• The Mathematical Education
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• v.62 no.3
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• pp.401-416
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• 2023

This study systematically examined the influence of preservice teachers' self-efficacy and AI anxiety, on the intention to use AI programs 'knock-knock! mathematics expedition' in mathematics lessons based on a technology acceptance model. The research model was established with variables including self-efficacy, AI anxiety, perceived ease of use, perceived usefulness, and intention of use from 254 pre-service teachers. The structural relationships and direct and indirect effects between these variables were examined through structural equation modeling. The results indicated that self-efficacy significantly affected perceived ease of use, perceived usefulness, and intention to use. In contrast, AI anxiety did not significantly influence perceived ease of use and perceived usefulness. Perceived ease of use significantly affected perceived usefulness and intention to use and perceived usefulness significantly affected intention to use. The findings offer insights and strategies for encouraging the use of 'knock-knock! mathematics expedition' by preservice teachers in mathematics lessons.

• 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.

• 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.

• Journal of Information Technology Services
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• v.20 no.3
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• pp.75-86
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• 2021

As artificial intelligence is actively studied, chatbot systems are being applied to various fields. In particular, many chatbot systems for psychological counseling have been studied that can comfort modern people. However, while most psychological counseling chatbots are studied as rule-base and deep learning-based chatbots, there are large limitations for each chatbot. To overcome the limitations of psychological counseling using such chatbots, we proposes a novel psychological counseling AI chatbot system. The proposed system consists of a GPT-2 model that generates output sentence for Korean input sentences and an Electra model that serves as sentiment analysis and anxiety cause classification, which can be provided with psychological tests and collective intelligence functions. At the same time as deep learning-based chatbots and conversations take place, sentiment analysis of input sentences simultaneously recognizes user's emotions and presents psychological tests and collective intelligence solutions to solve the limitations of psychological counseling that can only be done with chatbots. Since the role of sentiment analysis and anxiety cause classification, which are the links of each function, is important for the progression of the proposed system, we experiment the performance of those parts. We verify the novelty and accuracy of the proposed system. It also shows that the AI chatbot system can perform counseling excellently.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.1058-1092
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• 2023

This study investigates the perception and adoption of ChatGPT (a large language model (LLM)-based chatbot created by OpenAI) among Korean users and assesses its potential as the next disruptive innovation. Drawing on previous literature, the study proposes perceived intelligence and perceived anthropomorphism as key differentiating factors of ChatGPT from earlier AI-based chatbots. Four individual motives (i.e., perceived usefulness, ease of use, enjoyment, and trust) and two societal motives (social influence and AI anxiety) were identified as antecedents of ChatGPT acceptance. A survey was conducted within two Korean online communities related to artificial intelligence, the findings of which confirm that ChatGPT is being used for both utilitarian and hedonic purposes, and that perceived usefulness and enjoyment positively impact the behavioral intention to adopt the chatbot. However, unlike prior expectations, perceived ease-of-use was not shown to exert significant influence on behavioral intention. Moreover, trust was not found to be a significant influencer to behavioral intention, and while social influence played a substantial role in adoption intention and perceived usefulness, AI anxiety did not show a significant effect. The study confirmed that perceived intelligence and perceived anthropomorphism are constructs that influence the individual factors that influence behavioral intention to adopt and highlights the need for future research to deconstruct and explore the factors that make ChatGPT "enjoyable" and "easy to use" and to better understand its potential as a disruptive technology. Service developers and LLM providers are advised to design user-centric applications, focus on user-friendliness, acknowledge that building trust takes time, and recognize the role of social influence in adoption.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.1-9
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• 2021

The core competencies such as technology have been rapidly developing with advent of the fourth industrial revolution. One of the representative technologies in the era of the 4th Industrial Revolution is artificial intelligence(AI). In particular, AI makes human life richer and more comfortable and has many positive aspects. The negative aspect is that AI is likely to replace the organizational members' job and has the ability to replace skills associated with it. These threats may increase the level of perception that organizational members may loss their job. Moreover, it may lead to a sense of anxiety. In addition, organizational members who perceive job uncertainty highly, the job substitution anxiety may be become highly. According to this, their job satisfaction can be lower. Overall, this research emphasized the negative aspects of AI in contrast to the positive aspects of the fourth industrial era. It is also emphasized that the organization should need to recognize such problems and seek solutions to reduce workers' anxiety. Finally, practical implications and research directions of future study were presented through the research results.

