• Title/Summary/Keyword: personalization

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The Effect of the Environmental Education Strategy through Personalization of Environment (자기 환경화를 통한 환경교육 전략의 효과)

  • 이선경;장남기
    • Hwankyungkyoyuk
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    • v.5 no.1
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    • pp.71-88
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    • 1993
  • This study was conducted to develop and effective strategy for environmental education. At first, the environmental education strategy through personalization of environment was proposed. Then students in a middle school participated the program according to the strategy and its. effect was investigated. The strategy was designed in basis of the role of the limbic system in brain and involved field-oriented experience such as viewing the non-personal environment as the personal environment. Gokneung stream was selected as the site to conduct this environmental education. Students investigated water quality by senses and biological method. The same content was taught for the classroom group and simple outdoor group selected for the comparison by traditional instructional method. The pre- and post-test by the instrument to test environmental attitude, qualitative questionnaire, cognitive test, the pre- and post-interview were conducted to investigate the effect the program. The achievement of the classroom group(personalization group). But the change of the attitude toward environment of personalization group between pre- and post-test was significantly higher than the classroom group. In qualitative questionnaire and pre- and post-interviews, attitude toward environment differed between two group. The behavioral change to discover and to solve environmental problems was demonstrated in case the personalization group, but was unclear in the classroom group. These results indicated the environmental education strategy through personalization of environment was an effective strategy to change the awareness, attitude and behavior toward the environment compared with a traditional teaching strategy.

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Consumer Response Change according to the Level of Personalization of Internet Shopping Mall (인터넷 쇼핑몰의 개인화 수준에 따른 소비자의 반응 변화)

  • Kim, Jisu;Jin, Jooyoung;Hyun, Hyeyoung;Na, Youngjoo
    • Science of Emotion and Sensibility
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    • v.20 no.2
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    • pp.59-72
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    • 2017
  • In the flood of information, many consumers want to choose the style that is suitable for their sensibility, which is usefulness and need for personalized services have been steadily increasing. This study made a video of personalized internet shopping mall and then university students (N=170) who have been using the internet shopping mall were asked to experience this and the change in consumer response was measured. According to level of personalization, this study found difference of web-site evaluation, satisfaction/internet behavior and quality evaluations of products. With regard to preferred types of internet shopping malls and the number of access, the difference was investigated. The results are as follows. First, subjects who experienced internet shopping mall of active personalization showed higher level of active personalization. Level of passive personalization differed depending on preferred types of internet shopping malls, for example, people who prefer online apparel shopping mall were low but people who prefer complex big shopping mall and social commerce were high. Second, after experiencing internet shopping mall of active personalization, satisfaction/internet behavior and quality evaluations of products did not change but passive personalization decreased and active personalization and web-site evaluation increased. Third, the number of access to internet shopping mall positively correlated with satisfaction/internet behavior and web-site evaluation, on the other hand, active personalization negatively correlated with satisfaction/internet behavior and web-site evaluation.

A Mechanism of CAS Client Personalization through separating CAS Service of Protocol A.1 on TTA.KO-07.0079 XCAS (TTA.KO-07.0079 XCAS 프로토콜 A.1의 CAS 서비스 분리를 통한 CAS Client 개인화 메커니즘)

  • Kim, Young-Mo;Jang, Eun-Gyeom;Choi, Yong-Rak
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.11
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    • pp.57-66
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    • 2010
  • CAS Client personalization means to issue CAS ID or Key for CAS service, which is Core Technology for CAS operation. Protocol A.1 on TTA.KR-07.0079 XCAS, stores CAS Client personalization data from CAS server in XCAS server, and transmits the personalization data by request of XCAS HOST for CAS Client personalization. However, this may increase Network Traffic and CAS Client image management in XCAS server. In this thesis, to complement this, CAS Client personalization is executed on CAS Server by separating CAS service field. Therefore this can distribute Image management and Network Traffic of XCAS server.

Effects of Personalization and Types of Interface in Task-oriented Chatbot (과업형 챗봇에서 개인화와 담화 종류에 따른 인터페이스의 차이가 수용의도, 만족도에 미치는 영향)

  • Park, Sohyun;Jung, Yoonhyun;Kang, Hyunmin
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.595-607
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    • 2021
  • In response to increasing demand of contactless services, the overall usage of "task-oriented chatbots" in the industry is on the rise. The purpose of a task-oriented chatbot is to raise the efficiency of data sharing and workflow; in order to establish a guideline, there must be a discussion on "what" and "how" to share information. We investigate the effects of personalization and different types of the interface on 'performance expectancy', 'effort expectancy', 'intention to use', and 'satisfaction' in the context of a task-oriented chatbot. Results show that 'intention to use' and 'satisfaction' were higher when the level of personalization was higher. Within the closed-discourse interface, 'intention to use' and 'satisfaction' were higher when personalization was lower. We highlight the practical insights in the use of personalization and types of chatbot interface based on 'perceived personalization', 'expectation disconfirmation theory', 'privacy concern' and 'privacy paradox'.

