본 논문에서는 모바일 RPG 장르의 튜토리얼의 구성요소를 분석하고, 이를 바탕으로 모바일 RPG 튜토리얼 제작시 고려해야 하는 요소들에 관해 고찰하였다. 이를 위하여 먼저, 모바일 게 임의 UI 속성을 살펴보고, 게임 요소에 대한 선행연구를 통해 RPG 구성요소를 확인하였다. 다 음으로 이를 바탕으로 모바일 게임 <리니지M>과 <리니지2M>, <리니지2 레볼루션>, <검은사 막 모바일>과 PC 게임 <로스트아크>, <검은사막>의 초기 튜토리얼 구성요소를 비교 분석하였 다. 마지막으로, 분석 결과를 바탕으로 모바일 RPG 튜토리얼 구성요소에 대해 제안하였다. 첫 째, 모바일이나 PC 환경과 상관없이 RPG 튜토리얼 구성요소에 모두 포함되는 요소인, RPG 튜토리얼의 기본적인 요소를 포함한다. 둘째, 모바일 RPG의 경우 가상 인터페이스를 통한 게 임 플레이의 비중이 크다는 점을 고려하여 가상 인터페이스를 활용한 매개적 소통 방법에 대 한 요소를 게임에 맞게 포함한다. 셋째, 가상 인터페이스를 통한 게임 플레이가 게임 세계 자 체에 대한 몰입을 방해하는 부작용을 초래하지 않도록 플레이어의 직접적인 행동에 따른 NPC 리액션에 대한 요소를 강화하고, NPC Status와 몬스터에 대한 배경 스토리 정보를 포함한다.

Despite its advantages such as safety, unnecessary pretreatment, and decontamination of waste with complex geometry, conventional ultrasonic decontamination technology has been only used to remove loose contaminants, oil and grease, not fixed contaminants due to the limitations in increasing the intensity in the high frequency range. Thus, ultrasound has been used as an auxiliary method to accelerate chemical decontamination of radioactive wastes or chemicals were added to the solution to increase the decontamination efficiency. The recently developed high-intensity focused ultrasound (HIFU) decontamination technology overcomes these limitations by combining multiple frequencies of ultrasonic waves in a specific arrangement, making it possible to remove most fixed contaminants, including radioactive micro particles less than 1 micrometer within half an hour. KEPCO NF and EnesG developed mobile HIFU decontamination equipment and successfully demonstrated the decontamination effect on various radionuclides found in nuclear power plants by treating radioactive metal waste to the level below free release criteria. The mobile HIFU decontamination equipment used in the demonstration can be operated anywhere where water is supplied, including controlled area in nuclear power plants, and is expected to be used widely for decontamination and free release of metal radioactive wastes.

MicroRNAs (miRNAs) are emerging materials as ideal biomarkers for noninvasive cancer detection in the early phase. In this article, a simple and label-free electrochemical miRNA biosensor was developed. A single-stranded DNA (ss-DNA) probes were successfully mapped to f-MWCNT and hybridized with the target miR-141 sequence. The optimum peak points of the obtained hybridization were determined using Cyclic Voltammetry (CV) and Differential Pulse Voltammetry (DPV) methods. Significant peaks were observed in the results, depending on miR-141 at different concentrations. The linear relationship (ν) between redox peak currents (Ip) and scanning rate indicated that electron transfer (ET) between miR-141 and the electrode surface was accomplished successfully. In DPV measurements, miR-141 was measured with a low detection limit (LOD) in the 1.3–12 nM concentration range, and the LOD and limit of quantification (LOQ) results were found to be 3 and 9.1 pM, respectively. Besides, selectivity test was investigated for the biosensor using different target analytes and a significant difference in value was observed between the peak currents of miR-141, and other target molecules. This developed strategy has been found to detect miR-141 sensitively, selectively and without tags, and its integration into mobile devices has been successfully carried out.

