• Journal of Digital Convergence
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• v.20 no.3
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• pp.241-249
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• 2022

Artificial intelligence is applied not only to the daily life of individuals but also to all industries, and it is no wonder that the age of artificial intelligence has arrived. Therefore it is important to understand the factors that influence the acceptance of AI. This study analyzes whether "AI Effect" which recognizes that commercialized or familiar artificial intelligence is no longer artificial intelligence, affects the acceptance of artificial intelligence and proposes an acceptance plan based on the results. Two experiments were conducted. The first experiment was conducted on 105 adults in the result it was found that 32.4% (34 people) had AI Effect, AI Effect existed in 43.6% (24 people) of women and 20% (10 people) of men, that is, the proportion of AI Effect exsitence in women is about twice as high.and AI Effect exists when the level of AI knowledge is low. The second experiment was conducted 240 adults and 85 participants with AI Effect were selected. We found the group that recognized experience of AI accepted AI more actively. Understanding of AI Effect is expected to suggest companies' views in order to enhance AI capabilities and acceptance. In addition, future studies are expected on considering individual differences or related to acceptance attitudes.

• 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.

• Journal of Korea Multimedia Society
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• v.23 no.10
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• pp.1318-1330
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• 2020

The purpose of this study is to identify the effect of the innovation characteristics that AI Elderly Care Robots have on elderly consumers and to verify the acceptance or mediated resistance by the elderly of the innovation characteristics. Research was conducted throughout this study of the characteristics of the elderly so that the study results could contribute to the improvement of the quality and manufacture of AI Elderly Care Robots by lowering the psychological resistance of the elderly. Survey questions were answered by senior citizens aged 65 and older. The SPSS25 and AMOS22 programs were used for analysis. The analysis confirmed that innovation resistance has a significant mediated effect on the characteristics of elderly consumers and their willingness to accept the innovation characteristics of the AI Elderly Care Robots. Through this study, Ram's innovation resistance model has been verified empirically and it is estimated that by considering the specificities of elderly consumers and using the information to contribute to the development and modification of AI Elderly Care Robots will increase the willingness of the elderly to accept the innovation characteristics of the AI Elderly Care Robots.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.2867-2881
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• 2022

This study investigates fashion Artificial Intelligence (AI) curation services to expand sustainable consumption. We analyzed the factors that affect the AI fashion curation service experience of women in their 20s and 30s using their clothes. An online survey was conducted from March 29, 2021, to June 4, 2021, for women of the previously mentioned age groups residing in the metropolitan area. Before answering the questionnaire, they installed the "Style Bot" application on their phone, took five or more photos of their clothes according to the manual provided by the application, stored them in a virtual wardrobe on the application, and then responded to the questionnaire using the AI recommended coordinating function. The effect of the properties of fashion AI curation service application on the use of clothes was investigated. Among the attributes of the fashion AI curation service application, convenience, speed, and usefulness were found to have a positive effect on the use of clothes, and promptness had no effect. Second, regarding the impact of clothing utilization on environmental sustainability, clothing utilization was found to have a positive effect on environmental sustainability. Third, environmental sustainability was found to have a positive effect on satisfaction. Fourth, clothing utilization had a positive effect on satisfaction. Thus, fashion AI curation service would help promote service development so that clothes could be used actively through an in-depth understanding of the properties of these services. Finally, the results of this study would contribute to promoting environmental sustainability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.52-54
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• 2021

With the advent of the era of artificial intelligence, robot education and teaching under its empowerment have been widely concerned and applied worldwide. The purpose of this study: systematically evaluate the application effect of AI educational robots in student education and teaching; the method of this study: use the computer to search for relevant education in the search tools such as "Web of Science", "CNKI", "ERIC", "IEEE" A comparative study of the effects of robot teaching and traditional teaching. The retrieval time is from January 2000 to January 2020. Comprehensive MetaAnalysis 2.0 was used for Meta analysis. The results of this study: A quantitative analysis of the 31 valid research literatures included, and an objective evaluation of the effect of the meta-analysis on AI educational robots. The analysis results show that the combined effect of AI educational robots on student learning effects is 0.465 This indicates that educational robots have a moderately positive effect on students 'learning effectiveness. The conclusion of this study: The application effect of AI educational robots in student education and teaching is better than traditional education methods, which can better promote student learning.

• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.35-44
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• 2022

Previous studies showed that an improvement in attitude toward a subject affects academic achievement in the subject. The purpose of this study is to confirm that the AI education program causes changes in the AI attitude of gifted children in elementary school, and that the change in attitude leads to a change in literacy. In this study, we conducted an AI education program for gifted children, and analyze the effect of AI education program on the change in AI attitude AI literacy through pre- and post-test. The result of the analysis showed the statistically significant improvement of AI attitudes. In addition, through regression analysis it was found that the change in AI attitude has a statistically significant direct effect on the change in AI literacy. This study has a limitation in that self-evaluation was used to measure AI attitudes and literacy and conducted to a relatively small number of samples. Even though, it was also confirmed that the activities of making an AI programs experienced in real-life can cause changes in AI attitudes and literacy.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.53-60
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• 2017

The purpose of this study was to identify the factors affecting intention and attitude of artificial intelligence technology(AI) of university students in healthcare using UTAUT model. Participants were 278 college students and the data were collected through self-reported questionnaire from May 15 to June 14, 2016. The collected data were analyzed using PASW Statistics/AMOS 22.0. The results were as follows. The effect of expectation factor, social influence, usefulness of work, anxiety factor had a significant effect on use of AI technology Intention. Factor of expectation effect, social influence, usefulness of work, anxiety factor had a significant effect on use of AI technology. As a result of verifying the significance of the indirect effect, it can be seen that the direct effect of the anxiety factor on the attitude factor is partially mediated by the use intention factor and the intention to use was partially mediated in the direct effect of the usefulness factor of the task on the attitude factor. This result means that it is important to increase the expectation factors, social effects, and perceived usefulness through accurate information based on facts and to reduce vague anxiety in order to increase the positive intention and attitude of university students' use of AI technology.

• Analyses & Alternatives
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• v.8 no.1
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• pp.59-85
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• 2024

This study examines the impact of the development of the artificial intelligence (AI) industry on the economic growth of South Korea. The study uses variables such as the revenue and patent applications of AI-related companies, as well as industry-specific total factor productivity and GDP, to estimate the effects. The results suggest that the growth of the AI industry has a positive effect on the economic growth with a lag of about one year. Specifically, the effect of government AI revenue on GDP growth appears to be greater than that of private companies or consumer-focused AI revenue. This indicates that government policies aimed at promoting the diffusion of the AI industry have had significant effects. The study notes that the period covered by the AI industry survey data is relatively short, and there is a lack of detailed data for the manufacturing sector. I suggest that further improvements and accumulation of data could lead to more robust results.

• The Journal of Pediatrics of Korean Medicine
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• v.29 no.1
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• pp.27-43
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• 2015

Objectives The purpose of this study was to investigate the effects of AI on AD induced by DNCB in mice. AI has antiallergic property that is useful in treating allergy-related-diseases, such as asthma, anaphylactic shock, acute bronchitis and skin diseases, skin pruritus from gastrointestinal diseases. However, AI has not been studied intensively yet regarding anti-inflammatory effect on AD. Therefore, this study was conducted on 2,4-dinitrochlorobezene (DNCB)-induced mice to investigate effects of AI in AD. Methods In the experiment, we divided mice into four groups: a normal group (NOR), a control group (CON), an AI spread group (AI spread), and an AI spread and feeding group (AI spread & feeding). Then examined the changes in the body weight, weights of spleen and ear, thickness of dorsum skin and ear skin, clinical aspects on dorsum skin, historical assessments, proliferation of splenocytes in vitro and in vivo, and cytokine (TNF-${\alpha}$, IL-10). Results From the experiment, the ear weight of AI spread & feeding group was significantly dropped and the ear thickness of both AI spread and AI spread & feeding were decreased significantly. Dorsum skin thickness was also decreased significantly in both AI spread and AI spread & feeding group. Also, AI treatment improved the symptoms of AD, such as coloration, erythema and desquamation and had a better effect on AI spread & feeding group. In histopathological observation, thickened epidermis, hyperkeratosis, pigmentation, hypergranulosis, parakeratosis were diminished as well in both AI spread and AI spread & feeding group. In vitro, we could observe when AI was increased as proliferation rate of splenocytes were increased, too. Conclusions In conclusion, these data suggest that AI can decrease symptoms of AD and show AI can be useful herbal therapy for AD.

• The Journal of the Korea Contents Association
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• v.20 no.10
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• pp.284-293
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• 2020

The rapid progress of AI technology gives us the expectation to solutions to various problems in our society, and at the same time, it gives us anxiety about the side effects that can occur if AI develops beyond human control. This study was conducted in the early 20s with less objection to advanced devices. We attempted to provide clues to understand thoughts and attitudes of the targets about the future environment that will be brought by AI through the process of finding intent the acceptance of strong AI technology. For this, we applied the Theory of Planned Behavior, and further expanded this research model to identify factors affecting the attitude toward AI. As a result, the attitude toward AI and perceived behavioral control had a significant effect on the intention to use to strong AI. In addition, we found that the expectation of the benefit of improving task performance and the anxiety on the threat of relationship disturbance had a significant effect on the attitude toward AI. This study suggests implications for AI-related companies establishing the direction of technology development and for government setting a policy direction for AI adoption.