Past Issues

Quick and accurate learning of diverse electronic products has become an important daily task. In particular, software occupies core status in the control and operation of the products. This research tested the effects of learning method, schedule, and task difficulty in the learning of software. Using 2 (learning method: experiential vs.verbal) x 2 (learning schedule: spaced vs. massed) x 2 (difficulty: easy vs. difficult) between-subjects design, Experiment 1 tested participants` learning of file control using Windows Movie Maker. There was no effect of learning schedule on task completion time, but participants in experiential learning were faster in the completion of evaluation task compared with those in verbal learning condition. Importantly, as task difficulty increases participants in verbal condition showed markedly lower performance than those in experiential condition, which suggests that experiential learning is more effective with more difficult learning task. That is, in case of learning simple operation of software verbal learning using linguistic manual or instruction could be sufficient; on the other hand in case of learning complex operation learning from experience or tutorial mode would be more effective. Additional studies which manipulated task difficulty (Expt. 2) and inter-trial learning interval (Expt. 3) did not produce meaningful results.

keyword : 소프트웨어 학습, 과제 난이도, 학습방법, 학습계획, software learning, task difficulty, learning method, learning schedule

Considerable research in dieting has examined the goal priming effect that promotes successful dieting. However, priming literature found that the process of which priming is led to behaviors involves not only the priming construct itself but the momentary self-concept activated by the priming. Based on this notion, studies examined whether the active self-concept as an "unsuccessful dieter" or "successful dieter" determines the priming-to-behavior effect in dieting. Study 1 used contexts of the prime as manipulation for participants` active-self following the prime and measured their chronic self-concept in dieting (rated on the Perceived Self-Regulation Success [PSRS] in dieting scale) as a moderator. The result supported the active-self account for the effect of the dieting prime. The interaction of the PSRS scores and the priming contexts was found in the dieting behavior of participants. Participants whose chronic self-concept in dieting is unsuccessful (the low PSRS) showed the goal-congruent priming effect only in the condition where the priming context reminded them of their self-concept in favor of dieting success. In the context where their dieting failure in the past became salient, however, the participants with the low PSRS were more likely to succumb to tempting food. In contrast, eating behaviors of the high PSRS participants were independent of the contexts. Study 2 tested a possible mechanism from the active-self to the behaviors. It is concluded that the active-self operates in the priming process by influencing anticipatory thoughts rather than automatic responses toward foods. The implications for understanding repeated dieting failures and designing practical interventions to help dieters are discussed.

keyword : iming, Eating Behavior, Self-Regulation, Dieting, Active-Self, Self-Concept

In recent days, according as ergonomics and aesthetic engineering are important factors in the product market, there is a demand to develop automobile seat and interior designs which are focused on sensitive elements such as aesthetic and comfort features in order to satisfy the sensitive needs of consumers. To meet such demands, car seats are turning into functional and sensitive products that reflect elements of function and entertainment. According to such trends, this research is aimed to develop the illuminating car seat fabric that serve such functions as recognizing and reacting to car environments, which includes sensing over-speed, open doors, and unfastened safety belts through the illuminating car seat fabrics by optical fiber. For this purpose, basic physical properties of optical fiber are analyzed, appropriate weaving and etching technologies are applied, and the woven fabric of optical fiber for car seats are illuminating depend upon car environments. Moreover, the applicable woven fabric of optical fiber is deduced after evaluating the physical properties (such as tensile strength, heatproof, anti-fouling, washable and combustible traits) for the appropriateness of applying the woven fabric of optical fiber to car seats. For this purpose, the woven fabric of optical fiber is covered according to car seat processes; the optical fiber applied to seats is composed that it may be connected to one end of the connector linked to a LED so that it may perform functions like sensing over-speed, open doors, and unfastened safety belts; the sensed signals are transmitted to the control part, and luminescent signals are transmitted to LED.

keyword : Woven Fabric, Optical fiber, Car Seat Fabric, LED, Illuminating Car Seat