Recently a biosafety level-3(BL-3) mobile laboratory has been set up for the virus scanning and vaccine development because of the COVID-19 pandemic. The study on air flow inlet and outlet location and its flow direction with ventilation in the mobile laboratory needs to prevent spread of COVID-19 virus because the COVID-19 virus is primarily transmitted to people through respiratory droplets and aerosol coming out as their coughing. This study is conducted on the air flow pattern optimization in BL-3 mobile laboratory with various design specifications of position of air supply & exhaust port and particle source. Air flow patterns of ceiling supply-exhaust and ceiling supply-bottom side exhaust with particle source were determined to compare the impact of the infection prevention. CFD simulation was used to analyze for two air flow patterns and particle source position. Numerical results showed that air flow pattern of air conditioning system with ceiling supply-exhaust in a row is more effective than that of ceiling supply-bottom side exhaust air flow pattern in terms of infection prevention in biosafety mobile laboratory.

Currently, the current status of mobile apps in traditional markets is still passive in digitalization, and services provided using mobile apps are limited. This study aims to propose a cloud platform-based mobile platform that can overcome digital transformation, strengthen the competitiveness of traditional markets, and revitalize the local economy by more consumers visiting traditional markets. This study identified the current situation and problems of the market due to its characteristics, and analyzed the impact and opportunities of cloud and mobile technology on the characteristic market. It also implemented a cloud-based smart traditional market mobile platform prototype. The platform combines the advantages of traditional markets with digital benefits to deliver value to all users, social, industrial, I hope it will be of great help on the social side.

In today's fast-evolving technological environment, the growth of mobile devices has provided businesses with additional knowledge on how to effectively communicate with their targeted audience. As big data generated by mobile users has become a valuable source for improving communication, users’ location data has provided an additional parameter to take into account while trying to enhance the effectiveness of digital marketing campaigns. This paper presents a comparative study of the location-based marketing field and tools. It provides an overview of different exploitation methods of location-based mobile services and data for effective digital marketing campaigns and guidelines for future research.

We study retailer app use and shopping behavior by investigating whether and how app adopters’ preferred store registration (PSR), a voluntary enrollment of store loyalty program, can lead to changes in purchase behaviors among the adopters in offline stores. A panel dataset from a large bakery franchise chain was studied using difference-in-differences with propensity score matching for causal inference. The results show that customers who participated in PSR increase their spending, compared to customers who did not. In addition, the results confirm that the PSR-spending relationship is moderated by customer and store characteristics; customers who visited infrequently and spent less prior to PSR participation increase their purchases, and they spend more at stores with better service quality.

With the pandemic of the early 2020s coming to a close, city politicians and planners around the world seek to bring in more tourists and entrepreneurs to assist their local businesses and domestic economies in the return to pre-pandemic levels. There exists a myriad of ways city officials attempt to attract visitors from festivals and fireworks displays to citywide initiatives and awareness programs. This study takes a look at a destination’s perceived coolness, how it is manifested through destination service quality and tourist app use, and how it affects an individual’s revisit intention based on structural and interpersonal constraints.

This study investigated the key factors that explain the continuous usage intention of mobile payment users in the post COVID-19 pandemic era. Based on the health belief model (HBM) and communication privacy management (CPM) theory, this study examined how the five constructs of HBM influence mobile payments continuous usage intention through perceived privacy risk and perceived security. It also investigated the moderating role of perceived privacy awareness on the relationship between perceived privacy risk and continuous usage intention as well as the moderating role of information sensitivity on the relationship between perceived security and continuous usage intention.

