• Title/Summary/Keyword: Emotional Technology

Search Result 1,118, Processing Time 0.03 seconds

The Effects of Black Consumer Behavior Perception on Emotional Exhaustion and ago resiliency of Hair Service Professionals (헤어서비스전문가의 블랙컨슈머 행동지각이 정서적 소진 및 자아탄력성에 미치는 영향)

  • Ma, Eun-Jung;Ko, Kyoung-Sook
    • Journal of the Korean Applied Science and Technology
    • /
    • v.38 no.4
    • /
    • pp.974-985
    • /
    • 2021
  • The purpose of this study was to determine the effects of black consumers' perception of behavior on Emotional exhaust and ago resiliency among hair service experts. The 318 questionnaires for hair and beauty experts in Seoul, Gyeonggi Province and Jeollanam-do were used as the final analysis data and were analyzed using the SPSS 26.0 statistics program. Analysis method to analyze frequency factor analysis, reliability analysis, Correlation analysis, Multiple regression analysis was performed. First, black consumers' perception of behavior showed a positive correlation with emotional exhaust, and black consumers' perception of behavior showed a negative correlation with ago resiliency. the emotional exhaust and ago resiliency showed a negative correlation with each other. Second, it was confirmed that excessive among the black consumer factors affects has an effect on emotional exhaust. Third, it was confirmed that excessive and Habitual among the black consumer factors affects on ago resiliency. Fourth, it was confirmed that emotional exhaust has an effect on ago resiliency.

A Study on Factors Affecting Intention to Continuous Use of O2O Service : Focused on Cinema Ticketing Systems (O2O서비스의 지속이용의도에 영향을 미치는 요인에 관한 연구 : 영화관 티켓 발권서비스를 중심으로)

  • Park, Soeun;Lee, Seonghye;Ji, Deabum;Choi, Jeongil
    • Journal of Information Technology Services
    • /
    • v.16 no.4
    • /
    • pp.197-212
    • /
    • 2017
  • This study aims to investigate factors affecting the intention of continuous use of O2O service by referring new media adoption theory and value-based acceptance model for movie ticketing services. For this study, a questionnaire survey was conducted for users of tickets ticketing service of the cinema online (including mobile) within the last 6 months. A total of 500 copies was collected and 404 copies were analyzed excluding 96 copies because of errors. As a result of the analysis, the ease of use and service ubiquity has a positive effect on perceived functional value and perceived emotional value, and usability has a positive effect on perceived functional value. Compatibility and trialability has a positive effect on both perceived functional value and emotional value. Previous experience has a positive effect on both perceived functional value and perceived emotional value, and inertia has negative effect on perceived functional value. Finally, the perceived emotional value has a positive effect on the intention to continuous use, but perceived functional value appeared to have no significant effect. This study shows a theoretical implication for new technology-based services such O2O. It was suggested to establish a practical marketing strategy and help to activate the O2O service field.

The Impact of Ethical Leadership on Employees Turnover Intention: An Empirical Study of the Banking Sector in Malaysia

  • SALEH, Tajneen Affnaan;MEHMOOD, Wajid;KHAN, Jehanzeb;JAN, Farman Ullah
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.9 no.2
    • /
    • pp.261-272
    • /
    • 2022
  • The purpose of this paper is to investigate the influence of ethical leadership in determining the organizations' individual-type ethical climate (self-interest, friendship, and personal morality ethical climate) in reducing employee turnover intention. It seeks to identify the role of individual-type climate in mediating the association between ethical leadership and employee turnover intention. Moreover, the moderation effect of emotional exhaustion among employees on the relationship between ethical leadership and turnover intention has been researched to establish the ethical degree of leadership. Using a sample of 260 questionnaires from employees working full-time in the banking sector, the results were analyzed in PLS-SEM. The results of the social exchange theory indicated that ethical leadership is vital in shaping the workplace's individual-type ethical climate and reducing employees' turnover intention. The findings demonstrate that the relationship between ethical leadership and turnover intention is mediated by an individual-type ethical climate, which means that employees in a positive ethical climate do not wish to leave immediately. Furthermore, emotional exhaustion was found to moderate the association between ethical leadership and employees' turnover intention under high emotional exhaustion, where low ethical leadership is experienced, reporting higher levels of turnover intention.

