• The Journal of Information Systems
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• v.26 no.4
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• pp.39-62
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• 2017

Purpose The purpose of this study is to investigate the factors which affect users' fatigue and reluctant intention of using a SNS. In particular, this study focused on the fatigue of SNS users, as the recent excessive use of SNS has led to negative effects such as invasion of privacy, addition and social overload. fatigue This research will explain how producing adverse effects by using SNS caused psychological and mental depression. Previous researches explained that mental fatigue associated with SNS is not simple one and it is complicated with various psychological factors. Considering this fact, this study introduced a behavioral economics concept and a social comparison theory in the research model. Design/methodology/approach For research purposes, this study developed research hypotheses in order to empirically examine the factors that affect SNS users' fatigue and reluctant intention. The empirical research was based on a poll done through 800 research candidates in the SNS fields and the final 451 responses were collected and used in statistical data analysis. The adaptability, trust, and validity to measurement model were verified and the structural relationship in the research model was analyzed through these 451 responses. Findings First of all, maintenance fatigue of SNS had a positive significant effect on coupling and fatigue of SNS and information privacy had a non-significant effect on fatigue. Second, coupling had a negative significant effect on rational inattention, however, perceived cost had a non-significant effect on rational inattention. Third, lateral/upward comparison had a positive significant on user's negative emotions. Meanwhile, user's negative emotions did not have a significant effect on rational inattention.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.541-547
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• 2007

최근 디지털 컨텐츠의 기하급수적인 증가와 함께 사용자가 접하고 관리해야 하는 파일의 양이 급격히 늘어나고 있으며 이에 따라 폴더의 계층구조가 넓고 깊어지는 현상이 나타나고 있다. 현재 파일시스템은 크게 두 가지 형태로 나누어 볼 수 있는데, 사용자 자신에게 의미 있는(semantic) 계층구조(hierarchical structure)형태의 폴더 내에 파일을 저장하는 방식과 Meta Tag를 사용한 방식이다. 이러한 두 가지 파일시스템을 사용자가 인식하고 Conceptual Model을 형성해 가는 과정에 있어서 사용자의 지리적, 역사적 전통 등의 문화적 요소들이 기저에서 작용하게 된다. 본 연구에서는 각기 다른 문화적 성향을 가지고 있는 사용자 간의 File System을 인식하고 구조화하는데 있어서 차이점이 있을 것이라는 가설을 수립 하였고, 가설을 검증하기 위하여 파일 시스템의 사용 행태를 분류하고, 이러한 행태들이 사용자의 문화적 요소에 따라 어떠한 차이를 보이는지에 대하여 페이퍼 프로토타이핑 등의 기법을 사용하여 실험을 설계 하였다. 또한 이러한 연구모델의 검증을 위하여 파일럿 테스트를 진행하여 실효성 있는 가설검증방법에 대한 모델을 제안하고자 한다.

• Journal of the Korean housing association
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• v.2 no.1
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• pp.69-76
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• 1991

It is the purpose of this study to abtain a basic information about how the users evaluate housing environment. The structural model of housing environment which is employed Repertory Grid Developmental Method is extracted. This model Is composed of 4 classifications : 1) psychological evaluation, 2) visual evaluation, 3) variation, 4) spaciousness.The extracted model can be expected to be used as follows : 1) It is to provide the knowlege of user's evaluation of housing enironment with designers so that they can explore the optimum solution in environ-mental design. 2) It will be an useful data for selecting an evaluation item in psychological evaluation study using SD(Semantic Differential)method. 3) On the physical experiments, it will be an useful data to select an evaluation item.

• Journal of Korean Society of Forest Science
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• v.98 no.4
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• pp.435-443
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• 2009

The purpose of this study is to construct user satisfaction model using factor analysis and regression analysis through survey on various factors which decide users' satisfaction index of OK-SUNG Recreation Forest located in Gumi-city, Kyungbuk (newly opened on Dec, 26, 2007) and to suggest the right operation plans referring to the studies on existing recreation forests. The research results are as follows; The using behavior of recreation forests reported similar pattern to existing researches such as companion pattern, duration of status, ages and costs. The result of construction regression model after dividing of using behavior of recreation forests into two sections, which are physical sector and mental sector, showed that recreation environmental factor and inner recreation factor influenced more highly on satisfaction index. This result showed that the recreation factor, which is for obtaining mental satisfaction and friendship among companions, nature friendly factor and environmental factor more highly influence on the satisfaction index and the existing studies also support this result. Therefore, in order to offer higher standard recreation opportunities to the users, there needs consideration not only concerning experience facilities, walks and paths up a mountain, but also concerning the harmony between nature and facilities. In addition, in order to offer comfort and stableness in body and mind to users, it is necessary to educate and train the staff to offer better service and to maintain the facilities of recreation forest peaceful and calm.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.715-718
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• 2009

Time series data is a sequence of data points, measured typically at successive, spaced at time intervals. Many devices for an efficient exploration is developed according as the items of time series data increase. Among these devices, there is a Timebox widget as a representative device of dynamic query for interactive data exploration. Timeboxes are rectangular query region of interest. The users can draw the region of interest using simple mouse manipulation and the query result sets is displayed. But there is a limitation to represent the concrete query region and Timeboxes visualize the query region inconsistent with the mental model of users. To resolve these problems, we propose a new device called DQB(Dynamic Query Band). DQB is a qeury region consisting of user defined polyline with a thickness on time series data. This device is possible to concretely specify the query region. Also, it provides a simple and convenient interface and a good conceptual model.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.15-24
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• 2023

