Sensitivity to financial rewards and impression management links to smartphone use and dependence

2021 ◽  
Vol 25 (2) ◽  
pp. 107-128
Author(s):  
Graham Pluck ◽  
◽  
Pablo Emilio Barrera Falconi ◽  
◽  
◽  
...  

Computational modeling and brain imaging studies suggest that sensitivity to rewards and behaviorist learning principles partly explain smartphone engagement patterns and potentially smartphone dependence. Responses to a questionnaire, and observational measures of smartphone use were recorded for 121 university students. Each participant was also tested with a laboratory task of reward sensitivity and a test of verbal operant conditioning. Twenty-three percent of the sample had probable smartphone addiction. Using multivariate regression, smartphone use, particularly the number of instant messenger services employed, was shown to be significantly and independently predicted by reward sensitivity (a positive relationship), and by instrumental conditioning (a negative relationship). However, the latter association was driven by a subset of participants who developed declarative knowledge of the response-reinforcer contingency. This suggests a process of impression management driven by experimental demand characteristics, producing goal-directed instrumental behavior not habit-based learning. No other measures of smartphone use, including the self-report scale, were significantly associated with the experimental tasks. We conclude that stronger engagement with smartphones, in particular instant messenger services, may be linked to people being more sensitive to rewarding stimuli, suggestive of a motivational or learning mechanism. We propose that this mechanism could underly problem smartphone use and dependence. It also potentially explains why some aspects of smartphone use, such as habitual actions, appear to be poorly measured by technology-use questionnaires. A serendipitous secondary finding confirmed that smartphone use reflected active self-presentation. Our ‘conditioning’ task-induced this behavior in the laboratory and could be used in social-cognition experimental studies.

2020 ◽  
Vol 32 (5) ◽  
pp. 247-256 ◽  
Author(s):  
Aleksander Pulver ◽  
Evelyn Kiive ◽  
Jaanus Harro

AbstractObjective:Reward sensitivity is an increasingly used construct in psychiatry, yet its possible inner structure and relationship with other affective variables are not well known.Methods:A reward sensitivity measurement scale was constructed on the basis of large item pool collected from birth cohort representative samples (the Estonian Children Personality Behaviour and Health Study; original n = 1238). Affective Neuroscience Personality Scale (ANPS) and the Adult Attention deficit hyperactivity disorder (ADHD) Self-Report Scale (ASRS) were administered in young adulthood. A variant (rs4570625) of the gene encoding tryptophan hydroxylase 2 (TPH2) that is responsible for the synthesis of central serotonin was genotyped.Results:Reward sensitivity consisted of two orthogonal components, operationally defined as Openness to Rewards and Insatiability by Reward, that respectively characterise the striving towards multiple rewards and the strong pursuit and fixation to a particular reward. While SEEKING and PLAY (and to lower extent CARE) of the ANPS co-varied with Openness to Rewards, FEAR, SADNESS, and ANGER were related to Insatiability by Reward. The total score of ASRS was moderately correlated with Insatiability by Reward, while the association with Openness to Rewards was negligible. However, ASRS Inattention had some negative relationship with the Social Experience facet of Openness to Rewards. The T/T homozygotes for the TPH2 promoter polymorphism had lower Insatiability by Reward but not Openness to Rewards.Conclusions:Behaviours sensitive to rewards are separable to the components of variability and fixation, and these components are differentially related to affective aspects of personality, attention, and hyperactivity as well as to TPH2 genotype.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S951-S951
Author(s):  
Elizabeth Mack ◽  
Shelia Cotten ◽  
Chu-Hsiang Chang ◽  
Wenda Bauschpies

Abstract Long-term exposure to stress places people at risk for chronic diseases including but not limited to obesity, Type-2 diabetes, and heart disease. Various aspects of technology use are associated with stress. Known as technostress, this unique stress is characterized by individuals’ inability to cope with demands generated by computer-related technologies. To date, studies on technostress have focused on young adults and older adults, with an emphasis on self-reported indicators of both technology use and stress. This study differs from prior work in two ways. One, it examines technology use and stress in mid-life adults (50-64), an understudied population in research on technostress. This segment of the population is important because their technostress may negatively affect their successful transition into older adulthood. Second, we use three types of data to elucidate the linkages between technology use and stress: (1) self-reported survey measures of technology use and stress; (2) objective measures of technology use from tracking applications, and (3) biophysiological measures of stress. The study focuses on smartphone use, which was the most commonly used technology by mid-life adults on both weekdays and weekends based on our initial results (N=40). The goal of this pilot study is to highlight the problems and prospects of conducting technostress research through the utilization of multiple data collection modes: self-report, tracking applications (apps), and biophysical indicators.


