• Title/Summary/Keyword: Smartphone Impact

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An Empirical Study on the Effect of Smartphone Push Notification and SNS Information on the Mobile Purchasing (스마트폰 푸시 알림과 SNS 정보가 모바일 구매에 미치는 영향에 대한 실증분석)

  • Shim, Seonyoung;Kim, Yoensoon
    • Journal of Information Technology Applications and Management
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    • v.22 no.4
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    • pp.105-126
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    • 2015
  • In this study, we investigated the impact of the information richness and reachness on the mobile purchasing and the moderating effect of individual characteristics. We examined the information richness and reachness through SNS information and Push notification of smartphone, respectively. As the moderating variables, we adopted customer's value orientation and innovativeness. In the main-effect model with no moderating variable, both of information richness and reachness showed significant effects on the perceived value of products and purchasing channel. Especially, the impact of information richness was more significant on product awareness, while the impact of information reachness was more significant on channel awareness. In the interaction-effect model with moderating variables, customer's value orientation showed significant moderating effect on the impact of perceived product value. However, customer's innovativeness did not show the significant moderating effect on the impact of perceived channel value. It implies that the impact of information reachness applies to the majority of customers, regardless of her [his] innovativeness. Therefore the organizations might be able to use Push notification to activate the customer's mobile purchasing.

Association between smartphone overdependence and mental health in South Korean adolescents: a secondary data analysis

  • Hyeseon Yun;Eun Kyoung Choi
    • Child Health Nursing Research
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    • v.30 no.2
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    • pp.87-96
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    • 2024
  • Purpose: The rising prevalence of smartphone overdependence among adolescents and its detrimental impact on mental health have become a growing concern. This study aimed to investigate the association between smartphone overdependence and the mental health of Korean adolescents. Methods: Participants were drawn from the 16th Korea Youth Risk Behavior Web-based Survey conducted in 2020. The dependent variable as smartphone overdependence, while the main exposure of interest was mental health, encompassing generalized anxiety disorder (GAD), perceived stress, sources of perceived stress, perceived loneliness, and perceived depressive symptoms. The study employed the Rao-Scott chi-square test and multiple logistic regression using IBM SPSS version 26.0. Results: The participants comprised 54,948 adolescents aged 13 to 18 years. Among them, 25.1% (n=13,775) were categorized as smartphone overdependence group. Specifically, 20.3% of adolescents who reported GAD ≥10 and 22.5% of those who reported experiencing high levels of perceived loneliness were identified as smartphone overdependent. The GAD increased a risk of smartphone overdependence by 2.61 times (95% confidence interval [95% CI]: 2.46-2.77). Perceived loneliness was associated with 1.98-fold (95% CI: 1.87-2.09) increased risk of smartphone overdependence. Additionally, conflict with peers was found to increase the risk of smartphone overdependence by 4.63-fold (95% CI: 3.89-5.52), followed by conflict with parents (odds ratio [OR]: 4.52, 95% CI: 3.84-5.31), and family environment (OR: 4.52, 95% CI: 3.75-5.46). Conclusion: The findings underscore a significant association between smartphone overdependence and mental health in Korean adolescents. Healthcare services to improve their emotional coping and interpersonal skills are necessary.

Influence of Smartphone usage Types and Excessive Expectation for Smartphone on Adolescents' Smartphone Overdependence (스마트폰 사용유형과 스마트폰에 대한 과도한 기대가 청소년의 스마트폰 과의존에 미치는 영향)

  • Bae, Sung-Man
    • Informatization Policy
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    • v.25 no.4
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    • pp.65-83
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    • 2018
  • This study examined the effects of smartphone usage types and excessive expectation for smartphone on adolescents' smartphone overdependence. It utilized the data of 3,454 adolescents (1,758 males and 1,696 females), aged between 13 and 19 from a smartphone overdependence survey of the National Information Society Agency. As a result of the hierarchical multiple regression analysis, age and household income had a negative effect on smartphone overdependence. Weekly smartphone usage time positively affected the serious consequences (sub-factor of smartphone overdependence). Among the different types of smartphone usage, information seeking, SNS, gaming, and the excessive expectation for smartphones had positive impact on smartphone overdependence. Smartphone usage for leisure seeking did not affect smartphone overdependence, but it negatively influenced serious consequences. Messenger use did not affect smartphone overdependence, but the use had a positive effect on salience, and a negative effect on serious consequences. The results of this study suggest that it is necessary to identify the types of smartphone use as well as the usage time to understand the smartphone dependence of adolescents. In addition, it seems necessary to recognize and correct the irrational excessive expectation for smartphone in order to prevent dependence and implement effective interventions.

