Elsevier

Lingua

Volume 257, July 2021, 103083
Lingua

Emotional intelligence, working memory, and emotional vocabulary in L1 and L2: Interactions and dissociations

https://doi.org/10.1016/j.lingua.2021.103083Get rights and content

Highlights

  • Trait emotional intelligence predicts the number of emotion words retrieved.

  • Negligible effect of working memory capacity on the retrieval of emotion words.

  • Valence effects are less language-dependent and more psychologically-dependent.

  • Common psychologically salient words in L1 and L2; predominance of positive words.

  • Negative link between working memory capacity and trait emotional intelligence.

Abstract

Cognition and emotion are interrelated concepts. However, very little is known about the relation between working memory capacity (WMC) and emotional intelligence (EI) and their effect on the retrieval and generation of emotional vocabulary. This study aimed to explore correlation patterns between WMC and four factors of trait EI (well-being, self-control, emotionality, sociability). It also sought to examine whether WMC and trait EI are significant determinants of the number and perceived pleasantness of emotion words freely retrieved and produced in a non-emotionally charged context and the extent to which language of retrieval had an effect on this association. The results showed negative correlations between WMC and two factors of trait EI (well-being and emotionality). Trait EI was the sole predictor variable of the perceived pleasantness of the words retrieved, whereas trait EI, language of retrieval, and gender explained a statistically significant amount of the variance in the number of emotion words generated. Qualitative analysis of the emotional vocabulary revealed a slight predominance of positive words and common patterns in the most highly activated words in both first and second languages.

Introduction

Emotion and cognition are two sides of the same coin, influencing each other in multiple ways (Pessoa, 2008). As Swain (2013: 195) pointed out, “Emotions … have a significant impact on what has happened in the past, what is happening now, and what will happen in the future. In fact, emotions are an integral part of cognition”. However, very little is known about the interplay between two widely studied constructs, emotional intelligence (EI) – a concept that connects emotion and cognition (Salovey and Pizarro, 2003) – and working memory (WM) – traditionally seen as a cognitive mechanism par excellence. Moreover, EI and WM are multifaceted constructs, and one of the most challenging questions is whether and how different facets of EI and WM are linked to each other and, by extension, to emotional language processing and production. The current study aimed to expand this line of research by exploring correlation patterns between four factors of trait EI (well-being, self-control, emotionality, sociability) and WM capacity (WMC). In addition, this study sought to examine whether trait EI and WMC are significant determinants of the number and perceived pleasantness of emotion concepts freely retrieved and produced in the absence of an emotionally charged context.

Productive emotional vocabulary was the focus of the study for several reasons. The ability to use emotion concepts constitutes an essential part of human communication and is an indispensable ingredient of sociocultural and pragmatic competence (Dewaele, 2008, Dewaele, 2013, Dewaele, 2018, Ekman, 1999, Pavlenko, 2013). As Ekman (1999: 317) pointed out, “Without being able to name feelings, it is harder to distinguish them, think about them, plan regarding them, etc.”. Therefore, the ability to use a precise and rich vocabulary is an important step towards recognition, acceptance and regulation of emotions. It also promotes the development of effective interpersonal skills, conflict resolution strategies, and negotiation skills (Fisher and Shapiro, 2005). This does not only apply to first language (L1) but also to second language (L2) contexts, as we live in a globalised world where interaction, negotiation, and decision making in an L2 is an unavoidable reality. However, our knowledge regarding productive emotional vocabulary derives mainly from cross-linguistic studies (e.g. Panayiotou, 2006, Pavlenko, 2008b, Semin et al., 2002), and psychological or personality factors underpinning its retrieval and use have received much less attention (Meara, 2002). It is believed that high EI individuals are better equipped to use a wide range of emotion concepts (Barrett, 2017). Some scholars further argued that emotional granularity1 and WMC go hand in hand (Lee et al., 2017). Therefore, a plausible hypothesis is that EI and WMC would have an additive effect on the ability to retrieve and use emotion words.

There is also an extensive body of literature that investigates how emotions – and emotionality – foster memory capacity (Christianson, 1989, Christianson et al., 1991, Kensinger, 2009, LeDoux, 2003, Zimmerman and Kelley, 2010). Specifically, this work documents that emotional cues and contexts enhance certain aspects of WMC, as well as the subjective vividness and confidence related to retrieval processes. Indeed, emotion prompts and emotionally charged contexts may trigger and induce faster emotional or memory responses. However, being able to retrieve and produce emotion concepts in a neutral (non-cued) condition might require extra cognitive effort. This is particularly true when retrieval processes take place in an L2 because of the cognitive load imposed by L2 processing and the lack of automaticity when L2 users try to access and activate L2 vocabulary that has not been fully consolidated.

