• Title/Summary/Keyword: Users' Interactions

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The Value Formation of Digital Image by Users' Interaction in Online Games (온라인게임에서 사용자 인터랙션에 의한 디지털 이미지의 가치 형성에 관한 연구)

  • Yoo Wang-Yun
    • Journal of Game and Entertainment
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    • v.2 no.2
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    • pp.17-24
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    • 2006
  • Online games take place by the interactions among users and their contents change endlessly with their organic characteristics. Especially, digital images that make a great impact on game play such as characters or items form their own value beyond the establishment scope of their designer even outside of the game world. The users who pay fees for using them establish the concept of possession for the images and information designed in the games. Then, business transactions are formed among them who are in agreement with their values and their possession rights can be changed. In this way, digital images in the online games form new values by the interaction among other users or game systems. Meanwhile, the more the interaction and a sense of solidarity in the community increase, the higher their value becomes.

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A Portable Mediate Interface 'Handybot' for the Rich Human-Robot Interaction (인관과 로봇의 다양한 상호작용을 위한 휴대 매개인터페이스 ‘핸디밧’)

  • Hwang, Jung-Hoon;Kwon, Dong-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.8
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    • pp.735-742
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    • 2007
  • The importance of the interaction capability of a robot increases as the application of a robot is extended to a human's daily life. In this paper, a portable mediate interface Handybot is developed with various interaction channels to be used with an intelligent home service robot. The Handybot has a task-oriented channel of an icon language as well as a verbal interface. It also has an emotional interaction channel that recognizes a user's emotional state from facial expression and speech, transmits that state to the robot, and expresses the robot's emotional state to the user. It is expected that the Handybot will reduce spatial problems that may exist in human-robot interactions, propose a new interaction method, and help creating rich and continuous interactions between human users and robots.

Computational Trust and Its Impact over Rational Purchasing Decisions of Internet Users

  • Noh, Sang-Uk
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.4
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    • pp.547-559
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    • 2010
  • As web-based online communities are rapidly growing, the agents in the communities need to know their measurable belief of trust for safe and successful interactions. In this paper, we propose a computational model of trust resulting from available feedbacks in online communities. The notion of trust can be defined as an aggregation of consensus given a set of past interactions. The average trust of an agent further represents the center of gravity of the distribution of its trustworthiness and untrustworthiness. Furthermore, we precisely describe the relationships among reputation, trust and average trust through concrete examples showing their computations. We apply our trust model to online social networks in order to show how trust mechanisms are involved in the rational purchasing decision-making of buyers and sellers, and we summarize our simulation results.

Practice Guideline of Use of Benzodiazepines in Psychiatric Field (정신과 영역에서 벤조다이아제핀계 약물의 사용과 문제점)

  • Oh Kang-Seob
    • Anxiety and mood
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    • v.1 no.1
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    • pp.37-42
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    • 2005
  • Benzodiazepines are widely used for a variety of conditions in psychiatric field. In this article, the author reviewed the indications, the effects on anxiety and sleep disorders, the side effects, the drug-drug interactions, and the tapering strategies. Benzodiazepines were relatively safe and useful for the treatment of anxiety and sleep disorders. However, used clinically, benzodiazepines can induce many adverse effects (e. g. over-sedation, cognitive impairments, paradoxical effects, dependence and withdrawal symptoms, and so on). Currently available informations about their effects on the developing fetus is controversial. For this reason, pregnant women and nursing mother should be cautioned against the use of benzodiazepines. Drug-drug interactions have to be considered in combination treatments. For the tapering issues, gradual tapering was important to prevent the withdrawal symptoms. Especially, the tapering schedules have to be individualized for the each long-term benzodiapzepine users.

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The Effect of Online Community's Interactivity, Reward, Commitment and Loyalty on Purchase Intention in Portal Sites (포털사이트에서 온라인 커뮤니티의 상호작용성, 보상, 몰입과 충성도가 구매의도에 미치는 영향)

  • Ahn, Tae-Youn;Kim, Jong-Uk
    • Journal of Information Technology Services
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    • v.5 no.3
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    • pp.25-43
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    • 2006
  • This research studied the interactions of online communities, reward, commitment and loyalty to purchase intention in portal sites based on relevant theories. Data were collected from the users who had purchase experiences in potal sites to analyze the effects of interactions and loyalty. An empirical analysis regarding the hypothesized structural equation model was performed using SPSS 10.0 and PLS Graph 3.0. As the result, the interactivity of communities was found significant to commitment and loyalty, the reward of community was shown to significantly influence commitment, but not loyalty. And the commitment and loyalty of community were shown to have much effects on purchase intention. Finally, trust on portal sites were found to have an interaction effect on purchase intention.