Author(s):  
Kristoffer Geyer ◽  
Xavier Carbonell ◽  
Marta Beranuy ◽  
Fran Calvo

Smartphones are used by billions of people worldwide. However, some psychologists have argued that use of this technology is addictive, even though little research utilises objective smartphone usage records to verify this claim. We conducted an exploratory study to identify whether behavioural differences exist between those who self-identify as addicted smartphone users and those who do not. We gathered retrospective smartphone usage data from 131 Android users and asked them about their past use to compare their perception of their usage against their actual usage. We could not identify any reliable differences between the smartphone activity of those self-identified as addicted smartphone users and other users. Furthermore, smartphone scales are generally good at identifying who believes themselves to be addicted, although they do not reflect objective smartphone use. This study questions the use of self-report measures to diagnosis behavioural addictions without relevant psychopathological constructs and emphasises the need for more rigorous study to conceptualise smartphone addiction.


2018 ◽  
Author(s):  
David Alexander Ellis ◽  
Brittany I Davidson ◽  
Heather Shaw ◽  
Kris Geyer

Understanding how people use technology remains important, particularly when measuring the impact this might have on individuals and society. However, despite a growing body of resources that can quantify smartphone use, research within psychology and social science overwhelmingly relies on self-reported assessments. These have yet to convincingly demonstrate an ability to predict objective behavior. Here, and for the first time, we compare a variety of smartphone use and ‘addiction’ scales with objective behaviors derived from Apple’s Screen Time application. While correlations between psychometric scales and objective behavior are generally poor, single estimates and measures that attempt to frame technology use as habitual rather than ‘addictive’ correlate more favorably with subsequent behavior. We conclude that existing self-report instruments are unlikely to be sensitive enough to accurately predict basic technology use related behaviors. As a result, conclusions regarding the psychological impact of technology are unreliable when relying solely on these measures to quantify typical usage.


2020 ◽  
Author(s):  
Heather Shaw ◽  
David Alexander Ellis ◽  
Kris Geyer ◽  
Brittany I Davidson ◽  
Fenja V Ziegler ◽  
...  

Problematic smartphone scales and duration estimates of use dominate research that considers the impact of smartphones on people and society. However, issues with conceptualisation and subsequent measurement can obscure genuine associations between technology use and health. Here, we consider whether different ways of measuring ‘smartphone use’, notably through problematic smartphone usage (PSU) scales, subjective estimates, or objective logs, leads to contrasting associations between mental and physical health. Across two samples including iPhone (n=199) and Android (n=46) users, we observed that measuring smartphone interactions with PSU scales produced larger associations between mental health when compared with subjective estimates or objective logs. Notably, the size of the relationship was fourfold in Study 1, and almost three times as large in Study 2 when relying on a smartphone ‘addiction’ scale instead of objective measures. Further, in regression models, only smartphone ‘addiction’ scores predicted mental health outcomes, whereas objective logs or estimates were not significant predictors. We conclude that addressing people’s appraisals including worries about their technology usage is likely to have greater mental health benefits than reducing their overall smartphone use. Reducing general smartphone use should therefore not be a priority for public health interventions at this time.


2020 ◽  
Author(s):  
Asem Alageel ◽  
Rayyan Abdullah Alyahya ◽  
Yasser Bahatheq ◽  
Norah Alzunaydi ◽  
Raed Alghamdi ◽  
...  

