The cognitive load of poverty: From attention mechanisms to the role of income inequality - Archive ouverte HAL
Communication Dans Un Congrès Année : 2019

The cognitive load of poverty: From attention mechanisms to the role of income inequality

Résumé

Poverty is a phenomenon that tends to persist and reproduce itself (i.e., the ”vicious circle of poverty”). Whereas social sciences have focused on the structural and political dynamics subtending the vicious circle of poverty, behavioral sciences have rather focused on individuals’ behaviors that further perpetuate poverty. In that vein, Mani, Mullainathan, Shafir and Zhao (2013) have proposed that low-income individuals would behave in inappropriate ways because poverty imposes a cognitive load (via intrusive thoughts and worries), which impedes cognitive functioning and subsequent behavior. In series of studies, they found that financial concerns decreased low-income individuals performance on fluid intelligence and cognitive control tasks. The present research (3 studies) first aims at identifying the attention mechanisms involved the cognitive load of poverty (studies 1-2). Intrusive thoughts and worries may indeed highjack attention resources from any other ongoing activity, thereby leading to performance decrements. Study 1 (online; N = 103 all comers adults) tested whether low-income individuals’ attention is exhausted by concurrent financial concerns. Participants were randomly assigned to one of the two conditions involving an experimental induction of either low or high financial concerns. While thinking about how to solve these problems, participants performed a visual search game (20 Where’s Waldo puzzles) of various difficulty levels. Participants’ household income was finally collected. As predicted, in the high-financial concerns condition, the lower the participants’ income the longer it took them to perform the difficult visual task puzzles, thereby suggesting a shortfall of selective attention resources. Study 2 (lab experiment; N = 179 undergraduate students) further investigated the attention processes potentially impacted by the cognitive load of poverty by using the Attentional Network Test allowing to assess three attentional components: alerting, orienting and executive components. Given that suppressing interfering thoughts solicits executive control, we hypothesized that low-income students specifically experience executive attention impairments when high-financial concerns are experimentally induced. However and contrary to Study 1 (and to most studies in the literature), participants in Study 2 were undergraduate students whose current financial situation was hard to assess given the diversity of social situations among students. As a consequence our main IV (income) was not usable. Based on the literature, maternal level of education was then chosen as a proxy for poverty. Results thus only provided a partial support for our prediction by showing that not income but maternal education positively predicted students’ executive attention performance in the high-financial concerns condition. As it happens, studying the psychological impact of poverty requires going beyond the mere indicator of income. Study 3 (online; N = 776 US adults) therefore aimed at investigating how income inequalities may further fuel the cognitive load of poverty. Based on the same design as Study 1, results suggested that for participants living in areas heavily marked by income inequality (as measured by the GINI coefficient), the lower their income and the lower their performance on the visual search task. Limits of and perspectives on the cognitive load of poverty hypothesis are further discussed.

Domaines

Psychologie
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Dates et versions

hal-03000809 , version 1 (12-11-2020)

Identifiants

  • HAL Id : hal-03000809 , version 1

Citer

Alice Normand, Nicolas Sommet. The cognitive load of poverty: From attention mechanisms to the role of income inequality. 21st European Social Cognition Network (ESCON 2019), ESCON; LabPsy EA 4139; Université de Bordeaux, Sep 2019, Bordeaux, France. ⟨hal-03000809⟩
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