scholarly journals Individual differences in attention allocation during a two-dimensional inhibitory control task

Author(s):  
Emily R. Weichart ◽  
Per B. Sederberg
2019 ◽  
Vol 53 (5) ◽  
pp. 848-870 ◽  
Author(s):  
Emma Beuckels ◽  
Snezhanka Kazakova ◽  
Veroline Cauberghe ◽  
Liselot Hudders ◽  
Patrick De Pelsmacker

Purpose Past research suggests that heavy media multitaskers (HMMs) perform worse on tasks that require executive control, compared to light media multitaskers (LMMs). This paper aims to investigate whether individual differences between HMMs and LMMs make them respond differently to advertising in a media multitasking context and whether this stems from differences in the ability versus the motivation to regulate one’s attention. This is investigated by manipulating participants’ autonomy over attention allocation. Design/methodology/approach For the first study (n = 85), a between subjects design with three conditions was used: sequential, multitasking under low autonomy over attention allocation and multitasking under high autonomy over attention allocation. This study investigated the inhibitory control of HMMs vs LMMs in a very controlled multitasking setting. The second study (n = 91) replicated the design of study one in a more naturalistic media multitasking setting and investigated the driving role of motivation vs ability for cognitive load differences between HMMs and LMMs and the consequent impact on advertising effectiveness. Findings Study I suggests that HMMs perform worse on a response inhibition task than LMMs after multitasking freely (in which case motivation to regulate attention determines the process), but not after their attention was guided externally by the experimenter (in which case their motivation could no longer determine the process). Study II argues that when motivation to switch attention is at play, cognitive load differences occur between HMMs and LMMs. This study additionally reveals that under these circumstances, HMMs are more persuaded by advertisements (report higher purchase intentions) compared to LMMs, while no differences appear when only ability is at play. Research limitations/implications Executive control exists of different components (Miyake et al., 2000). The current study only focused on the impact of media multitasking frequency on response inhibition, but it would be interesting for future research to investigate whether media multitasking frequency equally affects the other sub-dimensions. Additionally, the impairment of response inhibition has been shown to predict a large number of other behavioral and impulse-control outcomes such as unhealthy food choices and alcohol and drug use (e.g. Friese et al., 2008). Future research should consider investigating other consequences of heavy media multitasking behavior, both advertising related and unrelated. Practical implications From a practical point of view, understanding the mechanisms that are driving the effects of media multitasking on advertising effectiveness for different groups of media-consumers could make it easier for practitioners to efficiently plan their media campaigns. Based on the findings of this study, the authors can derive that HMMs will be more depleted in cognitive resources and inhibitory control when media multitasking compared to LMMs. Consequently, this makes them more prone to advertising messages. This knowledge is of great importance for advertisers who could, based here on, aim to target HMMs more often than LMMs. Originality/value Two experimental studies by the authors confirm and add value to previous academic findings about the negative relation between media multitasking frequency and tasks that demand executive control. This study contributed to the previous by investigating whether individual differences between heavy and light media multitaskers make them respond differently toward advertising and whether the driving mechanism of these differences is a lack of motivation or ability to efficiently shift attention.


2003 ◽  
Vol 10 (4) ◽  
pp. 884-889 ◽  
Author(s):  
M. Kathryn Bleckley ◽  
Francis T. Durso ◽  
Jerry M. Crutchfield ◽  
Randall W. Engle ◽  
Maya M. Khanna

2017 ◽  
Author(s):  
Thorsten Pachur ◽  
Michael Schulte-Mecklenbeck

There is a disconnect in the literature between analyses of risky choice based on cumulativeprospect theory (CPT) and work on predecisional information processing. One likely reason is that for expectation models (e.g., CPT) it is often assumed that people only behaved as if they conducted the computations leading to the predicted choice, and that the models are thus mute with regard to information processing. We suggest that key psychological constructs in CPT, such as loss aversion and outcome and probability sensitivity, can be interpreted in terms of attention allocation. In two experiments, we tested hypotheses about specific links between CPT parameters and attentional regularities. Experiment 1 used process tracing to monitor participants’ predecisional attention allocation to outcome and probability information. As hypothesized, individual differences in CPT’s loss-aversion, outcome-sensitivity, and probability-sensitivity parameters (estimated from participants’ choices) were systematically associated with individual differences in attention allocation to outcome and probability information. For instance, loss aversion was associated with the relative attention allocated to loss and gain outcomes, and a more strongly curved weighting function was associated with less attention allocated to probabilities. Experiment 2 manipulated participants’ attention to losses or gains, causing systematic differences in CPT’s loss aversion parameter. This result indicates that attention allocation can to some extent cause choice regularities that are captured by CPT. Our findings demonstrate an “as-if” model’s capacity to reflect characteristics of information processing. We suggest that the observed CPT–attention links can be harnessed to inform the development of process models of risky choice.


