• 한국치위생학회지
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• 제17권1호
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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.

• 한국정보컨버전스학회논문지
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• 제7권2호
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• pp.1-5
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• 2014

본 연구에서는 스마트폰 특성과 서비스 품질이 몰입에 미치는 영향을 분석하고, 편리성, 오락성, 편재성으로 구성된 스마트폰 특성과, 상호작용성, 개인화로 구성된 서비스 품질이 정서적 몰입 및 규범적 몰입에 유의한 영향을 미치는 가를 검증하였다. 실증분석결과 스마트폰 특성 중 오락성은 정서적 몰입 및 규범적 몰입에 모두 유의한 영향을 미치고 있으며, 편재성은 규범적 몰입에 유의한 영향을 미치고 있다. 서비스 품질 중 개인화는 정서적 몰입 및 규범적 몰입에 유의한 영향을 미치는 것으로 분석되었다. 이는 스마트폰 특성 중 오락성과 서비스 품질 중 개인화 기능을 강조하면, 정서적으로 규범적으로 몰입을 증가시킬 수 있음을 알 수 있다.

• 서비스연구
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• 제4권1호
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• pp.95-107
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• 2014

스마트폰 시장이 성숙기에 들어서면서 시장규모와 보급률이 다소 감소하고 있지만, 스마트폰은 여전히 우리생활에서 가장 중요한 부분을 차지하고 있는 생활필수품이다. 최근 스마트폰과 관련된 주요 이슈들 중 가장 쟁점이 되는 것이 바로 정부의 보조금 규제 정책에 관한 내용이라 할 수 있다. 이에 스마트폰 특성에 따른 구매의도에 정부의 규제 정책이 어떻게 영향을 주는가를 알아보고 더 나아가 정부 정책 방향에 대해 제언을 하는데 본 연구의 목적이 있다. 스마트폰 특성에 관한 기존의 연구를 기반으로 기능적 특성 중에서 기능성, 경제적 특성 중에서 가격과 전환비용이 구매의도에 미치는 영향을 분석하고, 정부의 규제정책에 대해 찬성하는 그룹을 대상으로 정부의 보조금 규제정책이 구매의도에 어떠한 영향을 미치는지를 알아보았다. 연구 결과 기능성, 가격, 전환비용은 구매의도에 유의미한 영향을 미쳤으나 보조금 규제 정책은 구매의도에 영향을 미치지 못하였다.

• 디지털융복합연구
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• 제12권9호
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• pp.93-99
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• 2014

본 연구의 목적은 iOS와 안드로이드 운영체제를 중심으로 스마트폰 사용자의 성향을 두 가지 관점(구매성향과 이용성향)에서 탐색적으로 분석하는 것이다. 구매 성향에 대한 연구결과, 두 운영체제 사용자에 따라 스마트폰 선택의 우선순위와 성별 비율에서 통계적으로 유의한 차이가 존재했다. 그러나 스마트폰 교체주기에는 차이가 없는 것으로 나타났다. 이용 성향에 대한 연구결과, 두 운영체제 사용자에 따라 설치된 애플리케이션과 가입한 SNS(social network service)의 갯수, 월평균 요금, 그리고 만족도에서 통계적으로 유의한 차이를 보였다. 그러나 두 운영체제 간 인터넷 사용시간에는 유의한 차이를 보이지 않았다. 본 연구의 결과는 운영체제 개발자, 스마트폰 제조기업, 그리고 애플리케이션 개발자들에게 유의한 함의를 제공할 것으로 기대된다.

• 대한안전경영과학회지
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• 제15권2호
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• pp.113-120
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• 2013

This study was conducted to investigate the characteristics of smartphone usage and posture of users during using smartphone. A survey was conducted for 983 smartphone users to understand the association between smartphone usage and including subjective symptoms associated with musculoskeletal disorders. Main results from the survey were as follows; 1) 18.8% of the subjects experienced musculoskeletal symptoms at least at one of body parts. Specifically, 8.1%, 5.6%, 4.1%, and 11.3% of the subjects experienced musculoskeletal symptoms at neck, shoulder, elbow, and hand respectively, 2) The symptoms of musculoskeletal disorders were also associated with amount of text message and time for daily usage of smartphone. Specifically, relative risks of musculoskeletal disorders at hand/wrist/fingers in terms of "amount of text message" and "time for daily usage" for experienced user were 1.425 and 1.368 respectively to inexperienced user. This study identified 'amount of text message' and 'time for daily usage' as the major risk factors of smartphone usage in terms of musculoskeletal symptoms. The results of the study provided a good basis in order to remove or reduce the risks associated with musculoskeletal symptoms due to smartphone usage.

