• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1204-1205
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• 2023

본 논문은 소비자의 리뷰 데이터를 기반으로 한 새로운 감성 분석 방법을 제안한다. 긍정, 부정, 중립으로 분류하는 전통적 감성 분석방법은 텍스트에 나타난 감정의 섬세한 차이를 파악하기 어렵다. 이에 본 연구에서는 GPT 모델을 사용하여 텍스트에서 사용자의 감정을 8 가지의 카테고리로 세분화한다. 부정적 정서를 가진 리뷰에서 분노, 혐오, 실망과 같은 구체적인 감정들을 직관적으로 파악할 수 있었고, 감정의 강도까지 파악할 수 있었다. 제안된 방법을 통해 기업은 고객의 요구 사항을 정확하게 인지할 수 있으며, 고객 맞춤형 서비스 개선에 기여할 수 있다는 점이 기대된다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.1
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• pp.57-62
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• 2010

Recently in the mobile market, the communication technology which bases on the sense of sight, sound, and touch has been developed. However, human beings uses all five - vision, auditory, palatory, olfactory, and tactile - senses to communicate. Therefore, the current paper presents a technology which enables individuals to be aware of other people's emotions through a machinery device. This is achieved by the machine perceiving the tone of the voice, body temperature, pulse, and other biometric signals to recognize the emotion the dispatching individual is experiencing. Once the emotion is recognized, a scent is emitted to the receiving individual. A system which coordinates the emission of scent according to emotional changes is proposed.

• Journal of Digital Convergence
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• v.13 no.11
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• pp.63-70
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• 2015

The fierce competition of mobile messenger services (MMS) allows MMS providers to perform a variety of marketing campaigns and business activities to enhance user loyalty. The applied model in this study is based on Oliver's four-stage loyalty model for the formation processes of user loyalty about MMS. While social network formation and service quality are the key elements of cognitive loyalty, positive mood and negative mood are the key components of affective loyalty in the study. Conative loyalty is captured by commitment. The data of 249 KakaoTalk users at least five times for three months is empirically tested based on the research model using partial least squares. The analysis of test identifies that positive feeling and commitment significantly influences behavioral loyalty, whereas negative feeling plays a significant role in inhibiting behavioral loyalty. The findings of this study show that social network formation and service quality significantly affect only positive feeling. The analysis results reveal several insights that can help MMS managers understand the roles of cognitive, affective, conative, and behavioral loyalty in the MMS environment.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.452-469
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• 2017

The purpose of this study is to examine consumer's cognitive, affective and behavioral responses to in-store's servicescapes in restaurant by confirming the effect of service environment factors such as ambient, layout, interior and auditory on perceived service quality and image as cognitive responses, and the effect of perceived service quality and image on affective satisfaction as affective response, and the effect of affective satisfaction on repurchase intention as a behavioral responses. To this end, the research hypothesis was verified by structural equation model analysis using SPSS 21.0 and AMOS 20.0 statistical packages. The results of study are as follows. First, ambient environment, interior environment and auditory environment had significant influence on perceived service quality, but interior environment had no effect. Second, ambient environment and layout environment had a significant influence on the image, while the interior environment and auditory environment had no effect. Third, perceived service quality had a significant effect on emotional satisfaction, but had no effect on image and repurchase intention. Finally, image had a significant effect on emotional satisfaction and repurchase intention. Therefore, the marketing manager of the restaurant will need to plan and implement a service marketing strategy that will increase consumers' visit by enhance the perceived service quality level by improving ambient environment, layout environment and auditory environment, and increase image by improving ambient environment and layout environment.

• Journal of Internet Computing and Services
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• v.12 no.6
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• pp.83-94
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• 2011

Main researching issue in affective computing is to give a machine the ability to recognize the emotion of a person and to react it properly. Efforts in that direction have mainly focused on facial and oral cues to get emotions. Postures have been recently considered as well. This paper aims to discriminate emotions posture by identifying and measuring the saliency of posture features that play a role in affective expression. To do so, affective postures from human subjects are first collected using a motion capture system, then emotional features in posture are described with spatial ones. Through standard statistical techniques, we verified that there is a statistically significant correlation between the emotion intended by the acting subjects, and the emotion perceived by the observers. Discriminant Analysis are used to build affective posture predictive models and to measure the saliency of the proposed set of posture features in discriminating between 6 basic emotional states. The evaluation of proposed features and models are performed using a correlation between actor-observer's postures set. Quantitative experimental results show that proposed set of features discriminates well between emotions, and also that built predictive models perform well.

• The KIPS Transactions:PartB
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• v.18B no.5
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• pp.305-314
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• 2011

Research into the visual perception of human emotion to recognize an intention has traditionally focused on emotions of facial expression. Recently researchers have turned to the more challenging field of emotional expressions through body posture or activity. Proposed work approaches recognition of basic emotional categories from body postures using neural model applied visual perception of neurophysiology. In keeping with information processing models of the visual cortex, this work constructs a biologically plausible hierarchy of neural detectors, which can discriminate 6 basic emotional states from static views of associated body postures of activity. The proposed model, which is tolerant to parameter variations, presents its possibility by evaluating against human test subjects on a set of body postures of activities.

• 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.

• Korean Journal of Cognitive Science
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• v.23 no.4
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• pp.457-485
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• 2012

The current study explores how media modality and message frame interact to form individuals' affective risk perception and behavioral intention. Specifically, participants were exposed to positive and negative messages on irradiated foods in text, audio, and audio/video formats and their affective risk perception and purchase intention were measured. Results indicate that individuals' affective risk perception and purchase intention were influenced by media modality and message frame. The significant interaction effects between the two variables were also observed. The results indicate that the appropriate media modality should be carefully selected based on the message content for effective risk communication.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.201-211
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• 2017

Social scientists have studied interaction between human beings, while computer scientists have expanded the research domain from human-human to human-machine, human-agent, or machine-machine. The reason why an adoption of Smart Work is failed is an anxiety about ICT usage which middle managers have. It is important to explore the concept both to reduce an anxiety on an application and to increase continuance to use it. Therefore this study takes "empathy" as a key factor to play a leading role both to relieve the anxiety about the application and to improve the intention to use it. The data is gathered from a survey of undergraduate who have experience to use MS-Access. The findings show that application empathy decrease the application anxiety, but the empathy increase the continuance mediated by cognitive and affective attitude.

• Management & Information Systems Review
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• v.34 no.4
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• pp.97-120
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• 2015

This study examined the role and relationship among cognitive response(attractiveness, familiarity, actual self-congruence, ideal self-congruence and sympathy) factors, emotional response(empathy, flow, affection) factors, identification mediating between cognitive and emotional response, and interactivity. Hypotheses based on literature reviews were analyzed and according to the results, all of hypotheses except two hypotheses were supported. Firstly, the results revealed that except characteristic attractiveness and actual self-congruence, story attractiveness, characteristic familiarity, story familiarity, and ideal self-congruence influenced on sympathy positively. Secondly, this study examined the role and relationship between identification mediating between cognitive and emotional response and interactivity. As a result, identification and interactivity mediated with sympathy and empathy had positive effects. Finally, in respect of emotional responses empathy, flow, and affection had positive effects.