Although older adults’ adoption rates of smartphones have continued to increase in recent years, health-related apps are not widely accepted by older adults. Therefore, the primary aim of this study was to explore older adults’ adoption behavior of mobile health (mHealth) apps in the U.S. Specifically, this study applied protection motivation theory (PMT; Rogers, 1975) as the theoretical base to explain older adults’ adoption process of health apps to understand the influences of threat and coping appraisals on older adults’ adoption behavior of health apps. In addition, the current study incorporated the technology readiness theory (Parasuraman, 2000) to understand the influences of older adults’ positive and negative technological readiness (TR) on their PMT components. Data were collected from older adults (n = 600; 60% female) aged over 55 in the U.S. using online survey questionnaires. The data analysis was conducted using partial least square structural equation modeling (PLS-SEM). The findings suggest the impact of coping appraisals on older adults’ attitudes toward mHealth apps and their (continuance) intention to use mHealth apps. Especially among PMT’s four appraisal components, response efficacy was the most critical underlying mechanism driving mHealth app-related attitude and behavioral intention. In addition, older adults’ beliefs about using mHealth apps (i.e., TR) significantly influenced their coping appraisal processes, while positive TR was more critical in forecasting their coping appraisals. The results suggest a need to classify older consumers into different segments based on their TR to develop differentiated marketing strategies. The findings also suggest that marketers understand various protective motivation components concerning the use of mHealth apps among older adults.

Technology, for example, Personalized Technology Services (PTS), has groomed consumers to expect an integrated and personalized shopping experience regardless of the channels, such as websites, mobile apps, physical stores, etc. PTS refers to technologies that offer personalization functions to meet customer needs at the time of their shopping for a seamless experience. The purpose of this study is to investigate the role of retailer mobile apps’ PTS in consumers’ omnichannel shopping experiences by: (1) identifying PTS values specific to retail mobile apps for in-store shopping and (2) testing the PTS values – channel integration – consumer responses links based on Information Integration Theory (IIT). We first proposed that PTS via mobile apps holds various positive values. Second, we postulated four hypotheses: H1. PTS values enhance the integration of PTS values, H2. Integration of PTS values positively affects customer engagement, H3. Customer engagement positively affects customer satisfaction and H4. Customer engagement mediates the relationship between integration and customer satisfaction. Two web-based survey studies were employed with US consumers who had an experience with mobile app-mediated PTS offered by retailers. For study 1, a total of 239 US consumers participated in the survey. Study 1 identified five value dimensions of the app-mediated PTS: hedonic value, utilitarian value, self-efficacy, co-creation, and synchronicity. For study 2, a total of 373 US participants completed the survey. Study 2 confirmed the proposed structural model that PTS values positively affected channel integration which, in turn, positively influenced customer engagement and shopping satisfaction. Additionally, customer engagement partially mediated the effect of integration on shopping satisfaction. This study expanded the literature on omnichannel retailing by exploring consumer in-store shopping experience using retail mobile apps from PTS and channel integration perspectives. Practically, the study findings provided insights for marketers into how to design the retailers’ mobile apps to enhance the integrated shopping experience of consumers.

This study aims to address two important questions: will advertising on mobile short-form video apps jeopardize the value perception of luxury brands (RQ1), and if so, how will self-deprecating online reviews eliminate these negative effects (RQ2). An experimental design approach was employed to investigate the proposed research questions. Three experiments were conducted to test the hypotheses. SPSS was used for data analysis. The study 1 finds that compared with traditional media, advertising on mobile short-form video apps shortened the psychological distance between consumers and luxury, therefore has a more negative impact on consumers’ perception of luxury brands. The study 2 reveals that self-deprecating online reviews can eliminate the negative effects of advertising of luxury brands. On the basis of previous research, this paper proves the negative influence of social media on luxury brands in the scene of new social media-mobile short format video application. In addition, it also studies the moderating effect of online comments, especially self-deprecating comments, on consumers' perception of luxury brands. This study outlines theoretical contributions and practical implications for the luxury marketing management and made suggestions for future research in the field of luxury marketing in Social Media.

This study proposes a conceptual model to investigate consumers' behavioral intention to use m-payment based on social cognitive theory and the value-based adoption model. The model compares the behaviors of two consumer cohorts in Thailand, generation X and Z.

