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. 2024 Feb 27:12:e16887.
doi: 10.7717/peerj.16887. eCollection 2024.

The interplay of motor adaptation and groupitizing in numerosity perception: Insights from visual motion adaptation and proprioceptive motor adaptation

Affiliations

The interplay of motor adaptation and groupitizing in numerosity perception: Insights from visual motion adaptation and proprioceptive motor adaptation

Huanyu Yang et al. PeerJ. .

Abstract

Groupitizing is a well-established strategy in numerosity perception that enhances speed and sensory precision. Building on the ATOM theory, Anobile proposed the sensorimotor numerosity system, which posits a strong link between number and action. Previous studies using motor adaptation technology have shown that high-frequency motor adaptation leads to underestimation of numerosity perception, while low-frequency adaptation leads to overestimation. However, the impact of motor adaptation on groupitizing, and whether visual motion adaptation produces similar effects, remain unclear. In this study, we investigate the persistence of the advantage of groupitizing after motor adaptation and explore the effects of visual motion adaptation. Surprisingly, our findings reveal that proprioceptive motor adaptation weakens the advantage of groupitizing, indicating a robust effect of motor adaptation even when groupitizing is employed. Moreover, we observe a bidirectional relationship, as groupitizing also weakens the adaptation effect. These results highlight the complex interplay between motor adaptation and groupitizing in numerosity perception. Furthermore, our study provides evidence that visual motion adaptation also has an adaptation effect, but does not fully replicate the effects of proprioceptive motor adaptation on groupitizing. In conclusion, our research underscores the importance of groupitizing as a valuable strategy in numerosity perception, and sheds light on the influence of motion adaptation on this strategy.

Keywords: ATOM; Groupitizing; Motor adaptation; Numerosity perception; Sensorimotor numerosity system.

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Conflict of interest statement

The authors declare there are no competing interests.

Figures

Figure 1
Figure 1. Stimuli and experimental procedure employed in this study.
(A) The distribution grid used to arrange the stimuli for the grouping condition within the experimental paradigm is displayed; (B) Presents an example of the stimuli utilized in this experiment (Stimuli are not depicted to scale); (C) Illustrates the experimental procedure in detail, providing a comprehensive overview of the steps taken during the study.
Figure 2
Figure 2. Results.
(A) Adaptation index under grouping and no-grouping conditions; (B) The perceived numerosity, averaged across trials and subjects, varies as a function of physical numerosity in the three adaptation conditions. The analysis includes best-fitting linear regressions (R2 >0.98 in all conditions). The regression slopes are as follows: no adaptation (dotted line) = 0.99; high-frequency adaptation (square) = 0.90; low-frequency adaptation (triangle) = 1.03 (p < 0.001 in both conditions).
Figure 3
Figure 3. (A) CVs for different adaption level by group condition. (B) RTs for different adaption level by group condition.
“G” for grouping condition, and “NG” for no-grouping condition. ***p < 0.001; **p < 0.01; *p < 0.05.
Figure 4
Figure 4. Experimental procedure in detail.
A comprehensive overview of the steps taken during the study.
Figure 5
Figure 5. (A) Adaptation index under grouping and no-grouping conditions. (B) The perceived numerosity, averaged across trials and subjects, varies as a function of physical numerosity in the three adaptation conditions.
The analysis includes best-fitting linear regressions (R > 0.99 in all conditions). The regression slopes are as follows: no adaptation (dotted line) = 0.99; adaptation to fast visual motion (square) = 0.85; adaptation to slow visual motion (triangle) = 1.04 (p < 0.001 in both conditions).
Figure 6
Figure 6. Interaction between numerosity and group conditions.
“G” for grouping condition, and “NG” for no-grouping condition.

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