Earticle

연구의 목적은 모바일 광고 앱 사용자가 인지하는 혜택 및 비용요인이 사용자의 만족을 거쳐 광고태도 에 미치는 영향을 실증적으로 검증해 보는 것이다. 연구목적 달성을 위하여 관련 선행연구 고찰을 통해 모 바일 광고 앱 사용자가 인지하는 혜택(오락성, 정보성, 경제성)과 비용(성가심, 이용노력)이라는 이원적 모 델의 개념을 적용하였다. 연구모형 및 가설에 대한 실증분석을 위해 모바일 광고앱 사용경험을 가진 총 112명의 이용자를 대상으로 수집된 자료를 분석하였다. 실증분석 결과를 요약해 보면 다음과 같다. 첫째, 광고 앱 사용자가 인지하는 혜택 및 비용요인에 대해 리워드앱 광고에서는 오락성이 사용자의 만족도에 유의미한 영향을 미치는 반면 인앱 광고에서는 정보성, 성가심, 이용노력 등 세 가지 요인이 유의미한 영 향을 미치는 것으로 나타났다. 둘째, 광고 앱 사용자의 만족도와 광고태도 간의 관계에 있어서는 인앱 광 고의 경우 유의미한 영향관계를 가지는 반면 리워드앱 광고는 별다른 영향을 미치지 못하는 것으로 확인 되었다. 마지막으로, 광고 앱 유형간 차이 분석을 실시한 결과, 일부 요인에서 사용자 만족에 미치는 영향 에 있어 차이를 보이는 것으로 나타났다. 본 연구는 최근 높은 관심을 받고 있는 광고 앱 사용자를 대상으 로 실증분석을 수행함으로써 향후 모바일 광고의 기획 및 집행 계획 수립 시 고려해야 할 사항을 제시한 연구라고 할 수 있다.

The purpose of this study is to empirically verify the effect of advertising app users' perceived benefits and cost factors on advertising attitudes through user satisfaction. In order to achieve the purpose of this study, the concept of a dual model of benefits (entertainment, information, economic feasibility) and cost (irritation, use effort) perceived by mobile app users was applied through the review of related prior studies. For the empirical analysis of research models and hypotheses, data collected from a total of 112 users with experience of using mobile advertising apps were analyzed. The results of empirical analysis are summarized as follows. First, with respect to the perceived benefits and cost factors in advertising app, entertainment had a significant effect on user satisfaction in reward app, whereas in in-app, three factors such as information, irritation, and use effort were found to have a significant effect. Second, it was confirmed that in-app advertising had a significant influence on the relationship between user satisfaction and advertising attitudes, whereas rewards app had no significant effect. Finally, as a result of analyzing the difference by type of advertising app, it was found that some factors showed a difference in the influence relationship. This study can be said to be a study that suggests things to consider when planning and executing future mobile advertisements by performing an empirical analysis targeting advertisement app users, which are receiving high attention recently.

During our literature review and on-site research in developing countries, particularly in Sub-Saharan Africa, we could not point out any efforts to measure the Quality of Service (QoS) and Quality of Experience (QoE) provided by telemedicine systems, thus making it impossible to understand their overall levels of user satisfaction in sub-Saharan African countries. Therefore, we conducted a qualitative and quantitative study, with experiments to measure QoS performance and the end-user QoE perception of telemedicine systems. Based on obtained results, we propose a mathematical formula to predict the QoE based on QoS measurement values, since a known relationship exists between QoS and QoE.

Based on the software quality evaluation framework, this study examines determinants affecting user satisfaction of a learning management system, which is a versatile web-based educational tool. In particular, we explore five quality attributes (capability, usability, performance, reliability, and documentation) of a learning management system in both the PC context and the smartphone context. A data from a survey with 213 students was analyzed by an ordered logit regression. The findings show that in the PC context, capability, usability, and reliability significantly affect user satisfaction, and usability has the greatest influence; in the smartphone setting, performance as well as the three dimensions has significant influence on user satisfaction, and usability and reliability have strong influence. Documentation has no significant impact on user satisfaction of learning management systems in both contexts.

The benefits of an e-learning system will not be maximized unless learners use the system. This study proposed and tested models that seek to explain students’ satisfaction withe-learning systems. A survey was performed at a women’s college in Korea, where students experimentally could choose to register one same course either through e-learning or class-room learning. The questionnaire was filled up by students who took e-learning option. Independent variables include expected benefits, familiarity with technology, social influence, and accessibility. Dependent variables include the level of satisfaction, academic achievement, and the amount of the use of systems.

