Article  PubMed  Google Scholar 

  • Lindsay, D. S., & Jacoby, L. L. (1994). Stroop process dissociations: the relationship between facilitation and interference. Journal of Experimental Psychology: Human Perception and Performance, 20, 219–234.

    PubMed  Google Scholar 

  • Logan, G. D. (1980). Attention and automaticity in Stroop and priming tasks: theory and data. Cognitive Psychology, 12, 523–553.

    Article  PubMed  Google Scholar 

  • Logan, G. D., & Zbrodoff, N. J. (1979). When it helps to be misled: facilitative effects of increasing the frequency of conflicting stimuli in a Stroop-like task. Memory & Cognition, 7, 166–174.

    Article  Google Scholar 

  • Logan, G. D., & Zbrodoff, N. J. (1982). Constraints on strategy construction in a speeded discrimination task. Journal of Experimental Psychology: Human Perception and Performance, 8, 502–520.

    PubMed  Google Scholar 

  • Logan, G. D., Zbrodoff, N. J., & Williamson, J. (1984). Strategies in the color-word Stroop task. Bulletin of the Psychonomic Society, 22, 135–138.

    Article  Google Scholar 

  • Lowe, D., & Mitterer, J. O. (1982). Selective and divided attention in a Stroop task. Canadian Journal of Psychology, 36, 684–700.

    Article  PubMed  Google Scholar 

  • MacDonald, A. W., Cohen, J. D., Stenger, V. A., & Carter, C. S. (2000). Dissociating the role of dorsolateral prefrontal cortex and anterior cingulate in cognitive control. Science, 288, 1835–1838.

    Article  PubMed  Google Scholar 

  • MacLeod, C. (1991). Half a century of research on the Stroop effect: an integrative review. Psychological Bulletin, 109, 163–203.

    Article  PubMed  Google Scholar 

  • Meiran, N. (1996). Reconfiguration of processing mode prior to task performance. Journal of Experimental Psychology. Learning, Memory, and Cognition, 22, 1423–1442.

    Article  Google Scholar 

  • Melara, R. D., & Algom, D. (2003). Driven by information: a tectonic theory of Stroop effects. Psychological Review, 110, 422–471.

    Article  PubMed  Google Scholar 

  • Musen, G., & Squire, L. R. (1993). Implicit learning of color-word associations using a Stroop paradigm. Journal of Experimental Psychology. Learning, Memory, and Cognition, 34, 514–523.

    Google Scholar 

  • Parris, B. A., Bate, S., Brown, S. D., & Hodgson, T. L. (2012). Facilitating goal-oriented behavior in the Stroop task: when executive control is influenced by automatic processing. PLoS ONE, 7, e46994. doi:10.1371/journal.pone.0046994.

    Article  PubMed  PubMed Central  Google Scholar 

  • Posner, M. I., & Snyder, C. R. (1975). Facilitation and inhibition in the processing of signals. In P. M. A. Rabbitt & S. Dornic (Eds.), Attention and performance V. New York: Academic Press.

    Google Scholar 

  • Posner, M. I., Snyder, C. R. R., & Davidson, B. J. (1980). Attention and the detection of signals. Journal of Experimental Psychology: General, 109, 160–174.

    Article  Google Scholar 

  • Raz, A., Landzberg, K. S., Schweizer, H. R., Zephrani, Z. R., Shapiro, T., Fan, J., & Posner, M. I. (2003). Posthypnotic suggestion and the modulation of Stroop interference under cycloplegia. Consciousness and Cognition, 12, 332–346.

    Article  PubMed  Google Scholar 

  • Sabri, M., Melara, R. D., & Algom, D. (2001). A confluence of contexts: asymmetric versus global failures of selective attention to Stroop dimensions. Journal of Experimental Psychology: Human Perception and Performance, 27, 515–537.

    PubMed  Google Scholar 

  • Schmidt, J. R. (2013). Temporal learning and list-level proportion congruency: conflict adaptation or learning when to respond? PLoS ONE, 8, e0082320.

    Article  Google Scholar 

  • Schmidt, J. R. (2014). List-level transfer effects in temporal learning: further complications for the list-level proportion congruent effect. Journal of Cognitive Psychology, 26, 373–385.

    Article  Google Scholar 

  • Schmidt, J. R., & Besner, D. (2008). The Stroop effect: why proportion congruent has nothing to do with congruency and everything to do with contingency. Journal of Experimental Psychology. Learning, Memory, and Cognition, 34, 514–523.

    Article  PubMed  Google Scholar 

  • Shenhav, A., Botvinick, M. M., & Cohen, J. D. (2013). The expected value of control: an intergrative theory of anterior cingulate cortex function. Neuron, 79, 218–240.

    Article  Google Scholar 

  • Stokes, M., Thompson, R., Nobre, A. C., & Duncan, J. (2009). Shape-specific preparatory activity mediates attention to targets in human visual cortex. Proceedings of the National Academy of Sciences, 106, 19569–19574.

    Article  Google Scholar 

  • Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18, 643–661.

    Article  Google Scholar 

  • Toth, J. P., Levine, B., Stuss, D. T., Oh, A., Winocur, G., & Meiran, N. (1995). Dissociation of processes underlying spatial SR compatibility: evidence for the independent influence of what and where. Consciousness and cognition, 4(4), 483-501.

    Article  PubMed  Google Scholar 

  • Tzelgov, J., Henik, A., & Berger, J. (1992). Controlling Stroop effects by manipulating expectations for color words. Memory & Cognition, 20, 727–735.

    Article  Google Scholar 

  • Wendt, M., & Luna-Rodriguez, A. (2009). Conflict-frequency affects flanker-interference. Experimental Psychology, 56, 206–217.

    Article  PubMed  Google Scholar 

  • West, R., & Baylis, G. C. (1998). Effect of increased response dominance and contextual disintegration on the Stroop interference effect in older adults. Psychology and Aging, 13, 206–217.

    Article  PubMed  Google Scholar 

  • Wühr, P., & Kunde, W. (2008). Precueing spatial S–R correspondence: is there regulation of expected response conflict? Journal of Experimental Psychology: Human Perception and Performance, 34, 872–883.

    PubMed  Google Scholar 

Download references

Acknowledgments

Julie M. Bugg, Department of Psychology, Washington University in St. Louis; Alicia Smallwood, Department of Psychology, DePauw University. We thank Nathaniel Diede and Keith Hutchison for thoughtful comments on earlier versions of the manuscript, and Chelsea Birchmeier, Zunaira Komal, Henna Mishra, Simran Sahni, Bridgette Shamleffer, and Vivian Tao for assistance with data collection.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Julie M. Bugg.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bugg, J.M., Smallwood, A. The next trial will be conflicting! Effects of explicit congruency pre-cues on cognitive control. Psychological Research 80, 16–33 (2016). https://doi.org/10.1007/s00426-014-0638-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00426-014-0638-5

Keywords

Navigation