Abstract Background With the wide variety of convenient functionalities, smartphones have become an integral part of society, and in such a small period. It is imperative to examine the adverse effect and consequences of such highly impactful technologies on our individual lives and society as a whole. Like smartphone addiction, behavioral addictions have been established to accompany social, physical, and mental health issues. In this article, we will be investigating the prevalence of smartphone addiction among postgraduate students as well as assessing its relationship to social demographics, depression, ADHD, and nicotine dependence. Objectives · The prevalence of smartphone addiction among middle eastern postgraduate students. · Ascertain the associated factors of smartphone addiction. · Measure the incidence of MDD, ADHD, insomnia, and nicotine addiction among postgraduate students with smartphone addiction. Methods A Cross-sectional online survey, a self-questionnaire is divided into six sections; 1st section is Socio-demographic (age, gender, academic year). 2nd section is the Arabic-validated versions of the Smartphone Addiction Scale (SAS) 3rd section is Patient Health Questionnaire for Depression (PHQ9). 4 th is Athens Insomnia Scale (AIS) to assess the quality of sleep. 5th concerns nicotine dependence and uses the Fagerstrom Test for Cigarette Dependence Questionnaire (FTCd). The 6th section is the Adult ADHD Self-Report Scale (ASRS-v1.1) Results The total number of participants in this study is 506, 158 (31.23%) males, and 348 (68.77%) females. According to the Smartphone Addiction Scale, 51.0% of the participants appear to be high smartphone users, while 49.0% are low smartphone users. The PHQ-9 questionnaire for depression showed a significant association between high smartphone use and MDD (p=0.001). 41.5% of smokers are addicted to smartphones (p=0.039). Smartphone addicts have about two times the risk of developing insomnia (OR= 2.113) (P= 0.013). Those who were addicted to smartphone use had a significant risk of developing ADHD symptoms (OR =2.712) (P <0.001). Conclusion Confirming several studies, we found a positive association between Insomnia, Depression, Adult ADHD, and Smartphone addiction. Therefore, we encourage the scientific community to study the impacts of smartphone addiction and the mental health of post-graduate students.


2021 ◽  
Vol 11 (3) ◽  
pp. 1011-1021
Author(s):  
Sonia Mangialavori ◽  
Claudia Russo ◽  
Maria Veronica Jimeno ◽  
Jorge Javier Ricarte ◽  
Giulio D’Urso ◽  
...  

Young adulthood is the life stage during which people are more prone to develop problematic smartphone use (PSU). Only one study investigated the relationship among attachment styles, family functioning, and PSU, but thus far, no research has shown the relative importance that such dimensions may have on PSU. The main aim of this study was to analyze to what extent insecure attachment styles and unbalanced family functioning are related to PSU, investigating the specific weight of each dimension in a sample of young adults (N = 301; 82.7% females; Mage = 22.89; SD = 3.02). Participants completed a self-report questionnaire, including the Relationship Questionnaire, the Family Adaptability and Cohesion Evaluation Scale IV, and the Smartphone Addiction Scale. The regression and relative weight analyses results showed that preoccupied attachment style and disengaged, chaotic, and enmeshed family functioning were positively related to PSU. Implications for future research and interventions were discussed.


Author(s):  
Sarah Kent ◽  
Ciara Masterson ◽  
Raian Ali ◽  
Christine E. Parsons ◽  
Bridgette M. Bewick

Smartphones have become the primary devices for accessing the online world. The potential for smartphone use to become problematic has come into increasing focus. Students and young adults have been shown to use their smartphones at high rates and may be at risk for problematic use. There is limited research evaluating interventions for problematic smartphone use. The present research aimed to develop and evaluate a digital intervention for problematic smartphone use in a student population. A mixed-method case series design was used. The participants were 10 students with mild–moderate dependency on the online world (measured via a self-report questionnaire). An intervention comprising goal setting, personalised feedback, mindfulness, and behavioural suggestions was delivered via a smartphone application. Time spent on smartphones was measured objectively through the same application. Changes in problematic technology use, wellbeing, mindfulness, and sleep were also evaluated. The findings indicate that the intervention resulted in a reduction in self-reported problematic smartphone use, but not screen time. The findings also indicate that over the course of participation, there was a positive influence on wellbeing, online dependency, mindfulness, and sleep. However, the mechanisms of change could not be determined. The study provides preliminary evidence that a light-touch, smartphone-delivered package is an acceptable and effective intervention for students wishing to better manage their problematic smartphone use.


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