• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.10
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• pp.19-26
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• 2006

In this study, psychological assessment was carried out to investigate the driver's psychological characteristics by the change of the headlight. The participants were 20 men and 20 women in their 20s and thirty-two different conditions in combinations of waveform of light, voltage, and alteration time were used. The questionnaire for the assessment was evaluated by 8 subjective item and 5-point SD criteria of 19 pair's adjective. The results were as follows : 1. The assessment results from SD method indicated 4 factors by factor analysis, and it was shown that A waveform had significances in a sense of security and impetus and B waveform had a significance in a sense of security. The levels of the limitations for the voltage change were 12[V] in the factor of a sense of security and 11[V] in the factor of a sense of impetus for A waveform, 12.6[V] in the factor of a sense of security for B waveform. 2. The results of the subjective assessment showed that the limitation of A waveform's brightness change was 12[V]. Moreover, the limitations of voltage changes were 12.67[V] for B waveform brightness change, 12.12[V] for discomfort, 12.71[V] for darkness. And the limitation of C waveform's brightness change was 12[V].

• Information Systems Review
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• v.17 no.1
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• pp.49-64
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• 2015

Customer reviews which include subjective opinions for the product or service in online store have been generated rapidly and their influence on customers has become immense due to the widespread usage of SNS. In addition, a number of studies have focused on opinion mining to analyze the positive and negative opinions and get a better solution for customer support and sales. It is very important to select the key terms which reflected the customers' sentiment on the reviews for opinion mining. We proposed a document-level terms-based sentiment classification model by select in the optimal terms with part of speech tag. SVMs (Support vector machines) are utilized to build a predictor for opinion mining and we used the combination of POS tag and four terms extraction methods for the feature selection of SVM. To validate the proposed opinion mining model, we applied it to the customer reviews on Amazon. We eliminated the unmeaning terms known as the stopwords and extracted the useful terms by using part of speech tagging approach after crawling 80,000 reviews. The extracted terms gained from document frequency, TF-IDF, information gain, chi-squared statistic were ranked and 20 ranked terms were used to the feature of SVM model. Our experimental results show that the performance of SVM model with four POS tags is superior to the benchmarked model, which are built by extracting only adjective terms. In addition, the SVM model based on Chi-squared statistic for opinion mining shows the most superior performance among SVM models with 4 different kinds of terms extraction method. Our proposed opinion mining model is expected to improve customer service and gain competitive advantage in online store.

• Science of Emotion and Sensibility
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• v.8 no.3
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• pp.291-301
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• 2005

This study aims to understand causal relationship among preference factors - preferred design, design image, and design elements-to create interaction between artists and spectators, concerning eating and drinking table decoration which is produced with subjective representation chiefly by virtue of the authors' conceptualization and planning. As an experimental research , face-to-face personal interviews have been made in off-line setting through questionnaires. Acquired information from it has been analyzed, which results are as follows. As harmonious, warm, womanish design image, combination of pink-tone similar colors were preferred. As image adjectives highly related with design preference were 'harmonious and inharmonious' A design factor of 'harmonious' was combination of similar colors, while that of 'inharmonious' was association of mixed colors. It has been found that 'colors' have been an important factor among preference design factors. As above, a new concept for design can be established by using data-based information, along with suggesting a direction for preferred design in the field of eating and drinking table decoration. Furthermore, it will be possible to make a study of new preferred design through evaluation of quantitative spectators in this area. It is expected that such researches could give an opportunity to get satisfactory results from newly experimented designs using quantitative data even in a creative design area, as well as table decoration.