• Title/Summary/Keyword: Addition of emotions

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The Effect of User Experience Characteristics of AI Cashierless Store Service on Revisit Intention through Emotional Response (AI 활용 무인 매장 서비스의 사용자 경험특성이 감정반응을 통해 재방문 의도에 미치는 영향)

  • Noh Hyeyoung;Sinbok Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.791-800
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    • 2024
  • The cashierless store, which is rapidly spreading with the development of AI, is providing new shopping experiences to customers. However, the existing retail service research mainly focused on evaluation based on employees (people). This study was initiated to evaluate services by reorganizing these service evaluations according to the characteristics of cashierless store. In addition, the effect of the service experience characteristics of AI cashierless store on customers' positive or negative emotions was identified, and the effect on revisit intention was verified. As a result of this study, it was confirmed that the service experience characteristics of AI cashierless store had some effect on emotional response. In addition, it was confirmed that the positive emotional response caused by the characteristics of the AI cashierless store service experience induces revisiting, but the negative emotional response hinders revisiting. The results of this study are expected to contribute to the research and development of AI cashierless store services.

Cultural Backgrounds of Reviewers, Negative Emotions, and Review Helpulness: Based on Impression Management Theory (리뷰어의 문화적 배경, 부정적 감정표현, 그리고 리뷰유용성: 인상관리 이론을 중심으로)

  • Jungwon Lee;Ohsung Kim;Cheol Park
    • Information Systems Review
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    • v.26 no.2
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    • pp.59-81
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    • 2024
  • Online consumer reviews provide a variety of information from the customer perspective in terms of satisfaction and dissatisfaction. Negative emotional expression is a potential antecedent of review usefulness, and can also influence potential consumers' attitudes and decisions. In addition, because national culture provides a perspective from which individuals view the world and act, it is highly likely that differences in negative emotional expression will occur depending on culture. This study explores the relationship between national culture and negative emotional expression based on impression management theory and ultimately analyzes the impact on review usefulness. For empirical analysis, 16,076 reviews of 140 hotels located in Seoul were collected and analyzed using the PLS-SEM method. As a result of the analysis, it was found that power distance and masculinity culture dimensions had a positive effect on reviewers' negative emotional expressions, while uncertainty avoidance and long-term orientation had a negative effect. In addition, negative emotional expression was analyzed to have a positive effect on review usefulness even when review ratings were controlled.

The Structural Relationship between Brand Engagement and Customer Delight by Sports Brand Experience (스포츠 산업의 브랜드 경험에 따른 브랜드 인게이지먼트와 고객감동의 구조적 관계)

  • Choi, Soow-A;Hwang, Yoon Yong
    • Journal of Korea Society of Industrial Information Systems
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    • v.24 no.3
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    • pp.51-66
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    • 2019
  • The purpose of this study is to investigate the effect of brand experience on brand engagement and customer delight on sports brands belonging to experiential products. In addition, we examined how brand engagement influences consumers' perceptions, emotions, and behavioral responses to brands. As a result, it was confirmed that the brand experience has a positive influence on the brand engagement, customer delight, and brand satisfaction. In particular, it has been confirmed that brand engagement has a positive influence on brand loyalty, so that customers with high brand engagement tend to establish a long-term relationship with the brand. In addition, brand satisfaction has a positive effect on customer delight. Therefore, it is necessary for the brand manager to utilize the brand experience elements and brand engagement to enhance the value of the long-term relationship between the customers and the brand.

A Plan to Maximizing the Visual Immersion of 3D Media Art (3D 미디어아트의 시각적 몰입감 극대화 방안)

  • Kim, Ki-Bum;Kim, Kyoung-Soo
    • Journal of Digital Contents Society
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    • v.16 no.4
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    • pp.659-669
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    • 2015
  • Recently, media art is transforming from analogue to 'digital', and from 2D to '3D'. In particular, the range of utilizing 3D Media Art is getting wider through merging with other genres of contents in the digital environments, such as Media façade, Hologram, Virtual reality, App application, and etc. Therefore, by referring to the 3D award-winning works of Pirx Ars Electronica, which are regarded as the most outstanding works of media art of today, factors that affect sensation of visual immersion have been analyzed, through which strategies for maximizing viewers' interests in media arts and heightening their emotions while viewing have been determined. Based on the findings of the study, it has been shown that such works of media arts that involve development of concepts with 'creativity' and 'variability' from the perspective of visual concept, such as 3D modeling and mapping, with 'consistency' through out all concepts, as well as the works with stronger 'restriction' of concept within its animation and postproduction, attracted more interests from the viewer. From the point of view with visual four steps in composition, positioning the change in quality of 3D 'shape' and 'material' following the four-step rule, and gradual increase of change in quantity within the 'number' and 'size', in addition to increased degree of systematization within the change in editing, such as the 'scene change', resulted in more heightened emotions from the viewer. Thus, in order to maximize sensation of visual immersion, strategies for 'developing 3D visual concepts' while 'synchronizing' them, as well as 'strengthening the four steps within 3D visual composition' while 'systematizing' them should be emphasized.

