Bad vibrations? Cell phone dependency predicts phantom communication experiences

Parental phubbing, problematic smartphone use, and adolescents' learning burnout: A cross-lagged panel analysis

BACKGROUND

Parental phubbing is defined as the phenomenon that parents ignore their children when they are paying more attention to smartphones. The present study aimed to test bidirectional relationships among parental phubbing, problematic smartphone use, and learning burnout. We also extended previous studies to examine the mediating role of problematic smartphone use in the relationship between parental phubbing and learning burnout.

METHODS

Using a cross-lagged panel model, we recruited 2260 Chinese adolescents (50.35 % girls, M_age = 12.76, SD = 0.58 at baseline) across two years. Descriptive statistics, a cross-lagged panel analysis, a mediation model, and a multiple group analysis were estimated in the current study.

RESULTS

Parental phubbing was associated with problematic smartphone use, and there were bidirectional associations between problematic smartphone use and learning burnout as well as between parental phubbing and learning burnout. Problematic smartphone use significantly mediated the relationship between parental phubbing and learning burnout. There were no gender differences among parental phubbing, problematic smartphone use, and learning burnout.

LIMITATIONS

The current study only used two-time points to measure variables. Additionally, this study measured adolescents' perceived parental phubbing instead of the actual phubbing behavior.

CONCLUSION

It is important to consider the influences of parental phubbing in order to decrease adolescents' problematic smartphone use and learning burnout. Furthermore, there is a vicious circle between PSU and learning burnout. Interventions need to reduce problematic smartphone use and learning burnout simultaneously.

Exploring digital natives' mobile addiction syndrome in Taiwan: psychological issues and beyond

Purpose

This study seeks to explore digital natives' mobile usage behaviors and, in turn, develop an analytic framework that helps articulate the underlying components of mobile addiction syndrome (MAS), its severity levels and mobile usage purposes.

Design/methodology/approach

The investigation adopts a survey method and a case study. The results of the former are based on 411 random classroom observations and 205 questionnaire responses, and the insights of the latter are derived from 24 interviews and daily observations.

Findings

The findings validate five distinctive signs that constitute MAS and their significant correlations with each of the Big Five personality traits. Classroom observations confirm the prevalence of addiction tendency among digital natives in the research context. Seven levels of MAS and six different mobile usage purposes further manifest themselves from case analysis. There appears to be a sharp contrast between the addicted and non-addicted groups in their mobile purposes and behavioral patterns. Additionally, family relationships seem influential in shaping non-addictive mobile usage behaviors.

Research limitations/implications

Psychological perspectives on MAS may be important but insufficient. Empirical investigation on a global scale, especially with distinctive cross-cultural comparisons, will be highly encouraged. How MAS evolves over time should also serve as future research interests.

Practical implications

Teaching pedagogy of college education might need certain adjustments to intrigue digital natives' learning interests. Future managers might also need to adopt better performance measurements for digital natives who barely separate work from personal matters in their mobile devices.

Social implications

Parents and healthcare institutions may need to develop response mechanism to tackle this global issue at home and in society. The long-term effects of the COVID-19 pandemic on MAS might also deserve global attention.

Originality/value

The analytic framework developed provides an original mechanism that can be valuable in identifying MAS severity and associated behavioral patterns.

Exploring the Emotional Experience During Instant Messaging Among Young Adults: An Experimental Study Incorporating Physiological Correlates of Arousal

Instant messaging (IM) is a highly diffused form of communication among younger populations, yet little is known about the emotional experience during IM. The present study aimed to investigate the emotional experience during IM by drawing on the Circumplex Model of Affect and measuring heart rate and electrodermal activity as indicators of arousal in addition to self-reported perceived emotional valence. Using an experimental design, we manipulated message latency (i.e., response after 1 min versus 7 min) and message valence (positive versus negative response). Based on data collected from 65 young adults (50% male; M_age = 23.28, SD = 3.75), we observed arousal as participants’ electrodermal activity levels increased from the time a fictitious peer started typing a response to the receipt of that response, especially in the delayed condition. Electrodermal activity levels also increased in both the positive and the negative message conditions. No changes were observed for heart rate. Participants’ self-report perceived emotional valence revealed that positive messages were evaluated as more pleasant and the peer as more available, while no difference in the self-report was found for message latency. These findings shed light on the emotional experience during IM by adding valuable insights on the physiological processes underlying the anticipation of social reward, but only during delayed IM exchange that can be observed in Human–Computer-Interaction.

The association between the Big Five personality traits and smartphone use disorder: A meta-analysis

BACKGROUND AND AIMS

Personality is one of the most frequently investigated variables to shed light on the putatively addictive use of the smartphone. By investigating associations between personality and individual differences in addictive smartphone use, researchers aim to understand if some personality traits predispose technology users to develop addictive behaviors. Here, based on existing empirical literature, we aimed at determining the strength of associations between Big Five personality traits and smartphone use disorder (SmUD) by a meta-analytic approach.

METHOD

For each Big Five personality trait, we performed a meta-analysis of correlations representing their association with SmUD. We also investigated possible publication bias and the moderating effects of age, gender, nationality, length of personality assessments, and time of publication.

RESULTS

We found n = 26 eligible studies. In line with both the Interaction of Person-Affect-Cognition-Execution (I-PACE) model and the framework on problematic mobile-phone use by Billieux, we observed a positive association between Neuroticism and SmUD (r = 0.25), while the association between Extraversion and SmUD was not significant. Partially in line with the aforementioned theoretical frameworks, Conscientiousness was negatively associated with SmUD (r = -0.16). Remaining traits showed smaller associations. No significant publication bias emerged. Moderator analyses showed that time of publication moderated the link between Conscientiousness and SmUD. Moreover, Agreeableness and Conscientiousness showed a heightened inverse association with SmUD among older samples.

