What type of content are smartphone users addicted to?: SNS vs. games

Based on a sample of 944 respondents who were recruited from 20 elementary schools in South Korea, this research surveyed the factors that lead to smartphone addiction. This research examined the user characteristics and media content types that can lead to addiction. With regard to user characteristics, results showed that those who have lower self-control and those who have greater stress were more likely to be addicted to smartphones. For media content types, those who use smartphones for SNS, games, and entertainment were more likely to be addicted to smartphones, whereas those who use smartphones for study-related purposes were not. Although both SNS use and game use were positive predictors of smartphone addiction, SNS use was a stronger predictor of smartphone addiction than game use.     

Is the smartphone a smart choice? The effect of smartphone separation on executive functions

Despite a huge spike in smartphone overuse, the cognitive and emotional consequences of smartphone overuse have rarely been examined empirically. In two studies, we investigated whether separation from a smartphone influences state anxiety and impairs higher-order cognitive processes, such as executive functions. We found that smartphone separation causes heightened anxiety, which in turn mediates the adverse effect of smartphone separation on all core aspects of executive functions, including shifting (Experiment 1) and inhibitory control and working-memory capacity (Experiment 2). Interestingly, impaired mental shifting was evident regardless of the extent of smartphone addiction, whereas smartphone addiction significantly moderated the negative effect of smartphone separation on inhibitory control, as assessed by the Stroop task. The study sheds light on cognitive mechanisms that may underlie some of these negative consequences of smartphone overuse.     

Smartphone addiction and its relationship with social anxiety and loneliness

Individuals with psychosocial problems such as social phobia or feelings of loneliness might be vulnerable to excessive use of cyber-technological devices, such as smartphones. We aimed to determine the relationship of smartphone addiction with social phobia and loneliness in a sample of university students in Istanbul, Turkey. Three hundred and sixty-seven students who owned smartphones were given the Smartphone Addiction Scale (SAS), UCLA Loneliness Scale (UCLA-LS), and Brief Social Phobia Scale (BSPS). A significant difference was found in the mean SAS scores (p?<?.001) between users who declared that their main purpose for smartphone use was to access social networking sites. The BSPS scores showed positive correlations with all six subscales and with the total SAS scores. The total UCLA-LS scores were positively correlated with daily life disturbance, positive anticipation, cyber-oriented relationship, and total scores on the SAS. In regression analyses, total BSPS scores were significant predictors for SAS total scores (β?=?0.313, t?=?5.992, p?<?.001). In addition, BSPS scores were significant predictors for all six SAS subscales, whereas UCLA-LS scores were significant predictors for only cyber-oriented relationship subscale scores on the SAS (β?=?0.130, t?=?2.416, p?<?.05). The results of this study indicate that social phobia was associated with the risk for smartphone addiction in young people. Younger individuals who primarily use their smartphones to access social networking sites also have an excessive pattern of smartphone use.     

Cross-generational analysis of predictive factors of addictive behavior in smartphone usage

Smartphone addiction has been widely researched in recent years, and the effects of various demographic, personality-linked, psychological, and emotional variables, have been found. Our research goal was to examine this phenomenon from the cross-generational perspective and compare the factors that can predict smartphone addiction for different age groups. We conducted a study with 216 Israeli smartphone users, representing three generations of smartphone users: Generation X, Generation Y, and Generation Z, who filled in an 80-item questionnaire. The factors examined included the social environment pressure to use smartphone, emotional gain from smartphones, personality, daily usage time, various mobile apps and user needs. The main finding of the study is that a significantly higher level of addictive behavior was found for Generation Y compared to the other two generations. The strongest predictive factors in the computed hierarchical regression model for all three generations were social environment pressure and emotional gain. Interestingly, emotional gain from smartphone use, which reflects users' enjoyment and positive emotions along with relief of negative emotions and psychological states, was significantly higher for generation Z than for the older generations. In addition, neuroticism and the daily usage time appeared as predictive factors for the younger generations, and for Generation Z alone the WhatsApp app usage was found as a significant predictive factor as well. This study contributes to understanding the factors of smartphone addictive behavior for different generations, which might lead to more effective educational measures and explanatory campaigns on technology effects on psychological well-being.     