Evaluating Blockchain Research Trend using Bibliometrics-based Network Analysis (블록체인 분야의 학술연구 동향분석: 계량정보학적 네트워크분석을 중심으로)

  • Zhu, Yu-Peng;Park, Han-Woo
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.219-227
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    • 2019
  • This study aims to examine Blockchain research trend using bibliometrics-based network analysis. The data were collected from WoS, Scopus, Korea Citation Index and National science & Technology Information Service, from 2009 to 2018. As results, the number of publications has started increasing rapidly from 2017 and it showed the initial stage of formation of coauthor network. Words often used in the title of the publications were related to application development, controversy and technology development. In addition, the majority of domestic papers are in the subject of social science, while international papers tend to focus on engineering issues. The results of the temporal analysis show that Korean researchers' block chain 3.0 started in 2017 and are rapidly increasing in 2018. The number of citations was associated with publication year in a statistically signifiant way. By examining these research trends, we hope that this paper can be a useful basis for the development of blockchain. Future research is expected to reveal more clearly the knowledge structure and characteristics of blockchain around the world.

Wavelet-based Statistical Noise Detection and Emotion Classification Method for Improving Multimodal Emotion Recognition (멀티모달 감정인식률 향상을 위한 웨이블릿 기반의 통계적 잡음 검출 및 감정분류 방법 연구)

  • Yoon, Jun-Han;Kim, Jin-Heon
    • Journal of IKEEE
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    • v.22 no.4
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    • pp.1140-1146
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    • 2018
  • Recently, a methodology for analyzing complex bio-signals using a deep learning model has emerged among studies that recognize human emotions. At this time, the accuracy of emotion classification may be changed depending on the evaluation method and reliability depending on the kind of data to be learned. In the case of biological signals, the reliability of data is determined according to the noise ratio, so that the noise detection method is as important as that. Also, according to the methodology for defining emotions, appropriate emotional evaluation methods will be needed. In this paper, we propose a wavelet -based noise threshold setting algorithm for verifying the reliability of data for multimodal bio-signal data labeled Valence and Arousal and a method for improving the emotion recognition rate by weighting the evaluation data. After extracting the wavelet component of the signal using the wavelet transform, the distortion and kurtosis of the component are obtained, the noise is detected at the threshold calculated by the hampel identifier, and the training data is selected considering the noise ratio of the original signal. In addition, weighting is applied to the overall evaluation of the emotion recognition rate using the euclidean distance from the median value of the Valence-Arousal plane when classifying emotional data. To verify the proposed algorithm, we use ASCERTAIN data set to observe the degree of emotion recognition rate improvement.

A Qualitative Study on the Experiences of Grandmothers Raising Grandchildren during the COVID-19 Pandemic (코로나19 상황에서 조손가족 조모가 경험하는 손자녀 양육에 대한 질적 연구)

  • Park, Hwa-Ok;Lim, Jung-won;Kim, Min Jung
    • 한국노년학
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    • v.41 no.4
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    • pp.587-609
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    • 2021
  • The purpose of this study was to investigate parenting experiences among grandmothers raising their grandchildren from grandmothers' perspective, and a variety of their physical health, psychological and social challenges they were facing in everyday life. In addition, this study explored new issues, changes, and difficulties grandparents and their grandchildren were going through during the COVID-19 pandemic. Seven grandmothers raising their grandchildren without their cohabiting parents participated in an in-depth interview, and the qualitative date were obtained using semi-structured questionnaires. Analyses identified 5 main categories: 1) my emotion, worries, and coping with parenting grandchildren, 2) difficulties and obstacles facing in real life of the parenting, 3) conflicts and coping with growing grandchildren who showed new characters, 4) relationships and emotions among grandparents, parents, and grandchildren, and 5) needs and desires toward social services and support. Sixteen themes and 60 sub-themes were also derived. The majority of grandmothers expressed diverse difficulties in their dail y lives including ambivalent emotions regarding grandchild-rearing(rewards and burden), economic hardships, physical health limitations, and a lack of communications with their grandchildren. Further, findings indicated profound generation conflicts which had been even deepened during school close period in COVID-19 pandemic and had been associated with increased hours of using internet and playing computer games. The top priority of the social service needs among interviewed grandmothers was learning support for their grandchildren. Emotional support and social support to cover their lack of family interactions, and financial support were the next of their desired social services. Implications to improve social services for grandparent-headed families are discussed.

