• 한국실내디자인학회논문집
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• 제23권2호
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• pp.193-200
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• 2014

This study aimed to evaluate how users are satisfied with village community center. It will develope and determine a most detailed design and requirements to maximizing for user's convenience. The study conducted interview survey using questionnaire based on universal design principles, to users of village centers that are in possible of cooperation of 25 village centers in Haw Soon district, Jeonnam province and used 160 cases to the analysis. The conclusion of this study is as follows. First, users showed most satisfaction about LDK space and dissatisfaction about design, stair/slope, entrance, and bathroom. Specially, users are dissatisfied with curtains at room and handralis at entrance. In terms of design, users about the indoor-outdoor environment as a whole was unsatisfactory. Second, survey on actual needs space scrutinized bathroom, kitchen, and stair/slope according to priority. In result of these surveys, user's satisfaction with village community center and actual needs space show needed improvements on bathroom and stair/slope space urgently.

• 디지털융복합연구
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• 제20권1호
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• pp.277-283
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• 2022

본 연구는 모바일 이커머스 페이 원터치 결제 시 심리적 안정감을 제공하는 사용자 경험을 연구하는 데 목적이 있다. 문헌 조사와 사례연구를 통해 이커머스 페이 원터치 결제를 파악하고, 설문과 심층 인터뷰를 통해 사용자 경험을 조사하였다. 애런 윌터(Aarron Walter)의 사용자 욕구 단계(Hierarchy of User Needs) 모형을 토대로 작성한 설문은 원터치 결제에 대한 기능성, 사용성은 높은 평균값을 받지만, 신뢰성과 안정감은 다소 낮게 나타났다. 이후 사용자 관점에서 바라본 사용자 경험 디자인(A User's Eye View of User Experience Design) 모형을 바탕으로 진행된 심층인터뷰를 분석하여 심리적 안정감을 보완하기 위한 디자인 개선안 네 가지를 제시하였다. 이 연구는 원터치 결제 시 안정감을 느낄 수 있는 결제 경험 기초 연구에 도움이 될 것으로 기대한다.

• Journal of Information Processing Systems
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• 제6권2호
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• pp.185-196
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• 2010

This paper proposes a personal information protection model that allows a user to regulate his or her own personal information and privacy protection policies to receive services provided by a service provider without having to reveal personal information in a way that the user is opposed to. When the user needs to receive a service that requires personal information, the user will only reveal personal information that they find acceptable and for uses that they agree with. Users receive desired services from the service provider only when there is agreement between the user's and the service provider's security policies. Moreover, the proposed model utilizes a mobile agent that is transmitted from the user's personal space, providing the user with complete control over their privacy protection. In addition, the mobile agent is itself a self-destructing program that eliminates the possibility of personal information being leaked. The mobile agent described in this paper allows users to truly control access to their personal information.

• Journal of Korea Artificial Intelligence Association
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• 제2권1호
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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.

• 말소리와 음성과학
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• 제7권2호
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• pp.39-45
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• 2015

This research was conducted to investigate the voice related needs of occupational voice users. The data collected from teachers(379), tele-marketers(156), therapists(50) was classified according to its content, by colaizzi's inductive categorical analysis. The voice related needs are classified into 3 big categories, 1) how to use, 2) how to care, 3) how to be healthy. Again the category 'how to use' my voice was into 6 sub-categories: (1) efficiently, (2) as I desired, (3) without pain(discomfort), (4) expressively, (5) phonation (methods) and (6) clear articulation. The result showed that the needs from 3 groups of occupational voice users reflect their own environment which they have to use their voice as well as the voice characteristics wanted from their specific listeners.

• 한국주거학회논문집
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• 제10권2호
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• pp.247-257
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• 1999

This study is aimed to propose the evaluation model of forecasting visual quality of apartment buildings, which would be a useful tool to make the architectural concepts corresponding to user needs. This study was carried out through the four-step experiments as follows. The first step is to take the user's visual evaluation construct. To do this, the 22 adjective phrases were extracted, which were applicable to all apartment buildings. The second step is to analyze the user's visual preference, which is measured by the user's psychological quantity on the apartment buildings by S. D.(Semantic Differential) Method. The third step is to analyzethe five psychological-factors obtained from the Factor Analysis. The perceptual images on the 41 experimental subjects were checked up through evaluating and analyzing the factor scores of each subjects for each psychological-factor. The fourth step is to analyze, the similarity of various characters in a building, which is mirrored on the user's psychological quantity and how buildings are grouped by it.