Use of vision and audition for video reality has made much advancement. However use of olfaction, which is effective in inducing emotion, has not yet been realized due to technical limitations and lack of basic research. In particular it is difficult to fabricate many odors required for each different video. One way to resolve this is to discover clusters of odors of similar smell and to use representative odor for each cluster. This research explored clusters of odors based on pair wise similarity ratings. 300 diverse odors were first collected and sorted them into 11 categories. We selected 152 odors based on their frequency, preference, and concreteness. Participants rated similarity on 1,018 pairs of odors from selected odors and the results were analyzed using multi-dimensional scaling (MDS). Based on the idea that low odor concreteness would support valid use of representative odor, the MDS results are presented from low to high smell concreteness. First, flowers, plants, fruits, and vegetables was classified under the easy categories to use representative odor due to their low smell concreteness (Figure 1). Second, chemicals, personal cares, physiological odors, and ordinary places was classified under the careful categories of using it due to their intermediate concreteness (Figure 2). Finally, food ingredients, beverages, and foods was classified under the difficult categories to use it because of their high concreteness (Figure 3). The results of this research will contribute to reduction of cost and time in odor production and provision of realistic media service to customers at reasonable price.

keyword : 대표냄새, 실감향상, 냄새 유사성, 후각정보, representative odor, odor similarity, odor concreteness, olfactory information, reality improvement

Despite the huge potential of the practical application of emotion recognition technologies, the enhancement of the technologies still remains a challenge mainly due to the difficulty of recognizing emotion. Although not perfect, human emotions can be recognized through human images and sounds. Emotion recognition technologies have been researched by extensive studies that include image-based recognition studies, sound-based studies, and both image and sound-based studies. Studies on emotion recognition through facial expression detection are especially effective as emotions are primarily expressed in human face. However, differences in user environment and their familiarity with the technologies may cause significant disparities and errors. In order to enhance the accuracy of real-time emotion recognition, it is crucial to note a mechanism of understanding and analyzing users` personality traits that contribute to the improvement of emotion recognition. This study focuses on analyzing users` personality traits and its application in the emotion recognition system to reduce errors in emotion recognition through facial expression detection and improve the accuracy of the results. In particular, the study offers a practical solution to users with subtle facial expressions or low degree of emotion expression by providing an enhanced emotion recognition function.

keyword : 얼굴표정, 감정인식, 감정 인식률개선, 이용자 중심의 감정인식, 사용자 내적 성향, Emotion Recognition, Accuracy of Emotion Recognition, Enhanced Emotion recognition, User centered emotion recognition, User`s internal tendency

Emotion regulation has been suggested as a pathway through which personality traits (e.g., extraversion or neuroticism) affect psychological well-being. However, the pathway needs further investigation across cultures due to variations in parts of the relationship reported in recent culture research. With an aim of improving current understanding of the pathway, we investigated the role of emotion regulation mediating the link between personality traits and well-being across two college samples from different cultural backgrounds: Korea and the United States (US). Results of mediation analysis revealed that the extraversion-well-being relationship was fully mediated by the degree to which individuals regulate negative emotions in both Korean and US samples. However, the neuroticism-well-being relationship was partially mediated by emotion regulation in the US sample, while it was fully mediated in the Korean sample. The role of emotion regulation differently functioning across cultures suggests the importance of investigating cultural-specific mechanism of psychological processes.

keyword : Emotion, Emotion regulation, Personality, Psychological well-being, Life satisfaction, Culture

We propose the sentiment pattern as a novel sentiment feature for more accurate text sentiment analysis, and introduce the rating inference of movie reviews using it. The text sentiment analysis is a task that recognizes and classifies sentiment of text whether it is positive or negative. For that purpose, the sentiment feature is used, which includes sentiment words and phrase pattern that have specific sentiment like positive or negative. The previous researches for the sentiment analysis, however, have a limit to understand accurately total sentiment of either a sentence or text because they consider the sentiment of sentiment words and phrase patterns independently. Therefore, we propose the sentiment pattern that is defined by arranging semantically all sentiment in a sentence, and use them as a new sentiment feature for the rating inference that is one of the detail subjects of the sentiment analysis. In order to verify the effect of proposed sentiment pattern, we conducted experiments of rating inference. Ratings of test reviews is inferred by using a probabilistic method with sentiment features including sentiment patterns extracted from training reviews. As a result, it is shown that the result of rating inference with sentiment patterns are more accurate than that without sentiment patterns.