Cognitive behavioral therapy for college students with smartphone addiction

  • Kim, Deokju
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.29-39
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    • 2021
  • Cognitive behavioral therapy (CBT) is effective for people with an addiction tendency. This study aims to implement a CBT program for college students at high risk of smartphone addiction and investigate the impact of the program on their desire to use a smartphone, depression, impulsivity, and anxiety. Baseline/post-intervention evaluation and the ABA' single-case experimental design were used. The study consisted of the baseline phase (A), pre-evaluation, intervention phase (B), post-evaluation, and baseline phase (A'). Six participants were enrolled, and the main outcome variables were daily changes in the desire to use a smartphone and changes in depression, impulsivity, and anxiety after the program. Prior to the intervention, all six participants had mild to moderate depression, but after the intervention, three were normal, two had mild depression, and only one had moderate depression. Impulsivity and anxiety scores decreased after the intervention, with anxiety scores showing the most dramatic change. The percentage of non-overlapping data for the baseline phase (A)-intervention phase (B) was more than 75% and that for baseline phase (A)-baseline phase (A') was 100% for all 6 participants. This study presented a good protocol for people with low access to psychological therapy. We expect the findings will be highly useful for people suffering from psychological difficulties due to smartphone addiction.

Creating a Smartphone User Recommendation System Using Clustering (클러스터링을 이용한 스마트폰 사용자 추천 시스템 만들기)

  • Jin Hyoung AN
    • Journal of Korea Artificial Intelligence Association
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    • v.2 no.1
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    • pp.1-6
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    • 2024
  • In this paper, we develop an AI-based recommendation system that matches the specifications of smartphones from company 'S'. The system aims to simplify the complex decision-making process of consumers and guide them to choose the smartphone that best suits their daily needs. The recommendation system analyzes five specifications of smartphones (price, battery capacity, weight, camera quality, capacity) to help users make informed decisions without searching for extensive information. This approach not only saves time but also improves user satisfaction by ensuring that the selected smartphone closely matches the user's lifestyle and needs. The system utilizes unsupervised learning, i.e. clustering (K-MEANS, DBSCAN, Hierarchical Clustering), and provides personalized recommendations by evaluating them with silhouette scores, ensuring accurate and reliable grouping of similar smartphone models. By leveraging advanced data analysis techniques, the system can identify subtle patterns and preferences that might not be immediately apparent to consumers, enhancing the overall user experience. The ultimate goal of this AI recommendation system is to simplify the smartphone selection process, making it more accessible and user-friendly for all consumers. This paper discusses the data collection, preprocessing, development, implementation, and potential impact of the system using Pandas, crawling, scikit-learn, etc., and highlights the benefits of helping consumers explore the various options available and confidently choose the smartphone that best suits their daily lives.

Trend analysis for social networking of Smartphone (스마트폰의 소셜 네트워킹의 경향분석)

  • Wonginjun, Montinee;Ryu, Chang-Su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.920-923
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    • 2012
  • Recently, a Smartphone than a normal phone functions for computing ability, connectivity and communication is used as a handheld device, as used in the mobile social networking has been a breakthrough. This advanced Smartphone social networking and social life of the everyday of people living in communication found that many were affected. In this paper, the value of Smartphones and Smartphone users who use social networking to see how any of the benefits and the future of social networking between people on the impact of communications were analyzed.

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Correlation between stress and smartphone addiction in healthcare related university students (보건계열 대학생의 스트레스와 스마트폰 중독 관련성 분석)