An Collaborative Filtering Method based on Associative Cluster Optimization for Recommendation System (추천시스템을 위한 연관군집 최적화 기반 협력적 필터링 방법)

  • Lee, Hyun Jin;Jee, Tae Chang
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.3
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    • pp.19-29
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    • 2010
  • A marketing model is changed from a customer acquisition to customer retention and it is being moved to a way that enhances the quality of customer interaction to add value to our customers. Such personalization is emerging from this background. The Web site is accelerate the adoption of a personalization, and in contrast to the rapid growth of data, quantitative analytical experience is required. For the automated analysis of large amounts of data and the results must be passed in real time of personalization has been interested in technical problems. A recommendation algorithm is an algorithm for the implementation of personalization, which predict whether the customer preferences and purchasing using the database with new customers interested or likely to purchase. As recommended number of users increases, the algorithm increases recommendation time is the problem. In this paper, to solve this problem, a recommendation system based on clustering and dimensionality reduction is proposed. First, clusters customers with such an orientation, then shrink the dimensions of the relationship between customers to low dimensional space. Because finding neighbors for recommendations is performed at low dimensional space, the computation time is greatly reduced.

Effects of the User's Perceived Threat to Freedom and Personalization on Intention to Use Recommendation Services (자유 위협과 개인화에 대한 사용자의 지각이 상품 추천 서비스 수용에 미치는 영향)

  • Lee, Gyu-Dong;Kim, Jong-Uk;Lee, Won-Jun
    • Asia pacific journal of information systems
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    • v.17 no.1
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    • pp.123-145
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    • 2007
  • There are flourishing studies in the acceptance or usage of information systems literature. Most of them have taken the pro - acceptance view. Undesirably, information technologies often provoke users' reactance or resistance. This paper explores one of the negative reactions -psychological reactance. The present paper studies the effects of the users' perception of threatened freedom and personalization degree on intention to use recommendation services. High personalization can be a major motivation for users to accept recommendation systems. However recommendation services are a two-edged sword, which not only provides users the efficiency of decision making but also poses threats to free choice. When people consider that their freedom is reduced or threatened by others, they experience the motivational state to restore the freedom. This motivational state must be considered in understanding usage of information systems, especially personalized services which are designed for persuasion or compliance. This paper empirically investigates the effect of personalization and the psychological reactance on the intention to use information systems in the personalized recommendation context. Users' perception of personalization increases the usefulness of recommendation service while their perception of threat to freedom reduces the intention to use personalized recommendation service. Findings and implications are discussed.

Study on Personalization to Improve Usage Intention of Corporate Information System : An Empirical Analysis in Using Intranet System (기업 정보시스템 사용의도 향상을 위한 개인화 연구)

  • Lee, Sung-Woo;Chang, Won-Kyung;Kim, Tae-Kyun
    • Journal of Information Technology Applications and Management
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    • v.17 no.4
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    • pp.57-82
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    • 2010
  • Many companies today use information systems to maintain competitive advantage and to give immediate responses to customer requests. Over time, however, many of these companies failed to make the most of such information systems because the users stopped utilizing the system. While many reasons offer explanations to the phenomenon, this study analyzes how usage intention of information system can be enhanced by changing the environment and usefulness of the system from the user's perspective. Active and wide-ranging researches using the Technology Acceptance Model (TAM) have been carried out on an individual's tendency to using new technology. But, many of the studies remain focused on improving user intention by enhancing the ease of use and usefulness of the system under PC applications or Enterprise applications. The personalized intranet system is not only bringing about sweeping changes to a company's information systems environment but also providing users with freedom to design their own working environment, personalization, to Corporate Information Systems (CIS). Results from empirical tests on intranet systems verify that through personalization, a more voluntary information system environment can be created and that by increasing the ease of use and usefulness of the system, users can become more favorable to accepting new technologies and ultimately result in improved usage intention. This study suggests personalization variables and model for implementing a voluntary CIS for information system developers.

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A Verification about the Formation Process of Filter Bubble with Personalization Algorithm (개인화 알고리즘으로 필터 버블이 형성되는 과정에 대한 검증)

  • Jun, Junyong;Hwang, Soyoun;Yoon, Youngmi
    • Journal of Korea Multimedia Society
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    • v.21 no.3
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    • pp.369-381
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    • 2018
  • Nowadays a personalization algorithm is gaining huge attention. It gives users selective information which is helpful and interesting in a deluge of information based on their past behavior on the internet. However there is also a fatal side effect that the user can only get restricted information on restricted topics selected by the algorithm. Basically, the personalization algorithm makes users have a narrower perspective and even stronger bias because users have less chances to get views of opponent. Eli Pariser called this problem the 'filter bubble' in his book. It is important to understand exactly what a filter bubble is to solve the problem. Therefore, this paper shows how much Google's personalized search algorithm influences search result through an experiment with deep neural networks acting like users. At the beginning of the experiment, two Google accounts are newly created, not to be influenced by the Google's personalized search algorithm. Then the two pure accounts get politically biased by two methods. We periodically calculate the numerical score depending on the character of links and it shows how biased the account is. In conclusion, this paper shows the formation process of filter bubble by a personalization algorithm through the experiment.

Personalization of Brick-and-Mortar Retail Stores (오프라인 상점의 개인화)

  • Kim, Chan-Young;Cho, Yoon-Ho
    • Journal of Intelligence and Information Systems
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    • v.14 no.4
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    • pp.117-134
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    • 2008
  • The outpaced growth of online channel sales over the traditional retail sales is a result from superior shopping convenience that online stores offer to their customers. One major source of online shopping convenience is a personalized store that reduces customer's shopping time. Personalization of an online store is accomplished by using various in-store shopping behavior data that the Internet and Web Technology provides. Brick-and-mortar retailers have not been able to make this type of data available for their stores until now. However, RFID technology has now opened a new possibility to personalization of traditional retail stores. In this paper, we propose BRIMPS (BRIck-and-Mortar Personalization System) as a system that brick-and-mortar retailers may use to personalize their business and become more competitive against online retailers.

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