Smartphone Distraction Research Articles

Texting while driving is a visual problem influenced by phone viewing angle and working distance in young individuals

PurposeTo investigate the impact of smartphone viewing distance and angle on reaction times. DesignA prospective, self-controlled, single-center study. MethodsParticipants engaged in a driving simulation facing a large screen with a simulated brake pedal. They were tasked to stop the simulation once recognizing the deceleration of upcoming traffic. Tests were conducted without distraction and with a standardized distraction simulating texting while driving (TWD). Smartphone positions varied at distances of 30 cm and 60 cm, and at angles parallel to and 30° below the road plane. Reaction times were measured from the onset of simulated closure to detection. Stopping distances were extrapolated using data from the National Highway Traffic Safety Administration. ResultsNinety-four participants were included with a mean age of 24 ± 2.7 years. The control reaction time was 11.5 ± 4.1 s. Reaction times significantly decreased with smartphone placement at a closer distance of 30 cm parallel (17.0 ± 3.3 s) vs 60 cm parallel (15.4 ± 3.8 s), P < 0.001. A 30-degree downward placement at 30 cm (18.6 ± 4.0 s) and 60 cm (17.9 ± 3.6 s), further decreased reaction time compared to parallel phone positioning, P < 0.001. Extrapolating to stopping distances based on real-world data, smartphone distractions placed at 30 cm 30° below the dashboard had the greatest effect, resulting in a 3 times increase of stopping distance compared to the control, 1201 vs 394 ft respectively, P < 0.001. ConclusionTWD significantly delays reaction time in young participants. Both the distance and viewing angle of a smartphone significantly influences reaction times during driving simulations. The greatest delays are observed when the smartphone is positioned closer to the user and at a 30-degree angle which we hypothesize is due to vision blur from increased accommodation, loss of stereopsis, and fixation with the peripheral retina.

Smartphone Distraction and Academic Anxiety: The Mediating Role of Academic Procrastination and the Moderating Role of Time Management Disposition.

The present study investigated the relationship between smartphone distraction, academic procrastination, academic anxiety, and time management disposition. A total of 474 college students were recruited to complete a survey comprising measures of smartphone distraction, academic procrastination, academic anxiety, and time management disposition. The hypothesised moderated mediation model was tested using Model 4 and Model 15 of the PROCESS macro for SPSS. Results showed that smartphone distraction was positively and significantly correlated with academic anxiety (r = 0.40, p < 0.001) and academic procrastination (r = 0.42, p < 0.001). Academic procrastination mediated the relationship between smartphone distraction and academic anxiety. Time management disposition moderated the paths from academic procrastination and smartphone distraction to academic anxiety. The present study suggests that smartphone distraction could predict increased levels of academic procrastination, which could then lead to higher academic anxiety. However, the predicting effects in this mediation model could fluctuate across individuals with different time management dispositions. Further studies are needed to explore the mechanism of smartphone distraction using different methods.

The chain mediating role of rumination and social withdrawal in the relationship between smartphone distraction and depression among Chinese nursing students

Smartphone distraction (SD) is closely related to depression, and the prevalence of SD among nursing students is gradually increasing. However, the potential mechanism of the effect of SD on nursing students’ depression is unclear. A total of 574 nursing students were assessed using Smartphone Distraction Scale, Ruminative Response Scale, Hikikomori Questionnaire, and Patient Health Questionnaire-9. The results indicated that SD among nursing students had an impact on depression through four pathways: (1) SD was positively associated with depression (β = 0.353, P < 0.001); (2) Rumination (β = 0.199, 95% CI: 0.081 to 0.162) and social withdrawal (β = 0.061, 95% CI: 0.034 to 0.091) mediated the effects of SD on depression, respectively; and (3) Rumination and social withdrawal played a chain mediating role in the effect of SD on nursing students’ depression (β = 0.027, 95% CI: 0.015 to 0.042). The negative impact of SD on nursing students’ mental health should not be taken lightly. Schools and hospitals should guide nursing students to use smartphones correctly, including providing mental health education and professional psychological counselling; families could play a supervisory role and communicate regularly to understand the psychological state and learning of nursing students. These measures can help nursing students cope with stress and reduce the risk of depression.

