• 제목/요약/키워드: and user behavior

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Data-driven Persona Analysis for Understanding Web Novel Users: Focusing on Quantitative Behavioral Pattern Data (웹소설 사용자 이해를 위한 데이터 기반 페르소나 분석: 정량적 행동 패턴 데이터 중심으로)

  • Ha, Sangjip;Park, Do-Hyung
    • Knowledge Management Research
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    • 제23권3호
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    • pp.259-284
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    • 2022
  • In order to help the understanding of web novel users, this study was intended to quantitatively verify the user's behavioral types according to the characteristics of web novels. For this purpose, the direction of the study proceeded as follows. First, the motives of web novel users were investigated by referring to the motives of other digital content users. In addition, specific behavioral types of users were also collected. As a result, the motivation for using web novels was found to be 'interpersonal relationships and information acquisition with others', 'leisure activities', and 'escape from reality/relieve tension'. After that, the groups were classified as to whether there was a difference between groups according to the motives of use. As a result, the 'hobbies' type, a group with a particularly high motivation for using leisure activities, the 'stress relief' type, a group with very high escapism and tension relief characteristics, and a group with high interpersonal relationships and information acquisition with others The 'communication' type was classified as a 'multipurpose' type with high overall motivation characteristics. Then, in order to find out the specific characteristics between the types, personas were constructed based on the different behavior type data. Through this, the theoretical contribution of this study is meaningful in that it revealed the motives of web novel users. As a practical contribution, the persona was formed by combining the users' motives and behavioral patterns and visualized to be close to the actual representative users. These results are expected to help improve the web novel service by providing useful indicators for actual writers, platform managers, and users.

Development of Artificial Intelligence Joint Model for Hybrid Finite Element Analysis (하이브리드 유한요소해석을 위한 인공지능 조인트 모델 개발)

  • Jang, Kyung Suk;Lim, Hyoung Jun;Hwang, Ji Hye;Shin, Jaeyoon;Yun, Gun Jin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • 제48권10호
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    • pp.773-782
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    • 2020
  • The development of joint FE models for deep learning neural network (DLNN)-based hybrid FEA is presented. Material models of bolts and bearings in the front axle of tractor, showing complex behavior induced by various tightening conditions, were replaced with DLNN models. Bolts are modeled as one-dimensional Timoshenko beam elements with six degrees of freedom, and bearings as three-dimensional solid elements. Stress-strain data were extracted from all elements after finite element analysis subjected to various load conditions, and DLNN for bolts and bearing were trained with Tensorflow. The DLNN-based joint models were implemented in the ABAQUS user subroutines where stresses from the next increment are updated and the algorithmic tangent stiffness matrix is calculated. Generalization of the trained DLNN in the FE model was verified by subjecting it to a new loading condition. Finally, the DLNN-based FEA for the front axle of the tractor was conducted and the feasibility was verified by comparing with results of a static structural experiment of the actual tractor.

A Study on the Phobia Treatment Using 3D Virtual Reality System (3D 가상환경시스템 이용한 공포증 치료에 대한 연구)

  • Paek Seung-Eun
    • The Journal of Information Technology
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    • 제5권4호
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    • pp.45-55
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    • 2002
  • Virtual Reality(VR) is a new technology which makes humans communicate with computer. It allows the user to see, hear, feel and interact in a three-dimensional virtual world created graphically. In this paper, we introduced VR into psychotherapy area and developed VR system for the exposure therapy of acrophobia. Acrophobia is an abnormal fear of heights. Medications or cognitive-behavior methods have been mainly used as a treatment. Lately the virtual reality technology has been applied to that kind of anxiety disorders. A virtual environment provides patient with stimuli which arouses phobia, and exposing to that environment makes him having ability to over come the fear. In this study, the elevator stimulator that composed with a position sensor, head mount display, and audio system, is suggested. To illustrate the physiological difference between a person who has a feel of phobia and without phobia, heart rate was measured during experiment. And also measured a person's HR after the virtual reality training. In this study, we demonstrated the subjective effectiveness of virtual reality psychotherapy through the clinical experiment.

