• Journal of the HCI Society of Korea
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• v.4 no.2
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• pp.1-8
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• 2009

User-centered design aims to develop device naturally without the interference of user' s conscious and unconscious behavior. Accordingly, designers need to understand their user's requirements, observe user behavior and interaction in the real environment. However, existing observations suggested a vast range of analysis system and observation techniques which are often ambiguous to the designers. Therefore, this research is aimed to propose an observation system for collecting data from user's behavior. In order to do so, we define the components and behavior level within the context of driving.

• Journal of Digital Contents Society
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• v.14 no.2
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• pp.179-189
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• 2013

With the rapid development of information technology in 21st century, networks are being used with various devices. Most human actions are processed through cyber space, and it is no longer separate from daily life; it has changed into one of the most important aspects of human life. Unfortunately, in cyber space, certification method has not only technical problems, but also ethological problems. Many users seemed to use the same password throughout several sites. And for a long period they refused to change it or made a small change from the earlier password. This research aims to discuss general factors of choosing and using passwords within information security through statistical analysis.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.177-187
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• 2024

177-Existing music recommendation systems do not sufficiently consider the discrepancy between the intended emotions conveyed by song lyrics and the actual emotions felt by users. In this study, we generate topic vectors for lyrics and user comments using the LDA model, and construct a user preference model by combining user behavior trajectories reflecting time decay effects and playback frequency, along with statistical characteristics. Empirical analysis shows that our proposed model recommends music with higher accuracy compared to existing models that rely solely on lyrics. This research presents a novel methodology for improving personalized music recommendation systems by integrating emotion recognition and user behavior analysis.

• Information Systems Review
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• v.19 no.3
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• pp.179-199
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• 2017

As users' cross-over shopping behaviors become more popular, many studies have attempted to describe a theoretical mechanism in multichannel environments. Apart from explaining a simplified multichannel user behavior, relevant researchers must deeply understand the mechanism of users' cross-over shopping behavior, which cannot be discovered by employing either existing theories or traditional research methods. Thus, this study explores why, how, and when users conduct cross-over shopping behaviors in multichannel environments by employing a grounded theory approach. In this study, we have interviewed 25 participants who have prior experiences in cross-over shopping. By analyzing the interview manuscripts using the grounded theory approach, we have extracted 118 codes in the coding steps and ultimately presented 28 categories by incorporating similar concepts from those codes. In this qualitative grounded theory study, we have discussed why, how, and when users do cross-over shopping behavior based on our selected codes and categories as well as by listening to the stories of our interviewees. By grounding our proposed framework, which can capture both dynamic information search and purchasing behavior, this study provides an alternative research approach to explain user behavior, thereby bolstering our current understanding of the cross-over shopping behavior of users in multichannel environments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.260-263
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• 2016

최근 스마트폰을 이용한 사용자의 운동량 계산 어플리케이션이 많이 출시되고 있다. 이러한 어플리케이션은 스마트폰의 GPS, 가속도 등의 내장 센서들을 이용하여 사용자의 행위를 분석하고, 분석된 내용을 토대로 운동량을 단순 계산해 주는 것들이 많다. 이러한 단순 계산은 사용자의 행동을 지정된 행동으로 인식하여 계산하기 때문에 복잡한 운동을 할 경우 어플리케이션에서 측정하는 칼로리 소모량과 실제 칼로리 소모량 계산과 비교해보면 오차가 많이 나는 경우가 많다. 이러한 오차를 줄이고자 신발에 압전센서와 블루투스 통신을 포함한 모듈을 삽입하여 사용자의 이동거리와 발걸음 수를 정확히 측정하여 사용자의 운동을 인식하고, 측정된 데이터를 이용하여 운동이 끝난 뒤 발걸음수와 이동거리를 이용하여 사용자의 소모된 칼로리를 정확하게 측정할 수 있는 방법을 제시하였다.

• The KIPS Transactions:PartD
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• v.15D no.1
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• pp.139-146
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• 2008

It is very important to identify useful web user group and induce their behavior pattern in eCRM domain. Inducing user group with a similar inclination, a reliability of user group decreases because there is an uncertainty in online user data. In this paper, we have applied the 2-tier clustering, which uses the outcome of interaction with data from other tiers. Also we propose a method which induces user behavior pattern from a cluster and compare C4.5 with our method.

• Cartoon and Animation Studies
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• s.36
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• pp.643-667
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• 2014

Recently, shooting photographs have become highly popular among general public and been used by various media such as digital camera, mobile, and kiosk. We could find that users prefer to Funology which is combined by fun and hardware technology on emotional point of view. Shooting photographs attracts user participation and makes effect of design to expand. The goal of this study is to classify user actions in a electronic kiosk which includes digital photography function based on the perspective of Funology and to bulit user behaviors model. Therefore user group model will be defined, and then interaction design guidelines of shooting photographs will be proposed. For this research, first of all, the concepts of Funology and user interaction with taking photographs are classified to three types which is based on literature investigation. Secondly, "Phodosee" kiosk is examined with Funology design elements which have been categorized beforehand. Then user's behaviors which are shown their interaction with "Phodosee" kiosk are observed and analyzed using video ethnography based on Funology perspectives. Finally, four persona models are suggested based on user's behaviors as follows; 1) to avoid being taken photography, 2) to try to shoot photography, 3) to participate shooting photography and 4) to lead others to take photography. To summarize this study, effects and limitations of Funology design elements using digital photography are discussed and guideline is suggested to improve user experience design.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.690-701
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• 2013

With the increasing adoption of social network services (SNS), the cultural and art industry is also embracing SNS as an important tool of marketing. Users can share various cultural experiences on SNS easily, and companies can analyze SNS to understand the users for effective marketing. Based on this background, this study analyzed users' behavior and attitude about movies according to SNS usage types. Users of SNS were surveyed and clustered into 'information seekers', 'fun seekers', and 'relationship seekers'. Next, the behavior of the users in each cluster was compared regarding information search about movies, preferred online advertisement channels, and post-watching behavior. The results showed that the SNS usage type has significant relationship with the behavior and attitude about movies. This suggests that movie industry can establish effective online marketing strategy by analyzing SNS usage of users.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.91-92
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• 2007

사용자의 행동 모니터링에 대한 이전의 기술적인 연구는 네트워크 트래픽과 데이터베이스 접근 형태에 집중되어 왔다. 이전의 연구는 자료를 공유하고 교환하는 것 같은 사용자들 사이의 상호작용을 관찰하는 부분에 있어서는 부족하다. 즉, 사용자와 사용자의 행동 정보를 수집하고 그 자료에 바탕을 두고 상호작용을 시각적으로 관찰할 수 있어야 한다. 따라서 수집된 자료의 좀 더 분석적인 관찰을 위해서 지금까지의 개발되고 사용된 여러 가지 컴포넌트를 사용하여 이 같은 상호작용을 여러 가지 형태의 그래프로 표현할 수 있는 그래픽 툴을 개발한다.

• The KIPS Transactions:PartA
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• v.17A no.4
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• pp.181-188
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• 2010

In this study, we suggest the system to analyze network users' action patterns by using Data-Mining Technique. We installed Network Tap to implement the analysis system of network action and copied the network packet. The copied packet is stored at the database through MainMemoryDB(MMDB) of the high-speed. The stored data analyze the users' action patterns by using Data-Mining Technique and then report the results to the network manager on real-time. Also, we applied the standard XML document exchange method to share the data between different systems. We propose this action pattern analysis system operated embedded type of SetToBox to install easily and support low price.