• Journal of Distribution Science
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• v.22 no.2
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• pp.103-113
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• 2024

Purpose: With the popularity of artificial intelligence (AI) in the service industry and occurrence ofservice failures in AI-based services, understanding human-robot interaction issues in service failure situations is especially important. Some issues which deserve further empirical investigation are whether consumers can develop the same tolerance for chatbots after service failure as they have for human agents, and the relationship between agent type and tolerance is mediated by the mechanisms of perceived warmth and perceived competence. Research Design, Data, and Methodology: This research experimentally collected and analyzed data from 119 university students who had experienced chatbots service failures. Differences in tolerance towards human agents and chatbots after experiencing service failures were explored, with a further examination of the mediating pathways between this relationship via perceived warmth and perceived competence. Results: Consumers are more tolerant ofservice failure with chatbots compared to service failure with human agents. Significant mediation of the relationship between service agent and service failure tolerance by perceived competence, while perceived warmth has no significant mediating effect. Conclusions: This research enhances our understanding of AI-assisted services, human-computer interaction, improves the service functionality of existing smart devices, and deepens the understanding of the relationship between consumer responses and behaviors.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.197-205
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• 2021

In this study, we would like to confirm the impact of emotional intelligence perceived by members of medical institutions on job satisfaction and the mediating effect of self-efficacy. To test the hypothesis of the study, a survey was conducted on members of medical institutions (excluding doctors) in Gyeonggi Province, and statistical analysis was conducted using SPSS 22.0. First of all, the research results showed a positive impact only on use of emotion among the sub-factors of emotional intelligence in the impact relationship between emotional intelligence perceived by members on self-efficacy. Second, in the impact relationship of emotional intelligence on job satisfaction, which is a sub-factor of emotional intelligence, self-emotion appraisal, others' emotion appraisal, regulation of emotion, and use of emotion all showed positive effects. Third, the effect of members' self-efficacy on job satisfaction was also positive, and fourth, the mediating effect of self-efficacy between emotional intelligence and job satisfaction was also confirmed. Therefore, programs to improve members' emotional intelligence and self-efficacy are introduced and institutional needs are required.

• Korean Journal of Human Ecology
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• v.15 no.1
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• pp.71-81
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• 2006

The purpose of this study is to examine the differences in young children's multiple intelligence and social behaviors based not only on Montessori and general programs of day care centers but also on their gender and social- demographic factors. The subjects were 329 young children (182 boys and 147 girls aged from four to five) from two day care centers in Cheongju city. The instruments used in this study were HAPI (Hillside assessment of Perceived Intelligence) to measure the surveyee's multiple intelligence and Park & Lee's scale to measure their social behaviors. The frequencies, percentiles, mean, standard deviations, Cronbach a, t-teat, F and LSD were used to analyze the collected data through SPSS WIN program. The results of this study are as follows: 1) As for young children's multiple intelligence, there are differences according to young children's gender, order of birth, parents' level of education and teacher's working period out of social-demographic factors. 2) As for the young children's social behavior, there are differences according to young children's gender, mother's level of education and teacher's working period out of social-demographic factors.

• Journal of Families and Better Life
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• v.28 no.2
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• pp.77-87
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• 2010

The aim of the study is to investigate the effects of fathering practice on adolescents' emotional intelligence and stress coping behaviors respectively. Participants were 654 middle and high school students(male 330, female 324) in Seoul and Gyeonggi area. Questionnaires included fathering practice, emotional intelligence, and stress coping behaviors. Data were analyzed by SPSS WIN 12.0 for t-test, simple and stepwise multiple regression analysis. The major findings were as follows: First, middle school students perceived more fathering practice than high school students. Second, fathering practice(understanding, educating, supporting) were significant predictors of adolescents' emotional intelligence. Third, fathering practice(understanding, educating) were significant predictors of adolescents' active coping behaviors and social support seeking coping behaviors respectively. Fourth, adolescents' active coping behaviors and social support seeking coping behaviors had a partial mediating effect on the relationship between fathering practice and adolescents' emotional intelligence.