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Development of a Simulation Prediction System Using Statistical Machine Learning Techniques (통계적 기계학습 기술을 이용한 시뮬레이션 결과 예측 시스템 개발)

  • Lee, Ki Yong;Shin, YoonJae;Choe, YeonJeong;Kim, SeonJeong;Suh, Young-Kyoon;Sa, Jeong Hwan;Lee, JongSuk Luth;Cho, Kum Won
    • KIPS Transactions on Software and Data Engineering
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    • 제5권11호
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    • pp.593-606
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    • 2016
  • Computer simulation is widely used in a variety of computational science and engineering fields, including computational fluid dynamics, nano physics, computational chemistry, structural dynamics, and computer-aided optimal design, to simulate the behavior of a system. As the demand for the accuracy and complexity of the simulation grows, however, the cost of executing the simulation is rapidly increasing. It, therefore, is very important to lower the total execution time of the simulation especially when that simulation makes a huge number of repetitions with varying values of input parameters. In this paper we develop a simulation service system that provides the ability to predict the result of the requested simulation without actual execution for that simulation: by recording and then returning previously obtained or predicted results of that simulation. To achieve the goal of avoiding repetitive simulation, the system provides two main functionalities: (1) storing simulation-result records into database and (2) predicting from the database the result of a requested simulation using statistical machine learning techniques. In our experiments we evaluate the prediction performance of the system using real airfoil simulation result data. Our system on average showed a very low error rate at a minimum of 0.9% for a certain output variable. Using the system any user can receive the predicted outcome of her simulation promptly without actually running it, which would otherwise impose a heavy burden on computing and storage resources.

Developing the Strategies of Redesigning the Role of Retail Stores Using Cluster Analysis: The Case of Mongolian Retail Company (클러스터링을 통한 유통매장의 역할 재설계 전략 수립: 몽골유통사를 대상으로)

  • Tsatsral Telmentugs;KwangSup Shin
    • The Journal of Bigdata
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    • 제8권1호
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    • pp.131-156
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    • 2023
  • The traditional retail industry significantly changed over the past decade due to the mobile and online technologies. This change has been accompanied by a shift in consumer behavior regarding purchasing patterns. Despite the rise of online shopping, there are still specific categories of products, such as "Processed food" in Mongolia, for which traditional shopping remains the preferred purchase method. To prepare for the inevitable future of retail businesses, firms need to closely analyze the performance of their offline stores to plan their further actions in a new multi-channel environment. Retailers must integrate diverse channels into their operations to stay relevant and adjust to the shifting market. In this research, we have analyzed the performance data such as sales, profit, and amount of sales of offline stores by using clustering approach. From the clustering, we have found the several distinct insights by comparing the circumstances and performance of retail stores. For the certain retail stores, we have proposed three different strategies: a fulfillment hub store between online and offline channels, an experience store to elongate customers' time on the premises, and a merge between two non-related channels that could complement each other to increase traffic based on the store characteristics. With the proposed strategies, it may enhance the user experience and profit at the same time.

A Study on Urban Open Space Selection Attributes as an Urban Entertainment Destination (도시 엔터테인먼트 목적지(UED)로서 도시 오픈 스페이스의 선택속성 연구)

  • Chae, Jin-Hae;Kim, Yong-Gook;Kim, Young-Hyun;Son, Yong-Hoon;Zoh, Kyung-Jin
    • Journal of the Korean Institute of Landscape Architecture
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    • 제41권4호
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    • pp.56-67
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    • 2013
  • This paper asks what the Selection Attributes of urban open space are which carries out a role as an Urban Entertainment Destination. Case studies have chosen the Cheonggyecheon Waterfront, Seoul Forest Park, Seonyudo Park and Banpo Hangang Park as the representative open spaces in Seoul. The methods of study are observation investigation, a literature investigation and the survey to 233 visitors that conducted the ANOVA analysis and Regression analysis by SPSS 18.0. As a result, first, the urban open space in Seoul has had 8 elements of UED; Landscape, Multi anchoring, Contextual links, Programmability, Community, Branded identity, Security and Service. Second, they are being used not the neighborhood type but a wide area type. Third, Landscape, Security and Service are most important while Programmability and Community are less important than other factors in EUOS factors. Lastly, it was analysed that the influential factor of revisitation and satisfaction is Landscape, which is the common factor. Security in revisitation and Contextual links in satisfaction are especially additional factors. The landscape property is an important element to make an Entertainment Urban Open Space(EUOS). The virtue of landscape in the EUOS relates not only park facility or program that installed in the place but also the overall mood involving park user's activities in the place. To be a successful EUOS, a park facility, program and the overall mood involving user's activities need to be integrative approach to enhance the virtue of landscape.