2020 ◽  
Author(s):  
Maud Grol ◽  
Luis Cásedas ◽  
Danna Oomen ◽  
Desirée Spronk ◽  
Elaine Fox

Uncontrolled eating—in the general population—is characterized by overeating, hedonic hunger and being drawn towards palatable foods. Theoretically, it is the result of a strong food reward signal in relation to a poor ability to exert inhibitory control. How food consumption influences inhibitory control and food reward sensitivity, and how this relates to the continued urge to eat, remains unclear though. We used fMRI (N=40) in order to investigate the neural mechanism underlying food reward sensitivity and food-specific response inhibition (go-nogo task), by comparing women reporting high versus low/average uncontrolled eating across two sessions: during an inter-meal hunger state and after consumption of a high-caloric snack. We found no effects of individual differences in uncontrolled eating, food consumption, nor their interaction on food reward sensitivity. Differences in uncontrolled eating and food consumption did interact in modulating activity in the left superior occipital gyrus during response inhibition of non-food stimuli, an area previously associated with successful nogo- vs. go-trials. Yet, behavioural performance on the go-nogo task was not modulated by uncontrolled eating nor food consumption. Women with a low/average tendency for uncontrolled eating may need more cognitive resources to support successful response inhibition of non-food stimuli during food ‘go’ blocks in an inter-meal hunger state, whereas women with a high tendency for uncontrolled eating showed this after food consumption. Considering current and previous findings, it seems that individual differences in uncontrolled eating in healthy women have only limited influence on food reward sensitivity and food-related inhibitory control, whereas differences in weight status (e.g., obesity) may have more impact.


2018 ◽  
Vol 373 (1744) ◽  
pp. 20170160 ◽  
Author(s):  
Caroline P. Hoyniak ◽  
Isaac T. Petersen ◽  
John E. Bates ◽  
Dennis L. Molfese

The current study examined the association between effortful control and a well-studied neural index of self-regulation, the N2 event-related potential (ERP) component, in toddlers. Participants included 107 toddlers (44 girls) assessed at 30, 36 and 42 months of age. Participants completed a Go/NoGo task while electroencephalography data were recorded. The study focused on the N2 ERP component. Parent-reported effortful control was examined in association with the NoGo N2 ERP component. Findings suggest a positive association between the NoGo N2 component and the inhibitory control subscale of the wider effortful control dimension, suggesting that the N2 component may index processes associated with temperamental effortful control. This article is part of the theme issue ‘Diverse perspectives on diversity: multi-disciplinary approaches to taxonomies of individual differences’.


2018 ◽  
Vol 71 (5) ◽  
pp. 1219-1233 ◽  
Author(s):  
Angela de Bruin ◽  
Sergio Della Sala

Older adults have been argued to have impoverished inhibitory control compared to younger adults. However, these effects of age may depend on processing speed and their manifestation may furthermore depend on the type of inhibitory control task that is used. We present two experiments that examine age effects on inhibition across three tasks: a Simon arrow, static flanker and motion flanker task. The results showed overall slower reaction times (RTs) for older adults on all three tasks. However, effects of age on inhibition costs were only found for the Simon task, but not for the two flanker tasks. The motion flanker task furthermore showed an effect of baseline processing speed on the relation between age and inhibition costs. Older adults with slower baseline responses showed smaller inhibition costs, suggesting they were affected less by the flanker items than faster older adults. These findings suggest that effects of age on inhibition are task dependent and can be modulated by task-specific features such as the type of interference, type of stimuli and processing speed.


2019 ◽  
Vol 151 ◽  
pp. 1-7 ◽  
Author(s):  
Maria Santacà ◽  
Melania Busatta ◽  
Beste Başak Savaşçı ◽  
Tyrone Lucon-Xiccato ◽  
Angelo Bisazza

2019 ◽  
Vol 224 (7) ◽  
pp. 2357-2371 ◽  
Author(s):  
Mo Chen ◽  
Yan Jing Wu ◽  
Junjie Wu ◽  
Yongben Fu ◽  
Shuhua Li ◽  
...  

2014 ◽  
Vol 26 (8) ◽  
pp. 1601-1614 ◽  
Author(s):  
Corey N. White ◽  
Eliza Congdon ◽  
Jeanette A. Mumford ◽  
Katherine H. Karlsgodt ◽  
Fred W. Sabb ◽  
...  

The stop-signal task, in which participants must inhibit prepotent responses, has been used to identify neural systems that vary with individual differences in inhibitory control. To explore how these differences relate to other aspects of decision making, a drift-diffusion model of simple decisions was fitted to stop-signal task data from go trials to extract measures of caution, motor execution time, and stimulus processing speed for each of 123 participants. These values were used to probe fMRI data to explore individual differences in neural activation. Faster processing of the go stimulus correlated with greater activation in the right frontal pole for both go and stop trials. On stop trials, stimulus processing speed also correlated with regions implicated in inhibitory control, including the right inferior frontal gyrus, medial frontal gyrus, and BG. Individual differences in motor execution time correlated with activation of the right parietal cortex. These findings suggest a robust relationship between the speed of stimulus processing and inhibitory processing at the neural level. This model-based approach provides novel insight into the interrelationships among decision components involved in inhibitory control and raises interesting questions about strategic adjustments in performance and inhibitory deficits associated with psychopathology.


2016 ◽  
Vol 31 (3) ◽  
pp. 224-238 ◽  
Author(s):  
Alisha Coolin ◽  
Edgar Erdfelder ◽  
Daniel M. Bernstein ◽  
Allen E. Thornton ◽  
Wendy Loken Thornton

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