목적 : 미국의 EYENETRA 회사가 개발한 모바일 앱 기반 이동형 자동굴절력계(NR)는 피검사자가 직접 기기 를 작동하여 굴절이상도를 측정하는 기기로, 그 임상성능을 확인하기 위해, 고정형 자동굴절력계(HRK-8000)와 자각적 굴절검사(subjective refraction, SR) 측정값을 비교 분석하고자 하였다. 방법 : 경기도 소재 M 안경원의 고객 중, 치료 중인 전신질환 및 안질환이 없고, 안과 수술을 받은 적이 없는 근시 또는 근시성 난시 124명(248안)을 대상으로 하였다. 굴절이상도 측정값을 얻기 위하여 NR, HRK-8000과 SR 순서로 검사를 진행하였다. 통계처리는 SPSS program(version 26)을 사용하였고, p<0.050인 경우를 통계 적으로 유의한 것으로 판단하였다. 결과 : 구면, 원주, 등가구면 굴절력은 NR 측정값의 근시도가 가장 높게 측정되었고(p<0.010), SR에 대한 NR 의 평균값은 HRK-8000보다 차이가 크게 나타나 표준편차 범위를 벗어났다. SR에 대한 난시축 일치도는 ±5° 범위에서 NR이 41.4% 일치하였고, HRK-8000은 90.8% 일치하여 NR의 난치축 일치도가 낮게 나타났다. SR에 대한 NR과 HRK-8000의 정확도를 확인하기 위해 95% 일치 한계(LOA)를 비교한 결과 구면, 원주굴절력과 SE 성분의 NR 범위는 각각 +2.01∼-2.72, +1.69∼-2.20와 +1.89∼-2.81 D로 나타났고, HRK-8000 범위는 각 각 +0.84∼-0.96, +0.42∼-0.73와 +0.81∼-1.09 D로 나타났으며, 모든 변수에서 NR의 범위가 넓어 정확도 가 낮은 것으로 확인되었다. 결론 : 이상의 결과를 종합하면, 기존의 자동굴절력계를 대체하기는 어려울 것으로 판단되었고, 임상에서 예비 검사로 활용되기 위해서는 정확도가 개선될 필요가 있다고 사료된다.

본 연구는 좌우뇌의 활용 성향에 따라 다중지능이 어떻게 나타나는지, 모바일 웹사이트의 색채, 형태, 운동, 깊이 등의 지각 요소에 대한 반응의 차이가 어떻게 나타나는지 알아보고자 한다. 본 연구에 필요한 뇌 성향에 대한 데이터를 위하여 참여자를 모집하여 뇌 선호도 검사를 실시하였고, 이들의 다중지능을 확인하였다. 이들 을 뇌 성향별로 구분하고, 모바일 웹사이트의 지각 요소에 대해 선호도 조사를 하였고, 집단 간의 차이가 유 의미한지 확인하였다.

모바일 게임 시장 규모가 시간이 지날수록 커지고 있다. 그만큼 한국뿐만 아니라 전 세계적으로 모바일 게임 을 개발하고 출시하고 있는 개발사들이 늘어나고 있는데, 한해 출시되는 수백 개 이상의 모바일 게임들 사이 에서 성공적으로 유저들을 유치하고 수익을 창출하기 위해서는 단순히 모바일 게임을 완성도 있고 재미있게 개발하는 것으로 끝나는 것이 아닌 출시 이전부터 출시 이후 운영 까지 다양한 개발 외적인 전략을 활용하여 경쟁력을 확보해야 한다. 본 연구에서는 모바일 게임의 완성도를 결정하는 게임 내적인 요인들을 제외하고 출 시, 마케팅, 운영 등 모바일 게임 개발 외적인 요인들 중 모바일 게임의 성공에 도움이 될 수 있는 키워드들 을 추출하고 이에 대한 전략들을 정의함으로써 향후 모바일 게임 개발사들이 게임을 개발하는데 있어 참고할 수 있도록 하였다.