Exploring the Nexus Between Child Unintentional Injuries and Parental Smartphone Distraction: A Narrative Review of Studies, News Reports, and Rising Cases

This review explores the impact of smartphone use on parenting practices and parental supervision. With the pervasive presence of smartphones in daily life, there is growing concern about their potential to distract parents and interrupt effective parenting. The purpose of this review is to synthesise the existing literature on how smartphone usage affects parental attention and supervision. Collected research papers and news reports have highlighted that parents’ excessive smartphone use has contributed to distracted parental supervision, uninvolved parenting, unintentional injuries, and fatalities among children. This review examines studies from various databases, focusing on information related to smartphone distraction among parents. Key findings indicate that high smartphone use is associated with reduced quality of parental interactions and inadequate supervision, leading to increased risks for children. The review concludes that while smartphones provide significant benefits, their overuse poses substantial risks to child safety and development. Future research should aim to develop strategies to mitigate these negative impacts and promote balanced smartphone use in family contexts.

Understanding the relationship between smartphone distraction, social withdrawal, digital stress, and depression among college students: A cross-sectional study in Wuhan, China

BackgroundSmartphone distraction considerably affects the depression level of college students. These two variables are highly associated with social withdrawal and digital distress. However, the underlying mechanisms of how social withdrawal and digital stress were involved in the relationship between smartphone distraction and depression remain unclear. MethodsA cross-sectional survey was conducted in seven colleges of Wuhan, Hubei Province, from September to November 2021. Participants were selected using convenience sampling. Smartphone distraction, social withdrawal, digital stress, and depression level were assessed using the Smartphone Distraction Scale (SDS), 25-item Hikikomori Questionnaire (HQ-25), Multidimensional Digital Stress Scale (DSS), and the Patient Health Questionnaire-9 (PHQ-9), respectively. All scales demonstrated good reliability in this study, the reliability of each scale was 0.920, 0.884, 0.959, and 0.942. ResultsThe final analysis included 1184 students (692 males and 492 females), aged between 17 and 37 years. Participants were from various academic disciplines, including medical and non-medical. The findings revealed that smartphone distraction had a significant direct effect on depression (c = 0.073, 95 % CI: 0.037 to 0.108, p < 0.001) and three significant indirect mediation effects: (1) social withdrawal (B = 0.083, 95 % CI: 0.066 to 0.101, p < 0.001), accounting for 27.76 % of the total effect; (2) digital stress (B = 0.109, 95 % CI: 0.088 to 0.132, p < 0.001), accounting for 36.45 % of the total effect; and (3) the chain mediating roles of social withdrawal and digital stress (B = 0.034, 95 % CI: 0.026 to 0.043, p < 0.001), accounting for 11.37 % of the total effect. The total mediating effect was 75.59 %. LimitationsThis study is based on cross-sectional data, which limits the causality inference. ConclusionsThese findings suggest that educational institutions should identify college students with excessive smartphone use early and provide timely interventions to minimize negative outcomes. It is also significant to reduce the risk of social withdrawal and digital stress to maintain the physical and mental health development of college students.

Different smartphone tasks and traffic complexity affect pedestrian awareness of co-existing road objects and cerebral oxygenation during shared space walking

Distraction, primarily owing to the widespread use of cell phones and mobile devices while walking, is a contributing factor to pedestrian injuries. Pedestrians distracted by smartphones exhibit decreased situational awareness, influenced by the nature of concurrent tasks. However, little is known about the neural correlations between smartphone use and pedestrian responses to safety–critical events in a walking environment. This study recruited 30 young adults to investigate pedestrians’ ability to selectively respond to road objects while using smartphones (texting and reading) while walking in an immersive virtual environment system. The level of traffic complexity for the road conditions was manipulated by varying the number of safety–critical road objects coexisting in the environment at any given time and the number of required responses to the number of objects. During each 7-min task condition, cerebral oxygenation was measured using functional near-infrared spectroscopy. Furthermore, smartphone task performance, response times to road objects, and perceived workload were also measured. The participants exhibited reduced texting speed and reading performance when responding sequentially to coexisting road objects. Compared with other road conditions, those requiring two responses to four objects resulted in an increased workload and longer object response times. Participants perceived a higher workload in conditions involving tasks with smartphones than those without smartphones. More importantly, increased concentrations of oxygenated hemoglobin in the prefrontal cortex were observed when participants were concurrently performing smartphone and pedestrian tasks. Compared to smartphone reading, smartphone texting induced greater cerebral oxygenation in the bilateral frontopolar cortex. These results suggest that continuously texting while walking may demand additional cognitive resources for executive function. The findings of this study represent an initial step towards elucidating the cognitive mechanisms underlying attentional impairments experienced during smartphone distraction and working towards a viable solution to mitigate pedestrian risk.