One of the objectives and aspirations of scientists and engineers ever since the development of computers has been to interact naturally with machines. Hence features of artificial intelligence (AI) like natural language processing and natural language generation were developed. The field of AI that is thought to be expanding the fastest is interactive conversational systems. Numerous businesses have created various Virtual Personal Assistants (VPAs) using these technologies, including Apple's Siri, Amazon's Alexa, and Google Assistant, among others. Even though many chatbots have been introduced through the years to diagnose or treat psychological disorders, we are yet to have a user-friendly chatbot available. A smart generative cognitive behavioral therapy with spoken dialogue systems support was then developed using a model Persona Perception (P2) bot with Generative Pre-trained Transformer-2 (GPT-2). The model was then implemented using modern technologies in VPAs like voice recognition, Natural Language Understanding (NLU), and text-to-speech. This system is a magnificent device to help with voice-based systems because it can have therapeutic discussions with the users utilizing text and vocal interactive user experience.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.321-323
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• 2013

Supporting communications among users, Social Network has encouraged various information flows through relationships among them. This paper studies on mentality or attitude of Social Network Services (SNS for short) users, on the basis of Technology Acceptance Model (TAM for short) and then proposes so-called TAMS, Technology Acceptance Model for Social Network Services. SNS users make full use of SNS as channels in order to create, expand, and obtain some information related to personal concerns. We will research on how the benefits that users get by using SNS exert influence on user-perceived usability. The SNS-using benefits focus on relationship benefits that are formed by interactions among users. Provided that perceived usability affects mental or informational benefits according to involvement of SNS users, we will check how perceived usability or ease of use is connected to brand attitude.

• Journal of the Ergonomics Society of Korea
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• v.26 no.4
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• pp.135-142
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• 2007

Icon conveys symbolic information which they have become ubiquitous as main element of GUI. However, users often cannot intuitively understand its functional meanings. Icon has to be designed for users to easily understand functional meanings. In order to evaluate icon, the spreading activation model can be used to effectively understand the process of information retrieval. In asymmetric spreading activation model is that in the two nodes the degree of spreading activation is different according to direction. Thus, asymmetric spreading activation theory was performed evaluating the strength of association when users see visual image to associate their verbal meaning (visual image - verbal meaning pair) and users see verbal meaning to associate their visual image (verbal meaning - visual image pair). According to the direction, this study hypothesizes that the well-designed icons have symmetric relationship rather than asymmetric relationship between the two pairs. The strength of association is measured through the reaction time and the accuracy rate. In performing SAT (spreading activation test), the ten icons were selected as word processing software icons. After first SAT, newly designed icons were developed based on Korean mental model, and second SAT was conducted using them. The results showed that the accuracy rate of newly designed icon has been improved. Also there is significant difference of reaction time between current icons and newly designed icons. Well-designed icon is confirmed that the strength of association relationship arises symmetrically rather than asymmetrically between the two pairs. User centered icons could be designed by improving the strength of association between the two pairs. Asymmetric SAT evaluates the strength of the association between the visual image and the verbal meanings to contribute to the development of icon which it related to human's association structure.

• Archives of design research
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• v.15 no.3
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• pp.167-180
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• 2002

This study investigates effective ways to help users form a correct mental model of the hierarchical information space (HIS) in small display. The focus is the effect of color cue on understanding the structure and navigating the information space. The concept of color space (CS) corresponds well to the HIS - one color has a unique position in the CS as a piece of information does in HIS. In this study, we empirically examined two types of color cue, namely, categorical and depth cue. Hue was used as a categorical cue and tone was used as a depth cue. In our experiment, we evaluate the effectiveness of the color cues in the mobile internet system. Subjects were asked to perform four searching tasks and four comparison tasks. The results of experiment reveal that the categorical cues significantly improve the user's mental model whereas decrease navigation performances. The depth cues cannot aid in understanding the HIS as well as improve navigation performances. This study concludes with limitations of the study and descriptions of future studies.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.775-793
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• 2023

Human decision-making is a complex behavior. A replication of human decision making offers a potential to enhance the capacity of intelligent systems by providing additional user assistance in decision making. By reducing the effort and task complexity on behalf of the user, such replication would improve the overall user experience, and affect the degree of intelligence exhibited by the system. This paper explores individuals' decision-making processes when using recommender systems, and its related outcomes. In this study, human decision-making (HDM) refers to the selection of an item from a given set of options that are shown as recommendations to a user. The goal of our study was to identify IS constructs that contribute towards such decision-making, thereby contributing towards creating a mental model of HDM. This was achieved through recording Electroencephalographic (EEG) readings of subjects while they performed a decision-making activity. Readings from 16 righthanded healthy avid readers reflect that reward, theory of mind, risk, calculation, task intention, emotion, sense of touch, ambiguity and decision making are the primary constructs that users employ while deciding from a given set of recommendations in an online bookstore. In all 10 distinct brain areas were identified. These brain areas that lead to their respective constructs were found to be cingulate gyrus, precentral gyrus, inferior parietal lobule, posterior cingulate, medial frontal gyrus, anterior cingulate, postcentral gyrus, superior frontal gyrus, inferior frontal gyrus, and middle frontal gyrus (also referred to as dorsolateral prefrontal gyrus (DLPFC)). The identified constructs would help in developing a design theory for enhancing user assistance, especially in the context of recommender systems.