scholarly journals Do smartphone usage scales predict behavior?

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.

2019 ◽  
Author(s):  
David Alexander Ellis

Understanding how people use technology remains important, particularly when measuring the impact this might have on individuals and society. To date, research within psychological science often frames new technology as problematic with overwhelmingly negative consequences. However, this paper argues that the latest generation of psychometric tools, which aim to assess smartphone usage, are unable to capture technology related experiences or behaviors. As a result, many conclusions concerning the psychological impact of technology use remain unsound. Current assessments have also failed to keep pace with new methodological developments and these data-intensive approaches challenge the notion that smartphones and related technologies are inherently problematic. The field should now consider how it might re-position itself conceptually and methodologically given that many ‘addictive’ technologies have long since become intertwined with daily life.


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.


2021 ◽  
Vol 12 ◽  
Author(s):  
Rachel E. Warsaw ◽  
Andrew Jones ◽  
Abigail K. Rose ◽  
Alice Newton-Fenner ◽  
Sophie Alshukri ◽  
...  

Introduction: Screen-based and mobile technology has grown at an unprecedented rate. However, little is understood about whether increased screen-use affects executive functioning (EF), the range of mental processes that aid goal attainment and facilitate the selection of appropriate behaviors. To examine this, a systematic review was conducted.Method: This systematic review is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. A comprehensive literature search was conducted using Web of Science, MEDLINE, PsycINFO and Scopus databases to identify articles published between 2007 and March 2020, examining the use of mobile technologies on aspects of EF in healthy adults aged 18–35 years. In total 6079 articles were screened by title, and 39 screened by full text. Eight eligible papers were identified for inclusion. Our methods were pre-registered on the PROSPERO international prospective register of systematic reviews.Results: A total of 438 participants were included across the eight studies. Five of the eight studies examined more than one EF. Five studies measured inhibition, and four studies measured decision-making. Smartphone use was negatively associated with inhibition and decision-making. Working memory performance was found to be improved by increased time engaging in video games and by refraining from smartphone use prior to bedtime. Quality assessments indicated high risk of methodological biases across the studies and a low quality of evidence for determining the relationship between technology use and executive functioning.Conclusions: This review highlights the scarcity of the literature in this area. It presents a call for rigorous and objective research to further our understanding of the impact of mobile technology on different aspects of executive function.


2021 ◽  
Author(s):  
Natasha Wade ◽  
Joseph M Ortigara ◽  
Ryan M Sullivan ◽  
Rachel L Tomko ◽  
Florence J Breslin ◽  
...  

BACKGROUND Concerns abound regarding childhood smartphone use, but studies to date have largely relied on self-reported screen use. Self-reporting of screen use is known to be misreported by pediatric samples and their parents, limiting the accurate determination of the impact of screen use on social, emotional, and cognitive development. Thus, a more passive, objective measurement of smartphone screen use among children is needed. OBJECTIVE This study aims to passively sense smartphone screen use by time and types of apps used in a pilot sample of children and to assess the feasibility of passive sensing in a larger longitudinal sample. METHODS The Adolescent Brain Cognitive Development (ABCD) study used passive, objective phone app methods for assessing smartphone screen use over 4 weeks in 2019-2020 in a subsample of 67 participants (aged 11-12 years; 31/67, 46% female; 23/67, 34% White). Children and their parents both reported average smartphone screen use before and after the study period, and they completed a questionnaire regarding the acceptability of the study protocol. Descriptive statistics for smartphone screen use, app use, and protocol feasibility and acceptability were reviewed. Analyses of variance were run to assess differences in categorical app use by demographics. Self-report and parent report were correlated with passive sensing data. RESULTS Self-report of smartphone screen use was partly consistent with objective measurement (<i>r</i>=0.49), although objective data indicated that children used their phones more than they reported. Passive sensing revealed the most common types of apps used were for streaming (mean 1 hour 57 minutes per day, SD 1 hour 32 minutes), communication (mean 48 minutes per day, SD 1 hour 17 minutes), gaming (mean 41 minutes per day, SD 41 minutes), and social media (mean 36 minutes per day, SD 1 hour 7 minutes). Passive sensing of smartphone screen use was generally acceptable to children (43/62, 69%) and parents (53/62, 85%). CONCLUSIONS The results of passive, objective sensing suggest that children use their phones more than they self-report. Therefore, use of more robust methods for objective data collection is necessary and feasible in pediatric samples. These data may then more accurately reflect the impact of smartphone screen use on behavioral and emotional functioning. Accordingly, the ABCD study is implementing a passive sensing protocol in the full ABCD cohort. Taken together, passive assessment with a phone app provided objective, low-burden, novel, informative data about preteen smartphone screen use. CLINICALTRIAL