  • Kim, Seol-Hee;Choi, Ye-Na
    • Journal of Korean society of Dental Hygiene
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    • v.17 no.1
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    • pp.27-37
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    • 2017
  • Objectives: The purpose of the study is to investigate the correlation between stress and smartphone addiction in some university students. Methods: The subjects were 220 health major students in D area. The study was conducted for 2 weeks, in June, 2016. The questionnaire consisted of general characteristics of the subjects, awareness toward stress, stress-coping pattern, and smartphone addiction. Data was analyzed through SPSS 18.0 program. Results: In the analysis of stress levels according to general characteristics, female group showed higher experience compared to male group (high group 46.10, subgroup 44.38) (p<0.05). Male group and higher stress group showed higher experience in problem solving, social support, and emotional stress coping (p>0.05). Stress and stress coping (r=0.322), stress and smartphone addiction (r=0.299) showed positive correlation. The significant factors of smartphone addiction were average daily using time (${\beta}=0.477$, p<0.001), study stress (${\beta}=0.177$, p<0.05), social stress (${\beta}=0.323$, p<0.01), problem solving (${\beta}=-0.320$, p<0.001), social support (${\beta}=0.064$, p<0.05), and emotional stress coping (${\beta}=0.264$, p<0.001). These factors explained 30.8% of the variance in smartphone addiction. Conclusions: The results from this study indicated that stress had a negative impact on smartphone addictions in subjects. It is necessary to provide smartphone addiction management for stress management.

The impacts on school life of a occupational therapy student use of smartphone

  • Lee, Sun-Myung
    • Journal of Korean Clinical Health Science
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    • v.7 no.2
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    • pp.1289-1297
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    • 2019
  • Purpose: The purpose of this study was to investigate occupational therapy at M college in Changwon and the impact of smart phone use on the school life of college students and to help them find ways to further develop in the future. Methods; Data collection was conducted using questionnaires, and the questionnaires consisted of 152 total questions with 15 interpersonal questions, 23 problem solving skills, 43 self-efficacy, 16 class participation scale, and 55 self-directed learning scale. It was conducted to first and second graders of M college and conducted a survey through the corresponding academic year from March 26, 2019 to March 29, 2019 to retrieve 120 questionnaires and use them for analysis. The collected data were analyzed using SPSS. Statistic 20.0. Results: Studies show that "school life satisfaction" is usually the highest at 53 percent. The "smartphone user motivation" was the highest with 50.8 percent, while the "most frequently used feature on smartphones" was the highest with 57.5 percent on SNS. Satisfaction after using a smartphone was the highest with 49.2 percent, while 41.7 percent said it would be easier to acquire and utilize information in the areas of satisfaction. Conclusion: Smartphone addiction, interpersonal relationships, problem-solving skills, self-efficacy, participation in classes, and self-control learning items are not only affected by one part, but also by the other.

Impact of Social Withdrawal and School Environment on Adolescents' Smartphone Dependency: the Mediating effect of Self-esteem and Depression (청소년의 사회적 위축과 학교 환경이 스마트폰 의존에 미치는 영향: 자아존중감과 우울의 매개효과)

  • Sohn, Shin-Young
    • Journal of Digital Convergence
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    • v.19 no.12
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    • pp.577-586
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    • 2021
  • This study is objected to identify the influencing factors of adolescents' smartphone dependency and to determine the degree of influence on smartphone dependency through direct and indirect channels acting between factors. The data of the 2th Korean Child-Youth Panel Survey(KCYPS 2018) was analyzed using the SPSS 26.0 and 26.0 AMOS program. Six paths proved to statistically significant. Self-esteem and depression were the influencing factors of adolescents' smartphone dependency. Social withdrawal and the school environment influenced smartphone dependency through self-esteem and depression as mediators. Self-esteem and depression acted as mediating factors. Adolescents' smartphone dependency was influenced not only by personal factors but also by external factors such as the school environment. The results of this study will be presented as evidence for developing programs that can prevent adolescents from smartphone dependency.

Exploring the Factors of Decision Making by the Psychological Power of Smartphone (스마트폰의 심리적 파워에 의한 의사결정 요인 탐색)

  • Park, So-young;Kim, Mincheol
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.197-204
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    • 2019
  • The purpose of this study was to explore factors that influence decision making for smartphone users. This study sets intimacy, personal connection, use & dependence, familiarity and expertise, efficacy and effectance, self-identity, and control as independent variables and sets decision making as dependent variables. In this study, 200 smartphone users were collected and analyzed through questionnaires, and Smartpls 3.0 was used to understand the impact between variables. Five of the six factors that affected smartphone users' psychological strength were analyzed to have affected their decision-making. In addition, we examined the relationship between psychological effects and use period as a control variable. The results of this study can be used as a basis for the consumer behavior of smartphone devices in the development of smartphone devices.