• Journal of Digital Convergence
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• v.20 no.2
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• pp.57-62
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• 2022

This study was conducted with the purpose of listening to the explanations of artworks in the non-face-to-face class and confirming the learner's feelings as a result of the class. The proposed system listens to the explanation of the artwork, inputs the learner's emotions with a dedicated key, and expresses the result in music. To this end, the direction of the non-face-to-face art appreciation class model using the emotion key was set, and based on this, a system for non-face-to-face art appreciation was constructed. The learner will use the 'smart device using the emotion key' proposed in this study to listen to the explanation of the artwork and to input the emotion for the question presented. Through the proposed system, learners can express their emotional state in online art classes, and instructors receive the results of class participation and use them in various ways for educational analysis.

• The Journal of Information Systems
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• v.21 no.3
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• pp.117-136
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• 2012

Given to the prevalence of social commerce such as Groupon, Ticketmonster, and Coupang, it has become critical to understand customer purchasing behavior in social commerce environments. When consumers make purchasing decisions in social commerce, they often act impulsively. This is because social commerce is a deal-of-the-day website that features discounted gift certificates usable at local companies. However, the vast majority of social commerce research has viewed consumer decision-making as a rational process. This study develops a theoretical framework to investigate key drivers of customer's impulsive purchasing in social commerce. This study identifies flow, positive emotion, negative emotion, social commerce attractiveness, and discounted price as the key antecedents of impulsive purchasing. Data collected from 164 users who had prior purchasing experiences with social commerce were empirically tested against the research model using partial least squares analysis. The analysis results indicate that flow plays an important role in facilitating customers' impulsive purchasing in social commerce environments. Moreover, the findings show the exact roles of positive emotion, negative emotion, social commerce attractiveness, and discounted price on consumer's impulsive purchasing.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.249-255
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• 2014

Recently, creation and sharing of information make progress actively through the SNS(Social Network Service) such as twitter, facebook and so on. It is necessary to extract the knowledge from aggregated information and data mining is one of the knowledge based approach. Especially, emotion analysis is a recent subdiscipline of text classification, which is concerned with massive collective intelligence from an opinion, policy, propensity and sentiment. In this paper, We propose the emotion prediction method, which extracts the significant key words and related key words from SNS paragraph, then predicts the emotion using these extracted emotion features.

• Journal of the Korean Institute of Landscape Architecture
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• v.34 no.6 s.119
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• pp.87-100
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• 2007

This study analyzed the key words in Korea's leading apartment brands and newspaper advertisements to examine especially their view-oriented advertising characteristics and green marketing properties. Four study topics were established and examined for this purpose. The following are the results; 1. The key words on apartment brands and catch phrases are $\ulcorner$emotion-oriented$\lrcorner$ words, such as taste, pride, and happiness, and $\ulcorner$environment-oriented$\lrcorner$ to appeal to customers with beautiful views of the nature. Also key words on newspaper advertisement headlines stress views for $\ulcorner$environment-oriented$\lrcorner$ characteristics as well as $\ulcorner$emotion-oriented$\lrcorner$ characteristics for elegance and luxury, and $\ulcorner$function-oriented$\lrcorner$ characteristics for the future. Views, nature and park are key words and everything about illustration that are especially emphasized even on the headlines of newspaper advertisements. 2. Unlike brands or headlines, sub-headlines and body copies stress $\ulcorner$modern-oriented$\lrcorner$ characteristics for life, culture, and accessibility, followed by $\ulcorner$emotion-oriented$\lrcorner$ characteristics. Key words on caption were also highly $\ulcorner$modern-oriented$\lrcorner$, followed by $\ulcorner$environment-oriented$\lrcorner$ and $\ulcorner$function-oriented$\lrcorner$ characteristics for practical aspects. 3. In result of $X^2-test$, $\ulcorner$environment-oriented$\lrcorner$ key words that convey good views, naturalism, parks, and nature are the major representation of green marketing strategies of apartment brands and newspaper advertisements. However, brands were strongly $\ulcorner$emotion-oriented$\lrcorner$, whereas captions were $\ulcorner$modern-oriented$\lrcorner$ and body copies were $\ulcorner$investment-oriented$\lrcorner$. Both apartment brands and advertisements were consistently $\ulcorner$environment-oriented$\lrcorner$, but were not consistent in other factors. 4. Different parts of newspaper advertisements are focusing on green marketing strategies in terms of environmental protection, but are actually leaning toward modern-oriented lifestyles and accessibility. Thus, it is more well-being marketing rather than green marketing. To pursue true green marketing despite the limits of newspaper advertisements, it is necessary to present products and pricing strategies that represent sustainable.

• Cartoon and Animation Studies
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• s.40
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• pp.477-496
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• 2015

