• Title/Summary/Keyword: Context of Use

Search Result 1,903, Processing Time 0.026 seconds

Socio-Cultural Environment as a Context and Its Effect on Discourse in Translation

  • Khoutyz, Irina
    • Cross-Cultural Studies
    • /
    • v.24
    • /
    • pp.84-98
    • /
    • 2011
  • This paper aims to analyze the influences of the socio-cultural environment on discourse in translation. To illustrate a deep connection between discourses and societies in which they were produced, communicative patterns of high- and low-context cultures are examined. Though the original version of the translated text comes from a different culture, the translation reflects communicative preferences of the target culture. To uncover some of these preferences, a comparative study of two translations from Russian into English and from English into Russian is conducted. This study, together with further investigation of some more recent translations into Russian, revealed a number of choices affected by translators' cultural background (for example, making the translation more emotionally charged) and current ideological preferences in the society (excessive use of anglicisms).

Standardization of User and Context Information for Responsive Remote User Interface (반응형 원격 사용자 인터페이스를 위한 사용자 정보 및 상황 정보 표준화 동향)

  • Bae, Hyo-Chul;Kim, Min-Uk;Yoon, Kyoungro
    • Journal of the Semiconductor & Display Technology
    • /
    • v.13 no.1
    • /
    • pp.67-72
    • /
    • 2014
  • Recently released digital devices have various characteristics such as different screen sizes or different sensors embedded, according to the purpose of their use. So the device types are fragmented and the software should be independently developed for each devices with different characteristics. RRUI are being developed and standardized in progress to provide UI using user information and context information, as one way of solving the device fragmentation. In this paper, we take a look at various standards that classify and utilize user information and context information for RRUI and try to find correlations between MPEG-UD and RRUI.

An intelligent system for automatic data extraction in E-Commerce Applications

  • Cardenosa, Jesus;Iraola, Luis;Tovar, Edmundo
    • Proceedings of the Korea Inteligent Information System Society Conference
    • /
    • 2001.01a
    • /
    • pp.202-208
    • /
    • 2001
  • One of the most frequent uses of Internet is data gathering. Data can be about many themes but perhaps one of the most demanded fields is the tourist information. Normally, databases that support these systems are maintained manually. However, there is other approach, that is, to extract data automatically, for instance, from textual public information existing in the Web. This approach consists of extracting data from textual sources(public or not) and to serve them totally or partially to the user in the form that he/she wants. The obtained data can maintain automatically databases that support different systems as WAP mobile telephones, or commercial systems accessed by Natural Language Interfaces and others. This process has three main actors. The first is the information itself that is present in a particular context. The second is the information supplier (extracting data from the existing information) and the third is the user or information searcher. This added value chain reuse and give value to existing data even in the case that these data were not tough for the last use by the use of the described technology. The main advantage of this approach is that it makes independent the information source from the information user. This means that the original information belongs to a particular context, not necessarily the context of the user. This paper will describe the application based on this approach developed by the authors in the FLEX EXPRIT IV n$^{\circ}$EP29158 in the Work-package "Knowledge Extraction & Data mining"where the information captured from digital newspapers is extracted and reused in tourist information context.

  • PDF

A Study on Phoneme Extractions and Recognitions for Handwritten Korean Characters using Context-Free Grammar (CFG 방법을 이용한 필기체 한글에서의 자소추출과 인식에 관한 연구)

  • 김형래;박인갑;서동필;김에녹
    • Journal of the Korean Institute of Telematics and Electronics B
    • /
    • v.29B no.9
    • /
    • pp.8-16
    • /
    • 1992
  • This paper presents a method which can recognized the Handwritten Korean characters by using a Context-Free Grammar. The input characters are thinned in order to dwindle the mount of data, the thinned characters are converted into one-dimension strings according to six-forms. when the point of contact among phonemes is found, two phonemes are seperated respectively by marking the index mark (\) at the points. The Context-Free Grammar to input characters is classified into group grammars concerning the similarity of phonemes, input characters are parsed by making use of the Pushdown automata method. As the bent parts in the Handwritten characters are found frequently, We try to correct the bent parts by using the parsing distance measure, which recognize characters according to minium value caused by measuring the weight distance between two sentences. In this experiment, the recognition rate shows 93.8% to 275 Handwritten Korean characters.