Breaking free from the “digital rabbit hole”: A configurational analysis of in-class smartphone distraction among university students

Smartphone distraction is pervasive in university classrooms, yet our understanding of its determinants remains incomplete. Drawing on complexity theory and the technology–personal–environment framework, this study employs multiple data sets for exploring the primary predictors and their configurations in determining in-class smartphone distraction among university students. Based on the interview data from 15 undergraduate students, seven primary predictors of smartphone distraction were identified. Subsequently, the study delved into the questionnaire data collected from 563 Chinese university students and revealed four combinations of the predictors for in-class smartphone distraction through fuzzy-set qualitative comparative analysis. This study contributes to the literature on in-class smartphone distraction by revealing its complex nature and offering practical strategies for educational practitioners to counteract the adverse effects of smartphone distraction in university classrooms.

Emotional and Behavioural Factors Predisposing to Internet Addiction: The Smartphone Distraction among Italian High School Students.

In a digitally oriented society, smartphones provide continual online accessibility to daily life while simultaneously predisposing adolescents to engage in prolonged connections for various purposes, thus escalating the risk of Internet addiction (IA). Cognitive processes such as multitasking and attentional shifting are frequently associated with smartphone activities. Additionally, online engagements may serve as emotional strategies for regulating negative states (e.g., boredom and distress), redirecting attention towards more gratifying activities, such as social media contents. This study delves into cognitive-emotional processes (i.e., emotion regulation, attention impulsiveness, online vigilance, and multitasking) and emotional/behavioural factors (i.e., emotional problems, conduct problems, hyperactivity/inattention, peer relationships, and prosocial behaviours) that may be implicated in smartphone activities and technology addiction among adolescents. A community sample of Italian high school students (N = 676; 42.2% females) completed the Smartphone Distraction Scale (SDS), the Strength and Difficulties Questionnaire (SDQ) for internalising/externalising symptoms and the Internet Addiction Test (IAT) to assess the presence and severity of IA. The scores on the SDS were found to be positively associated with IA levels. Furthermore, students exhibiting higher internalising/externalising symptoms, particularly those with traits of attention deficit hyperactivity disorder (ADHD), are more likely to manifest problematic smartphone usage. The implications for screening adolescents more susceptible to developing IA symptoms and for implementing preventive interventions are discussed.

Appetite for distraction? A systematic literature review on customer smartphone distraction

In today’s society, the ubiquitous presence of personal smartphones has led to the phenomenon of, what we call, customer smartphone distraction (CSD). This paper introduces the concept of CSD, which occurs when an internet-connected smartphone competes for a customer’s attention during a consumption goal-oriented task or behavior. Based on a three-stage research process involving a systematic literature review and an expert opinion survey with a multi-disciplinary lens to better understand this phenomenon, we develop a conceptual framework underpinned by Cognitive – Affective Personality System (CAPS) Theory that incorporates the antecedents, contingency variables, and consequences of CSD. Our findings suggest that CSD is a complex phenomenon influenced by both environmental stimuli, such as audio and visual notifications, and internal psychological states, such as boredom and anxiety, which are interdependent factors that contribute to CSD. Interestingly, the absence of environmental stimuli alone may not reduce CSD. To deal with this issue, customers need to take responsibility for their consumption behavior, while businesses, society and policy makers can assist customers through better education and design of mobile device experiences. Overall, we highlight the need for a deeper understanding of CSD and its impact on customer behavior and well-being, and outline implications to assist researchers, practitioners, policy makers and society broadly to deal with CSD.

