• Korean Journal of Child Studies
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• v.24 no.5
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• pp.91-104
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• 2003

This study analized the strategies in beginning readers by age and reading ability. Sixty 4-and 5-year old subjects took a reading test based on Bsatjes & Brown(1997) and Park, et a1.(1989). They read contextual and non-contextual storybooks. Errors in oral reading were recorded as mispronunciations, substitutions, omissions, insertions, teacher-assistance and self-corrections. Mispronunciations and substitutions were Specifically evaluated for graphic and contextual reading strategies. Data were analyzed by percentage and mean. Results revealed that children made more mispronunciation errors in reading the non-contextual story book. They used graphic information more than contextual information. Fine-year olds and high-level readers developed the use of graphic and contextual cues simultaneously.

• Proceedings of the KSPS conference
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• 2003.10a
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• pp.3-16
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• 2003

ㆍAcoustic characteristics of stops in speech with contextual variability ㆍPosibility of stop recognition by post processing technique ㆍFurther work - Speech database - Modification of decoder - automatic segmentation of acoustic parameters

• Proceedings of the KIEE Conference
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• 1990.07a
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• pp.535-538
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• 1990

The main problem in speech recognition is the enormous variability in acoustic signals due to complex but predictable contextual effects. Especially in plosive consonants it is very difficult to find invariant cue due to various contextual effects, but humans use these contextual effects as helpful information in plosive consonant recognition. In this paper we experimented on three artificial neural net models for the recognition of plosive consonants. Neural Net Model I used "Multi-layer Perceptron ". Model II used a variation of the "Self-organizing Feature Map Model". And Model III used "Interactive and Competitive Model" to experiment contextual effects. The recognition experiment was performed on 9 Korean plosive consonants. We used VCV speech chains for the experiment on contextual effects. The speech chain consists of Korean plosive consonants /g, d, b, K, T, P, k, t, p/ (/ㄱ, ㄷ, ㅂ, ㄲ, ㄸ, ㅃ, ㅋ, ㅌ, ㅍ/) and eight Korean monothongs. The inputs to Neural Net Models were several temporal cues - duration of the silence, transition and vot -, and the extent of the VC formant transitions to the presence of voicing energy during closure, burst intensity, presence of asperation, amount of low frequency energy present at voicing onset, and CV formant transition extent from the acoustic signals. Model I showed about 55 - 67 %, Model II showed about 60%, and Model III showed about 67% recognition rate.

• Information Systems Review
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• v.20 no.1
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• pp.61-80
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• 2018

Individuals often receive smishing campaigns (mobile phishing messages), which they treat as spam. Thus, firms should understand how their customers distinguish their promotion messages from smishing. However, only a few studies examined this important issue. The present study employs the elaboration likelihood model to develop research hypotheses on the relationship between message cue and message credibility. The message cue in this study is classified as content cue, which is found in the content of promotion messages, and as leakage cue, which is found in peripheral information in the message. Leakage cue includes orthography (inclusion of special characters)and an abbreviated link sent by a faithless sender. We also propose that contextualization has a moderating effect on the relationship between content cue and credibility. We conducted a survey experiment to examine the effect of message cues on message credibility in the context of respondents receiving discount coupons through mobile messages. The result of data analysis based on 166 responses suggests that leakage cue had a negative effect on message credibility. A message with defective content cue has a marginally negative effect on message credibility. In particular, defective content cue in a high-contextual message has a strong negative impact on message credibility. This effect was not observed in low-contextual messages. Moreover, message credibility is significantly low regardless of the degree of contextualization if there is a leakage cue in the message. Our findings suggest that mobile promotion messages should be customized for message receivers and should have no leakage cues.

• Korean Journal of Acupuncture
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• v.35 no.2
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• pp.47-55
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• 2018

Objectives: Clinical improvements can be observed following placebo administrations in clinical trials. Randomized controlled trials have been conducted to disentangle the specific effects of therapeutic interventions over the past decade. In acupuncture trials, non-penetrating placebo needles offer the opportunity to determine the specific effects of needling. Methods: The present review provides an overview of the concept of the placebo effect and the characteristics of the placebo needles. Results: Placebo control can contribute to minimize for bias and the contextual and psychological components of therapeutic interventions. Placebo control should meet two criteria: blinding efficacy (indistinguishable from active treatment) and physiological inertness. In the case of acupuncture, however, it is difficult to meet both criteria simultaneously. The dilemma of placebo needles suggests that placebo needles do not constitute proper control in acupuncture research. Considering the characteristics of placebo needles, patients are more likely to perceive placebo needles as active treatment in acupuncture trials compared to placebo pills in pharmaceutical trials. Placebo response might be observed more frequently to placebo needles than to placebo pills. When acupuncture treatments are utilized in clinical use, placebo effects can be enhanced by exploiting patients' expectations in the contextual or environmental cues that surround medical intervention. Conclusions: We have to consider these unique characteristics of placebo needles in order to avoid drawing premature conclusions that acupuncture itself is just a placebo.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.1145-1148
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• 2005

