scholarly journals Measuring cognitive effort without difficulty

2021 ◽  
Author(s):  
Hugo Fleming ◽  
Oliver Joe Robinson ◽  
Jonathan Paul Roiser
Keyword(s):  
Individual Differences ◽  
Computational Modelling ◽  
Need For Cognition ◽  
Cognitive Effort ◽  
Cognitive Capacity ◽  
Effort Discounting ◽  
Switching Task ◽  
Cognition Scale

An important finding in the cognitive effort literature has been that sensitivity to the costs of effort varies between individuals, suggesting that some people find effort more aversive than others. It has been suggested this may explain individual differences in other aspects of cognition; in particular that greater effort sensitivity may underlie some of the symptoms of conditions such as depression and schizophrenia. In this paper we highlight a major problem with existing measures of cognitive effort that hampers this line of research, specifically the confounding of effort and difficulty. This means that behaviour thought to reveal effort costs could equally be explained by cognitive capacity, which influences the frequency of success and thereby the chance of obtaining reward. To address this shortcoming we introduce a new test, the Number Switching Task (NST), specially designed such that difficulty will be unaffected by the effort manipulation and can easily be standardised across participants. In a large, online sample we show that these criteria are met successfully and reproduce classic effort discounting results with the NST. We also demonstrate the use of computational modelling with this task, producing behavioural parameters which can then be associated with other measures, and report a preliminary association with the Need for Cognition scale.

scholarly journals Dispositional individual differences in cognitive effort investment: establishing the core construct

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Corinna Kührt ◽  
Sebastian Pannasch ◽  
Stefan J. Kiebel ◽  
Alexander Strobel
Keyword(s):  
Individual Differences ◽  
Latent Variables ◽  
Effortful Control ◽  
Factor Model ◽  
Cognitive Effort ◽  
Self Control ◽  
Behavioral Measures ◽  
Effort Discounting ◽  
Cognitive Motivation ◽  
Goal Directed Behavior

Abstract Background Individuals tend to avoid effortful tasks, regardless of whether they are physical or mental in nature. Recent experimental evidence is suggestive of individual differences in the dispositional willingness to invest cognitive effort in goal-directed behavior. The traits need for cognition (NFC) and self-control are related to behavioral measures of cognitive effort discounting and demand avoidance, respectively. Given that these traits are only moderately related, the question arises whether they reflect a common core factor underlying cognitive effort investment. If so, the common core of both traits might be related to behavioral measures of effort discounting in a more systematic fashion. To address this question, we aimed at specifying a core construct of cognitive effort investment that reflects dispositional differences in the willingness and tendency to exert effortful control. Methods We conducted two studies (N = 613 and N = 244) with questionnaires related to cognitive motivation and effort investment including assessment of NFC, intellect, self-control and effortful control. We first calculated Pearson correlations followed by two mediation models regarding intellect and its separate aspects, seek and conquer, as mediators. Next, we performed a confirmatory factor analysis of a hierarchical model of cognitive effort investment as second-order latent variable. First-order latent variables were cognitive motivation reflecting NFC and intellect, and effortful self-control reflecting self-control and effortful control. Finally, we calculated Pearson correlations between factor scores of the latent variables and general self-efficacy as well as traits of the Five Factor Model of Personality for validation purposes. Results Our findings support the hypothesized correlations between the assessed traits, where the relationship of NFC and self-control is specifically mediated via goal-directedness. We established and replicated a hierarchical factor model of cognitive motivation and effortful self-control that explains the shared variance of the first-order factors by a second-order factor of cognitive effort investment. Conclusions Taken together, our results integrate disparate literatures on cognitive motivation and self-control and provide a basis for further experimental research on the role of dispositional individual differences in goal-directed behavior and cost–benefit-models.

scholarly journals Need for cognition does not account for individual differences in metacontrol of decision making

2020 ◽  
Author(s):  
Florian Bolenz ◽  
Maxine F. Profitt ◽  
Fabian Stechbarth ◽  
Ben Eppinger ◽  
Alexander Strobel
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Individual Differences ◽  
Executive Functions ◽  
Learning Strategies ◽  
Personality Trait ◽  
Need For Cognition ◽  
Cognitive Effort