  • PDF

The effect of interaction between internationalization and strategic pursuance on the use of foreign currency denominated debt: in the context of Korean MNEs

  • Kim, Soonsung;Chung, Jaiho;Cho, Myeong-Hyeon
    • East Asian Journal of Business Economics (EAJBE)
    • /
    • v.6 no.3
    • /
    • pp.1-15
    • /
    • 2018
  • Purpose - This study investigates the effect of MNEs' characteristics on the use of foreign currency denominated debt in the context of Korean firms. This study examines the relationship between MNEs and the use of foreign debt focusing on the accessibility to the capital market in addition to the motive of hedging against foreign exchange exposure. Research design and methodology - Probit estimation is employed for estimating significant factors in determination of the use of foreign debt by firms. The dependent variable is a dummy variable to indicate whether a firm uses foreign debt or not at the end of 2004. Independent variables include foreign subsidiaries ratio, export to sale, R&D expenditure to sale, and credit rating. Results - The results show that the interaction between the level of internationalization represented by intra-regional diversification and the strategic characteristics embedded in the region of entry affects the use of foreign debt. In case of a high level of diversification within the developing region with a strong pursuit of asset exploitation, MNEs are more likely to use foreign debt, whereas a high level of diversification within the developed region with a strong pursuit of asset seeking, MNEs are less likely to use foreign debt. Conclusions - The differences between MNEs in terms of intra-regional diversification, strategic orientation, and the accessibility to capital markets as well as the hedging motive affect the use of foreign debt.

Effects Characteristics of Mobile Information Service on Satisfaction and Reuse Intention (모바일관광정보서비스의 특성이 만족도와 재사용의도에 미치는 영향)

  • Choi, Hyun-Sik;Park, Jin-Woo
    • The Journal of the Korea Contents Association
    • /
    • v.9 no.9
    • /
    • pp.411-422
    • /
    • 2009
  • The study seeks to explore essential factors that influence tourists' continual usage intentions to mobile tour information services. The variables such as characteristics of tour information service, accuracy, interactivity, context, ubiquitous connectivity, perceived usefulness, perceived ease of use were adopted from previous research and the hypotheses were developed on the basis of Davis's Technology Acceptance Mode(TAM). The survey was conducted by users who have previously experienced mobile tourism information service. Structural equation modeling was used to Investigate the relationships between the factors. The results showed that interactivity, context, perceived usefulness and perceived ease of use were found to have a positive impact on satisfaction. In particular, interactivity and context were found to be the most significant factors that influence reuse intentions. It suggests that increasing context and interactivity to make tourist trust about accuracy, ubiquitous connectivity is better than increasing perceived usefulness and perceived easiness. The identified factors that influence continual usage intentions on mobile services can be useful for analyzing the market trends and suggesting industrial guidelines of mobile services.

Factors Influencing the Adoption of Location-Based Smartphone Applications: An Application of the Privacy Calculus Model (스마트폰 위치기반 어플리케이션의 이용의도에 영향을 미치는 요인: 프라이버시 계산 모형의 적용)