The purpose of this study is to evaluate user satisfaction with village bathhouses, selected from a two-year pilot project of common facilities for seniors in rural areas from 2014 to 2015. A survey was conducted using a questionnaire to evaluate user satisfaction, and 96 questionnaires were collected from 10 village bathhouses. User satisfaction was evaluated in five categories with a five-point scale: location and spatial composition; emotions and intimacy; safety; hygiene and equipment; and maintenance and management. The results are as follows. First, scores on hygiene and equipment stood at four points or higher, indicating higher user satisfaction. However, scores on the other four categories were below four points. But when overall user satisfaction was evaluated on a five-point scale, the average score stood at 4.13out of five points and 89.5 out of 100 points. These findings suggest that users were generally satisfied with the bathhouses. Second, a comparison of bathing patterns from before and after bathhouse construction in villages revealed that 42.7% of residents had previously gone to neighboring villages to bathe. Local bathhouse construction led to an increase in overall bathing frequency, exerting a beneficial effect on hygiene. Third, general user satisfaction correlated more closely with items related to location and spatial composition than items of other categories, indicating that the architectural elements of the bathhouses have a major impact. Finally, access to a bathhouse at all times showed strong correlation with satisfaction levels, suggesting a need for the establishment of more bathhouses throughout rural areas.

2004년부터 정부는 기존 산업의 고도화를 위해 RFID/USN활용 지원사업을 단계적으로 추진해 왔다. 최근들어 일부 대기업을 중심으로 RFID/USN활용 성과들이 확인되고 있으나, 추가적인 산업정책 및 지원을 위한 기본적인 정책 자료가 부족한 실정이다. 이에 2008년도 시행된 27개의 시범사업을 대상으로 실 수혜기관의 만족도를 조사하여 RFID/USN의 구축단계, 활용단계(기술적 품질), 활용단계(업무적 품질), 그리고 유지보수단계 등 4단계에서의 만족도를 평가하고, 시사점을 도출하고자 하였다. 연구 결과, RFID/USN 기술의 안정성은 상당한 수준에 도달하였으나. 활용 및 확산을 위한 유지보수단계의 만족도가 가장 낮게 나타났다. 정책적 시사점으로 태그 및 기기의 저렴한 제공, 서비스 신뢰성 및 지속성을 위한 유지보수 컨소시엄 구성, RFID/USN 활용을 위한 수혜기업의 내부역량 강화 등 RFID/USN 유지보수 단계의 구체적인 정책지원등을 제시하였다.

Since 2004, the Korean government has been engaged in u-IT new technology verification projects in an effort to level up the industries. Recently, cases are reported that RFID/USN technology has been adopted and applied to business processes, mainly by large enterprises. However, further policies and support for the industries have been restrained because of unavailability of essential data for policy making. Therefore, the study examined the level of satisfaction among the actual recipient organizations from the 27 pilot projects to draw implications from the study result. Accordingly, the level of satisfaction was assessed in four project phases from RFID/USN building, utilization (technical quality), utilization (business quality), to maintenance. The study result showed that the technical stability reached a significant level but the level of satisfaction in the maintenance phase for the utilization and proliferation of the technology remained at the lowest. It suggested that a more specified policy support is needed in the maintenance phase to include inexpensive supply of tags and devices, a maintenance establishment of consortium to maintain reliability and continuity of service, strengthening internal competence of the beneficiary organizations for utilization of RFID/USN.

인터넷의 사용증가는 전자정부 서비스 성장의 주요한 촉매제 역할을 하고 있다. 이러한 전자정부 서비스의 증가에도 불구하고 사용자 만족에 대한 실증적인 연구는 시작단계이다. 본 연구에서는 실증 분석결과 전자정부 서비스 만족에 영향을 미치는 6가지 요인을 도출할 수 있었다. 즉, 전자정부 서비스의 구성(formation), 기능성(function), 신뢰성(reliability), 시각성(visibility), 효율성(efficiency), 그리고 지속성(substantiality)이라는 요인이다. 본 연구는 전자정부 서비스를 기획하고 구현하는데 주요한 지침으로 활용될 수 있을 것이다. 그리고 본 연구의 실증분석 결과 도출된 전자정부 서비스 만족에 영향을 미치는 6가지 요인은 한국의 전자정부 서비스의 향상과 정책에 주요한 시사점을 제공할 것 이다.