2014 ◽  
Vol 9 (1) ◽  
pp. 14-28
Author(s):  
Steven Barreto ◽  
Sue K. Adams ◽  
Jennifer Daly

Digital technology use is an integral part of children’s and adolescent’s lives. With the rapid evolution of technology, adult caregivers can easily feel overwhelmed by the daunting task of setting boundaries on technology use. Family systems theory offers a unique perspective for understanding how external factors (i.e., technology) can impede or enhance the family system, particularly when integrated into a developmental framework. Five clinical concepts are presented that weave together developmental tasks and family systems theory. This paper offers recommendations for clinicians to help parents understand the potentially harmful consequences of technology use across the developmental spectrum. We also provide recommendations for how to support parents in discussing technology use with their children and adolescents. Lastly, we offer suggestions for how the impact of technology use on development can be integrated into human service courses at the university level.


SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A140-A140
Author(s):  
L M Repa ◽  
N Rodriguez ◽  
S N Garland

2017 ◽  
Author(s):  
◽  
Nilay Muslu

Formative assessment is essential for improving student learning. Formative assessment research has predominantly used cognitive learning theories. In this dissertation study, I used sociocultural learning perspectives to understand how formative assessment supported student learning during interaction and how it empowered students. This dissertation included three manuscripts. The first manuscript was a conceptual study. I developed a new formative assessment cycle that was built on sociocultural perspectives and prior formative assessment cycles. The model included four steps: building community, monitoring community, community mediation, and redefining goals. These steps were described in detail with examples, and the roles of the teacher, learners, and peers were discussed. Future researchers may potentially use the model to understand formative assessment practices. Practicing teachers and teacher educators may benefit from the provided examples for classroom implementation of the model. In the empirical part of the dissertation, Chapter Three and Chapter Four, the participant teacher, who was a high school physics teacher, was selected from teachers that had been actively using iPads in their classrooms. This study was conducted at a public high school in the Midwest United States that had a diverse student population. Data were collected across eighteen class sessions. Primary data sources included video recorded observation of class sections, iPad applications, and teacher interviews. Supporting secondary sources included pictures taken during observations, lesson plans, assessment examples, student-works, and student interviews. In the second manuscript, I examined a high school physics teacher's technology enhanced classroom to understand the impact of technology on the teacher's formative assessment practices, and how the iPad influenced the formative assessment process, by using sociocultural learning perspectives. The participant teacher's formative assessment practices were described (members, tools, and classroom norms). Results showed that influences of the iPad on the formative assessment process were: 1) transforming classroom community, 2) empowering students, and 3) facilitating evidence-based discussions. This study shed light on: the impact of technology use on the teacher's formative assessment practice, how the impact rebuilt the classroom norms, and how technology use impacted student identity development. In the third manuscript, I focused on the most important aspect of formative assessment - feedback. I examined how well iPad applications (apps) supported providing feedback. Then, I compared the app affordances with teacher practice. To enable analysis of data, I enhanced Hatzipanagos and Warburton's (2009) feedback dimensions. Analysis revealed app diversity in supporting different feedback dimensions, and the teacher, through additional discussion and interactions with students, was able to support dimensions that an app did not. The provided examples of app affordances and teacher practices may be beneficial to prospective and practicing teachers. Application designers may benefit from this study towards improving their apps to support effective feedback.