• 한국비블리아학회지
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• 제15권2호
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• pp.241-254
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• 2004

본 논문은 국내 대학도서관 학술연구정보 이용자들을 그들의 정보요구, 정보이용행태, 정보활용능력을 중심으로 살펴보았다. 이용자들은 도서관 이용에 관한 기본적인 안내정보를 가장 많이 필요로 하고 있으나 대학의 온라인이나 오프라인 도서관시스템은 기본정보제공이 불충분한 것으로 나타났다. 또한 이용자들은 학술연구정보에 대한 주제탐색의 요구를 가지고 있으나 이를 만족시킬 만한 탐색지식이나 정보원에 관한 정보가 부족한 상태인 것으로 드러났다. 이용자의 학술연구정보 활용능력은 저조한 편이며 특히 기사검색이나 원문검색과 같은 고급학술연구정보 활용능력은 극히 낮은 수준에 머물렀다. 대학도서관의 안내정보시스템과 사용자 인터페이스의 개선이 요망되며 피상적인 이용자교육을 지양한 고급의 학술연구정보를 활용할 수 있는 이용자교육이 요청된다.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.374-388
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• 2022

Cloud computing has been one of the most critical technology in the last few decades. It has been invented for several purposes as an example meeting the user requirements and is to satisfy the needs of the user in simple ways. Since cloud computing has been invented, it had followed the traditional approaches in elasticity, which is the key characteristic of cloud computing. Elasticity is that feature in cloud computing which is seeking to meet the needs of the user's with no interruption at run time. There are traditional approaches to do elasticity which have been conducted for several years and have been done with different modelling of mathematical. Even though mathematical modellings have done a forward step in meeting the user's needs, there is still a lack in the optimisation of elasticity. To optimise the elasticity in the cloud, it could be better to benefit of Machine Learning algorithms to predict upcoming workloads and assign them to the scheduling algorithm which would achieve an excellent provision of the cloud services and would improve the Quality of Service (QoS) and save power consumption. Therefore, this paper aims to investigate the use of machine learning techniques in order to predict the workload of Physical Hosts (PH) on the cloud and their energy consumption. The environment of the cloud will be the school of computing cloud testbed (SoC) which will host the experiments. The experiments will take on real applications with different behaviours, by changing workloads over time. The results of the experiments demonstrate that our machine learning techniques used in scheduling algorithm is able to predict the workload of physical hosts (CPU utilisation) and that would contribute to reducing power consumption by scheduling the upcoming virtual machines to the lowest CPU utilisation in the environment of physical hosts. Additionally, there are a number of tools, which are used and explored in this paper, such as the WEKA tool to train the real data to explore Machine learning algorithms and the Zabbix tool to monitor the power consumption before and after scheduling the virtual machines to physical hosts. Moreover, the methodology of the paper is the agile approach that helps us in achieving our solution and managing our paper effectively.

• 한국실내디자인학회논문집
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• 제17권4호
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• pp.75-83
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• 2008

This study examined the various functions of public libraries, as well as user satisfaction and needs. We targeted 6 public libraries in the Seoul and Gyunggi area. After 280 library users were surveyed, the collected data were analyzed with an SPSS for Win 14.0 statistics program, where we used frequency, percentage, mean, T-test, One-way ANOVA, and Duncan's test. The major findings were as follows: 1) Half of the users used educational functional space, mainly in the 10-20 age group, who used it for educational purposes as a student or to prepare for getting a job. 2) There were gaps between the furniture arrangement and user preference since most libraries used a rigid system while users preferred a more flexible arrangement. 3) Space by space, public library satisfaction levels differed according to the users' gender and age. Satisfaction of the digital information room scored high, especially for users in their forties. Since public library users are diverse and require various functions, library interiors should be planned accordingly in terms of furniture arrangement and interior design. In particular, there was a gap between satisfaction by age groups, so libraries must account for community needs by considering the age group demographics of their surrounding areas.

• 과학기술학연구
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• 제15권1호
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• pp.245-279
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• 2015

우리나라 혁신시스템에 탈추격 창조형으로의 전환이 요구되면서 '지속가능성', '삶의 질', '사회문제 해결' 등의 의제에 대응할 수 있는 새로운 혁신모델이 화두가 되고 있다. 특히 혁신정책에서 ICT 활용의 강화와 함께 사용자 니즈, 개발 성과의 확산, 기술의 사회적 영향을 고려할 것을 강조하고 있다. 리빙랩은 사용자가 혁신활동에 능동적으로 참여함으로써 문제를 해결하고, ICT인프라를 활용하여 직접 개발활동 및 혁신주체 간 연계, 사용자 경험 활용이 용이하다는 장점이 있다. 본 연구에서는 사용자와의 협업을 통해 과학기술 ICT 기반 서비스 개발을 수행하는 리빙랩으로 핀란드 Turku Archipelago 리빙랩, 범 유럽 차원에서 리빙랩 방법론 확산을 목표로 하는 EIT ICT Labs와 ELLIOT에 대한 사례분석을 수행하였다. 리빙랩에서 실현되는 최종 사용자(지역 구성원)의 수요와 경험, 과학기술 ICT의 활용 양태를 분석한 결과 이들 리빙랩에서는 기술의 사용자 현장지향성이 강하고, 지역사회를 기반으로 한 혁신활동을 강조하였으며, 거버넌스 다학제 활동에 의한 협업을 중시하였다. 이를 통해 ICT 리빙랩을 국내에 성공적으로 안착하기 위해서는 사용자 지역사회의 역할 강화, 협업구조, R&D 프로세스 등의 설계에 있어 사용자 참여와 숙의가 강조되는 새로운 접근이 필요하다는 함의를 제시할 수 있다.