Previous studies on recommender systems have focused on increasing their accuracy by enhancing the algorithms employed. Social perceptions, however, influence both satisfaction and perceived accuracy of mobile recommender systems. Thus, the aim of this study was to investigate the importance of including reasons for particular recommendations by examining the role of social presence and self-reference and their effects on user evaluations of mobile recommender systems. We performed a 2 x 2 experimental setting (Four experimental web pages with user-to-user and item-to-item collaborative filtering) which was used to manipulate customer perception of accuracy through social presence and self-reference. Social presence and self-reference were shown to be antecedents of perceived accuracy of mobile recommender systems. Additionally, perceived accuracy appeared to be a partial mediator of the relationship between social presence and satisfaction, whereas perceived accuracy appeared to be a full mediator of the relationship between self-reference and satisfaction.

The importance of recommendation algorithms is underscored by the advancement of AI technology and the growing demand for personalized services. However, there is a lack of empirical studies that analyze differences in algorithmic services across markets. The objective of this study is to draw attention to discrepancy in this field and develop a dual-path model to examine the factors that influence satisfaction with recommendations. By analyzing 641 respondents’ data through Partial Least Squares (PLS), it identifies differences in user attitudes towards algorithms across domains. e-commerce firms and content providers can improve personalized recommendations through the research, which highlights the importance of understanding consumer satisfaction and trust in technology to adapt to evolving AI innovations.

The performance of recommender systems (RS) has been measured mainly in terms of accuracy. However, there are other aspects of performance that are difficult to understand in terms of accuracy, such as coverage, serendipity, and satisfaction with recommended results. Moreover, particularly with RSs that suggest multiple items at a time, such as YouTube, user satisfaction with recommended results may vary not only depending on their accuracy, but also on their configuration, content, and design displayed to the user. This is true when classifying an RS as a single RS with one recommended result and as a multiple RS with diverse results. No empirical analysis has been conducted on the influence of the content and distribution of recommendation items on user satisfaction. In this study, we propose a research model representing the content and distribution of recommended items and how they affect user satisfaction with the RS. We focus on RSs that recommend multiple items. We performed an empirical analysis involving 149 YouTube users. The results suggest that user satisfaction with recommended results is significantly affected according to the HHI (Herfindahl-Hirschman Index). In addition, satisfaction significantly increased when the recommended item on the top of the list was the same category in terms of content that users were currently watching. Particularly when the purpose of using RS is hedonic, not utilitarian, the results showed greater satisfaction when the number of views of the recommended items was evenly distributed. However, other characteristics of selected content, such as view count and playback time, had relatively less impact on satisfaction with recommended items. To the best of our knowledge, this study is the first to show that the category concentration of items impacts user satisfaction on websites recommending diverse items in different categories using a content-based filtering system, such as YouTube. In addition, our use of the HHI index, which has been extensively used in economics research, to show the distributional characteristics of recommended items, is also unique. The HHI for categories of recommended items was useful in explaining user satisfaction.

This research studies NPCs applied by Generative Pre-trained Transformer (GPT) Technology. This study set three independent variables as characteristics of the NPCs applied GPT. User immersion is set as a mediator variable, while user game satisfaction and loyalty are chosen as dependent variables. The Stimulus-Organism-Response (SOR) theory is employed to study user attitude changes, and immersion is examined through the Flow Theory. The study found that interactions between NPCs and users directly and indirectly influence user satisfaction and loyalty. This suggests that NPCs capable of providing users with desired information, rather than merely following predetermined protocols, can enhance the user’s affinity for the game. Furthermore, the intelligence and human-likeness of NPCs were found to indirectly influence satisfaction and loyalty through immersion. These findings underscore the importance of GPT-applied NPCs in the gaming industry, with potential implications for the future development and enhancement of such NPCs within games.

As the importance of websites is expanding to various service sectors, there is increasing interest in improving user satisfaction in creating a website. To maximize user satisfaction, visual design should reflect end-user preferences. In this regard, the current study particularly examined the differences between male and female responses to visual design elements. Based on a survey with college students, there was no difference between the two groups in the influence of information quality and navigation quality on the satisfaction. However, there are gender differences with regard to visual stimuli, with women focusing more on color. These findings provide strategic suggestions for web designers by considering the gender characteristics of target users.

