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On the automaticity of relational stimulus processing

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Abstract

While it is widely accepted that the semantic analysis of a stimulus can take place in an automatic fashion, it is typically assumed that non-automatic processes are required to process the relation of one stimulus relative to other stimuli. Nevertheless, there is evidence to support the idea that such relational stimulus processing can also take place under automaticity conditions. We examined this hypothesis further in four sequential priming experiments in which participants were asked to categorize target objects as larger or smaller than a reference object (i.e., a football or a car). Crucially, some primes were objects that were larger than the small reference object but smaller than the large reference object (e.g., a bike). Results showed that the impact of these primes upon target responding was dependent on the size of the reference object. When the size of the reference object was small, these primes facilitated responses towards large targets relative to small targets. Vice versa, when the size of the reference object was large, the same set of primes facilitated responses towards small targets relative to large targets. This result was obtained when the size of the reference object was manipulated block-wise (Experiments 1 and 3), trial-wise (Experiments 2 and 4), and even when the primes were presented near subjective recognition thresholds (Experiment 4). Taken together, our findings provide strong evidence for the hypothesis that complex relational stimulus processing can take place under automaticity conditions. A possible underlying mechanism is proposed.

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Notes

  1. One could argue that even the processing of a single stimulus is often relational, for instance, when determining the semantic category of that stimulus (i.e., relating the stimulus to a semantic category). In this regard, (subliminal) priming effects have repeatedly been observed on the basis of category membership (see Quinn & Kinoshita, 2008, for a discussion). We do not consider stimulus processing in these cases to be truly relational, as the observed priming effects are attributed to the processing of certain properties of one stimulus alone (i.e., the task-relevant category membership of the prime stimulus). In contrast, the definition of relational processing in this paper is restricted to the online comparison of the task-relevant features of two distinct stimuli.

  2. The luminance of pictures showing small objects was more pronounced than the luminance of pictures showing large objects, t(22) = 4.50, p < .001, or medium-sized objects, t(22) = 3.72, p < .005. Given that stimuli from different stimulus categories were presented equally often in response-compatible and response-incompatible conditions, none of our critical effects can be attributed to variations in luminance.

  3. None of the critical effects in this experiment nor in the subsequently reported experiments were dependent on the exclusion or inclusion of participants.

  4. An analysis of the error data revealed effects that mirrored the effects found in the reaction time data. It must be noted, however, that the overall error rates were too small to allow for parametric testing (i.e., <2.7 %), especially when taking into account the complexity of the resign design. We therefore decided not to report the error data in full detail.

  5. As pointed out by a reviewer, associative relatedness and/or (size-unrelated) semantic relatedness between the primes and the targets might have contributed to the priming effect observed on the standard trials. A similar interpretation can be ruled out for the critical trials, because (a) the stimulus materials used on congruent and incongruent trials were identical and (b) relational prime information was contingent upon the size of the reference objects only.

  6. As explained in the method section, the reference object was changed after four blocks and the order in which the two reference objects were used was counterbalanced across participants. We therefore examined whether target responding was affected by this counterbalancing factor. On critical trials there was evidence for a main effect of order, F(1, 62) = 4.61, p = .036, η 2 ρ  = 0.07. Overall, participants were faster to respond when the small reference object was used first compared to when the large reference object was used first (477 vs. 504 ms). Reassuringly, the RPE was not moderated by the order factor, F < 1, nor were any other effects on critical trials, all Fs < 1, all ps > .81. We therefore excluded the order factor from the analyses of Experiment 1. It may be noted, however, that there was some evidence that the counterbalancing factor did impact the prime × target interaction observed on the standard trials, F(1, 62) = 3.52, p = .065, η 2 ρ  = 0.05. The priming effect was larger when the small reference object was used first compared to when the large reference object was used first (20 vs. 11 ms). None of the other effects observed on the standard trials were qualified by the counterbalancing factor, all Fs < 1.40, all ps > .241.

  7. Experiment 2 was a replication of an earlier study, the results of which mimic those reported here. Specifically, we obtained a significant RPE of 16 ms, F(1, 56) = 12.69, p = .001, η 2 ρ  = 0.18, whereas the reference object × target interaction on the standard trials was non-significant, F(1, 56) = 1.73, p = .194, η 2 ρ  = 0.03. Crucially, we did not include neutral trials in this study. Therefore, the RPE was compared to the reference object × target interaction on standard trials to check for a possible inflation of the RPE. The three-way interaction between the size of the reference objects, the size of the targets, and the trial type failed to reach significance, F(1, 56) = 1.70, p = .197, η 2 ρ  = 0.03.

  8. It may also be noted that, in Experiment 1, the standard trials revealed a reliable main effect of the size of the reference objects whereas the same effect was unreliable in Experiment 2. Additional analyses provided no evidence for the hypothesis that the magnitude of this effect was reliably different in both experiments, F(1, 111) = 2.02, p = .16.

  9. As in Experiment 1, the reference object was changed after four blocks. The order in which the two reference objects were used as well as the color in which the majority of the stimuli were presented were counterbalanced across participants. None of the critical effects were moderated by the color of the stimuli on neither the critical nor the standard trials, all Fs < 1.43, all ps > .236. The color factor was thus excluded from further analyses. However, the order in which the reference objects were used did affect critical effects. The influence of the order of the reference object on the RPE just missed conventional significance levels, F(1, 66) = 3.96, p < .051, η 2 ρ  = 0.06. When participants first categorized targets relative to the small reference object, the mean RPE was 33 ms. Conversely, when participants were first presented with the large reference object, the mean RPE was 23 ms. Moreover, the order factor qualified the critical three-way interaction between color congruency, size of the reference object, and size of the targets on critical trials, F(1, 66) = 8.91, p = .004, η 2 ρ  = 0.12. The order factor was thus kept for the analysis of the critical trials.

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Correspondence to Niclas Heider.

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Preparation of this paper was supported by Methusalem Grant BOF09/01M00209 of Ghent University awarded to Jan De Houwer. The research was conducted while Adriaan Spruyt was a Postdoctoral Fellow of the Flemish Research Foundation (FWO—Vlaanderen).

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Heider, N., Spruyt, A. & De Houwer, J. On the automaticity of relational stimulus processing. Psychological Research 81, 99–118 (2017). https://doi.org/10.1007/s00426-015-0735-0

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