해양 조난사고가 발생하면 해양경찰은 수색계획을 수립하기 위하여 조난자의 수와 신원을 파악하는 등 사고 현황을 조사한다. 선장은 출항 시 선원과 승객의 신분을 포함한 명부를 첨부하여 관할기관에 신고서를 제출하도록 명시되어 있지만 승선자들이 수기로 승 선자명부를 작성하면서 대기 시간이 길어지고 조난사고 발생 시 이러한 내용을 즉시 파악하기 어렵다. 승선 신청을 편리하게 할 수 있도 록 해양수산부에서 앱을 개발하였지만, 활성화되고 있지 않아 본 연구에서 이를 개선하는 방안을 제안하였다. 모바일 승선신고 제도를 활 성화하여 조난사고 시 조난자의 초기 위치와 조난시각을 신속히 확보하고 조난신고 접수 사실을 문자로 통보하여 조난자에게 심적 안도 감을 제공할 수 있다. 더불어 이 정보 이용을 통해 해양경찰을 포함하여 주변에 있는 민간 선박과 함께하는 민관협력 형태로 신속히 구조 할 수 있는 효과를 기대할 수 있다.

박새는 도시생태계 내 환경변화를 측정할 수 있는 생물지표종이자 대표적인 식충성 조류로 건전성 유지와 같은 중요한 역할을 맡고 있다. 연구자들은 박새과 조류의 번식생태 파악을 위해 인공새집 조사방법을 활용하고 있으나, 공간적･시간적 한계로 거시적 관점의 연구를 진행하기에는 어려움이 있다. 본 연구는 전문가 중심으로 수행된 기존 인공새집 모니터링이 갖는 한계를 벗어나고자 시민참여 인공새집 모니터링 프로젝트를 설계하였다. ‘수원시 앞마당 조류 모니터링단’은 시민조사원 들의 자발적인 참여를 통해 경기도 수원시 내 녹지공간에 인공새집을 설치하고 박새과 조류의 번식생태를 관찰하는 프로젝트이 다. 2021년 2월 9일부터 2월 22일까지 온라인 설문조사를 통해 참가자를 모집하였고, 시민조사원은 2021년 2월 23일부터 8월 31일까지 인공새집 설치부터 관찰까지 직접 수행하였다. 비전문가인 시민조사원들의 진입장벽을 낮추고 일관된 데이터를 수집하기 위해 모니터링 과정 전반에 대한 온라인 교육을 수행하였고 모바일 애플리케이션을 이용하여 인공새집 관찰기록을 수집하였다. 시민참여 인공새집 모니터링 프로젝트에는 98명의 시민조사원이 참여하였고 배포된 206개의 인공새집 중 175(84.95%)개가 수원시 내 녹지공간에 설치되었다. 설치된 인공새집 중 위치 좌표 생성 오류가 발생한 2건을 제외한 173(83.98%)개를 대상으로 시민과학 프로젝트 결과를 확인했다. 시민조사원으로부터 수집한 인공새집 관찰기록은 총 987회 이며, 최솟값은 1회, 최댓값은 26회, 평균은 5.71±4.37회로 나타났다. 월별 인공새집 관찰 횟수는 2월 70회(7.09%), 3월 444회(44.98%), 4월 284회(28.77%), 5월 133회(13.48%), 6월 46회(4.66%), 7월 6회(0.61%), 8월 4회(0.41%)로 조사되었 다. 설치된 173개의 인공새집 중 57개(32.95%)에서 조류의 이용을 관찰할 수 있었고 박새 12개소(21.05%), 곤줄박이 7개소 (12.28%), 미동정 조류 38개소(66.67%)로 확인되었다. 본 연구는 박새과 조류의 번식생태를 조사방법으로 활용되는 인공새집 모니터링에 시민의 참여 가능성을 처음으로 검토한 연구로 향후 시민과학을 접목한 생태모니터링 설계의 기초자료로 활용될 수 있을 것으로 판단된다.