In this paper, we introduce a probabilistic model based on Bayesian networks (BNs) for inferring human fatigue by integrating information from various visual cues and certain relevant contextual information. Visual parameters, typically characterizing the cognitive states of a person including parameters related to eyelid movement, gaze, head movement, and facial expression, serve as the sensory observations. But, an individual visual cue or contextual Information does not provide enough information to determine human fatigue. Therefore in this paper, a Bayesian network model was developed to fuse as many as possible contextual and visual cue information for monitoring human fatigue. At the experiment results, display the utility of the proposed BNs for predicting and modeling fatigue.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.129-144
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• 2020

Recent advances in digital purchase platforms allow consumer to easy to access online purchase, but the online purchase systems often occurs a negative situations such as service failure. When customer experiences negative service, they want to communicate with the company online chatting service. But not much is known about how customers online chatting service's contextual cues effectiveness. So, the current research seeks to examine the effects of type of online chatting service interface and company market status on customers' perception of service quality and satisfaction with online chatting services. The results of two studies show that, when customer experienced negative online service, they expected to a high status (vs a low status) company had offered better service. but their service request are not met, customers perceive better service quality if served by a low status (vs high status) company represented by a logo (vs. an emoji). These findings will help marketing practitioners strategically how design their chatting service interface according to the their status when they communicate with customer who experienced negative service.

• Speech Sciences
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• v.10 no.3
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• pp.37-45
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• 2003

This study attempted to determine the effects of a context-based drawing task on the language expression of a severe Wernicke's and Broca's aphasic. The subjects in this study showed a poor auditory comprehension and naming performance. They also showed paraphasia and perseveration. This study focused on improving language expression by a drawing task based on conversation at hand. Ten target words were chosen which were easily drawnable and familiar to the subjects. The results showed that the context-based drawing task was effective on improving the subjects' confrontation naming ability and expressive language ability in terms of explanation of sentences. In addition, the Broca's aphasic showed improved naming ability when the contextual cues were given and he was supposed to spontaneously name words.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.40 no.8
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• pp.782-791
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• 1991

In the fields of pattern recognition such as speech recognition, several new techniques using Artifical Neural network Models have been proposed and implemented. In particular, the Multilayer Perception Model has been shown to be effective in static speech pattern recognition. But speech has dynamic or temporal characteristics and the most important point in implementing speech recognition systems using Artificial Neural Network Models for continuous speech is the learning of dynamic characteristics and the distributed cues and contextual effects that result from temporal characteristics. But Recurrent Multilayer Perceptron Model is known to be able to learn sequence of pattern. In this paper, the results of applying the Recurrent Model which has possibilities of learning tedmporal characteristics of speech to phoneme recognition is presented. The test data consist of 144 Vowel+ Consonant + Vowel speech chains made up of 4 Korean monothongs and 9 Korean plosive consonants. The input parameters of Artificial Neural Network model used are the FFT coefficients, residual error and zero crossing rates. The Baseline model showed a recognition rate of 91% for volwels and 71% for plosive consonants of one male speaker. We obtained better recognition rates from various other experiments compared to the existing multilayer perceptron model, thus showed the recurrent model to be better suited to speech recognition. And the possibility of using Recurrent Models for speech recognition was experimented by changing the configuration of this baseline model.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.526-530
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• 2009

In this paper, we propose a contextual information and physics-based contents manipulation method for a mobile augmented reality authoring system. Due to proliferation of ubiquitous computing in information technology(IT) and advances in sensor technology and mobile devices, AR systems that were only possible in PC can be now feasible on mobile devices. In addition, many AR systems have been proposed that utilize sensory data and reflect them into. Thus, the proposed method provides appropriate visual cues for 3D manipulations of the augmented contents. In addition, uses can manipulate the augmented contents with sensory information through the assignment of sensors to the contents. Moreover, it supports not only a physics-based contents loader that enables users to specify physics properties into the contents, but also the transform matrix between AR and physics engine coordinates. To show the feasibility of the proposed method, we implemented a mobile augmented reality authoring system. We believe that the proposed method can be a key factor for context-aware mobile AR authoring system.