Body and mind: Decoding the dynamics of pedestrians and the effect of smartphone distraction by coupling mechanical and decisional processes

Pedestrians are able to anticipate, which gives them an edge in avoiding collisions and navigating in cluttered spaces. However, these capabilities are impaired by digital distraction through smartphones, a growing safety concern. To capture these features, we put forward a continuous agent-based model (dubbed ANDA) hinging on a transparent delineation of a decision-making process, wherein a desired velocity is selected as the optimum of a perceived cost, and a mechanical layer that handles contacts and collisions. Altogether, the model includes less than a dozen parameters, many of which are fit using independent experimental data. The versatility of ANDA is demonstrated by numerical simulations that successfully replicate empirical observations in a very wide range of scenarios. These scenarios vary from collision avoidance involving one, two, or more agents, to collective flow properties in unidirectional and bidirectional settings, and to the dynamics of evacuation through a bottleneck, where contact forces are directly accessible. Remarkably, the model is able to replicate the enhanced chaoticity of the flow observed experimentally in ’smartphone-walking’ pedestrians, by reducing the frequency of decisional updates, replicating the digital distraction effect. The conceptual transparency of the model makes it easy to pinpoint the origin of its current limitations and to clarify the singular position of pedestrian crowds amid active-matter systems.

Smartphone Use-Influence on Posture and Gait during Standing and Walking.

Prolonged gaze at a smartphone is characterized by pronounced flexion of the cervical spine and is associated with health risks. In addition, it is suspected that smartphone distraction could lead to gait changes. Therefore, the aim of this study was to detect smartphone-associated postural changes at thoracic and lumbar levels as well as gait changes. Spinal analysis was performed prospectively in 21 healthy men using the DIERS 4Dmotion®Lab in a controlled crossover design to evaluate posture-associated parameters while standing and walking. The examination sequence provided three randomized gaze directions: GN = Gaze Neutral; S1H = Smartphone one-handed; S2H = Smartphone two-handed. Results reveal a higher vertebra prominens (VP)-flexion in S1H (23.8° ± 6.9°; p ≤ 0.001) and S2H (22.4° ± 4.7°; p ≤ 0.001) compared to GN (17.6° ± 3.8°). Kyphosis angles were also different with higher values observed in S1H (58.8° ± 5.8°; p ≤ 0.001) and S2H (61.6° ± 4.9°; p ≤ 0.001) compared to GN (49.1° ± 4.6°). During walking, similar results were observed in kyphosis angles. No differences were observed in gait during smartphone use (p = 0.180-0.883). The study revealed a significantly increased inclination of the lower cervical and thoracic spine during smartphone use. However, the inclination was larger during S2H. Standing or walking conditions did not affect the measurement outcomes. Long-term smartphone use associated with a larger inclination of the cervical and thoracic spine might result in increased pressure and shear forces acting on vertebral bodies, intervertebral discs, and muscles, which potentially increases the risk of spinal pain and disease.

Modeling the Influence of Smartphone Distraction and Pedestrian Characteristics on Pedestrian Road Crossing Behavior

With the increase in the use of technology, smartphone distraction has become a significant pedestrian safety issue. Research on pedestrian smartphone distraction has been conducted mainly in western countries, and there is a scarcity of research in low- and middle-income countries (LMICs). This study is the first attempt to investigate the effect of smartphone distraction on pedestrians’ road crossing behavior in India. We conducted a survey of pedestrians, with 560 respondents (63.4% males), about their demographics and walking characteristics, pedestrian behavior (violations, errors, lapses, aggressive behaviors, and positive behaviors), and smartphone distraction. The associations of smartphone distraction and pedestrian characteristics with pedestrians’ road crossing behavior were identified by developing structural equation models (SEMs). The strongest influence of smartphone distraction was found to be on violations (factor loading = 0.50), followed by errors (factor loading = 0.44), lapses (factor loading = 0.41), and aggressive behaviors (factor loading = 0.37). No significant effect of smartphone distraction was observed on the positive behaviors. Male pedestrians were more likely to commit violations, errors, lapses, and aggressive behaviors, whereas female pedestrians showed more positive behaviors. Older pedestrians showed more positive behavior than young pedestrians. Pedestrians who walk at high speeds tend to engage in a high number of violations. Pedestrians with a crash history were more likely to commit violations and show aggressive behaviors than those with no prior crash experience. The study findings can aid policymakers in understanding the smartphone distraction habits of pedestrians, which are required to design behavior-based road safety interventions.