Smartphone Addiction Inventory (SPAI): Psychometric properties and confirmatory factor analysis

The Smartphone Addiction Inventory (SPAI) was developed to assess smartphone addiction in Taiwanese university students. The purpose of the current research is to evaluate the factor structure and psychometric properties of the SPAI in Italian university students. A total of 485 university students (29.3% boys) completed the SPAI and the Young’s Internet Addiction Test (IAT).The proposed four-factor model of the SPAI-I was tested by computing CFA, and the results of the goodness of fit indices indicated an ambiguous solution. An exploratory-confirmatory cross validation strategy was applied for a better trimming of SPAI-I factorial structure. Results suggested a five-factor solution that explained 53% of the total variance (Time Spent, Compulsivity, Daily Life Interference, Craving, and Sleep Interference). Excellent internal consistency and five factor correlations were reported for the SPAI-I. This five-factor model showed good convergent validity with the Internet Addiction Disorder Test. Considering that evidence shows that overuse of a smartphone can be associated with adverse and problematic effects, the SPAI-I should be useful for determining its potential for the use in future research in Europe and for comparing the evaluation of smartphone overuse of young European people with other international Asiatic studies that have incorporated the SPAI.     

Understanding student simultaneous smartphone use in learning settings: A conceptual framework

Smartphone use in learning settings is a common behaviour amongst college students. Building on the theory of consumerism, self-efficacy and addictive behaviours, the current study developed a three-component conceptual framework to understand college students' smartphone use in organizational as well as self-directed learning settings. One thousand and thirty-three students in Shenzhen completed an online survey that measured their frequency of using smartphones in learning settings, motivation for using smartphones in learning settings, behavioural control self-efficacy, smartphone use time, problematic smartphone use, multitask habit and impulsiveness. Regression and configurational analytical approaches were used to examine linear and nonlinear relationships. Results support the use of the proposed framework to explain students' smartphone use behaviour in learning settings.     

Differential innovation of smartphone and application use by sociodemographics and personality

In the current study, we explore predictors of smartphone and smartphone application use in a large, diverse, population representative South Korean sample (N = 9482). Sociodemographics (e.g., gender, age, education, and income) were major predictors of smartphone and smartphone application use. Generally, younger, educated, and wealthy individuals tended to use smartphones and smartphone applications to a greater extent. Females tended to use smartphones, e-commerce applications, and relational applications more compared to males. Openness, extraversion, and conscientiousness were associated with increased probability of smartphone ownership. Extraversion was associated with decreased literacy application use and increased relational application use. Conscientiousness was associated with decreased e-commerce application use. These results imply that sociodemographics and personality predict smartphone innovation.     

Ownership versus on-campus use of mobile IT devices by university students

This study investigated ownership and on-campus use of laptops, tablets, and smartphones, using survey information on Dutch university students. We show that 96% of students own at least one of these mobile IT devices (i.e., a laptop, tablet, or smartphone). Using econometric modelling, we also show that student income, parental income, gender, immigrant parents, and household type (e.g., living with parents) have a statistically significant but small effect on mobile IT device ownership. The demand for tablets is relatively income inelastic, and the demand for laptops and smartphones extremely so. Therefore ownership rates are high for all student groups, including lower income students. However, students leave their laptops (and tablets) at home most of the time, mainly because they find it cumbersome to carry a laptop, and the vast majority of students hold the opinion that abolishing computer labs while facilitating laptop use is a bad idea, despite the didactical advantages this may have during lectures. Thus, it appears that the current high ownership rates of mobile IT devices by no means imply students' preference or support for university Bring Your Own Device (BYOD) strategies.     