• Journal of Home Health Care Nursing
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• v.23 no.1
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• pp.90-99
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• 2016

Purpose: The purpose of this study was to examine the influences of emotional intelligence and attitudes about death on hospice volunteers' perception of life as meaningful. Methods: In this study, 232 hospice volunteers who were serving at 3 university hospitals and 7 general hospitals for 6 months or longer. Data were collected using self-report questionnaires from January 20 to February 15, 2016. Data were analyzed using descriptive statistics, independent-tests, one way ANOVAs, Pearson's correlation coefficients, and multiple regression analyses with SPSS 21.0. Results: Hospice volunteers' perception of life as meaningful was positively correlated with their attitudes toward death and emotional intelligence. The significant predictors of perception of meaning were emotional intelligence, attitudes toward death, religion and perceived health status. These variables explained 41.0% of the variance in hospice volunteers' perception of life as meaningful. Conclusion: These results suggest that hospice volunteers perceptions of life as meaningful can be changed positively by increasing emotional intelligence and positive attitudes about death.

• Journal of Distribution Science
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• v.19 no.5
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• pp.49-60
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• 2021

Purpose: This study aimed to explore the variables that may play a significant role in inducing Facebook users to use Facebook as online information distribution channels continuously. Research design, data, and methodology: The population of this study are all Facebook users who have actively used Facebook as a social media as online information distribution for at least one year. Purposive sampling technique was used in this study and 290 respondents were enrolled. The data was collected using a questionnaire and further analyzed with path analysis and SEM-PLS approach. Result: The results showed that perceived ease of use, perceived critical mass, perceived enjoyment, and perceived information intelligence have a positive and a significant effect towards perceived usefulness. Perceived usefulness also has a positive and significant effect on users' attitude, and users' attitude has a positive and significant effect on intentions to use Facebook continuously among its users. Conclusions: Hence, it is important for Facebook as an online information distribution channel to maintain its perceived usefulness in order to create a positive impact on its users' and induce Facebook users' to use social media continuously.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.231-252
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• 2021

Artificial intelligence (AI) is a key technology that will change the future the most. It affects the industry as a whole and daily life in various ways. As data availability increases, artificial intelligence finds an optimal solution and infers/predicts through self-learning. Research and investment related to automation that discovers and solves problems on its own are ongoing continuously. Automation of artificial intelligence has benefits such as cost reduction, minimization of human intervention and the difference of human capability. However, there are side effects, such as limiting the artificial intelligence's autonomy and erroneous results due to algorithmic bias. In the labor market, it raises the fear of job replacement. Prior studies on the utilization of artificial intelligence have shown that individuals do not necessarily use the information (or advice) it provides. Algorithm error is more sensitive than human error; so, people avoid algorithms after seeing errors, which is called "algorithm aversion." Recently, artificial intelligence has begun to be understood from the perspective of the augmentation of human intelligence. We have started to be interested in Human-AI collaboration rather than AI alone without human. A study of 1500 companies in various industries found that human-AI collaboration outperformed AI alone. In the medicine area, pathologist-deep learning collaboration dropped the pathologist cancer diagnosis error rate by 85%. Leading AI companies, such as IBM and Microsoft, are starting to adopt the direction of AI as augmented intelligence. Human-AI collaboration is emphasized in the decision-making process, because artificial intelligence is superior in analysis ability based on information. Intuition is a unique human capability so that human-AI collaboration can make optimal decisions. In an environment where change is getting faster and uncertainty increases, the need for artificial intelligence in decision-making will increase. In addition, active discussions are expected on approaches that utilize artificial intelligence for rational decision-making. This study investigates the impact of artificial intelligence on decision-making focuses on human-AI collaboration and the interaction between the decision maker personal traits and advisor type. The advisors were classified into three types: human, artificial intelligence, and human-AI collaboration. We investigated perceived usefulness of advice and the utilization of advice in decision making and whether the decision-maker's personal traits are influencing factors. Three hundred and eleven adult male and female experimenters conducted a task that predicts the age of faces in photos and the results showed that the advisor type does not directly affect the utilization of advice. The decision-maker utilizes it only when they believed advice can improve prediction performance. In the case of human-AI collaboration, decision-makers higher evaluated the perceived usefulness of advice, regardless of the decision maker's personal traits and the advice was more actively utilized. If the type of advisor was artificial intelligence alone, decision-makers who scored high in conscientiousness, high in extroversion, or low in neuroticism, high evaluated the perceived usefulness of the advice so they utilized advice actively. This study has academic significance in that it focuses on human-AI collaboration that the recent growing interest in artificial intelligence roles. It has expanded the relevant research area by considering the role of artificial intelligence as an advisor of decision-making and judgment research, and in aspects of practical significance, suggested views that companies should consider in order to enhance AI capability. To improve the effectiveness of AI-based systems, companies not only must introduce high-performance systems, but also need employees who properly understand digital information presented by AI, and can add non-digital information to make decisions. Moreover, to increase utilization in AI-based systems, task-oriented competencies, such as analytical skills and information technology capabilities, are important. in addition, it is expected that greater performance will be achieved if employee's personal traits are considered.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.364-370
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• 2017