Various corporates have launched products and brands to meet the diverse needs of consumers. However, an excess of information and products could be collapsed into a choice paradox far from the intention. As an alternative to these problems, curation-based services have recently been in the limelight and can be adopted into e-commerce sites. As one of the earlier studies on the considerable factors of curation services, this study focuses on the online fashion recommendation system in which design quality, interactivity, and perceived usefulness will affect trust, satisfaction, and continued intention to use. In the result, the design quality factor shows a positive effect on satisfaction, but not on the trust. Also, interactivity doesn’t demonstrate a significant positive effect on both the satisfaction and the trust factors far from the previous ones but the perceived usefulness had a positive effect on those. In addition, the personalization does not affect a significant effect on the satisfaction factor but on the trust factor. Subsequently, the trust affects the satisfaction, and the satisfaction on the continued intention to use factor, but trust does not significantly affect the continued intention to use directly.

Purpose: This study investigated the feasibility of the newly-developed high-frequency stimulation based on investigation of clinical characteristics, user needs and usage satisfaction according to age groups. Methods: Thirty participants with knee pain were participated in the study. Each participant received the high-frequency stimulation over both knees over three times a week during a total of two weeks. We investigated each participants’ clinical characteristics, user needs and post-intervention usage satisfaction by newly modified questionnaires. Results: As a result, 93.3% of participants wanted to receive the home-based management using the highfrequency stimulation and more than 60% of participants experienced the pain relief after 2-week intervention period. The twenties and thirties reported the largest satisfaction scores (3.722±0.575) after the intervention than other age groups. Conclusion: We conclude that the high-frequency stimulation over both knee is feasible to reduce the knee pain as a home-based pain management tool, especially for the younger.

연구목적: 본 연구는 장애인 보조기기서비스에 대한 품질 측정을 통해 서비스 품질이 서비스 만족과 재이용의사에 어떻게 영향을 미치는지를 규명하였다. 연구방법: 서울시 장애인 보조기기서비스 이용 실태 관련 설문조사 DB자료를 활용하여 기술통계 분석, 요인분석, 경로분석을 수행하였다. 연구결과: 첫째, 장애인 보조기기서비스 품질의 하위요인 중 서비스 품질을 결정하는 영향력의 크기는 확신성(.974) > 반응성(.963) > 공감성(.961) > 신뢰성(.940) > 유형성(.910) 순으로 확인되었다. 둘째, 장애인 보조기기서비스 이용자가 서비스 이용을 통해 인지한 서비스 품질은 이용자의 서비스 만족에 긍정적인 영향을 미치며, 서비스 품질은 또한 이용자의 서비스 재이용의사에 긍정적인 영향을 미치는 것을 확인하였다. 셋째, 서비스 품질이 재이용의사에 영향을 미치는 직접효과(β=.319, p<.001)보다 서비스 품질이 서비스 만족을 매개로 재이용의사에 영향을 미치는 간접효과(β=.370, p<.001)가 더 큰 것으로 확인되었다. 결론: 확신성, 반응성, 공감성에 중점을 둔 서비스 품질 개선 방안이 필요하며, 이용자들의 타인 권유 · 추천 의사 및 구전효과에 따른 신규 이용자 확대 견인, 노인, 국가유공자 등에게도 서비스 확대 · 제공 등이 필요하다는 시사점을 제시하였다.

Purposes: This study sought to examine the effects of service quality and service user satisfaction on the reuse intentions of service user in assistive technology service. Method: This study executed descriptive statistics, confirmatory factor analysis, structural equation model by using survey data involving 320 service users of the assistive technology service for persons with disabilities in Seoul. Results: Firstly, The influences on factors in Servqual were assurance(.974) ＞responsiveness(.963) ＞ empathy(.961) ＞ reliablity(.940) ＞ tangibles(.910). Secondly, service quality impacted positively on the service user satisfaction and the reuse intentions of user in assistive technology service. Thirdly, the indirect effect(β=.370, p<.001) was greater than the direct effect(β=.319, p<.001) in the effects of service quality and service user satisfaction on the reuse intentions of service user in assistive technology service. Conclusion: This study suggested the plan focusing assurance, responsiveness, empathy for improving service quality in the assistive technology and increasing service users in assistive technology service.