Personal information retrieval: smartphones vs. computers,emails vs. files

Millions of people retrieve their emails and files using their smartphones, yet smartphone retrieval of such personal information has never been studied or compared to retrievals from PCs. In our within-subjects study, we compared the retrievals of our 57 participants in four conditions: files using PCs, emails using PCs, files using smartphones, and emails using smartphones. Our results indicate that when using smartphones, retrievals were significantly less successful and efficient than when using PCs, casting doubt on the implicit assumption that the use of these devices is equivalent. Our results also indicate that participants used the search facility for emails about seven times more than for files, which can encourage vendors to invest more efforts in improving email search engines and file navigation systems. Finally, we found that the tendency to search shows interpersonal differences but consistency across different situations for the same individual and therefore can be regarded as a personal trait. Future research can attempt to explain the search tendency trait in terms of cognitive abilities and personality traits, incorporating it to well-established theories. This may pave the way to a new trait-related theory in the field of information science.     

Modelling smartphone addiction: The role of smartphone usage,self-regulation,general self-efficacy and cyberloafing in university students

The present study investigates the roles of smartphone usage, self-regulation, general self-efficacy and cyberloafing in smartphone addiction. We conducted an online survey which received responses from 598 participants attending a public university in Ankara, Turkey. The results showed that both the duration of smartphone usage and cyberloafing positively affected smartphone addiction. The effect of self-regulation on smartphone addiction was negative and significant. In addition, neither self-regulation nor general self-efficacy had an effect on cyberloafing. Research results are discussed within the context of the effect of smartphone addiction on learning environments and individuals.     

Relationship analysis between body flexion angles and smartphone tilt during smartphone use

Although smartphones are used as essential devices in everyday life, many users are exposed to joint diseases owing to prolonged use. The objectives of this study were to analyze how posture and smartphone tasks affect various body flexion angles and develop an algorithm to classify posture/task and estimate body flexion angles using smartphone tilt data. Eighteen participants performed two tasks (playing a game and reading news) in two postures (sitting and standing) in a laboratory environment. The three-axis orientation data (azimuth, pitch, and roll) of the smartphone and the participants’ body flexion angles were measured simultaneously. This study found that the cervical, thoracic, lumbar, and overall flexion angles were all statistically significantly different depending on the posture of the smartphone user, and the cervical flexion angle was significantly different depending on the task. Furthermore, task and task × posture can be classified with high accuracy based on smartphone tilt data, and tilt data had a high correlation with body flexion angles. Relevance to industry: The results of this study can be used as a reference for designing various products and interfaces for neck health. The results can be applied as a smartphone alarm or a built-in application, which can inform the user of the need to stretch his or her neck.     

The dark side of smartphone usage: Psychological traits,compulsive behavior and technostress

Smartphones have become necessities in people’ lives. Along with its obvious benefits, however, the smartphone has other effects that are not all that glorious. This study investigates the dark side of the smartphone trend. We examine the link between psychological traits and the compulsive behaviors of smartphone users, and look further into the stress caused by those compulsive behaviors. We conducted an empirical study consisting of 325 participants and compared Structural Equation Modeling with competing models. The results suggest that compulsive usage of smartphone and technostress are positively related to psychological traits including locus of control, social interaction anxiety, materialism and the need for touch. Gender differences are also found in the aforementioned relationships. The results have practical implications to user-oriented smartphone design and operation companies as well as government agencies as they combat the social ills brought on by smartphones.     

Relationships among smartphone addiction,anxiety, and family relations

Smartphones have become ubiquitous in people’s lives to an extent that necessitates the investigation of their negative impact. The scarcity of such investigations triggered our interest in examining the relationships among smartphone addiction, anxiety, and family relations. A total of 381 university students participated in an online survey composed of demographic information, the Smartphone Addiction Scale – Short Version, and the Beck Anxiety Inventory. Binary logistic regression analysis and structural equation modelling showed that undergraduate students who had smartphone addiction demonstrated greater odds of having high anxiety compared to those who were not addicted, and students who had high anxiety exhibited greater odds of having clinically significant problems in their family relations. Nevertheless, path analysis showed that anxiety mediated a positive relationship between smartphone addiction and problematic family relations.     