Analysis of Emotional Responses to Different Graphical Styles of Natural Scenery in Video Games (게임에서의 자연풍경의 그래픽 스타일 차이에 따른 감성 반응 분석)

  • Hansun Hong;Seongsu Kim;Minji Kang;Juyoung Lee
    • Journal of Environmental Science International
    • /
    • v.32 no.12
    • /
    • pp.979-985
    • /
    • 2023
  • After the outbreak of COVID-19, the demand for home-enjoyable video games has surged, driven by extended pandemic conditions and resulting in rapid graphic technology advancements. Consequently, games with diverse expression techniques have emerged, captivating players. Virtual Reality (VR) environments predominantly feature natural landscapes, with advancing graphic technology enabling lifelike scenes. The rise in individuals seeking solace through natural elements in games has followed suit. As VR technology and metaverse interest grow, more people are exposed to digital imagery. However, evidence on the influence of graphic expression methods on emotional response to that is lacking. Our study examined user emotional responses, focusing on natural landscapes in digital graphics of games. Analyzing a group of 47 young adults as frequent digital media consumers, we studied reactions to different image styles (Realism, Semi-Realism, Stylized). In the analysis, Realism-style images were perceived the most positively, while emotional responses to natural landscapes with different graphical expressions showed no significant differences. Results suggest that recognizing digital natural landscapes may outweigh expression style impacting the evaluation of digital nature. This study's empirical analysis enhances the understanding of digital nature's application to actual situations.

Consumer Emotional Experience and Approach/Avoidance Behavior in the Store Environment with Digital Signage -Moderating Effect of Perceived Surprise- (점포내 디지털 사이니지 환경에서 소비자 감정체험과 접근/회피행동 -지각된 놀라움의 조절효과-)

  • Kim, Eun Young;Sung, Heewon
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.41 no.2
    • /
    • pp.266-280
    • /
    • 2017
  • This study predicted consumer approach/avoidance behavior through consumer emotional experiences and examined the moderating effect of perceived surprises in the context of digital signage in store environments. A self-administered questionnaire consisted of consumer emotional experience (e.g., pleasure, arousal, and dominance), approach-avoidance behavior and perceived surprise by digital signage. A total of 278 usable responses were obtained from consumers who experienced digital signage at fashion retail stores. The findings support the Mehrabian-Russell model in the context of digital signage. Approach behavior was predicted by pleasure and arousal emotional experience, while avoidance behavior was predicted by dominance. The moderating effect of perceived surprise was also indicated in the effect of emotional experience on approach or avoidance behavior. In the high level of perceived surprise, pleasure and arousal had significant effects on approach behavior, whereas dominance had significant effect on avoidance behavior. This study discussed theoretical and managerial implications for creating emotional experiences and developing strategic store management by utilizing new digital technology within the fashion retail environments.

Factors Affecting Job Stress of Pediatric Nurses: Focusing on Self-Efficacy, Emotional Labor, Pediatric Nurse-Parent Partnership (아동간호사 직무스트레스에 영향을 미치는 요인: 자기효능, 감정노동, 아동간호사-환아부모 파트너십을 중심으로)

  • Hong, Eunyoung;Yang, Yun-Jeong
    • Child Health Nursing Research
    • /
    • v.21 no.3
    • /
    • pp.236-243
    • /
    • 2015
  • Purpose: In this study self-efficacy, emotional labor, pediatric nurse-parent partnership and job stress of pediatric nurses were examined. Factors affecting job stress of pediatric nurses were also investigated. Methods: The study was done between June and September 2014, with a convenience sample of 145 nurses from 3 advanced general hospitals, 5 general hospitals and 2 children's hospitals. Research data were collected via questionnaires and analysed using SPSS version 18.0. Results: Average levels of self-efficacy, emotional labor and job stress were similar to other general nurses and the average level of pediatric nurse-parent partnership was also similar to other pediatric nurses. Job stress of pediatric nurses showed a positive correlation with emotional labor and negative correlations with self-efficacy and pediatric nurse-parent partnership. The most significant factor affecting job stress in pediatric nurses was emotional labor (${\beta}=0.372$, p<.001). The combination of emotional labor, pediatric nurse-parent partnership and self-efficacy accounted for 25.4% of job stress in pediatric nurses. Conclusion: These results suggest that nursing management strategies to decrease emotional labor and improve pediatric nurse-parent partnerships and self-efficacy are critical to decrease job stress for pediatric nurses. Continued development of nursing management interventions to decrease job stress in pediatric nurses is suggested.

