Skip to main content
Log in

The cost of serially chaining two cognitive operations

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

Abstract

As Turing (1936, Proceedings of the London Mathematical Society) noted, a fundamental process in human cognition is to effect chained sequential operations in which the second operation requires an input from the preceding one. Although a great deal is known about the costs associated with ‘independent’ (unrelated) operations, e.g., from the classic psychological refractory period paradigm, far less is known about those operations to which Turing referred. We present the results of two behavioural experiments, where participants were required to perform two speeded sequential tasks that were either chained or independent. Both experiments reveal the reaction time cost of chaining, over and above classical dual-task serial costs. Moreover, the chaining operation significantly altered the distribution of reaction times relative to the Independent condition in terms of an increased mean and variance. These results are discussed in terms of the cognitive architecture underlying the serial chaining of cognitive operations.

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.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. Response grouping is the tendency for participants to wait for the occurrence of Task 2 before initiating their response to Task 1. Procedure to discourage grouping was adapted from Van Selst and Jolicoeur (1994).

  2. For RT analysis, only trials with correct Task 1 and Task 2 responses and correct response order were entered into the analysis. An outlier screening procedure (Van Selst & Jolicoeur, 1994) was used to exclude outlier RTs in each cell for each participant. Less than 3.6% of trials were labelled as outliers in the RT analysis using this approach. Post hoc analyses in each ANOVA of each experiment were conducted using the Bonferroni correction for multiple comparisons.

  3. Most mental operations are Poissonian, increasing the variance linearly with RT; there are, however a few important exceptions (cf. Wagenmakers & Brown, 2007). For example, Sigman and Dehaene (2005) showed that there are manipulations that affect mean RT without affecting the variance, e.g., changing the notation of a number from Arab digits to words in a number comparison task. It was not clear a priori whether the chaining task we inserted between T1 and T2 (which contributes to increased RT) also provided a significant contribution to the variance.

References

  • Arnell, K. M., & Duncan, J. (2002). Separate and shared sources of dual-task cost in stimulus identification and response selection. Cognitive Psychology, 44, 105–147.

    Article  PubMed  Google Scholar 

  • Botvinick, M. M. (2008). Hierarchical models of behavior and prefrontal function. Trends in Cognitive Sciences, 12(5), 201–208.

    Article  PubMed  Google Scholar 

  • Brainard, D. H. (1997). The psychophysics toolbox. Spatial Vision, 10, 433–436.

    Article  PubMed  Google Scholar 

  • Brisson, B., & Jolicoeur, P. (2007). Cross-modal multitasking processing deficits prior to the central bottleneck revealed by event-related potentials. Neuropsychologia, 45(13), 3038–3053.

    Article  PubMed  Google Scholar 

  • Chun, M. M., & Potter, M. C. (1995). A two-stage model for multiple target detection in rapid serial visual presentation. Journal of Experimental Psychology: Human Perception and Performance, 21, 109–127.

    Article  PubMed  Google Scholar 

  • De Jong, R. (1993). Multiple bottlenecks in overlapping task performance. Journal of Experimental Psychology: Human Perception and Performance, 19, 965–980.

    Article  PubMed  Google Scholar 

  • Fischer, R., Miller, J., & Schubert, T. (2007). Evidence for parallel semantic memory retrieval in dual tasks. Memory & Cognition, 35(7), 1685–1699.

    Article  Google Scholar 

  • Fischer, R., & Schubert, T. (2008). Valence processing bypassing the response selection bottleneck? Evidence from the psychological refractory period paradigm. Experimental Psychology, 55(3), 203–211.

    Article  PubMed  Google Scholar 

  • Gold, J. I., & Shadlen, M. N. (2001). Neural computations that underlie decisions about sensory stimuli. Trends in Cognitive Sciences, 5, 10–16.

    Article  PubMed  Google Scholar 

  • Gold, J. I., & Shadlen, M. N. (2002). Banburismus and the brain: Decoding the relationship between sensory stimuli, decisions, and reward. Neuron, 36, 299–308.

    Article  PubMed  Google Scholar 

  • Kawahara, J. (2003). The effect of observer’s set on the processing of temporally distributed items. Japanese Psychological Research, 45, 109–114.

    Article  Google Scholar 

  • Logan, G. D., & Gordon, R. D. (2001). Executive control of visual attention in dual-task situations. Psychological Review, 108, 393–434.

    Article  PubMed  Google Scholar 

  • Maquestiaux, F., Laguë-Beauvais, M., Ruthruff, E., & Bherer, L. (2008). Bypassing the central bottleneck after single-task practice in the psychological refractory period paradigm: Evidence for task automatization and greedy resource recruitment. Memory & Cognition, 36, 1262–1282.

