• Title/Summary/Keyword: 사용자 경험특성

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Video Classification Based on Viewer Acceptability of Olfactory Information and Suggestion for Reality Improvement (시청자의 후각정보 수용 특성에 따른 영상분류와 실감증대를 위한 제안)

  • Lee, Guk-Hee;Choi, Ji Hoon;Ahn, Chung Hyun;Li, Hyung-Chul O.;Kim, ShinWoo
    • Science of Emotion and Sensibility
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    • v.16 no.2
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    • pp.207-220
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    • 2013
  • For video reality improvement, there has been much advancement in the methods of providing visual, auditory, and tactile information. On the other hand, there is little research on olfaction for video reality because it is difficult to define and knotty to manipulate. As a first step for video reality improvement using olfactory information, this research investigated users' acceptability of smell when they watch videos of various kinds and then classified the video clips based on their acceptability of different criteria. To do so, we first selected three questions of whether the scene in the video appears to have an odor (odor presence), whether a matching odor is likely to improve a sense of reality (effect on sense of reality), and whether s/he would like a matching odor to be present (preference for the matching odor). Then after collecting 51 video clips of various genres that would receive either high or low ratings for the questions above, we had participants to watch the videos and rate them for the above three questions on 7-point scale. For video classification, we paired each two questions to construct 2D space to draw scatterplot of video clips where the scales of the two questions represent X or Y axis. Clusters of video clips that locate at different quadrants of the 2D space would provide important insights in providing olfactory information for video reality improvement.

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Wireless Water Leak Detection System Using Sensor Networks (센서네트워크를 이용한 무선 누수 탐지 시스템)

  • Choi, Soo-Hwan;Eom, Doo-Seop
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.3
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    • pp.125-131
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    • 2011
  • Water leak detection system is a system based on wireless sensor networks(WSNs) which detect a leak on water supply, localize the leak position and finally inform a water management center. A traditional leak detection method is to use experienced personnel who walk along a pipeline listening to the sound that is generated by the leaks and their effectiveness depend on the experience of the user. Also making more successful detection, it should be processed at middle of the night when people do not use water, as the result users have to operate the leak detection system at midnight. In this paper, we propose a new method for the water leak detection system based on the WSNs and describe it in detail. Leak detection devices which detect a leakage of water transmit and receive the result of water leak detection with each other by configuring WSNs to improve reliability of the detection result. Also, we analyzed the sound from water flowed in pipeline, proposed the pre-signal processing to separate a leakage sound from noisy sound. And lastly, It is especially important to make a time synchronization with water leak detection devices that are installed on the pipeline, we used 1PPS(1 Pulse Per Second) signal generated by GPS, therefore we could get a precise time synchronization. The proposed system set up in Namyangju and performances were evaluated.

TYME: Interactive Typography for a poetic expression in Multimedia Environment (TYME: 멀티미디어 환경에서 시적 표현을 위한 인터랙티브 타이포그래피)

  • Hwang, Sh-Mong
    • Archives of design research
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    • v.19 no.6 s.68
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    • pp.27-32
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    • 2006
  • TYME is an interactive typography program based on the ephemeral nature of time. It is a text based poetic tool, built with Processing. This project is presented as a performance that utilizes a computer with a display screen, a projector, and speakers. As the user types, white characters appear, flow on the score on the screen and trigger jazz sounds, then characters disappear into black space in several seconds on the screen like smoke. Typography from this invented instrument is evocative and wistful, and allows the user to associate with ephemeral time. While typing the characters as though playing an instrument at intervals of time, the user can freeze the motion and print out or save otherwise fleeting moment with a button. I intend to contain both characteristics: the amorphous shape of smoke and the elusive attribute of smoke for the expression of intangible and ephemeral time. Every alphabetic shape is derived from the video dips that I shot of smoke. The resulting alphabetic images are then programmed using the Processing scripting language and which can then be typed on the screen with a keyboard. TYME could be a model as a project that reflects the unfixed quality of digital typography, and as a design approach for interactive expressive typography by scripting code. This project also represents the characteristics of typographic play, which can be realized in an computational environment like this model.