• Journal of Korean Neuropsychiatric Association
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• v.53 no.3
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• pp.154-161
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• 2014

Objectives This study was conducted in order to investigate characteristics of temperament, depression, anxiety, attention, and impulsivity in adult males with Attention Deficit/Hyperactivity Disorder (ADHD) and internet addiction tendency. Methods The survey participants were 181 (121 patients and 60 healthy control subjects) adult males older than 19 years of age in Chung-Ang University Hospital and Gongju National Hospital. Subjects were divided according to ADHD with internet addiction tendency (AI), pure adults with ADHD (AD), and healthy control subjects (HC). All groups completed the Adult ADHD Scale (AADHD), Wender-Utah ADHD Rating Scale (WUADHD), Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), the Korean Version of Young Internet Addiction Scale (YIAS-K), Barratt Impulsiveness Scale (BIS) and Temperament Character Inventory-Revised Short version for identification of relationship between ADHD and internet addiction tendency. Results AI groups were found to have higher AADHD, WUADHD, BDI, YIAS-K, and Novelty Seeking scores, compared to the AD and HC groups. The Cooperativeness score of the AI group was significantly lower than that of the AD group and HC group. The BAI and BIS scores of the AI group and AD group were significantly higher than those of the HC group. The Self-Directedness scores of the AI group and AD group were decreased, compared to the HC group. YIAS-K scores were partially related to BDI scores in the AI group. Conclusion The results of this study indicate an association of higher score of BDI with internet addiction tendency in adult patients with ADHD. Management of temperament characteristics, depression, anxiety, attention, and impulsivity may be important for adults with ADHD and internet addiction tendency.

• Journal of Industrial Convergence
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• v.21 no.4
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• pp.165-170
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• 2023

There are cases where the mobility impaired have difficulty moving from the moment they leave the house. If guardians also do not have time to entrust their families, who are socially disadvantaged, to a shelter, the guardian has no choice but to check directly in order to know the location of the guardian. The AI home care solution was designed to relieve the anxiety and labor of caregivers and to provide convenience for protection facility officials and users. If more facilities distribute and use services free of charge to non-profit foundations and protective facilities, the concern of guardians will be reduced, and the burden of facility officials who have to manage facility users will be reduced. In this paper, we provide emergency notification services to guardians in the event of an emergency as well as location and status alarms for guardians, which are all data related to movement, in consideration of the mobility vulnerable. Furthermore, it is necessary to provide a service function that recommends the optimal route using a navigation function to ease the convenience and burden of facility officials. It is necessary to alleviate anxiety by providing necessary information to the guardian, such as the location of the shuttle used by the mobile weak and the time of getting on and off. In addition, while providing services for free, the goal is to improve the quality of service for facility managers and the quality of service for the mobility weak.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.814-817
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• 2020

The number of single-person households is increasing every year, and there are also high concerns about the crime and safety of single-person households. In particular, crimes targeting women are increasing. Although home surveillance camera applications, which are mostly used by single-person households, only provide intrusion detection functions, this service utilizes AI image recognition technologies such as face recognition and object detection to provide theft, violence, stranger and intrusion detection. Users can receive security-related notifications, relieve their anxiety, and prevent crimes through this service.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.339-340
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• 2022

운전자가 필요없는 완전한 자율주행 시대에 있어, 자율주행 차량에 탑승한 사람의 상황인지 측면에서 불안감을 예측하고 이를 저감하는 방법은 매우 중요하다. 본 논문에서는 탑승자의 불안감을 유발시키는 자율주행 환경 요인으로 도로 환경, 차량의 내·외부 환경, 자율주행 제어 환경의 3가지 요소가 도출되었고, 각 요소에서 탑승자의 불안감을 유발시키는 세부 요인들을 도출하여 분석하였다.