Smartphone Distraction: Italian Validation of the Smartphone Distraction Scale (SDS).

This work aimed to validate the use of the Smartphone Distraction Scale (SDS) in Italy. The SDS was devised to assess distraction related to smartphone use in adult populations. A cross-sectional study was conducted among n = 609 adults (females = 76.4%; mean age = 30.26; SD age = 9.90). An assessment of the factorial structure of the Italian version was carried out using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The four factors identified by Throuvala and colleagues were confirmed (i.e., attention impulsiveness, online vigilance, multitasking and emotion regulation). Reliability was assessed using Cronbach's alpha coefficient (0.703-0.889). The scale's scores showed significant linear correlations with validated instruments, including the Mobile Phone Problematic Use Scale (MPPUS)and the Cognitive Failures Questionnaire (CFQ). A multivariate analysis of variance showed significant differences in the means among participants belonging to different age groups (born before 1995 vs. born after 1996). In summary, the good psychometric properties observed led us to assume that this instrument can be applied and used in Italian studies to assess the cognitive dimension of distraction related to the use of smartphones.

How to Improve Student’s Learning Interest? The Role of Learning Media Variation and Smartphone Distraction

This study aimed to examine the influence of learning media variation and smartphone distractions towards students' learning interests. The research approach is quantitative research. The population of this study were 461 students from Stella Duce 2 Yogyakarta High School. The sample in this study were 233 students who were taken by purposive sampling technique. Data were collected from March to April 2023 using a questionnaire that was adopted by prior research and analyzed using a multiple regression analysis. The results of this study showed that: 1) there is a positive influence of learning media variation towards student’s learning interest, 2) there is a negative influence of smartphone distraction towards student’s learning interest.

How to Improve Student's Learning Interest? The Role of Learning Media Variation and Smartphone Distraction

How to Improve Student's Learning Interest? The Role of Learning Media Variation and Smartphone Distraction

The Internet, the Problem of Socialising Young People, and the Role of Religious Education

Alongside the declining religiosity of young Slovenians, there is a growing loneliness among young people. When young people are not motivated or do not have the opportunity to engage in social activities in their free time, they look elsewhere for substitutes. In our study, we highlight the problems young people face with their loneliness, their excessive use of the internet, their low involvement in social activities, and their high tolerance for smartphone distraction. Religious education in Catholic grammar schools in Slovenia plays an important role not only in providing religious content, but also in empowering adolescents to take a critical view of the world, and to actively engage young people in society.

Turkish adaptation of the Smartphone Distraction Scale (SDS)

The aim of this study is to adapt the Smartphone Distraction Scale to Turkish and to examine its psychometric properties. The participants of the study consisted of a community sample of 399 people, 288 (72.2%) women and 111 (27.8%) men, aged between 18-60 (27.14±10.89). In data collection, Sociodemographic Form (SF), Smartphone Distraction Scale-Turkish Version (SDS), Bergen Social Media Scale (BSMS), Emotion Regulation Questionnaire (ERQ), Current Symptoms Scale (CSS), and Perceived Multitasking Scale (PMS) were used. The data were analyzed through Cronbach alpha internal consistency coefficient, Pearson product-moment correlation test, item-total score correlation coefficients, confirmatory factor analysis to estimate the construct validity of the scale. Considering the internal consistency reliability of the scale, the Cronbach alpha reliability coefficient was found to be .88 for attention/impulsivity, .80 for alertness, .76 for multitasking, and .76 for emotion regulation. The item and total score correlation coefficients of the scale items were found to be between 0.49 and 0.76. Confirmatory factor analysis supported the 16-item and four-factor structure of the scale. The correlation of SDS with BSMAS, ERQ, CSS, and PMS was found to be statistically significant. The results of the research show that the SDS adapted to Turkish culture is a valid and reliable measurement tool that can be used in academic studies and clinical settings.

Psychometric Properties of the Smartphone Distraction Scale in Chinese College Students: Validity, Reliability and Influencing Factors.