Emotional Reactions, Sentiment Disagreement, and Bitcoin Trading

  • Dong-Yeon Kim;Yongkil Ahn
    • Asia-Pacific Journal of Business
    • /
    • v.14 no.4
    • /
    • pp.37-48
    • /
    • 2023
  • Purpose - This study aims to explore the influence of emotional discrepancies among investors on the cryptocurrency market. It focuses on how varying emotions affect market dynamics such as volatility and trading volume in the context of Bitcoin trading. Design/methodology/approach - This study involves analyzing data from Bitcointalk.org, consisting of 57,963 posts and 2,215,776 responses from November 22, 2009, to December 31, 2022. Tools used include the Linguistic Inquiry and Word Count (LIWC) software for classifying emotional content and the Python Pattern library for sentiment analysis. Findings - The results show that heterogeneous emotional feedback, whether positive or negative, significantly influences Bitcoin's intraday volatility, skewness, and trading volume. These findings are more pronounced when the underlying emotion in the feedback is amplified. Research implications or Originality - This study underscores the significance of emotional factors in financial decision-making, especially within the realm of social media. It suggests that investors and market strategists should consider the emotional landscape of online forums when making investment choices or formulating market strategies. The research also paves the way for future studies regarding the behavioral impact of emotions on the cryptocurrency market.

Discrimination of Emotional States In Voice and Facial Expression

  • Kim, Sung-Ill;Yasunari Yoshitomi;Chung, Hyun-Yeol
    • The Journal of the Acoustical Society of Korea
    • /
    • v.21 no.2E
    • /
    • pp.98-104
    • /
    • 2002
  • The present study describes a combination method to recognize the human affective states such as anger, happiness, sadness, or surprise. For this, we extracted emotional features from voice signals and facial expressions, and then trained them to recognize emotional states using hidden Markov model (HMM) and neural network (NN). For voices, we used prosodic parameters such as pitch signals, energy, and their derivatives, which were then trained by HMM for recognition. For facial expressions, on the other hands, we used feature parameters extracted from thermal and visible images, and these feature parameters were then trained by NN for recognition. The recognition rates for the combined parameters obtained from voice and facial expressions showed better performance than any of two isolated sets of parameters. The simulation results were also compared with human questionnaire results.

A Human Sensibility Ergonomic Design for Developing Aesthetically and Emotionally Affecting Glass Panels of Changing Colors

  • Kim, Sang Ho;Kim, Sun Ah;Shin, Jong Kyu;Ahn, Jeong Yoon
    • Journal of the Ergonomics Society of Korea
    • /
    • v.35 no.6
    • /
    • pp.535-550
    • /
    • 2016
  • Objective: To enhance user experience of the product by using "wow" materials and parts, a framework for participatory emotional design and evaluation was proposed and validated through a case study in this paper. Background: Customers in recent days value a product which provides new feeling and images they want to get while interacting with it beyond its function, quality, and usability. Since the product consists of various parts and materials, "wow" materials and parts which can affect the customer's feeling and emotions are the essential components for changing the user experience. Method: A framework for participatory and human sensibility ergonomic design was considered and applied on developing the aesthetically and emotionally affecting glass panels of changing colors. Design experts defined a target market for this multicolor glass panels and modified the existing designing goal. Constraints for this design modification were identified by market trend research and consulting with the company which owns the technology for checking out its feasibility. The company developed and provided prototype samples as well as their competing materials. Quantitative and qualitative evaluation of the emotional quality was conducted to validate whether the design goal was achieved successfully. Results: The target market for the developing materials was defined as finishing for the buildings. The designing goal was set as to feed new visual sensation of clean and colorful images. The emotional quality of two different types of multicolor glass panels and an ordinary unicolor panel were evaluated quantitatively with semantic differential method. Results showed that the emotion of the subjects for the multicolor glass panels can be abstracted into two dimensions; named 'colorfulness' and 'harmony'. It was found that the developed samples got higher scores in emotional quality for both dimensions compared to the ordinary one. Age was found to be a significant factor for evaluating the emotional quality of colorfulness. Conclusion and Applications: The proposed framework is a valid approach for enhancing the user experience of the product by participatory design of emotional materials and parts. This framework can be applied easily on the emotional design and evaluation of different materials and components.

The Informative Support and Emotional Support Classification Model for Medical Web Forums using Text Analysis (의료 웹포럼에서의 텍스트 분석을 통한 정보적 지지 및 감성적 지지 유형의 글 분류 모델)

  • Woo, Jiyoung;Lee, Min-Jung;Ku, Yungchang
    • Journal of Information Technology Services
    • /
    • v.11 no.sup
    • /
    • pp.139-152
    • /
    • 2012
  • In the medical web forum, people share medical experience and information as patients and patents' families. Some people search medical information written in non-expert language and some people offer words of comport to who are suffering from diseases. Medical web forums play a role of the informative support and the emotional support. We propose the automatic classification model of articles in the medical web forum into the information support and emotional support. We extract text features of articles in web forum using text mining techniques from the perspective of linguistics and then perform supervised learning to classify texts into the information support and the emotional support types. We adopt the Support Vector Machine (SVM), Naive-Bayesian, decision tree for automatic classification. We apply the proposed model to the HealthBoards forum, which is also one of the largest and most dynamic medical web forum.