Forced choices reveal a trade-off between cognitive effort and physical pain
- Department of Psychology, McGill University, Canada
- Institute of Cognitive Science, Carleton University, Canada
Figures
Figure 1
Example of a trial for the decision-making task.
Participants made a choice between a level of the N-back task and a level of pain. If participants chose the effortful option, they performed the N-back task at the given level. If the painful …
Figure 2
Averaged heatmap of choice behaviour across participants as a function of pain stimulus level (horizontal axis) and N-back level (vertical axis) on offer (see Supplementary file 1C for model estimates).
Lighter colours indicate a higher percentage of accepting the painful stimulus.
Figure 3
Parabolic scaling of effort levels and averaged heatmap of choices predicted from the computational model.
(a) Higher offered effort levels led to a parabolic increase in the aversive SV of effort. This value was compared against the pain level on offer before being fit to participants’ choices. (b) …
Figure 4
Estimated beta weights (presented in log-units) for the choice RT model.
Positive values indicate an increase in predicted RTs (i.e. slowing down) and negative values indicate a decrease. RTs significantly increased at higher levels of the chosen good (i.e. at higher …
Figure 5
Predicted probabilities of accepting the pain option at each N-back and pain level moderated by need for cognition and pain catastrophizing.
(a) Those higher in need for cognition were more likely to choose the effortful option, especially when pain and effort offers were both in the higher, more aversive range (e.g. 4-back vs. 80/100 …
Tables
Table 1
Goodness-of-fit Estimates from Computational Models on Cognitive Effort Levels.
| Linear | Exponential | Parabolic | Hyperbolic | |
|---|---|---|---|---|
| AIC | 1223.32 | 1245.43 | 1170.66 | 1293.65 |
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Note. Separate models were fit for each mathematical function on participants’ data; AIC = Akaike Information Criterion (Akaike, 1974).
Author response table 1
| Variable | β | 95% CI | df | t | p |
| (Choose Pain Intercept) | 8.13 | [8.01, 8.24] | 40.15 | 135.03 | <.001 *** |
| (Choose Effort Intercept) | 7.92 | [7.82, 8.02] | 31.99 | 164.95 | <.001 *** |
| Trial Number | −0.01 | [−0.01, −0.01] | 31.23 | 7.19 | <.001 *** |
| Choose Pain × Pain predicted | −0.06 | [−0.18, 0.06] | 35.83 | 1.09 | .28 |
| Choose Effort × Pain predicted | 0.05 | [−0.06, 0.17] | 22.89 | 0.89 | .38 |
| Choose Pain × SVeffort | 0.02 | [−0.02, 0.07] | 28.17 | 0.99 | .33 |
| Choose Effort × SVeffort | 0.14 | [0.10, 0.18] | 25.86 | 6.58 | <.001*** |
| Choose Pain × Pain level | 0.13 | [0.08, 0.17] | 25.78 | 5.74 | <.001 *** |
| Choose Effort × Pain level | −0.06 | [−0.08, −0.03] | 30.63 | 4.91 | <.001 *** |
Author response table 2
| Variable | β | 95% CI | df | t | p |
| (Choose Pain Intercept) | 8.06 | [7.94, 8.18] | 33.13 | 134.18 | <.001 *** |
| (Choose Effort Intercept) | 7.93 | [7.84, 8.03] | 32.75 | 161.52 | <.001 *** |
| Trial Number | −0.01 | [−0.01, −0.01] | 31.13 | 7.18 | <.001 *** |
| Choose Pain × Previous choice | 0.10 | [0.03, 0.18] | 1363.83 | 2.91 | .004 ** |
| Choose Effort × Previous choice | −0.02 | [−0.07, 0.03] | 1343.70 | 0.71 | .48 |
| Choose Pain × SVeffort | 0.01 | [−0.02, 0.05] | 21.62 | 0.69 | .50 |
| Choose Effort × SVeffort | 0.14 | [0.10, 0.19] | 24.90 | 6.77 | <.001 *** |
| Choose Pain × Pain level | 0.14 | [0.09, 0.18] | 20.74 | 6.24 | <.001 *** |
| Choose Effort × Pain level | −0.06 | [−0.08, −0.04] | 28.99 | 5.45 | <.001 *** |
Additional files
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Supplementary file 1
This file contains the supplementary tables and figures referenced in the main text.
(A) contains the average performance on the levels of the N-back task. (B) contains the average pain ratings for the thermal stimuli. (C) contains model estimates from the multilevel logistic regression on choices. (D) contains model estimates from the multilevel logistic regression on choices after controlling for trial number. (E) contains model estimates from the multilevel logistic regression on choices after controlling for the choice made on the previous trial. (F) contains model estimates from the multilevel linear regression on choice response times (RTs). (G) contains the heatmaps of the average predicted RTs from the multilevel linear model. (H) contains scatter plots of predicted vs observed RTs for each combination of effort and pain levels. (I) contains the model estimates from multilevel linear regression on choice RTs for the subset of participants who displayed no significant bias towards either choice option. (J) contains the model estimates from the multilevel linear regression on choice RTs after controlling for the difficulty of the choices. (K) contains model estimates from the multilevel linear regression on choice RTs while including a subject-level predictor of a person’s overall probability of choosing the pain option. (L) contains model estimates from the multilevel logistic regression examining the influence of need for cognition. (M) contains model estimates from the multilevel logistic regression examining the influence of pain catastrophizing. (N) contains model estimates from multilevel logistic regressions examining the influence of the other measures of individual differences. (O) contains correlations between the measures of individual differences.
- https://cdn.elifesciences.org/articles/59410/elife-59410-supp1-v2.docx
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Transparent reporting form
- https://cdn.elifesciences.org/articles/59410/elife-59410-transrepform-v2.docx