  • Cha, Hoon S.
    • Asia pacific journal of information systems
    • /
    • v.22 no.4
    • /
    • pp.7-29
    • /
    • 2012
  • Smartphone and its applications (i.e. apps) are increasingly penetrating consumer markets. According to a recent report from Korea Communications Commission, nearly 50% of mobile subscribers in South Korea are smartphone users that accounts for over 25 million people. In particular, the importance of smartphone has risen as a geospatially-aware device that provides various location-based services (LBS) equipped with GPS capability. The popular LBS include map and navigation, traffic and transportation updates, shopping and coupon services, and location-sensitive social network services. Overall, the emerging location-based smartphone apps (LBA) offer significant value by providing greater connectivity, personalization, and information and entertainment in a location-specific context. Conversely, the rapid growth of LBA and their benefits have been accompanied by concerns over the collection and dissemination of individual users' personal information through ongoing tracking of their location, identity, preferences, and social behaviors. The majority of LBA users tend to agree and consent to the LBA provider's terms and privacy policy on use of location data to get the immediate services. This tendency further increases the potential risks of unprotected exposure of personal information and serious invasion and breaches of individual privacy. To address the complex issues surrounding LBA particularly from the user's behavioral perspective, this study applied the privacy calculus model (PCM) to explore the factors that influence the adoption of LBA. According to PCM, consumers are engaged in a dynamic adjustment process in which privacy risks are weighted against benefits of information disclosure. Consistent with the principal notion of PCM, we investigated how individual users make a risk-benefit assessment under which personalized service and locatability act as benefit-side factors and information privacy risks act as a risk-side factor accompanying LBA adoption. In addition, we consider the moderating role of trust on the service providers in the prohibiting effects of privacy risks on user intention to adopt LBA. Further we include perceived ease of use and usefulness as additional constructs to examine whether the technology acceptance model (TAM) can be applied in the context of LBA adoption. The research model with ten (10) hypotheses was tested using data gathered from 98 respondents through a quasi-experimental survey method. During the survey, each participant was asked to navigate the website where the experimental simulation of a LBA allows the participant to purchase time-and-location sensitive discounted tickets for nearby stores. Structural equations modeling using partial least square validated the instrument and the proposed model. The results showed that six (6) out of ten (10) hypotheses were supported. On the subject of the core PCM, H2 (locatability ${\rightarrow}$ intention to use LBA) and H3 (privacy risks ${\rightarrow}$ intention to use LBA) were supported, while H1 (personalization ${\rightarrow}$ intention to use LBA) was not supported. Further, we could not any interaction effects (personalization X privacy risks, H4 & locatability X privacy risks, H5) on the intention to use LBA. In terms of privacy risks and trust, as mentioned above we found the significant negative influence from privacy risks on intention to use (H3), but positive influence from trust, which supported H6 (trust ${\rightarrow}$ intention to use LBA). The moderating effect of trust on the negative relationship between privacy risks and intention to use LBA was tested and confirmed by supporting H7 (privacy risks X trust ${\rightarrow}$ intention to use LBA). The two hypotheses regarding to the TAM, including H8 (perceived ease of use ${\rightarrow}$ perceived usefulness) and H9 (perceived ease of use ${\rightarrow}$ intention to use LBA) were supported; however, H10 (perceived effectiveness ${\rightarrow}$ intention to use LBA) was not supported. Results of this study offer the following key findings and implications. First the application of PCM was found to be a good analysis framework in the context of LBA adoption. Many of the hypotheses in the model were confirmed and the high value of $R^2$ (i.,e., 51%) indicated a good fit of the model. In particular, locatability and privacy risks are found to be the appropriate PCM-based antecedent variables. Second, the existence of moderating effect of trust on service provider suggests that the same marginal change in the level of privacy risks may differentially influence the intention to use LBA. That is, while the privacy risks increasingly become important social issues and will negatively influence the intention to use LBA, it is critical for LBA providers to build consumer trust and confidence to successfully mitigate this negative impact. Lastly, we could not find sufficient evidence that the intention to use LBA is influenced by perceived usefulness, which has been very well supported in most previous TAM research. This may suggest that more future research should examine the validity of applying TAM and further extend or modify it in the context of LBA or other similar smartphone apps.

  • PDF

The Impact of Usefulness, Ease of Use, and Satisfaction with ChatGPT on the Intention to Use (ChatGPT의 유용성, 용이성, 만족도가 수용 의도에 미치는 영향)

  • Park Hyejin
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.20 no.3
    • /
    • pp.61-70
    • /
    • 2024
  • This study aimed to analyze the impact of perceived usefulness, ease of use, and satisfaction with ChatGPT on the intention to use it. Data were collected through an online survey, and the results showed differences in perceived usefulness, ease of use, and intention to use according to the demographic characteristics of the research subjects. Furthermore, a multiple regression analysis was conducted to examine the impact of ChatGPT's usability, ease of use, and satisfaction on the intention to use. The results indicated statistically significant differences in perceived usefulness, ease of use, and intention to use ChatGPT between students in different academic years. In addition, perceived usefulness, ease of use, and satisfaction with ChatGPT showed a significant positive influence on the intention to use it. This study is significant as it analyzes the intention to use ChatGPT, considering the role of generative AI in digital education and innovative teaching methods in the educational context.

A Study on the Context-dependent Speaker Recognition Adopting the Method of Weighting the Frame-based Likelihood Using SNR (SNR을 이용한 프레임별 유사도 가중방법을 적용한 문맥종속 화자인식에 관한 연구)

  • Choi, Hong-Sub
    • MALSORI
    • /
    • no.61
    • /
    • pp.113-123
    • /
    • 2007
  • The environmental differences between training and testing mode are generally considered to be the critical factor for the performance degradation in speaker recognition systems. Especially, general speaker recognition systems try to get as clean speech as possible to train the speaker model, but it's not true in real testing phase due to environmental and channel noise. So in this paper, the new method of weighting the frame-based likelihood according to frame SNR is proposed in order to cope with that problem. That is to make use of the deep correlation between speech SNR and speaker discrimination rate. To verify the usefulness of this proposed method, it is applied to the context dependent speaker identification system. And the experimental results with the cellular phone speech DB which is designed by ETRI for Koran speaker recognition show that the proposed method is effective and increase the identification accuracy by 11% at maximum.

  • PDF