Humans show metacontrol of decision-making towards different reward magnitudes. Specifically, when higher rewards are at stake, individuals increase reliance on a more accurate but cognitively effortful strategy. We investigated whether the personality trait Need for Cognition (NFC) explains individual differences in metacontrol. Based on findings of cognitive effort expenditure in executive functions, we expected more metacontrol in individuals low in NFC. In two independent studies, metacontrol was assessed by means of a decision-making task that dissociates different reinforcement-learning strategies. In contrast to our expectations, NFC did not account for individual differences in metacontrol of decision making. These findings suggest a differential role of NFC for the regulation of cognitive effort in decision making and executive functions.

scholarly journals Dispositional Cognitive Effort Investment and Behavioral Demand Avoidance: Are They Related?

2019 ◽  
Author(s):  
Alexander Strobel ◽  
Gesine Wieder ◽  
Philipp C. Paulus ◽  
Florian Ott ◽  
Sebastian Pannasch ◽  
...  
Keyword(s):  
Individual Differences ◽  
Longitudinal Design ◽  
Cognitive Demand ◽  
Cost Benefit ◽  
Cognitive Effort ◽  
Self Control ◽  
Measurement Occasion ◽  
Trait Variance ◽  
Effort Discounting ◽  
Behavioral Markers

Individuals tend to avoid cognitive demand, yet, individual differences appear to exist. Recent evidence from two studies suggests that individuals high in the personality traits Self-Control and Need for Cognition that are related to the broader construct Cognitive Effort Investment are less prone to avoid cognitive demand and show less effort discounting. These findings suggest that cost-benefit models of decision-making that integrate the costs due to effort should consider individual differences in the willingness to exert mental effort. However, to date, there are almost no replication attempts of the above findings. For the present conceptual replication, we concentrated on the avoidance of cognitive demand and used a longitudinal design and latent state-trait modeling. This approach enabled us to separate the trait-specific variance in our measures of Cognitive Effort Investment and Demand Avoidance that is due to stable, individual differences from the variance that is due to the measurement occasion, the methods used, and measurement error. Doing so allowed us to test the assumption that self-reported Cognitive Effort Investment is related to behavioral Demand Avoidance more directly by relating their trait-like features to each other. In a sample of N = 217 participants, we observed both self-reported Cognitive Effort Investment and behavioral Demand Avoidance to exhibit considerable portions of trait variance. However, these trait variances were not significantly related to each other. Thus, our results call into question previous findings of a relationship between self-reported effort investment and demand avoidance. We suggest that novel paradigms are needed to emulate real-world effortful situations and enable better mapping between self-reported measures and behavioral markers of the willingness to exert cognitive effort.

Investment Traits and Intelligence in Adulthood

2013 ◽  
Vol 34 (2) ◽  
pp. 82-89 ◽  
Author(s):  
Sophie von Stumm
Keyword(s):  
Individual Differences ◽  
Personality Traits ◽  
Fluid Intelligence ◽  
Need For Cognition ◽  
Openness To Experience ◽  
Intelligence Tests ◽  
Crystallized Intelligence ◽  
New Knowledge ◽  
The Relationship ◽  
Over Time

Intelligence-as-knowledge in adulthood is influenced by individual differences in intelligence-as-process (i.e., fluid intelligence) and in personality traits that determine when, where, and how people invest their intelligence over time. Here, the relationship between two investment traits (i.e., Openness to Experience and Need for Cognition), intelligence-as-process and intelligence-as-knowledge, as assessed by a battery of crystallized intelligence tests and a new knowledge measure, was examined. The results showed that (1) both investment traits were positively associated with intelligence-as-knowledge; (2) this effect was stronger for Openness to Experience than for Need for Cognition; and (3) associations between investment and intelligence-as-knowledge reduced when adjusting for intelligence-as-process but remained mostly significant.

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