2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Dina Di Giacomo ◽  
Federica Guerra ◽  
Enrico Perilli ◽  
Jessica Ranieri

Digital innovation changed the daily living impacting Quality of Life of individuals. Our study was focused on adult and elder behavioural approach to the technology. Out study aimed to investigate the impact of technology use in not digital native in order to investigate the behavioural degree of adaptation. An observational study was conducted on adult and old subjects (age range 50–67 years) measuring computer anxiety and technology use ability variables identifying the indexes for technophobia risk in digital living. Not digital native subjects and more older ones appeared being influenced by technophobia features because of feeling themselves as inadequate in the management of technology. Oneway ANOVA and then Bonferroni’s post-hoc analysis showed that non-autonomous (p<0.01), low-frequency (p<0.01), and feelingneed- for-help users (p<0.01) had higher levels of computer anxiety. No significant effect was in gender distribution. Finally, social networking seems related better use of technology and lower anxiety for digital solutions. Our findings highlight technophobia as a possible new risk factor for not digital native because it can affect their daily life through lower adherence to digital solutions; rather than aging successfully, they could develop fragile ageing. More, they seemed inadequate to use the digital solutions for better living in aging.


2020 ◽  
Vol 25 (1) ◽  
pp. 1 ◽  
Author(s):  
Bonifacio Sandín ◽  
Rosa M. Valiente ◽  
Julia García-Escalera ◽  
Paloma Chorot

 Abstract: The COVID-19 pandemic has been spreading rapidly in Spain. The objective of this work was to examine the psychological impact of the pandemic and the Spanish national quarantine that took place during March and April 2020. We investigated the prevalence of fear of coronavirus, emotional symptoms and sleep problems. We also examined possible positive effects. A sample of 1,161 participants (aged 19 to 84 years) completed online the Coronavirus Psychological Impact Questionnaire, the Intolerance to Uncertainty Scale–12, and the Positive and Negative Affect Schedule.  Results indicated that the most common fears pertain to the domains of contagion/disease/death, social isolation, and employment/income issues. We found high levels of emotional impact reflected in fear of coronavirus, sleep problems, and emotional symptoms (preoccupation, distress, hopelessness, depression, anxiety, nervousness, and restlessness). Regression analyses revealed that intolerance to uncertainty and social media exposure are strong predictors of the impact. We also found some effects of the COVID-19 quarantine favoring positive personal experiences. A new self-report instrument to assess psychological impact of coronavirus is provided. Keywords: COVID-19; coronavirus; anxiety; depression; distress; sleep problems; intolerance to uncertainty; media exposure; positive effects.Impacto psicológico de la pandemia de COVID-19: Efectos negativos y positivos en población española asociados al periodo de confinamiento nacionalResumen: La pandemia COVID-19 se ha extendido rápidamente en España. El objetivo del estudio fue examinar el impacto psicológico de la pandemia y el confinamiento nacional vivido en España durante los meses de marzo y abril de 2020. Se investigó la prevalencia del miedo al coronavirus, los síntomas emocionales, y los problemas de sueño. También examinamos los posibles efectos positivos.  Una muestra de 1.161 participantes (edad: 19-84 años) cumplimentó online el Cuestionario de Impacto Psicológico del Coronavirus, la Escala de Intolerancia a la Incertidumbre –12, y las escalas PANAS de afecto positivo y negativo.  Los resultados indican que los miedos más comunes corresponden a las categorías de contagio/enfermedad/muerte, aislamiento social, y problemas de trabajo/ingresos. Encontramos niveles elevados de impacto emocional reflejado en los miedos al coronavirus, problemas de sueño, y síntomas emocionales (preocupación, estrés, desesperanza, depresión, ansiedad, nerviosismo, e inquietud). La intolerancia a la incertidumbre y la exposición a los medios de comunicación son poderosos predictores del impacto. También encontramos que el confinamiento favorecía algunas experiencias personales positivas. Se aporta un nuevo instrumento de autoinforme para la evaluación del impacto psicológico del coronavirus.Palabras clave: COVID-19; coronavirus; ansiedad; depresión; distrés; problemas de sueño; intolerancia a la incertidumbre; medios de comunicación; efectos positivos.


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