• Physical Therapy Rehabilitation Science
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• 제11권4호
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• pp.446-453
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• 2022

Objective: The popularization of smartphones can lead to abnormal cervical alignment in university students. The aim of this study was to investigate the relationship among smartphone screen time, cervical alignment, and muscle function in university students. Design: Cross-sectional study. Methods: Seventy-five university students participated in the study. They completed the evaluation of cervical alignment and muscle function, such as handgrip strength, proprioception, and muscle quality (tone, stiffness, and relaxation time). All participants recorded their general characteristics and individual smartphone screen time before the evaluation. They were evaluated craniovertebral angle (CVA) using smartphone application (angle meter 360) for measuring cervical alignment. The muscle function was assessed using a digital hand-held dynamometer, dual inclinometer, and MyotonPRO device. Results: Of all participants, twenty-five university students had forward head posture (CVA<49°, 33.33%). Independent t-test revealed that there were significant differences on smartphone screen time, muscle stiffness, and muscle relaxation between the participants with and without forward head posture (p<0.05). There were significant correlations between the smartphone screen time and the CVA, muscle tone, and muscle relaxation (r=-0.493, 0.250, and -0.500, respectively). Conclusions: The results indicate that the university students with forward head posture had high smartphone screen time and muscle stiffness compared to the students without forward head posture, and smartphone screen time might be associated with cervical alignment and muscle quality.

• 한국임상보건과학회지
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• 제7권2호
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• pp.1308-1317
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• 2019

Purpose: The purposes of this study are to investigate the actual uses of a smartphone and tendencies for smartphone addiction among dental hygiene students, examine the effects of life stress, self-esteem, communication ability and interpersonal relationship ability considered to have correlations with addiction, and is provided basic data to solve the problems. Methods: The investigator analyzed data collected from 332 students in the Dental Hygiene Department at J University in Gyeongnam Province with SPSS 18.0. Results: The students scored mean 2.34±0.40 points on the four-point scale of smartphone addiction tendencies, 1.70±0.43 on the life stress scale, 2.99±0.32 on the interpersonal relationship ability scale, 2.80±0.42 on the self-esteem scale, and 2.83±0.39 on the Communication ability scale. There were differences in their smartphone addiction tendencies according to such general characteristics as the grade(p<.05), perceptions of a smartphone(p<.001), and hours of using a smartphone(p<.001). They had differences in life stress according to the grade(p<.01). Their smartphone addiction tendencies increased according to higher percentage of a smartphone(β=.360, p<.001), longer hours of using a smartphone(β=.225, p<.001), and greater life stress(β=.297, p<.001). The higher their smartphone addiction tendencies were, the lower their self-esteem was(β=.-210, p<.001). Conclusions: The study provides data needed for dental hygiene students to recognize the problems of smartphone addiction, find improvement measures, and make effective use of a smartphone.

• 한국IT서비스학회지
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• 제12권4호
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• pp.435-447
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• 2013

If we use a smartphone to analyze and detect falling, it is a huge advantage that the person with a sensor attached to one's body is free from awareness of difference and limitation of space, unlike attaching sensors on certain fixed areas. In this paper, we suggested effective posture analysis of smartphone users, and fall detecting system. Suggested algorithm enables to detect falling accurately by using the fact that instantaneous change of acceleration sensor is different according to user's posture. Since mobile applications working on smart phones are low in compatibility according to mobile platforms, it is a constraint that new development is needed which is suitable for sensor equipment's characteristics. In this paper, we suggested posture analysis algorithm using smartphones to solve the problems related to user's inconvenience and limitation of development according to sensor equipment's characteristics. Also, we developed fall detection system with the suggested algorithm, using hybrid mobile application which is not limited to platform.

• Journal of information and communication convergence engineering
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• 제11권3호
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• pp.216-222
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• 2013

It is known that blood circulation in human body causes the skin tone to change concurrently with heartbeats. A number of apps have been developed to measure the heartbeat using smartphone camera; however, no any further analysis is performed. In this paper we propose an algorithm that detects heartbeats from the phone's camera and further extracts the heart rate variability (HRV). We compare the HRV extracted from the camera with the HRV extracted from the electrocardiogram. We estimated a number of commonly used HRV characteristics and compared them. Our results show that smartphone camera leads to slightly overestimated characteristics although the difference in extracted HRV signals is negligible. As a consequence we suggest that a smartphone camera can be employed in a quick heart diagnosis and diagnosis of autonomic nervous system.

• International journal of advanced smart convergence
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• 제10권4호
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• pp.30-37
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• 2021

Touch sensor interface has become the most useful input device in a smartphone. Unlike keypad/keyboard interfaces used in electronic dictionaries and feature phones, smartphone's touch interfaces allow for the recognition of various gestures that represent distinct features of each application's input. In this paper, we analyze application-specific input patterns that appear in smartphone's touch interfaces. Specifically, we capture touch input patterns from various Android applications, and analyze them. Based on this analysis, we observe a certain unique characteristics of application's touch input patterns. This can be utilized in various useful areas like user authentications, prevention of executing application by illegal users, or digital forensic based on logged touch patterns.