The dark and bright side of the numbers: how emotions influence mental number line accuracy and bias

ABSTRACT

The traditional view of cognition as detached from emotions is recently being questioned. This study aimed to investigate the influence of emotional valence on the accuracy and bias in the representation of numbers on the mental number line (MNL). The study included 164 participants who were randomly assigned into two groups with induced positive and negative emotional valence using matched arousal film clips. Participants performed a computerised number-to-position (CNP) task to estimate the position of numbers on a horizontal line. The results showed that participants in the positive valence group exhibited a rightward bias, while those in the negative valence group showed an opposite pattern. The analysis of mean absolute error revealed that the negative valence group had higher error rates compared to the positive valence group. Furthermore, the MNL estimation pattern analysis indicated that a two-cycle cyclic power model (CPM) best explained the data for both groups. These findings suggest that emotional valence influences the spatial representation of numbers on the MNL and affects accuracy in numerical estimations. Our findings are finally discussed in terms of body-specificity and the Brain’s Asymmetric Frequency Tuning (BAFT) theories. The study provides new insights into the interplay between emotions and numerical cognition.

KEYWORDS:

• Emotional valence
• mental number line
• accuracy
• bias
• numerical cognition

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data associated with this research is openly available on the Open Science Framework (OSF) platform. You can access and download the dataset by following this link: https://osf.io/z8qyf/

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.