CONCLUSIONS

The present meta-analysis provides robust empirical evidence that Big Five personality traits can help to understand individual differences in SmUD, supporting the usefulness of their assessment when planning and targeting interventions aimed at at-risk individuals.

Text-Message Dependency, Executive Function, and Impulsivity in College Students: A Cluster Analysis

This study examined whether text-message users would differ in levels of executive function, a trait of impulsivity, and impulsive decision making. A sample of 167 college students (57 percent of whom were female and the mean age was 19.9 years with the standard deviation of 4.1) participated. Using a hierarchical cluster analysis with levels of text-message dependency, the participants were grouped into excessive and dependent users (dependent users), excessive but nondependent users (excessive users), or nonexcessive and nondependent users (normal users). The groups were then compared on the extent to which they differed in levels of executive function, impulsivity, and impulsive decision making. The results showed that, relative to excessive users, dependent users were lower on levels of executive function and higher on levels of the trait of impulsivity. The moderating effects of gender on these differences were also examined, but gender did not significantly moderate the differences. This study demonstrated that excessive text-message users are not necessarily dependent text-message users and executive function and impulsivity may play an important role in differentiating the two types of users.

A cluster analysis of text message users based on their demand for text messaging: A behavioral economic approach

The goal of this study was to determine whether cluster analysis could be used to identify distinct subgroups of text message users based on behavioral economic indices of demand for text messaging. Cluster analysis is an analytic technique that attempts to categorize cases based on similarities across selected variables. Participants completed a questionnaire about mobile phone usage and a hypothetical texting demand task in which they indicated their likelihood of paying an extra charge to continue to send text messages. A hierarchical cluster analysis was conducted on behavioral economic indices, such as demand intensity, demand elasticity, breakpoint, and the maximum expenditure. With the cluster analysis, we identified 3 subgroups of text message users. The groups were characterized by (a) high intensity and low elasticity, (b) high intensity and medium elasticity, and (c) low intensity and high elasticity. In a demonstration of convergent validity, there were statistically significant and conceptually meaningful differences across the subgroups in various measures of mobile phone use and text messaging. Cluster analysis is a useful tool for identifying and profiling distinct, practically meaningful groups based on behavioral indices and could provide a framework for targeting interventions more efficiently.

Getting Your Hands Dirty Outside the Lab: A Practical Primer for Conducting Wearable Vibrotactile Haptics Research

As haptics have become an ingrained part of our wearable experience, particularly through phones, smartwatches, and fitness trackers, significant research effort has been conducted to find new ways of using wearable haptics to convey information, especially while we are on-the-go. In this paper, instead of focusing on aspects of haptic information design, such as tacton encoding methods, actuators, and technical fabrication of devices, we address the more general recurring issues and "gotchas" that arise when moving from core haptic perceptual studies and in-lab wearable experiments to real world testing of wearable vibrotactile haptic systems. We summarize key issues for practitioners to take into account when designing and carrying out in-the-wild wearable haptic user studies, as well as for user studies in a lab environment that seek to simulate real-world conditions. We include not only examples from published work and commercial sources, but also hard-won illustrative examples derived from issues and failures from our own haptic studies. By providing a broad-based, accessible overview of recurring issues, we expect that both novice and experienced haptic researchers will find suggestions that will improve their own mobile wearable haptic studies.

How does self-esteem affect mobile phone addiction? The mediating role of social anxiety and interpersonal sensitivity

Low self-esteem is an important factor influencing mobile phone addiction, which has been well documented. However, little research focused on the mechanism underlying the association between self-esteem and mobile phone addiction. We hypothesized that social anxiety and interpersonal sensitivity may mediate the relationship between self-esteem and mobile phone addiction. Six hundred and fifty three (353 girls among them) college students with the mean age of 19.94 (SD = 1.34) were recruited for the study. Participants completed mobile phone addiction scale, Rosenberg self-esteem scale, the social anxiety questionnaire and interpersonal sensitivity subscale of SCL-90. The findings were as follows: 1) interpersonal sensitivity mediated the relation between self-esteem and mobile phone addiction. 2) social anxiety and interpersonal sensitivity sequentially mediated the relation between self-esteem and mobile phone addiction. The result reveals that self-esteem has indirect effect on mobile phone addiction, which is mediated by social anxiety and interpersonal sensitivity.

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

The purpose of this study was to carry out a review of observational studies that consider links between mobile phone use and mental health from a psychological or behavioral perspective. Systematic literature searches in PubMed and PsycINFO for articles published until 2017 were done. Exclusion criteria included: papers that considered radiofrequency fields, attention, safety, relational consequences, sexual behavior, cyberbullying, and reviews, qualitative, and case or experimental studies. A total of 4738 papers were screened by title and abstract, 404 were retrieved in full text, and 290 were included. Only 5% had any longitudinal design. Self-reporting was the dominating method of measurement. One third of the studies included children or youth. A majority of adult populations consisted of university students and/or self-selected participants. The main research results included associations between frequent mobile phone use and mental health outcomes, such as depressive symptoms and sleep problems. Mobile phone use at bedtime was associated with, e.g., shorter sleep duration and lower sleep quality. "Problematic use" (dependency) was associated with several negative outcomes. In conclusion, associations between mobile phone use and adverse mental health outcomes are found in studies that take a psychological or behavioral perspective on the exposure. However, more studies of high quality are needed in order to draw valid conclusions about the mechanisms and causal directions of associations.