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Influence Factors of Online-Based Interpersonal Relationships by Developmental Level -Centered on Social Networking Service Users - (대인관계 발달 단계에 따른 온라인기반 대인관계에 미치는 영향요인 - 소셜네트워크 서비스(SNS) 사용자를 중심으로 -)

  • Heo, Song-Ji;Kim, Ja-Young;Jang, Hee-Jin;Ko, Hye-Young;Park, Su-E
    • Journal of Korea Game Society
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    • v.12 no.2
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    • pp.75-89
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    • 2012
  • In this paper, the correlation which is at work between affecting factors and interpersonal relationships' dimension depend on developmental level has been studied to search for clues about how to develop the online based interpersonal relationships -the fundamental aims of SNS related services- efficiently. People who'd ever entered into a relation through the 'online-based generated relationship' by SNS were divided into two groups on the development level. They were conducted a survey, and the results were derived using PLS statistics. As the result, 7 kinds of factors as social attraction, physical attraction, reciprocity, content quality, coexistence perception, information provision and similarity had an impact on the initial level of relationships, and 6 kinds of factors as social attraction, physical attraction, reciprocity, content quality, web appearance and coexistence perception had an impact on the developed level of relationships. This study could be utilized for the service design for facilitating interpersonal relationships efficiently by their level of development.

Design and Performance Evaluation of Offset Time Decision Algorithm for Guaranteeing the QoS in Optical Burst Switching Networks (광 버스트 스위칭 망에서 QoS 보장을 위한 Offset 시간 결정 알고리즘 설계 및 성능 평가)

  • So, Won-Ho;Cha, Yun-Ho;Roh, Sun-Sik;Kim, Young-Chon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.1C
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    • pp.1-10
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    • 2002
  • With the explosive growth of the number of Internet users and Internet-related services, the research on construction of broadband Optical Internet by using WDM technologies is actively is actively progressed. In this paper, we design the offset time decision (OTD) algorithm for supporting the QoS in optical networks based on optical burst switching (OBS), which is the new switching paradigm, and evaluate the performance of it. The proposed algorithm determines a reasonable offset time considering traffic load of network and the number of wavelengths to guarantee the burst loss rate (BLR) of high priority Internet traffic as a QoS parameter. In order to design the proposed OTD algorithm, firstly we make the new burst loss formula, which includes the effect of offset time. The decision of offset time corresponding to the requested BLR, however, should use the reverse formula of proposed one, thus we are not able to use it without any changes. In this paper, we define the heuristic loss formula (HLF) that can be changed into reversed formula by using the proposed formula and proportional equation considering its characteristics. Finally we show the OTD algorithm to decide the offset time by using HLF. We show that the requested BLR is guaranteed under various traffic load with the determinded offset time by using the proposed OTD algorithm.

An Analysis of Customer Preferences of Recommendation Techniques and Influencing Factors: A Comparative Study of Electronic Goods and Apparel Products (추천기법별 고객 선호도 및 영향요인에 대한 분석: 전자제품과 의류군에 대한 비교연구)

  • Park, Yoon-Joo
    • Information Systems Review
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    • v.18 no.2
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    • pp.59-77
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    • 2016
  • Although various recommendation techniques have been applied to the e-commerce market, few studies compare the intent to use these techniques from the customer's perspective. In this paper, we conduct a comparative analysis of customers' intention to use five recommendation techniques widely adapted by online shopping malls and focus on the differences in purchasing electronic goods and apparel products. The recommendation techniques are as follows: best-seller recommendation, merchandiser recommendation, content-based recommendation, collaborative filtering recommendation, and social recommendation. Additionally, we examine which factors influence customer intent to use the recommendation services. Data were collected through a survey administered to 220 e-commerce users with prior experience with recommendation services. Collected data were examined using analysis of variance and regression analysis. Results indicate statistically significant differences in customers' intention to use recommendation services according to the recommendation technique. In particular, the best-seller recommendation technique is preferred when purchasing electronic goods, whereas the content-based recommendation technique is preferred for apparel purchases. Factors such as personal characteristics and personality, purchasing tendency, as well as perception of the product or recommendation service affect a customer's intention to use a recommendation service. However, the influence of these factors varies depending on the recommendation technique. This study provides guidelines for companies to adopt appropriate recommendation techniques according to product categories and personal characteristics of customers.

Optimal Moving Pattern Mining using Frequency of Sequence and Weights (시퀀스 빈발도와 가중치를 이용한 최적 이동 패턴 탐사)

