Harmonic Analysis of Social Cognition

TL;DR

This paper proposes a novel approach to social cognition by applying harmonic analysis from signal processing, interpreting social stimuli as a combination of frequencies representing different social features.

Contribution

It introduces a new framework linking social cognition concepts with signal processing tools, providing a foundation for future interdisciplinary research.

Findings

Social stimuli modeled as weighted harmonic sums

Filters emphasize different frequency ranges based on social factors

Established social cognition results are interpretable through signal processing

Abstract

In this paper, we argue that some fundamental concepts and tools of signal processing may be effectively applied to represent and interpret social cognition processes. From this viewpoint, individuals or, more generally, social stimuli are thought of as a weighted sum of harmonics with different frequencies: Low frequencies represent general categories such as gender, ethnic group, nationality, etc., whereas high frequencies account for personal characteristics. Individuals are then seen by observers as the output of a filter that emphasizes a certain range of high or low frequencies. The selection of the filter depends on the social distance between the observing individual or group and the person being observed as well as on motivation, cognitive resources and cultural background. Enhancing low- or high-frequency harmonics is not on equal footing, the latter requiring supplementary energy. This mirrors a well-known property of signal processing filters. More generally, in the light of this correspondence, we show that several established results of social cognition admit a natural interpretation and integration in the signal processing language. While the potential of this connection between an area of social psychology and one of information engineering appears considerable (compression, information retrieval, filtering, feedback, feedforward, sampling, aliasing, etc.), in this paper we shall limit ourselves to laying down what we consider the pillars of this bridge on which future research may be founded.