A Study on Continued Intention of Social Network Services by Applying Privacy Calculus Model: Facebook and KakaoTalk Cases (프라이버시 계산 모형을 적용한 SNS 지속 사용 의도에 대한 연구: 페이스북과 카카오톡 사례 중심으로)

  • Min, Jinyoung;Kim, Byoungsoo
    • Information Systems Review
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    • 제15권1호
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    • pp.105-122
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    • 2013
  • Given the proliferation of social network services, it has become important to understand its user's continued use behavior. As users' privacy concerns in SNS have been identified as a critical barrier against forming this continued intention, many studies have focused on inducing continued intention by mitigating privacy concerns. However, this paper suggests to approach users' continued intention not only from the perspective of mitigating privacy concerns but also from the perspective of increasing potential benefits. Under the theoretical framework of privacy calculus model, we conducted cross sectional survey on 150 Facebook and 150 KakaoTalk users. The result suggests that trust mediates the relationships between privacy concerns and continued intention and between network externality and continued intention, and the influence of support for network formation on continued intention. The effect of network externality on continued intention, however, is not significant among Facebook users while it is significant among KakaoTalk users.

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A Review of Greenhouse Energy Management by Using Building Energy Simulation (BES 프로그램을 이용한 온실의 에너지 관리)

  • Rasheed, Adnan;Lee, Jong Won;Lee, Hyun Woo
    • Journal of Bio-Environment Control
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    • 제24권4호
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    • pp.317-325
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    • 2015
  • This paper attempts to present a review about simulation of different greenhouse parameters and energy supplying techniques by using building energy simulation, to find out the optimal solution for keeping greenhouse microclimate favorable for the crop production. The objectives of conducting this study were, to describe the various energy systems and techniques used for the greenhouse energy management and efficiency analysis of these technologies by using building energy simulation. We describe different models to understand the behavior of the energy saving technologies with respect to the resources available and different outside climatic conditions. We identified main features of the building energy simulation software, that enable users, to simulate hybrid agricultural building projects by using user defined parameters. At the end of the paper we draw some important concluding remarks on the basis of reviewing all the investigators contributions for the developments of simulation model of agricultural greenhouse energy management, using a building energy simulation software specifically TRNSYS. In conclusion, this paper provides information that TRNSYS have great potential for agricultural buildings energy simulation along with the renewable energy resources and energy saving techniques. This review paper provides aid to greenhouse researcher and energy planner for the future studies of greenhouses energy planning.

Design of Tour Guide System using Bluetooth 4.0 and WiFi Sensor Technology (블루투스4.0과 WiFi 센서 기술을 이용한 관광안내 시스템 설계)

  • Kim, Hee-Sook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • 제16권10호
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    • pp.6888-6894
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    • 2015
  • Bluetooth 4.0 is the most appropriate technology for Internet of Things, which can be used to enhance and expand the existing areas and areas with a variety of applications. In this paper, an example of the services of the Internet of Things, we developed a tour guide system using the Bluetooth 4.0 and WiFi sensor technology. iBeacon-based push service have been limited to iOS smart phone series, non-iOS family and lower version of iOS 6 smart phones can not receive push-based services. This paper proposed in iBeacon and WiFi sensor is more than tourists, while maintaining the existing system (non-iOS smartphone users) can provide the service to you. Service tourist information as well as that can provide the advertising associated with the service. With 10 kinds of smart phones used in Korea was the experiment on the MAC information collected. This experiment is to track the behaviour of tourists in history can provide customized services can be based. Tourist destinations as well as amusement parks, resorts, etc. If you want to apply this system in a crowded place for user behavior information-gathering feature views over the a prevention of a missing child features such as notifications, risk, prevention is possible for a variety of applications.

An Investigation of Users' Privacy Protection Behaviors: Factors Affecting Privacy Protection Technology Adoption (개인정보보호 기술 수용행동에 영향을 미치는 요인에 대한 연구)

  • Choi, Bomi;Park, Minjung;Chai, Sangmi
    • Information Systems Review
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    • 제17권3호
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    • pp.77-94
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    • 2015
  • As Internet has become a popular media for sharing information, users create and share tremendous volume of information including large amount of personal information in cyberspace. Sharing private information online can enhance strength of social relationship but it could also bring negative consequences like information privacy invasion. Although many companies and governments address the importance of information privacy online, there are countless cases of crimes and hackings relating personal information online world wide. Since there are some researches investigating the role of governments and organizations on online privacy domain but there is little research regarding users' privacy protection behaviors. This study investigates relationship between Internet users' information privacy protection behavior and environmental factors. Especially, this study focuses on users' behaviors regarding information privacy protection technology adoption. According to our research results, users' online privacy protective behaviors positively affected by governmental regulations expressed as an information privacy protection law. In addition, if user is allowed to use anonymity when he or she uses online services, they have more tendencies to adopt privacy protection technologies. The detailed research findings and contribution are discussed as well.