Emotional awareness is the image of a person is represented by different tendencies. Currently, the emotion computing to objectively evaluate the emotion recognition research is being actively studied. However, existing emotional computing research has many problems to run. First, the non-objective in emotion recognition if it is inaccurate. Second, the correlation between the emotion recognition is unclear points. So to test the regularity of image sensitivity to the need of the present study is to control emotions in the computing system. In addition, the screen number of the emotion recognized for the purpose of this study, applying the method of objective image emotional computing system and compared with a similar degree of emotion of the person. The key features of the image emotional computing system calculates the emotion recognized as numbered digital form. And to study the background of emotion computing is a key advantage of the effect of the James A. Russell for digitization of emotion (Core Affect). Pleasure emotions about the core axis (X axis) of pleasure and displeasure, tension (Y-axis) axis of tension and relaxation of emotion, emotion is applied to the computing research. Emotional axis with associated representative sensibility very happy, excited, elated, happy, contentment, calm, relaxing, quiet, tired, helpless, depressed, sad, angry, stress, anxiety, pieces 16 of tense emotional separated by a sensibility ComputingIt applies. Course of the present study is to use the color of the color key elements of the image computing formula sensitivity, brightness, and saturation applied to the sensitivity property elements. Property and calculating the rate sensitivity factors are applied to the importance weight, measured by free-level sensitivity score (X-axis) and the tension (Y-axis). Emotion won again expanded on the basis of emotion crossed point, and included a representative selection in Sensibility size of the top five ranking representative of the main emotion. In addition, measuring the emotional image of a person with 16 representative emotional score, and separated by a representative of the top five senses. Compare the main representative of the main representatives of Emotion and Sensibility people aware of the sensitivity of the results to verify the similarity degree computing emotion emotional emotions depending on the number of representative matches. The emotional similarity computing results represent the average concordance rate of major sensitivity was 51%, representing 2.5 sensibilities were consistent with the person's emotion recognition. Similar measures were the degree of emotion computing calculation and emotion recognition in this study who were given the objective criteria of the sensitivity calculation. Future research will need to be maintained weight room and the study of the emotional equation of a higher concordance rate improved.

• ETRI Journal
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• v.37 no.6
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• pp.1199-1210
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• 2015

Automatic emotion recognition based on facial cues, such as facial action units (AUs), has received huge attention in the last decade due to its wide variety of applications. Current computer-based automated two-phase facial emotion recognition procedures first detect AUs from input images and then infer target emotions from the detected AUs. However, more robust AU detection and AU-to-emotion mapping methods are required to deal with the error accumulation problem inherent in the multiphase scheme. Motivated by our key observation that a single AU detector does not perform equally well for all AUs, we propose a novel two-phase facial emotion recognition framework, where the presence of AUs is detected by group decisions of multiple AU detectors and a target emotion is inferred from the combined AU detection decisions. Our emotion recognition framework consists of three major components - multiple AU detection, AU detection fusion, and AU-to-emotion mapping. The experimental results on two real-world face databases demonstrate an improved performance over the previous two-phase method using a single AU detector in terms of both AU detection accuracy and correct emotion recognition rate.

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.287-296
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• 2014

Given rapid growth of mobile messenger services (MMSs) such as KakaoTalk, Line, and Wechat, it has become critical to understand the mechanisms that lead to user loyalty in the MMS context. In this regard, this study examined key factors of user loyalty in the MMS environment. We posit attitudinal loyalty and IT expertise as key drivers of behavioral loyalty. In addition, the impacts of perceived usefulness and emotion on attitudinal loyalty were examined. Data collected from 235 KakaoTalk users who have used more than 1 year were empirically tested against a research model using partial least squares. The analysis results found that both attitudinal loyalty and IT expertise play an important role in enhancing behavioral loyalty in the MMS context. The findings of this study indicate that perceived usefulness and positive emotion significantly influence attitudinal loyalty, whereas negative emotion negatively affects it. The analysis results provide several insights that can help MMS providers understand the role of emotion in enhancing user loyalty.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.111-120
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• 2010

Initial stage of emotion has a great influence on building up product image and impression. Because of its influencing effects, measuring initial stage of emotion has potential to be a key factor for designers and marketers to achieve a distinct product concept. While many researchers have studied this topic with the emotion measurement method in product use stage, there are very few cases specialized in the initial stage of emotion. Even though present emotion measurement methods have difficulties to derive accurate user's initial stage of emotion, most case of initial emotion study applies these defective methods. The purpose of this study is to develop initial stage of emotion measurement method and apply this method to real product context. In the design of the initial stage of emotion measurement method, noticeable characteristics of initial stage of emotion were explored and initial emotion measurement framework was presented. Based on this framework, Initial Emotion Measurement System(IEMS) was suggested. This method collects user's eye movement, behavior and verbal data accurately and objectively.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.109-112
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• 2009

The purpose of this study was to examine the differences in the brain activation evoked by music arranged in major and minor key used with an identical motion film during the fMRI testing. A part of the audio-visual combinations composed by Iwamiya and Sano were used for the study stimuli. This audio- visual clip was originally developed by combining a small motion segment of the animation "The Snowman" and music arranged in both major and minor key from the original jazz music "Avalon" rewritten in a classical style. Twenty-seven Japanese male graduate and undergraduate students participated in the study. Brain regions more activated by the major key than the minor key when presented with the identical motion film were the left cerebellum, the right fusiform gyrus, the right superior occipital, the left superior orbito frontal, the right pallidum, the left precuneus, and the bilateral thalamus. On the other hand, brain regions more activated by the minor key than the major key when presented with the identical motion film were the right medial frontal, the left inferior orbito frontal, the bilateral superior parietal, the left postcentral, and the right precuneus. The study showed a difference in brain regions activated between the two different stimulus (i.e., major key and minor key) controlling for the visual aspect of the experiment. These findings imply that our brain systematically generates differently in the way it processes music written in major and minor key(Supported by the User Science Institute of Kyushu University, Japan and the Korea Science and Engineering Foundation).

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.05a
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• pp.51-54
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• 2005

In the contemporary, all social shifts as well as the fields of design have been changed much faster than past. And continually it will be changed in the future. In this situation, futuristic design will be much more important paradigm than now. Emotion and digital can be key issues in the futuristic design paradigms. Karim Rashid is one of most famous futuristic designers, and all his works are expressed emotion and digital. Also he uses various factors to express futurism such as curved line, futuristic colors, special materials, and so on. In the future, we will live in the emotion and digital culture age. According to social shifts, our life should be change with Futurism. Therefore his role will be more important, and he has to consider relationship between men and their surroundings as he designs all his work's range, specially housing design.