• Science of Emotion and Sensibility
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• v.19 no.4
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• pp.13-20
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• 2016

Recently, life-logging service which has expanded to measure and record the daily life of the users and to share with others are increasing. In particular, as life-logging services based on the application has become popular with the development of wearable-devices and smart-phones, the contents of this service are produced by user behavior and are provided in infographic menu form. The purpose of this paper is to extract user behavior and classify for making contents items of life-logging service. For this paper, the first of all, we discuss the definition and characteristics of life-logging and research the contents based on user behavior related to life-logging by the publications including thesis, articles, and books. Secondly, we extract and classify the user behavior to build the contents for life-logging service. We gather users' action words from publication materials, researches, and contents of existing life-logging service. And then collected words are analyzed by FGI (Focus Group Interview) and survey. As the result, 39 words which suit for contents of life-logging service are extracted by verify suitability. Finally, the extracted 39 words are classified for 19 categories -'Eat', 'Keep house', 'Diet', 'Travel', 'Work out', 'Transit', 'Shoot', 'Meet', 'Feel', 'Talk', 'Care for', 'Drive', 'Listen', 'Go online', 'Sleep', 'Go', 'Work', 'Learn', 'Watch' - which are suggested by the surveys, statistical analysis, and FGI. We will discuss the role and limitations of this results to build contents configuration based on life-logging application in this study.

• Archives of design research
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• v.19 no.1 s.63
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• pp.317-328
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• 2006

So far, the behaviors of Web users have been predicted or analyzed mostly by their demographic characteristics or by considering in which context they gain access to that. But now there is a question about whether those characteristics are the only factors to trigger their use of Web. If the answer is not affirmative, what types of additional factors could cause such an action and how they characterize it should be discussed. User profile information has been considered one of the crucial elements to define user characteristics in user-centered UI design sector, and in order to apply it to UI design, it's needed to meditate on the above-mentioned questions. In this study, it's first attempted to have a good understanding of the users of different media and to review existing user classification methods. Next, user classification variables and relevant scales were prepared to sort out users according to their type of using Web, and case study was conducted to identify the behavioral characteristics of users and classify them according to their behavioral features. Finally, the user profile features of individual user groups were figured out based on data that were gathered by making an experiment, and data mapping was fulfilled between the behavioral characteristics and user profile characteristics to find out what types of behaviors were caused by the characteristics of user profile. As a result, it's found that user characteristics could have an impact on not only their general information and relevant contexts but their attitude of using different media and personality type. There were some problems with the experimental design, but more accurate information on the relationship of user behaviors to user profile characteristics will be obtained if those problems are eliminated. As user behaviors could be predicted only by user profile characteristics, user classification is expected to make a contribution to enhancing the efficiency of UI design.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.1036-1041
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• 2008

본 연구는 UCC를 이용하는 동기와 UCC전문 사이트의 웹 사이트 속성 및 UCC컨텐츠 속성과 UCC이용 행태간의 관계를 살펴보았다. 그 결과, 정보추구, 오락, 사회, 경제적 UCC이용동기에 따라 UCC사이트에서 중요시하는 속성, 컨텐츠에서 중요시하는 속성이 다르게 나타났다. 이 결과를 통해 좀 더 사용자 친화적인 UCC사이트 개발로 경쟁력 확보 및 차별화 방안을 모색해 보고자 한다.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.94-104
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• 2022

As the audio content market grows due to the spread of the AI speaker market and the influence of connected cars, the demand for podcast service is increasing. Therefore, in this study, the behaviors of podcast users were identified and the user types were classified. In the background study, podcast usage motives and user types were studied, and they were referred to when making the questionnaire. In the survey, preferred audio content was identified according to the situation, and in the in-depth interview, the user type and insights were derived by identifying the audio service usage behavior. As a result of the survey, there was little difference between preferred content for single listening and multitasking, but the difference in preferred content according to time period was statistically significant. The three user types derived from the in-depth interview were divided into users who listen alone for the purpose of study, find and listen to useful information quickly while on the go, and multitask and listen to the light and comfortable contents. It is expected that the results of this study will be an important reference for designing an audio content platform to improve user experience.