  • Lee, Yon-Sik;Park, Sung-Sook
    • Journal of Internet Computing and Services
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    • v.10 no.5
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    • pp.79-93
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    • 2009
  • For developing the location based service which is individualized and specialized according to the characteristic of the users, the spatio-temporal pattern mining for extracting the meaningful and useful patterns among the various patterns of the mobile object on the spatio-temporal area is needed. Thus, in this paper, as the practical application toward the development of the location based service in which it is able to apply to the real life through the pattern mining from the huge historical data of mobile object, we are proposed STOMP(using Frequency of sequence and Weight) that is the new mining method for extracting the patterns with spatial and temporal constraint based on the problems of mining the optimal moving pattern which are defined in STOMP(F)[25]. Proposed method is the pattern mining method compositively using weighted value(weights) (a distance, the time, a cost, and etc) for our previous research(STOMP(F)[25]) that it uses only the pattern frequent occurrence. As to, it is the method determining the moving pattern in which the pattern frequent occurrence is above special threshold and the weight is most a little bit required among moving patterns of the object as the optimal path. And also, it can search the optimal path more accurate and faster than existing methods($A^*$, Dijkstra algorithm) or with only using pattern frequent occurrence due to less accesses to nodes by using the heuristic moving history.

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A Study on the Current Situation and Problems of Agricultural Products e-Commerce in Korea (B2B 농산물 전자상거래 활성화 방안과 과제에 관한 연구)

  • Kim, Kyu-Hyong;Lee, Moon-Seok
    • International Commerce and Information Review
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    • v.13 no.1
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    • pp.29-52
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    • 2011
  • A predictable and manageable output is desirable for most businesses. However, it is very difficult to control the quality and quantity of products in the food and agriculture business. Predictable outputs help managers plan their marketing, sales, and inbound and outbound logistics, but these are not easy to achieve in the food and agriculture business. Various industries have adopted different levels of automation and utilization of information systems for quality/quantity control; however e-Commerce of the food and agriculture industry is far behind those of other industries. Today, the food and agriculture industry is supposed to be more integrated than ever in order to reduce risks and improve processing costs, from farm to table. Since its operations including production, processing, storage, distribution, and management are dispersed all over the world, the food and agricultural industries now depend more on IT than other industries. This study attempts to develop a framework to analyze the current situation of agricultural product e-Commerce in Korea, and finds out the actual situation of the farmers operating on-line shopping systems through the developed framework and suggests some improvements.

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A Study on the Influencing Factors of Online Word-of-Mouth Adoption in the Mobile Applications Market (모바일 애플리케이션 마켓에서 온라인 구전 수용에 영향을 미치는 요인에 관한 연구)

  • Ha, Na-Yeun;Kim, Kyung-Kyu;Lee, Ho
    • Journal of Information Management
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    • v.43 no.1
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    • pp.109-134
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    • 2012
  • This study, focusing on process of online Word-of-Mouth(oWOM) adoption in applications market which is a major issue of recent mobile industry, tried to empirically analyze how main characteristics of oWOM affect trust and process of oWOM adoption. To do this, based on understanding about applications market and precedent studies on online communication and Elaboration Likelihood Model(ELM), I developed the research model and proposed seven hypotheses. The subjects were smart phone users who ever used review in mobile applications market. The study method was questionnaire survey. As a result, trust in review was suggested as prerequisite for consumers to accept on-line review in mobile applications market. And it was empirically proved that for the customers to feel trust, these are necessary - positive assessment on argument quality, vividness of delivered explanation, and neutrality of message. The theoretical implications of this study are that based on studies on oWOM, factors affecting trust in review were explored in the environment of mobile applications market with less judgement clues for decision making compared to other on-line media and then, these factors were conceptualized. From the practical view, this study suggested implication on what attributes companies or developers can strategically utilize while investigating prerequisites of oWOM adoption.

The Differential Impacts of Positive and Negative Emotions on Travel-Related YouTube Video Engagement (유튜브 여행 동영상의 긍정적 감정과 부정적 감정이 사용자 참여에 미치는 영향)

  • Heejin Kim;Hayeon Song;Jinyoung Yoo;Sungchul Choi
    • Journal of Service Research and Studies
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    • v.13 no.3
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    • pp.1-19
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    • 2023
  • Despite the growing importance of video-based social media content, such as vlogs, as a marketing tool in the travel industry, there is limited research on the characteristics that enhance engagement among potential travelers. This study explores the influence of emotional valence in YouTube travel content on viewer engagement, specifically likes and comments. We analyzed 4,619 travel-related YouTube videos from eight popular tourist cities. Using negative binomial regression analysis, we found that both positive and negative emotions significantly influence the number of likes received. Videos with higher positive emotions as well as negative emotions receive more likes. However, when it comes to the number of comments, only negative emotions showed a significant positive influence, while positive emotions had no significant impact. These findings offer valuable insights for marketers seeking to optimize engagement strategies on YouTube, considering the unique nature of travel products. Further research into the effects of specific emotions on engagement is warranted to improve marketing strategies. This study highlights the powerful impact of emotions on viewer engagement in the context of social media, particularly on YouTube.