Linking head and neck posture with muscular activity and perceived discomfort during prolonged smartphone texting

Prolonged use of the smartphone for texting was studied on a sample of 17 healthy young adult participants (11 females), who were asked to type interactively on a handheld device while standing and sitting. Upper body kinematics ad upper trapezius surface EMG were recorded to capture parameters of joint kinematics and muscular activity, which were then compared with self-reported indicators of discomfort through the Borg's CR 10 scale questionnaire. The results indicated that, while showing a similar postural strategy in both conditions that is assumed to be controlled by the visual system to maintain a constant viewing distance from the device, the participants adopted a “stiffer” posture of the head and neck during standing than when sitting, with a direct correlation between upper trapezius muscle activity, neck angle and perceived discomfort. The evidence obtained in this study highlights the importance of monitoring muscle activity and head and neck kinematics, to assess the biomechanical risk factors of neuromuscular disorders associated with smartphone overuse.     

An empirical analysis of smartphone personalisation: measurement and user variability

The present report is an empirical analysis of smartphone personalisation. We collected data from two groups of users to measure how they adapt the content, interface and physical appearance of their devices. This user-driven personalisation is measured with a simple heuristic approach to quantify the behaviour. Using these scores, we explore how users differ from each other in how they personalise their smartphones with a focus on gender differences, usability and device usage in the wild. Among our findings are that not all users personalise their smartphones, females and males personalise their iPhones differently, and those who personalised their phones more tended to rate it as more usable. The users who personalised more also used their device for greater periods of time on a broader range of applications. For instance, individuals who adapted their iPhones to a greater degree also accessed the Web more often and spent more time browsing once it was accessed. We conclude with a discussion of possible factors underlying the large user diversity of smartphone personalisation found in this research.     

The Media and Technology Usage and Attitudes Scale: An empirical investigation

Current approaches to measuring people’s everyday usage of technology-based media and other computer-related activities have proved to be problematic as they use varied outcome measures, fail to measure behavior in a broad range of technology-related domains and do not take into account recently developed types of technology including smartphones. In the present study, a wide variety of items, covering a range of up-to-date technology and media usage behaviors. Sixty-six items concerning technology and media usage, along with 18 additional items assessing attitudes toward technology, were administered to two independent samples of individuals, comprising 942 participants. Factor analyses were used to create 11 usage subscales representing smartphone usage, general social media usage, Internet searching, e-mailing, media sharing, text messaging, video gaming, online friendships, Facebook friendships, phone calling, and watching television in addition to four attitude-based subscales: positive attitudes, negative attitudes, technological anxiety/dependence, and attitudes toward task-switching. All subscales showed strong reliabilities and relationships between the subscales and pre-existing measures of daily media usage and Internet addiction were as predicted. Given the reliability and validity results, the new Media and Technology Usage and Attitudes Scale was suggested as a method of measuring media and technology involvement across a variety of types of research studies either as a single 60-item scale or any subset of the 15 subscales.     

Activity in neck-shoulder and lower arm muscles during computer and smartphone work

Relevance to industryThere is emerging evidence of musculoskeletal problems related to smartphone work and a rapid transition to mobile workplaces, where smartphones are key working tools. Aim: The study's aim was to compare muscle activity during computer work with smartphone work and to see what possible effects ergonomic recommendations for smartphone usage have on muscle activity.MethodsActivity was measured bilaterally from the upper trapezius muscle and from lower arm muscles on the right hand side, on twelve participants with surface electromyography who performed e-mail work on the computer using ergonomic recommendations, smartphone in a self-chosen way of working and on smartphone with ergonomic recommendations. Effects on productivity was not assessed in this study.ResultsActivity in m. trapezius and m. extensor digitorum was significantly higher during computer work (p < 0.05) than during the two smartphone usages and activity in m. interossei dorsalis 1 was, vice versa, significantly higher during smartphone work (p < 0.05). Comparison of smartphone in self-chosen way of working and smartphone with ergonomic recommendations showed no significant differences.ConclusionsPrevious research has highlighted the benefits of variation of work postures. This paper indicates that replacing the computer with a smartphone gives the trapezius muscle an opportunity to rest.     