Creative thinking and fusion diversity of the performing arts pursue the settlement of empirical value realization by assuming new communication by genre. This new value and communication can create a type of collective intelligence with a different attempt based on the individual communication and horizontal thinking of the masses. Therefore, the empirical value and communication of the 21st century convergence(fusion) performing arts is possible through new types and analysis, and also were understood as the horizontal creation structure of the artist. As a result, first, the concept of the right value of 'convergence' was perceived as empirical communication depending on the empirical thinking ability of genre artists. Second, off-genre and collaborative tendencies are due to cooperation based on intellectual ability and recognition of horizontal communication by genre. Third, in the collaboration, the public's individualized communication ability and universal communication recognition should be premised and perceived the empirical definition about the collective intelligence. In conclusion, it is concluded that empirical value and communication of convergence performing arts enable to the experimental creation of collective intelligence, and that the relationship structure extends to a meaningful transition of convergence interpretation and expression of performing arts.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.43-50
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• 2020

In this paper, we propose to study the factors affecting the user's intention to use smart music platform, and on the basis of studying the impact of service quality on the user's intention to use, such as perceived usability, perceived ease, perceived entertainment and perceived cost, respectively. Based on this, the impact factors model on the usage intention of smart music platform users was presented, and 398 questionnaires were collected through a survey of university students majoring in Chinese music, and the collected data were obtained by conducting frequency analysis, reliability analysis, exploratory factor analysis, correlation analysis, and structural equation model analysis using spss20.0 and amos20.0. The results show that: Quality of service has a positive effect on perceived usefulness, perceived ease of use, perceived entertainment and perceived cost. A study found that perceived usefulness, perceived ease of use, and perceived entertainment have a positive effect on users' intention of use and perceived cost has a negative effect on their intention of use. Through this conclusion, the entrepreneur presented an important meaning in promoting sustainable development of smart music platforms by improving the operation and profit model of smart music platforms.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.3
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• pp.464-480
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• 2022

With the steady development of Artificial Intelligence (AI), online stores are adopting chatbot services as virtual shopping assistants. This study proposes the concept of para-social presence to explore the undiscovered role of fashion chatbots' emotional and relational characteristics on service acceptance. Based on the Technology Acceptance Model (TAM), this study investigates the effect of a chatbot's para-social presence on service acceptance intention through consumers' beliefs. The web-based experiment was conducted on adult consumers who experienced chatbot services in an online shopping situation. A total of 247 responses were analyzed using confirmatory factor analysis, structural equation modeling, and multi-group SEM by AMOS 21.0 and SPSS 23.0. The findings illustrate that the chatbot's intimacy positively influenced consumers' perceived enjoyment, while the chatbot's understanding had a significant effect on perceived usefulness and ease of use. The chatbot's involvement had a positive effect on all consumer beliefs. Moreover, perceived ease of use had a positive influence on usefulness. A greater level of perceived usefulness and enjoyment positively heightened consumers' service acceptance intention. This study also verifies the moderating role of a need for human interaction. Consumers with a high need for human interaction have a relatively low tendency to perceive chatbot services as useful.