    Article  Google Scholar 

  • Meyer, D. E., & Kieras, D. E. (1997a). A computational theory of executive cognitive processes and multiple task performance: Part 1. Basic mechanisms. Psychological Review, 104, 3–65.

    Google Scholar 

  • Meyer, D. E., & Kieras, D. E. (1997b). A computational theory of executive cognitive processes and multiple task performance: Part 2 Accounts of psychological refractory-period phenomena. Psychological Review, 104, 749–791.

    Article  Google Scholar 

  • Meyer, D. E., & Kieras, D. E. (1999). Precis to a practical unified theory of cognition and action: Some lessons from computational modeling of human multiple-task performance. In D. Gopher & A. Koriat (Eds.), Attention and performance XVII (pp. 15–88). Cambridge: MIT Press.

    Google Scholar 

  • Miller, J., Ulrich, R., & Rolke, B. (2009). On the optimality of serial and parallel processing in the psychological refractory period paradigm: Effects of the distribution of stimulus onset asynchronies. Cognitive Psychology, 58, 273–310.

    Article  PubMed  Google Scholar 

  • Oriet, C., Tombu, M., & Jolicoeur, P. (2005). Symbolic distance affects two processing loci in the number comparison task. Memory & Cognition, 33(5), 913–926.

    Article  Google Scholar 

  • Pashler, H. (1984). Processing stages in overlapping tasks: Evidence for a central bottleneck. Journal of Experimental Psychology: Human Perception and Performance, 10, 358–377.

    Article  PubMed  Google Scholar 

  • Pashler, H. (1994). Dual-task interference in simple tasks: Data and theory. Psychological Bulletin, 116, 220–244.

    Article  PubMed  Google Scholar 

  • Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437–442.

    Article  PubMed  Google Scholar 

  • Ratcliff, R. (1988). Continuous versus discrete information processing: Modeling the accumulation of partial information. Psychological Review, 95, 238–255.

    Article  PubMed  Google Scholar 

  • Raymond, J. E., Shapiro, K. L., & Arnell, K. M. (1992). Temporary suppression of visual processing in an RSVP task: An attentional blink? Journal of Experimental Psychology: Human Perception and Performance, 18, 849–860.

    Article  PubMed  Google Scholar 

  • Sackur, J., & Dehaene, S. (2009). The cognitive architecture for chaining of two mental operations. Cognition, 111(2), 187–211.

    Article  PubMed  Google Scholar 

  • Schumacher, E. H., & Schwarb, H. (2009). Parallel response selection disrupts sequence learning under dual-task conditions. Journal of Experimental Psychology: General, 138(2), 270–290.

    Article  Google Scholar 

  • Shapiro, K. L., Raymond, J. E., & Arnell, K. M. (1994). Attention to visual pattern information produces the attentional blink in rapid serial visual presentation. Journal of Experimental Psychology: Human Perception and Performance, 20, 357–371.

    Article  PubMed  Google Scholar 

  • Sigman, M., & Dehaene, S. (2005). Parsing a cognitive task: A characterization of the mind’s bottleneck. PLoS Biology, 3(2), e37.

    Article  PubMed  Google Scholar 

  • Sigman, M., & Dehaene, S. (2006). Dynamics of the central bottleneck: Dual-task and task uncertainty. PLoS Biology, 4(7), e220. doi:210.1371/journal.pbio.0040220.

  • Tombu, M., & Jolicoeur, P. (2003). A central capacity sharing model of dual-task performance. Journal of Experimental Psychology: Human Perception and Performance, 29(1), 3–18.

    Article  PubMed  Google Scholar 

  • Tubau, E., Hommel, B., & López-Moliner, J. (2007). Modes of executive control in sequence learning: From stimulus-based to plan-based control. Journal of Experimental Psychology: General, 136, 43–63.

    Article  Google Scholar 

  • Turing, A. M. (1936). On computable numbers, with an application to the Entscheidungs problem. Proceedings of the London Mathematical Society, 42.

  • Usher, M., & McClelland, J. L. (2001). The time course of perceptual choice: The leaky, competing accumulator model. Psychological Review, 108, 550–592.

    Article  PubMed  Google Scholar 

  • Van Selst, M., & Jolicoeur, P. (1994). A solution to the effect of sample size on outlier elimination. The Quarterly Journal of Experimental Psychology, 47(3), 631–650.

