• Title/Summary/Keyword: Utilization & Satisfaction

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The association between the social presence and trust of chatbots and the sociodemographic characteristics of artificial intelligence chatbots users in general hospitals : focusing on sex and age (의료기관 인공지능 챗봇 이용자의 인구사회학적 특성과 챗봇의 사회적 실재감 및 신뢰감의 관련성 연구 - 성별과 연령 중심으로)

  • Seung Won Jung;Seo Yeon Hwang;Gi Eun Choi;Eun Young Jo;Jin Wook Lee;Jin Young Nam
    • Korea Journal of Hospital Management
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    • v.28 no.3
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    • pp.27-38
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    • 2023
  • Objectives: This study explores the impact of age groups on social presence and trust among users of medical artificial intelligence chatbots. Furthermore, we investigate the existence of gender differences within these relationships. Method: We collected data through a survey from people who had interacted with general hospital chatbot services, either by making reservations or seeking consultations. Multiple linear regression analysis was conducted to examine the relationship between general characteristics of study population and social presence and trust of artificial intelligence chatbots. Additionally, we conducted stratified analysis to confirm the presence of gender differences within these relationship. Results: Among 300 participants, those aged 50 and older had higher social presence of artificial intelligence chatbots and greater trust of artificial intelligence chatbots (social presence, 𝛽=0.543, p=0.003; trust, 𝛽=0.787, p=0.000). In stratified by sex, women aged 50 and older had higher social presence and trust of artificial intelligence chatbots compared to those in their 30s age group (social presence, 𝛽 = 0.925, p=0.002; trust, 𝛽=0.645, p=:0.007). However, there was no statistically significant relationship between age and chatbot social presence and trust in men. Conclusion: This study demonstrates that advanced age plays a significant roles in users' social presence and trust in medical artificial intelligence chatbots. Futhermore, our findings reveal gender differences with women aged 50 and older showing the most substantial levels of social presence and trust. Therefore, it is expected that this finding can serve as valuable evidence to enhance the satisfaction of medical institution service users, offering crucial insights into the effective utilization of chatbot services.

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The Relationship between Metacognition, Learning Flow, and Problem-Solving Ability of Dental Hygiene Students

  • Soo-Auk Park
    • Journal of dental hygiene science
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    • v.23 no.4
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    • pp.271-281
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    • 2023
  • Background: This study aims to improve dental hygiene education by investigating the relationship between metacognition, learning flow, and problem-solving abilities in dental hygiene majors. Methods: A survey was conducted on 2nd to 4th-year students from dental hygiene programs, with 132 responses analyzed. Data analysis involved t-tests and ANOVA to examine the differences in metacognition, learning flow, and problem-solving abilities based on the general characteristics. Multiple regression analysis was employed to investigate the factors influencing the dependent variable, which is problem-solving abilities. The collected data were analyzed using SPSS. Results: First, when comparing metacognition, learning flow, and problem-solving abilities based on the general characteristics of the study participants, statistically significant differences were observed in common factors such as major satisfaction, subjective academic performance, GPA (grade point average), and reason for major choice (p<0.05). Second, it was found that there is a significant positive correlation between metacognition, learning flow, and problem-solving abilities in dental hygiene students (r≥0.79, p<0.05). In other words, higher levels of metacognition and learning flow were associated with better problem-solving abilities. Third, factors influencing problem-solving abilities were identified, with both metacognition and learning flow having a statistically significant positive impact. It was also noted that metacognition had a greater influence on problem-solving abilities compared to learning flow (adjusted R2=0.815, p<0.05). Conclusion: To enhance the core competency of problem-solving abilities, it is essential to improve metacognition and learning flow. To enhance metacognition and promote learning flow, strategies such as goal setting, utilizing effective learning methods, boosting self-efficacy, managing the learning environment, choosing activities that foster immersion, stress management, self-assessment and feedback integration, improving focus, and utilization a variety of learning experiences will be necessary.