Improved Cold Item Recommendation Accuracy by Applying an Recommendation Diversification Method (추천 다양화 방법을 적용한 콜드 아이템 추천 정확도 향상)

  • Han, Jungkyu;Chun, Sejin
    • Journal of Korea Multimedia Society
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    • v.25 no.8
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    • pp.1242-1250
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    • 2022
  • When recommending cold items that do not have user-item interactions to users, even we adopt state-of-the-arts algorithms, the predicted information of cold items tends to have lower accuracy compared to warm items which have enough user-item interactions. The lack of information makes for recommender systems to recommend monotonic items which have a few top popular contents matched to user preferences. As a result, under-diversified items have a negative impact on not only recommendation diversity but also on recommendation accuracy when recommending cold items. To address the problem, we adopt a diversification algorithm which tries to make distributions of accumulated contents embedding of the two items groups, recommended items and the items in the target user's already interacted items, similar. Evaluation on a real world data set CiteULike shows that the proposed method improves not only the diversity but also the accuracy of cold item recommendation.

Semiotic Interpretation of Beauty Camera App Interface Design Elements: Centered on Roland Barthes' Semiotics

  • Yongfeng Liu
    • International Journal of Advanced Culture Technology
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    • v.12 no.3
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    • pp.213-224
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    • 2024
  • This study utilizes Roland Barthes' semiotic theory to explore how interface design elements of beauty camera apps, such as filters and stickers, icons and buttons, layout and structure, function as symbols of self-expression, and their impact on users' social identity and personal image. Through in-depth analysis of applications like BeautyPlus, Ulike, MeituPic, and Faceu, this research found that these apps emphasize usability, visual appeal, and social interactivity in their design. These elements not only enhance user experience and operational efficiency but also reflect popular cultural trends and aesthetic preferences. From Barthes' perspective, these interface elements have become "myths" with specific social meanings, which are naturalized in daily use and promote the widespread acceptance of particular aesthetic standards. These interface design elements are not just tools for self-expression; they are also powerful cultural symbols that shape modern social interactions and visual culture. This research offers a new perspective to understand the interactions between individuals and society in the digital age, emphasizing the role of technology, culture, and social interaction in shaping contemporary human behavior and social relationships.

An Adaptive Recommendation System for Personalized Stock Trading Advice Using Artificial Neural Networks

  • Kaensar, Chayaporn;Chalidabhongse, Thanarat
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.931-934
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    • 2005
  • This paper describes an adaptive recommendation system that provides real-time personalized trading advice to the investors based on their profiles and trading information environment. A proposed system integrates Stochastic technical analysis and artificial neural network that incorporates an adaptive user modeling. The user model is constructed and updated based on initial user profile and recorded user interactions with the system. The information presented to each individual user is also tailor-made to fit the user's behavior and preference. A system prototype was implemented in JAVA. Experiments used to evaluate the system's performance were done on both human subjects and synthetic users. The results show our proposed system is able to rapidly learn to provide appropriate advice to different types of users.

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Guidelines for Satisfactory Flick Performances in Touch Screen Mobile Phone (풀터치 휴대폰의 플릭(Flick) 성능에 대한 평가 및 가이드라인)

  • Kim, Huhn
    • Journal of the Ergonomics Society of Korea
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    • v.29 no.4
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    • pp.541-546
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    • 2010
  • The gesture 'Flick' is the most fundamental and important part for efficient interactions in the touch screen that are being extensively applied to mobile phones. This study investigated users' satisfaction of the flick operation in representative touch phones, and measured their performances with established three measures: gap between finger and initial cursor, the number of moved lists per 0.2 seconds, and the number of moved lists after ten continuous flicks. The measurement was performed with high speed camera and motion analysis software. The flick movement in mobile phone with high users' satisfaction showed that the gap between finger and cursor positions was less and the speed reached high within 0.6 seconds quickly and then was drastically slow down. Especially, maximal and common time intervals between continuous flicks were measured with an experiment. Based on the evaluation and measurement, several design guidelines for efficient flick performances were suggested.

A Quantitative Assessment of Organizational Factors Affecting Safety Using System Dynamics Model

  • Yu Jaekook;Ahn Namsung;Jae Moosung
    • Nuclear Engineering and Technology
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    • v.36 no.1
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    • pp.64-72
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    • 2004
  • The purpose of this study is to develop a system dynamics model for the assessment of the organizational and human factors in a nuclear power plant which contribute to nuclear safety. Previous studies can be classified into two major approaches. One is the engineering approach using tools such as ergonomics and Probability Safety Assessment (PSA). The other is the socio-psychology approach. Both have contributed to find organizational and human factors and to present guidelines to lessen human error in plants. However, since these approaches assume that the relationship among factors is independent they do not explain the interactions among the factors or variables in Nuclear Power Plants. To overcome these restrictions, a system dynamics model, which can show cause and effect relationships among factors and quantify the organizational and human factors, has been developed. Handling variables such as the degree of leadership, the number of employees, and workload in each department, users can simulate various situations in nuclear power plant organization. Through simulation, users can get insights to improve safety in plants and to find managerial tools in both organizational and human factors.