본 연구의 목적은 수원시 공공도서관의 현황을 실증적으로 분석하고, 지역 주민과 도서관 관계자를 대상으로 설문조사와 인터뷰를 통해 수요 기반의 서비스 개선 방향과 중장기 발전 전략을 제시하는데 있다. 이를 위해 수원시 도서관 이용자․비이용자 989명을 대상으로 설문조사와, 도서관 관계자 8명을 대상으로 포커스 그룹 인터뷰를 실시하였다. 주요 결과로 이용자들은 사서의 친절성과 전문성에 대해 높은 만족도를 보이면서 도서관 운영 전반에 대해서도 긍정적으로 평가한 반면, 디지털 서비스에 대한 만족도는 상대적으로 낮았다. 또한 이용자의 70% 이상이 30대 이하로 특정 연령대에 편중되어 있었으며, 대출과 학습 공간의 이용에 집중되어 있었다. 사서 1인당 봉사대상 인구는 전국 평균보다 높아 인력 부족의 문제도 확인되었다. 이상의 결과를 바탕으로 사서 인력의 단계적 충원, 세대 통합형 서비스 체계 구축, 복합문화 공간으로써의 정체성 확립, 그리고 물리적․인지적 접근성 제고 방안을 제시하였다.

The objectives of this study are to empirically analyze the current status of Suwon Public Libraries and make a mid- to long-term development strategies. A survey was conducted with 989 library users and non-users, and a focus group interviews was held with eight library staff members. The results show that users reported high satisfaction with librarians’ friendliness and professionalism and evaluated the overall library operations positively. In contrast, satisfaction with digital services was comparatively low. Library staff identified the excellent accessibility and extensive facility infrastructure, while the lack of professional librarians and budgetary constraints were weak. Based on these findings, the study proposes expansion of librarian staffing, intergenerational service system, reinforcement of the library as multifunctional cultural space, and enhancement of physical and cognitive accessibility.

지식정보화 사회에서 자신에게 적합한 도서를 찾는 일은 정보 이용자들에게 쉽지 않은 일이다. 도서관이 전통적인 서비스에서 벗어나 이용자 맞춤의 추천 서비스를 제공할 필요성이 높아지고 있으나, 현재까지 이용자 만족에 대한 질적인 연구는 거의 없는 상황이다. 본 연구는 연관성 분석 알고리즘인 Apriori를 적용하여 이용자 맞춤 도서추천을 시행하고, 피험자와의 면담을 통해 만족의 요인을 심층분석 하였다. 실험데이터는 서울시 S 전문도서관의 2009년부터 2019년까지 10년간의 대출데이터 중 이용빈도가 높은 100명의 대출 데이터였고, 실험 대상은 심도있는 인터뷰 가능자였다. 연관성 분석 후 도서추천서비스 대상자의 면담자료를 분석하여 도출한 개념과 범주는 각각 개념 58개, 하위 범주 6개, 상위범주 2개였다. 상위 범주는 ‘독서’와 ‘도서 추천 서비스’로, ‘독서’범주에서 독서 동기에 관한 개념이 17개, 선호 도서에 관한 개념이 8개, 기대 효과에 대한 개념이 12개였다. 또 ‘독서추천 서비스’ 범주에서 ‘반영 희망 요소’ 10개, ‘반영 방법’ 4개, ‘만족 요인’ 9개로 나타났다.

It is not easy for information users to find books that are suitable for them in a knowledge information society. There is a growing need for libraries to break away from traditional services and provide user-tailored recommendation services, but there are few qualitative studies on user satisfaction so far. In this study, a user-customized book recommendation was performed by applying Apriori, a correlation analysis algorithm, and satisfaction factors were analyzed in depth through interviews. The experimental data was the loan data of 100 people who used the most frequently used loan data for 10 years from 2009 to 2019 of the S library in Seoul. The interviewees of the experiment were those who could be interviewed in depth. After the correlation analysis, the concepts and categories derived by analyzing the interview data were 59 concepts, 6 sub-categories, and 2 upper categories, respectively. The upper categories were ‘reading’ and ‘book recommendation service’. In the ‘reading’ category, there were 16 concepts of motivation for reading, 8 concepts of preferred books, and 12 concepts of expected effects. Also, in the category of ‘reading recommendation service’, there were 10 ‘reflection factors’, 4 ‘reflection methods’, and 9 ‘satisfaction factors’.