Emotional Evaluation of Textile Design Using Digital Craft (디지털 크래프트를 적용한 텍스타일 디자인의 감성평가)

  • Choe, Jin-A;Yi, Phil-Ha;Jeong, Sang-Hoon
    • Science of Emotion and Sensibility
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    • v.22 no.1
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    • pp.65-76
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    • 2019
  • Currently, the field of textile is expanding the scope of its research, which focuses on non-material values such as emotion. This study suggests possibilities for and applications of emotional textile design, using digital craft via empirical research focusing on the emotional significance of textile design. The results, obtained with a subjective evaluation scale developed for this study, were used to verify whether there is statistical significance in the differences between textile design using digital technology and textile design using digital craft. The experiment indicated certain meaningful implications for application of digital crafts through the application of textile design. First, ethnic emotions were not found to be significant but did increase in all three comparative analyses. Second, both modern and classical emotions decreased. Third, comparisons between digital textile machine and digital textile machine and craft showed a significant difference in sensibility. Lastly, the comparison of 3D printing and 3D printing and craft indicated a significant increase in elegance. Therefore, textile design using digital craft is thought to be able to deliver an ethnic, fun, and elegant sensibility, following the digital technology used. If the results derived from this study are used appropriately in the development and production of textile design, it can effectively support the development of emotional textile design. In addition, the results of this study provide objective data for the design of emotional textile through digital craft, which will provide important implications for the academic world and for practical production.

Study on Development of Automated Program Model for Measuring Sensibility Preference of Portrait (인물사진의 감성 선호도 측정 자동화 프로그램 모형 개발 연구)

  • Lee, Chang-Seop;Jung, Da-Yeon;Lee, Eun-Ju;Har, Dong-Hwan
    • The Journal of the Korea Contents Association
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    • v.18 no.9
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    • pp.34-43
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    • 2018
  • The purpose of this study is to develop measurement program model for a human being-oriented product through the between the evaluation factors of portrait and general preferences of portraits. We added new items that are essential to the image evaluation by analysing previous studies. In this study, We identified the facial focus for the first step, and the portraits were evaluated by dividing it into objective and subjective image quality evaluation items. RSC Contrast and Dynamic Range were selected as the Objective evaluation items, and the numerical values of each image could be evaluation items, and the numerical values of each image could be evaluated by statistical analysis method. Facial Exposure, Composition, Position, Ratio, Out of focus, and Emotions and Color tone of image were selected as the Subjective evaluation items. In addition, a new face recognition algorithm is applied to judge the emotions, the manufacturer can get the information that they can analyze the people's emotion. The program developed to quantitatively and qualitatively compiles the evaluation items when evaluating portraits. The program that I developed through this study can be used an analysis program that produce the data for developing the evaluation model of the product more suitable to general users of imaging systems.

The Effects of Emotional Intelligence on the Career Decision-Making Self-Efficacy and Career Decision Levels of the Nursing Students (간호 대학생의 감성지능이 진로결정 자기효능감과 진로결정수준에 미치는 영향)

  • Song, Hyun-Young;Shin, So-Hong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.9
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    • pp.628-640
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    • 2016
  • This research is a descriptive study intended to identify the factors involved in the influence of the emotional intelligence of nursing students on their career decision-making self-efficacy and career decision levels. The correlations among the major variables were analyzed by calculating the Pearson's correlation coefficients. To identify the effects of the subjects' general characteristics and emotional intelligence on their career decision-making self-efficacy and career decision levels, a multiple regression analysis was conducted. The analysis results showed that there were positive relationships among emotional intelligence, career decision making and career decision-making self-efficacy. The factors influencing career decision-making self-efficacy were gender (${\beta}=-.155$), motivation to find employment (${\beta}=-.145$), use of emotions (${\beta}=.236$), emotional control (${\beta}=.197$), and understanding of others' emotions (${\beta}=.157$). In addition, the factors affecting the subjects' career decision level were the year level (${\beta}=.273$), motivation to find employment (${\beta}=-.145$), motivation to obtain others' recommendation (${\beta}=-.138$), and emotional control (${\beta}=.223$). Hence, sufficient endorsement from school or home is required with regard to the roles and duties of a nurse, in order to motivate future students to select the nursing degree. Furthermore, it is suggested that emotional intelligence may be improved when the degree program provides a higher proportion of emotional education.