App Development and Usability Evaluation for Caregivers (돌봄 제공자를 위한 디지털 돌봄 앱 개발 및 사용성 평가)

  • Jongchan, Park;Jaegook Kim;Euijae Chung;Changsun Ahn;Bongsu Jung;Youngjoo Kim
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.11
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    • pp.337-346
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    • 2023
  • There is a need to develop an app for a caregiver health management that can provide continuous management in response to changes over time, because elderly people have low digital utilization capabilities, difficulty maintaining regular and continuous self-management. Based on this need, this study designed an app with a user-friendly UI and simple structure for the elderly. The app developed in this study supports regular management of health data such as blood pressure, blood sugar, and heart rate, as well as specific information on physical, disease, cognitive, communication, and environment in the care field. The app developed in this study supports care services by automatically entering data through integration with health management devices, automatically analyzing and visually representing recorded data to understand trends and volatility, and adding scalability to connect with various health management and medical support platforms. The effectiveness and satisfaction of the developed app were confirmed to be significant in the field verification results.

Utilization of Generative Artificial Intelligence Chatbot for Training in Suicide Risk Assessment of Depressed Patients: Focusing on Students at a College of Korean Medicine (우울증 환자의 자살 위험 평가의 훈련을 위한 생성형 인공지능 챗봇의 의학적 교육 활용 사례: 일개 한의과대학 학생을 중심으로)

  • Chan-Young Kwon
    • Journal of Oriental Neuropsychiatry
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    • v.35 no.2
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    • pp.153-162
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    • 2024
  • Objectives: Among OECD countries, South Korea has been having the highest suicide rate since 2018, with 24.1 deaths per 100,000 people reported in 2020. The objectie of this study was to examine the use of generative artificial intellicence (AI) chatbots to train third-year Korean medicine (KM) students in conducting suicide risk assessments for patients with depressive disorders to train students for their clinical practice skills. Methods: The Claude 3 Sonnet model was utilized for chatbot simulations. Students performed mock consultations using standardized suicide risk assessment tools including Ask Suicide-Screening Questions (ASQ) tool and ASQ Brief Suicide Safety Assessment. Experiences and attitudes were collected through an anonymous online survey. Responses were rated on a 1~5 Likert scale. Results: Thirty-six students aged 22~30 years participated in this study. Their scores for interest and appropriateness (4.66±0.57), usefulness (4.60±0.61), and overall experience (4.63±0.60) were high. Their evaluation of the usability of artificial intelligence chatbot was also high at 4.58±0.70 points. However, their trust in chatbot responses (Q12) was lower (3.86±0.99). Common issues related to dissatisfaction included conversation disruptions due to token limits and inadequate chatbot responses. Conclusions: This is the first study investigating generative AI chatbots for suicide risk assessment training in KM education. Students reported high satisfaction, although their trust in chatbot accuracy was moderate. Technical limitations affected their experience. These preliminary findings suggest that generative AI chatbots hold promise for clinical training, particularly for education in psychiatry. However, improvements in response accuracy and conversation continuity are needed.

Evaluation of Oven Utilization Effects at School Foodservice Facilities in Daegu and Gyeongbuk Province (대구·경북지역 학교급식소 오븐 사용 효과 평가)

  • Lee, Jung-A;Lee, Jin-Hyang;Bae, Hyun-Joo
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.39 no.7
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    • pp.1064-1072
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    • 2010
  • The objectives of this study were to gain an overview of practices and effect evaluation of oven utilization at school foodservice facilities in Daegu and Gyeongbuk province. Out of 147 dieticians, who responded for questionnaires, 44 dieticians used the oven and 103 dieticians did not use the oven. All statistical analyses were conducted with the SPSS 14.0 statistical software program. With regard to the style of foodservice system, 74.4% were urban, 23.3% were rural, and 2.3% were remote country. Also, 23.3% of school foodservices produced meals by batch cooking. According to the results of the expected effect and using effect analysis for 27 items, the average of evaluation score about expected effect was 1.64 points and that of using effect was 1.61 points. Both expected effect and using effect had higher scores than average points in 13 items out of 27 items. Using effect had higher scores than expected effect in 4 items. In conclusion, using ovens could help to increase foodservice satisfaction of students at school foodservice, because it can improve the various cooking methods and the food safety management. Therefore, it is important to modernize and automate cooking equipment for quality improvement of school foodservice operations.

