# Gestalt approach and cognitive fallacies: mitigating negative recency and positive recency

**Authors:** Yeonho Choi, Kyungil Kim, Lisa K. Son

PMC · DOI: 10.1007/s10339-025-01309-1 · Cognitive Processing · 2025-10-14

## TL;DR

This study shows that Gestalt-based techniques can help reduce cognitive biases like negative or positive recency in decision-making.

## Contribution

The study introduces Gestalt-based manipulations to mitigate cognitive fallacies in probabilistic decision-making.

## Key findings

- Grouping-based tasks increased NR/PR when outcomes and predictions were in the same trial.
- Closure-based tasks reduced NR/PR when non-dominant events ended sequences.
- Gestalt manipulations effectively mitigate cognitive fallacies in decision-making.

## Abstract

This study examined whether Gestalt-based manipulations can reduce individual’s tendency to follow negative recency (NR) or positive recency (PR) by inducing their perception that events are not related. Two types of manipulation – grouping and closure – were introduced through a series of Coin Prediction Tasks. In the Grouping-based Coin Prediction Task (G-CPT), participants were more likely to exhibit NR or PR tendencies when past outcomes and predictions were presented within the same trial compared to when they were presented in separate trials. In the Closure-based Coin Prediction Task (C-CPT), previous results ending with a streak of a dominant event elicited more NR or PR responses, whereas previous outcomes ending with a non-dominant event reduced these fallacies. Overall, this study provides evidence that Gestalt-based manipulations can mitigate cognitive fallacies. Our findings emphasize the importance of Gestalt framing in probabilistic decision-making contexts. Limitations and directions for future research are also discussed.

## Full-text entities

- **Diseases:** cognitive fallacies (MESH:D003072)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12860880/full.md

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Source: https://tomesphere.com/paper/PMC12860880