Empirical evidence further suggests that L2 vocabulary learning and use require complex underlying mechanisms that depend on individual differences in WMC (Ellis, 1996, Martin and Ellis, 2012; see Gathercole, 2006, for a review) and trait EI (Skourdi and Rahimi, 2014; but see Alavi and Rahimi, 2011). However, it is unclear whether this is a general effect or whether it also applies to specific types of words. Pavlenko (2008a) argued that emotion words should be treated as a unique word class in the mental lexicon because they are represented, encoded, and retrieved differently compared to concrete and abstract terms. Therefore, in order to elucidate the full spectrum of the why and how of emotional expression in general and of the retrieval and production of emotional vocabulary in particular, some minimal consideration of the role of individual differences in both cognitive and affective functions is of paramount importance.

Moreover, the current study qualitatively compared the emotional vocabulary retrieved and produced by English L1, Spanish L1, and Spanish L2 users. Previous research mainly focused on the emotional vocabulary of Spanish L1 (Alba-Juez and Pérez-González, 2019, Bisquerra and Filella, 2018), English L1 (Schrauf and Sanchez, 2004), and bilingual users (Ferré et al., 2010, Ferré et al., 2013). The aim of including Spanish L2 users was to provide data that would contribute to the study of emotion and bilingualism and, eventually, allow for a more comprehensive account of the role of language on memory retrieval processes for emotion words. This analysis focused on the most highly activated words and their valence. The positivity bias theory, also known as the Pollyanna hypothesis (Boucher and Osgood, 1969), posits a higher prevalence of positive words in human communication. It suggests that people's lexicon includes more positive terms, which are used more frequently, appear in the early stages of language development, are learnt faster, and are recalled easier. Therefore, it was hypothesised that participants would mainly retrieve positive words regardless of language of retrieval.

Section snippets

Emotional intelligence and working memory: Conceptualisation

EI refers to an individual's ability to identify, comprehend, label, and manage their own and other people's emotions and use this knowledge to achieve a better quality of life (Mayer and Salovey, 1993, Mayer and Salovey, 1997, Petrides and Furnham, 2003, Salovey and Mayer, 1990). It has been suggested that the ability to regulate emotional experiences, especially negative ones, is an important characteristic of those high in EI (Barrett et al., 2001). On the other hand, specific cognitive or

Cognitive abilities, emotional intelligence, and processing of emotional stimuli

Interest has grown recently in how emotional aptitudes interact with cognitive mechanisms, such as WM, and other emotional states or stimuli (see Fernández-Berrocal and Extremera, 2016, and Gutiérrez-Cobo et al., 2016, for reviews). Matthews et al. (2007) argued that moderate associations should exist between EI and cognitive abilities, which seems to be the case when performance-based – rather than self-reported – measures of EI are employed (Gutiérrez-Cobo et al., 2016). Gutiérrez-Cobo et

Memory and emotional vocabulary

Some interesting findings on the interplay between emotion and memory come from studies that examined granularity and memory for emotion words in bilinguals. Lee et al. (2017) used electroencephalography-based methods to investigate how individual differences in emotional granularity influenced brain activity during affective stimulus processing (i.e. images that induced awe, excitement, fear, disgust, and images comprising neutral stimuli). Granularity was assessed based on participants’

The current study

The current study set out to explore correlation patterns between WMC and trait EI (global trait EI scores, well-being, self-control, emotionality, and sociability). It also aimed to establish whether WMC and trait EI were significant determinants of the number and perceived pleasantness of emotion words freely retrieved and produced by English L1, Spanish L1, and Spanish L2 users and the extent to which language of retrieval modulated retrieval processes. Additionally, a qualitative analysis

Results

Data were initially screened for univariate and multivariate outliers using Mahalanobis distance. No such outliers were found except for one univariate outlier (case 48, female originally from China, who obtained a trait EI score of 3.17), and her data were removed from the remaining analyses. A summary of descriptive statistics is provided in Table 1. For most variables, values of skewness and kurtosis were acceptable (i.e. lower than 1). Age presented slightly higher values of both skewness

Discussion

The current study intended to add to a growing body of literature exploring the relation between WMC and trait EI, but it also goes a step further by examining the effect of WMC and trait EI on the number and perceived pleasantness of emotion words freely retrieved and produced by English L1, Spanish L1, and Spanish L2 users. Moreover, the study aimed to identify whether there was a predominant pattern in the most highly activated emotion words generated in L1 and L2. Overall, the results

Conclusions

The present study highlights the complex interaction between memory, emotion, and language processes related to productive emotional vocabulary. Although much has been said and written about the potential benefits of WMC in a wide range of complex tasks and processes, the negative link found between WMC and trait EI indicate that the aforementioned benefits might be accompanied by costs. Regarding EI, as Gutiérrez-Cobo et al. (2016) argued, the construct demands further examination and

Funding

This study was funded by a grant from the Spanish Government (FEDER/Ministerio de Ciencia, Innovación y Universidades – Agencia Estatal de Investigación ‘Retos de Investigación 2017’) for the project “Emoción, memoria, identidad lingüística y aculturación emocional: Su influencia en el aprendizaje de español como lengua de migración” [Grant number: FFI2017-83166-C2-2-R].

Conflict of interests

None declared.

Acknowledgments

I would like to thank those who participated in the study, as well as the editor and the anonymous reviewers for their helpful suggestions. I am also very grateful to Jean-Marc Dewaele for his insightful comments and constructive feedback on earlier versions of this paper.

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