AimThe objective of this study was to evaluate the Chinese version of the Smartphone Distraction Scale (C-SDS), which is an easy-to-use tool for screening the risk of smartphone distraction in Chinese college students.MethodsThe C-SDS, Smartphone Addiction Scale - Short Version (SAS-SV), Fear of Missing Out scale (FoMO) and Metacognition about Smartphone Use Questionnaire (MSUQ) were used in a sample of 1,002 Chinese college students to test smartphone distraction and its influencing factors. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to test measurement properties and factor structures of the C-SDS. Multi-variable linear regressions examined the relationships of sex, age, education level, the purpose of using a smartphone, usage of smartphone (hours per day), fear of missing out, smartphone addiction and positive and negative metacognitions about smartphone use with the C-SDS.ResultsThe EFA showed a 3-factor structure, which consisted of attention impulsiveness, multitasking and emotion regulation. The CFA showed that the 3-factor demonstrated an overall better model fit (RMSEA = 0.07, SRMR = 0.05, CFI = 0.94, TLI = 0.93). The C-SDS showed internal consistency (Cronbach’s α = 0.88, McDonald’s Omega ω = 0.88). Findings included that negative metacognition about smartphone use was most correlated with the C-SDS (b = 0.73; p < 0.001). Smartphone addiction, positive metacognition about smartphone use and fear of missing out also correlated with the C-SDS (b = 0.66, p < 0.001; b = 0.53, p < 0.001; b = 0.40, p < 0.001, respectively). The study shows that males compared to females (b = –1.65; p = 0.003), had a higher C-SDS score.ConclusionThe C-SDS was valid and reliable for assessing the distraction of using smartphones in the Chinese context. Being female, the purpose of using a smartphone, smartphone usage (hours per day), fear of missing out, smartphone addiction and positive and negative metacognitions about smartphone use were positively correlated to the C-SDS.

The relationships between smartphone distraction, problematic smartphone use and mental health issues amongst a Chinese sample

ABSTRACT Smartphone distraction (SD) has been reported as an important factor associated with problematic smartphone use (PSU). The present study explored the relationship between SD, PSU, and mental health problems using the newly developed Smartphone distraction Scale (SDS). A total of three hundred and twenty smartphone users (Mage = 20.30, SD = 1.67) completed a questionnaire that comprised psychometric scales for the aforementioned variables. Results showed that SD was significantly correlated with PSU, anxiety, depression and stress. PSU fully mediated the relationships from SD to anxiety and depression. PSU partially mediated the relationship between SD and stress. The four-factor SDS was reliable and obtained good model fit in confirmatory factor analysis. This study suggests that being distracted by smartphone use can be associated with mental health issues while the level of PSU might be the bridge of this link. The present study is one of very few studies to examine SD in China, which aimed to investigate the relationships between SD, PSU and mental health issues (stress, anxiety and depression), and adopt the newly developed SDS in the Chinese context. Further studies are needed to explore the complex mechanism between SD and mental health.

Effect of Smartphone Distractions on Cognitive Performance in Adolescents: An Electroencephalography Approach

Introduction: The dependence on smartphones has become widespread among all age groups in every realm of daily life. There has been increased concern about the adverse effects of problematic smartphone use and media multitasking among adolescents. Recent studies used various performance measures like questionnaire surveys to examine the association between smartphone addiction and learning performance, and such studies have yielded mixed findings. The current study investigates the effects of media multitasking on cognitive performance using Electroencephalography (EEG) features and a self-report questionnaire survey. Methods: The patterns of smartphone use among adolescents in South India were investigated in this study, using a questionnaire survey. Further, the impact of smartphone usage on cognitive task performance was examined using EEG features. For this, EEGs of twenty-two healthy subjects were recorded during learning tasks before and after using a social networking site on smartphones. Subsequently, various EEG features were extracted, including ratios of wavelet decomposed EEG bands, attention index, and Sample entropy. Finally, these cognitive performance indices were evaluated and compared with a control group. Results: A total of 600 healthy individuals (341 males, 259 females) participated in the survey among whom, 310 (50.91%) belonged to the high-user group. Performance degradation (p=0.005), sleep problems (p=0.040) and mental stress (p=0.049) were more prevalent among the high-user group. A significant decline in EEG-based cognitive performance indices was also observed in the phone-use group compared to the control group. Conclusion: The findings of this study highlight the importance of controlling phone use when engaged in cognitive tasks. The study also offers an insight to develop neurofeedback techniques that enhance cognitive skills.