Using event related potentials to investigate visual aesthetic perception of product appearance

Visual aesthetic directly affects the user's purchase decision and results from the user's analysis and judgment after perceiving product appearance. Therefore, understanding the neural mechanisms of visual experience is critical for product design. This study combined subjective evaluation with ERPs (event‐related potentials) to investigate the user's aesthetic experience as evoked by smartphones. A visual aesthetic scale was constructed, and the results from the questionnaire were used to verify the reliability of the aesthetic scale. Before the ERPs experiment was constructed, smartphones were divided into higher visual aesthetic and lower visual aesthetic based on subjective evaluation according to the aesthetic scale. An amended oddball paradigm was then used in the ERPs experiment. Landscapes were presented as rare targets, while smartphone pictures were presented as frequent nontarget stimuli. The ERPs were then averaged separately for each aesthetic type. Two negative components were recorded and compared with respect to two aesthetic types on the participants’ prefrontal, frontal, and central sites. The smartphone pictures with lower scores of visual aesthetic elicited larger amplitudes of N100/N200 than those with higher scores according to the within‐subjects, repeated‐measures analysis of variance. The exploring of neural responses correlated with visual aesthetic can provide an accurate method of measuring the user's perception and can help marketers know which product gives the user a higher visual aesthetic experience. The difference of ERPs may be taken as an evaluating indicator of product design.     

Mobile touch screen device use and associations with musculoskeletal symptoms and visual health in a nationally representative sample of Singaporean adolescents

This study aimed to describe contemporary technology use, especially smartphones and tablets (mobile touch screen devices), and examine associations with musculoskeletal symptoms and visual health among adolescents in Singapore. A representative sample of 1884 adolescents (50.4% girls) from grades primary 5 to post-secondary (10–18?years old), recruited from 13 schools, completed an online questionnaire in class. Total technology use was high, with smartphone duration being highest (mean?=?264 [SD?=?243] min/day). Patterns of use, including multitasking and bout length, were influenced by gender, school level, type of device and activities. Musculoskeletal discomfort and visual symptoms were commonly reported. After adjusting for potential confounders, more hours/day of smartphone use was associated with increased risk of neck/shoulders, upper back, arms and wrist/hand discomfort (OR?=?1.04[95%CI?=?1.01–1.07] to 1.07[1.03–1.10]) and visual symptoms (OR?=?1.05[1.02–1.08]), but was associated with decreased odds of myopia (OR?=?0.97[0.94–0.99]). No significant associations were found for tablet use.

Practitioner Summary: 1884 adolescents in Singapore completed an in-depth questionnaire regarding their use of technology. The smartphone was the device with the highest usage, and greater smartphone use was associated with increased odds of musculoskeletal and visual symptoms. High use of smartphones has physical health implications for adolescents.     

Designing Motion Gesture Interfaces in Mobile Phones for Blind People

Despite the existence of advanced functions in smartphones, most blind people are still using old-fashioned phones with familiar layouts and dependence on tactile buttons. Smartphones support accessibility features including vibration, speech and sound feedback, and screen readers. However, these features are only intended to provide feedback to user commands or input. It is still a challenge for blind people to discover functions on the screen and to input the commands. Although voice commands are supported in smartphones, these commands are difficult for a system to recognize in noisy environments. At the same time, smartphones are integrated with sophisticated motion sensors, and motion gestures with device tilt have been gaining attention for eyes-free input. We believe that these motion gesture interactions offer more efficient access to smartphone functions for blind people. However, most blind people are not smartphone users and they are aware of neither the affordances available in smartphones nor the potential for interaction through motion gestures. To investigate the most usable gestures for blind people, we conducted a user-defined study with 13 blind participants. Using the gesture set and design heuristics from the user study, we implemented motion gesture based interfaces with speech and vibration feedback for browsing phone books and making a call. We then conducted a second study to investigate the usability of the motion gesture interface and user experiences using the system. The findings indicated that motion gesture interfaces are more efficient than traditional button interfaces. Through the study results, we provided implications for designing smartphone interfaces.