• Journal of the HCI Society of Korea
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• v.12 no.2
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• pp.5-12
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• 2017

The forms of emoticon - a symbolic tool which expresses a person's sentiments and emotions in virtual space - have been diversifying by the growth of the mobile market. In light of this phenomenon, a number of studies about emoticon have been conducting in Korea. Nevertheless, those are limited not only to a certain form of emoticon which is combinations of symbolic characters but to the functional aspect of emoticon. Thus, this research focused on the image-form emoticon which is the most highly used, and on the user's perspective rather than functional. It is (1)found out the motive of using image-form of emoticon, and (2)explored the attitude and using behaviors toward emoticon based on the motives found. Moreover, this study (3)examined if there is a gender effect and intimacy effect. As a result, the motives of the emoticon-users were to express their emotions, to show their intimacies to the receivers, to manage their images, and to supplement text-based messaging. Two of the motives - expressing emotions and expressing intimacy - had a positive effect on the attitude and the frequency of emoticon-use. It is also found that the higher intimacy users feel toward the receivers, the better the attitude they have as well as the more frequent they use emoticon. This study suggests practical implications of emoticon as a growing communication tool by identifying the motives of using it. And it also contributes to examine the effect of the motives and intimacy on the attitude and the actual behavior of using emoticon.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.460-464
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• 2008

To improve and optimize user interfaces of the system, the accurate understanding of users' behavior is an essential prerequisite. Direct questions depend on user' s ambiguous memory and usability tests depend on the researchers' intention instead of users'. Furthermore, they do not provide with natural context of use. In this paper we described the work which examined users' behavior through log analysis in their own environment. 50 users were recruited by consumer segmentation and they were downloaded logging-software in their mobile phone. After two weeks, logged data were gathered and analyzed. The complementary methods such as a user diary and an interview were conducted. The result of the analysis showed the frequency of menu and key access, used time, data storage and several usage patterns. Also, it was found that users could be segmented into new groups by their usage patterns. The improvement of the mobile phone user interface was proposed based on the result of this study.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.395-403
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• 2016

This study investigates SNS usage behaviors of SNS users with a change of SNS use environment and an increase of users. This study compares the difference of use motivation, preferred type, and main use SNS according to socio-demographic variable of SNS users using cross tabulation analysis and also conducts a comparative analysis of main use SNS of each SNS user using correspondence analysis. The results show main use motivation of SNS is relationship seek, most preferred type is closed type, and main use SNS is Kakaostory. Next, we find that there are differences on use motivation, preferred type, and main use SNS, depending on the socio-demographic characteristics of SNS users. The result of correspondence analysis shows how users are using SNS services and what structure their competitive relations of SNS services are made. In the conclusion, the study presents summary of the findings, implications, and tasks for further studies.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.379-389
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• 2020

This is a qualitative study about Google 'Nest Hub Max' that displays proactive intelligent personal assistant. Following the step of grounded theory, an in-depth interview for 6 users who had used this device for a month was taken. 186 concepts were discovered, categorized as 11 top-categories and 24 sub-categories. Paradigm diagram, considering axis-coding, was made and it have been narrowed down to 'Usage patterns' of proactive IPA, considering selective coding aspects. 'Usage patterns' were divided to passive and active user. Thus, neither passive user nor active user was satisfied about device and proactive IPA. This study is meaningful that it constructed basic data about the user experience of proactive IPA on this device. It will support the device or service that consists proactive IPA in the future.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.65-67
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• 2016

본 연구는 한국과학기술정보연구원의 사업별 과학기술정보 수요와 이용 행태에 관한 기초연구로 산업계 및 학계의 과학기술 연구자 정보 이용 특성 및 이용 행태를 분석하여 한국과학기술정보연구원 (KISTI)의 주요 서비스에 고객 정보 이용 특성을 분석하는데 기초자료로 활용하고자 진행되었다. 본 연구를 위해 과학기술 정보 유통이 국가산업 생산력과 학술 연구의 경쟁력 기반이라는 사실을 인지하고 과학정보시스템 구축을 위한 기술정보정책을 수립하고 강화하는 노력이 계속되었으나 과학기술분야 연구자의 요구가 전문화되고 더운 세분화되고 전문화된 수준 높은 서비스를 요구된다고 본다. 또한 차별화된 정보서비스 제공을 위하여 이용자의 정보 이용형태와 특성 분석 및 기존 사용자 유형 분석을 통한 정보시스템 운영 개편이 필요하여 추진하였다.

• Journal of the HCI Society of Korea
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• v.13 no.3
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• pp.43-53
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• 2018

Facebook, which has the largest number of users worldwide, has both positive and negative effects on our lives and society. The positive effects include social support from others, relationship building, entertainment, etc. In contrast, Facebook users also experience negative emotions such as tiredness and irritation, resulting in dissatisfaction as well as withdrawal from Facebook. The current study investigates both positive and negative effects of the use of by different demographic characteristics (i.e., age and gender), Facebook usage pattern (i.e., posters vs. lurkers), and Facebook usage time and frequency. The results show that (1) female users (vs. male users) feel higher level of fatigue and display stronger intention to discontinue Facebook. Moreover, (2) posters (vs. lurkers) feel higher level of positive emotions and social support, and stronger intention to continue Facebook. Lastly, (3) heavy users (vs. light users) exhibit higher level of positive emotions and stronger intentions to continue Facebook. This research sheds light on the fact that the characteristics of users affect individuals' intention to discontinue SNS and offers practical implications on the ever-expanding SNS market.