    Article  Google Scholar 

  • Wagenmakers, E.-J., & Brown, S. (2007). On the linear relation between the mean and the standard deviation of a response time distribution. Psychological Review, 114, 830–841.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This study was funded by a grant from the Human Frontier Science Program to S. Dehaene, K. Shapiro, P. Roelfsema, M. Sigman and W. Vanduffel.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kimron Shapiro.

Appendix 1

Appendix 1

Spatial location switching effects: Experiment 1

With regard to Task 1 RT, a significant main effect of Condition [F(1, 12) = 4.774, p < 0.05] was found comparing the IND-stick to the IND-switch condition. RT1 of the IND-stick condition was 12 ms (SE = 5 ms) faster than RT1 of IND-switch condition. This effect was also mirrored on the accuracy of Task 1 with significantly higher accuracy of Task 1 [F(1, 12) = 9.452, p < 0.011; difference = 1.6%, SE = 0.5%] in the IND-stick condition relative to the IND-switch condition. However, this effect was not significant with regard to the standard deviation of RT1 (p = 0.972).

Turning to Task 2 RT, there was no significant main effect of Condition (p = 0.191). However, switching the spatial location of attention had an effect on Task 2 accuracy [F(1, 12) = 9.452, p < 0.011]. Accuracy of Task 2 was significantly higher (difference = 1.6%, SE = 0.5%, p < 0.011) for the IND-stick relative to the IND-switch condition. However, this effect of Condition difference was not significant with regard to the standard deviation of RT2 (p = 0.313).

Spatial location switching effects: Experiment 2

For RT1, there was a significant two-way interaction of Condition and SOA [F(1, 18) = 10.585, p < 0.005] when comparing the IND-stick to IND-switch conditions. Further post hoc comparisons revealed that this two-way interaction arose when RT1 in the 100 ms SOA IND-stick condition was significantly faster than RT1 in the IND-switch condition (difference = −44 ms, SE = 11 ms, p < 0.002); however, there was no significant differences at 200 ms SOA (p = 0.199). The main effect of Condition was significant [F(1, 18) = 11.409, p < 0.004]; RT1 of IND-stick condition was significantly faster than RT1 of IND-switch condition (difference = −27 ms, SE = 8 ms, p < 0.004). The main effect of SOA was also significant [F(1, 18) = 21.517, p < 0.001] with RT1 in 200 ms SOA condition significantly faster than RT1 in 100 ms SOA condition (difference = −46 ms, SE = 10 ms, p < 0.001). Turning to Task 1 accuracy, there was no significant two-way interaction. The only significant main effect was SOA [F(1, 18) = 18.237, p < 0.001] indicating Task 1 accuracy in 200 ms SOA condition was significantly better than that in 100 ms SOA condition (difference = 10%, SE = 2.4%, p < 0.001). As before, there was no evidence of a speed–accuracy trade-off.

Looking at the STD of RT1, there was no significant two-way interaction. The main effect of the IND-stick versus IND-switch comparison was not significant (p = 0.754). The main effect of SOA was significant [F(1, 18) = 17.026, p < 0.002]. The STD of RT1 in 200 ms SOA condition was significantly smaller than that in 100 ms SOA condition (difference = −26 ms, SE = 6 ms, p < 0.002).

Turning to RT2, there was no significant two-way interaction. The main effect of the IND-stick versus IND-switch comparison was significant [F(1, 18) = 9.881, p < 0.007]. RT2 in IND-stick condition was significantly faster than RT2 in the IND-switch condition (difference = −47 ms, SE = 15 ms, p < 0.007). The main effect of SOA was also significant [F(1, 18) = 23.689, p < 0.001). RT2 in the 200 ms SOA condition was significantly faster than RT2 in the 100 ms SOA condition (difference = −96 ms, SE = 20 ms, p < 0.001). For Task 2 accuracy, there was no significant two-way interaction. The only significant main effect was SOA [F(1, 18) = 15.829, p < 0.002]. Task 2 accuracy at 200 ms SOA condition was significantly higher than Task 2 accuracy in the 100 ms SOA condition (difference = 6%, SE = 1.5%, p < 0.002). As before, accuracy results do not provide any support for a speed–accuracy trade-off.

With regard to the STD of RT2, there was no significant two-way interaction (p = 0.270). The main effect of the IND-stick versus IND-switch comparison was not significant (p = 0.093). The main effect of SOA was not significant (p = 0.276).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fan, Z., Singh, K., Muthukumaraswamy, S. et al. The cost of serially chaining two cognitive operations. Psychological Research 76, 566–578 (2012). https://doi.org/10.1007/s00426-011-0375-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00426-011-0375-y

Keywords

Navigation