keyword : sentiment analysis, rating inference, sentiment feature, sentiment word, phrase pattern, sentiment pattern

This study is aimed at minimizing the errors in using a sensitivity evaluation model that could occur when sensitivity analysis method is actively used for design evaluation. To extract words of a contrantion-type model by product, interior space, and streetscape design, primary word refinement was conducted with the words extracted from preceding studies. The analysis revealed that 19 words were used in all three fields. A reliability analysis revealed that different words had a bad impact on the reliability in each field. The applicability was reviewed through reliability analysis of EPA model as contraction-type and PAD model as inference-type. The results are as follows. Although the reliability of the contrantion-type model was higher than that of inference-type model in all three fields, the differences in Cronbach`s Alpha were small. Also, When the reliability was analyzed after deleting the words that had a bad impact on reliability, the differences in the reliability`s coefficients were clearly significant. Therefore, it is necessary to select words suitable for sensitivity evaluation target and objectivity of the evaluation can be boosted by using a proper model. Analysis of the sensitivity evaluation model suitable for future environmental evaluation should be analyzed with various statistical methods, beyond verification of reliability.

keyword : 감성평가모형, 이미지평가 어휘, EPA모형, PAD모형. 신뢰도 분석, model of emotion evaluation, image word, EPA model, PAD model, Reliability Analysis

This paper investigates the physical properties such as water absorption, drying and hygral expansion of moisture responded transformable fibers and their knitted fabrics including dyeing characteristics according to the different dyeing time and temperature. For this purpose, three kinds of covered filament yarn specimens using HEF and spandex as core and PET, aero cool as a covering filament were prepared. The knitted fabric specimens were made using three kinds yarn specimens and dyed with different dyeing temperature and time. The moisture absorption, drying and hygral expansion of three kinds of knitted fabric specimens were measured and discussed with yarn structure. The wearing performance of these knitted fabric specimens were also measured and discussed with yarn characteristics using FAST system. Finally, the dyeing characteristics such as dye affinity, color difference and color fastness to washing of these knitted fabric specimens were measured and discussed with different dyeing temperature and time for examining dyeing process performance of these moisture responded transformable knitted fabrics.

keyword : 수분감응형섬유, HEF, 수분자발신장, FAST, 염착성, 견뢰도, moisture responded transformable fibre, HEF. hygral expansion, FAST, dye affinity, color fastness

The skin-tone in portrait photography is one of the most sensitive parts that need retouching by a photographer. To investigate the emotional reactions related to users` preferences for the skin-tone variations in portrait photography, two experiments were conducted. The first experiment included JND(Just Noticeable Difference) test to determine the general distribution of preferences with many photographs that varied in phases up to an extreme one, as a result, preferences for the brightest skin-tone and the red or magenta one were found. Based on the first experiment, we reduced the number of samples by adjusting their brightness to the brightest phase constantly. To intensify the second experiment, we reduced the number of the other colored samples to only one and made samples for five phases from green to magenta, namely the most preferred skin-tone in the first experiment. In the second experiment, the common preference for a neutral skin-tone and the partial difference between the two gender groups were found. In conclusion, the users` preference for a particular skin-tone was positively affected by emotions such as ``happiness`` or ``comfortable``. With this investigation, we compiled some statistically meaningful facts to confirm that the preferences of the users depend positively on controlling the skin-tone in portrait photography.

keyword : 인물사진, 피부 톤, 감성반응, 선호도, portrait photography, skin-tone, emotional reaction, preference