A Study on Improvement of Collaborative Filtering Based on Implicit User Feedback Using RFM Multidimensional Analysis (RFM 다차원 분석 기법을 활용한 암시적 사용자 피드백 기반 협업 필터링 개선 연구)

  • Lee, Jae-Seong;Kim, Jaeyoung;Kang, Byeongwook
    • Journal of Intelligence and Information Systems
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    • v.25 no.1
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    • pp.139-161
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    • 2019
  • The utilization of the e-commerce market has become a common life style in today. It has become important part to know where and how to make reasonable purchases of good quality products for customers. This change in purchase psychology tends to make it difficult for customers to make purchasing decisions in vast amounts of information. In this case, the recommendation system has the effect of reducing the cost of information retrieval and improving the satisfaction by analyzing the purchasing behavior of the customer. Amazon and Netflix are considered to be the well-known examples of sales marketing using the recommendation system. In the case of Amazon, 60% of the recommendation is made by purchasing goods, and 35% of the sales increase was achieved. Netflix, on the other hand, found that 75% of movie recommendations were made using services. This personalization technique is considered to be one of the key strategies for one-to-one marketing that can be useful in online markets where salespeople do not exist. Recommendation techniques that are mainly used in recommendation systems today include collaborative filtering and content-based filtering. Furthermore, hybrid techniques and association rules that use these techniques in combination are also being used in various fields. Of these, collaborative filtering recommendation techniques are the most popular today. Collaborative filtering is a method of recommending products preferred by neighbors who have similar preferences or purchasing behavior, based on the assumption that users who have exhibited similar tendencies in purchasing or evaluating products in the past will have a similar tendency to other products. However, most of the existed systems are recommended only within the same category of products such as books and movies. This is because the recommendation system estimates the purchase satisfaction about new item which have never been bought yet using customer's purchase rating points of a similar commodity based on the transaction data. In addition, there is a problem about the reliability of purchase ratings used in the recommendation system. Reliability of customer purchase ratings is causing serious problems. In particular, 'Compensatory Review' refers to the intentional manipulation of a customer purchase rating by a company intervention. In fact, Amazon has been hard-pressed for these "compassionate reviews" since 2016 and has worked hard to reduce false information and increase credibility. The survey showed that the average rating for products with 'Compensated Review' was higher than those without 'Compensation Review'. And it turns out that 'Compensatory Review' is about 12 times less likely to give the lowest rating, and about 4 times less likely to leave a critical opinion. As such, customer purchase ratings are full of various noises. This problem is directly related to the performance of recommendation systems aimed at maximizing profits by attracting highly satisfied customers in most e-commerce transactions. In this study, we propose the possibility of using new indicators that can objectively substitute existing customer 's purchase ratings by using RFM multi-dimensional analysis technique to solve a series of problems. RFM multi-dimensional analysis technique is the most widely used analytical method in customer relationship management marketing(CRM), and is a data analysis method for selecting customers who are likely to purchase goods. As a result of verifying the actual purchase history data using the relevant index, the accuracy was as high as about 55%. This is a result of recommending a total of 4,386 different types of products that have never been bought before, thus the verification result means relatively high accuracy and utilization value. And this study suggests the possibility of general recommendation system that can be applied to various offline product data. If additional data is acquired in the future, the accuracy of the proposed recommendation system can be improved.

Application of Seawater Plant Technology for supporting the Achievement of SDGs in Tarawa, Kiribati (키리바시 타라와의 지속가능발전목표 달성 지원을 위한 해수플랜트 기술 활용)

  • Choi, Mi-Yeon;Ji, Ho;Lee, Ho-Saeng;Moon, Deok-Soo;Kim, Hyeon-Ju
    • Journal of Appropriate Technology
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    • v.7 no.2
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    • pp.136-143
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    • 2021
  • Pacific island countries, including Kiribati, are suffering from a shortage of essential resources as well as a reduction in their living space due to sea level rise and coastal erosion from climate change, groundwater pollution and vegetation changes. Global activities to solve these problems are being progressed by the UN's efforts to implement SDGs. Pacific island countries can adapt to climate change by using abundant marine resources. In other words, seawater plants can assist in achieving SDGs #2, #6 and #7 based on SDGs #14 in these Pacific island countries. Under the auspice of Korea International Cooperation Agency (KOICA), Korea Research Institute of Ships and Ocean Engineering (KRISO) established the Sustainable Seawater Utilization Academy (SSUA) in 2016, and its 30 graduates formed the SSUA Kiribati Association in 2017. The Ministry of Oceans and Fisheries (MOF) of the Republic of Korea awarded ODA fund to the Association. By taking advantage of seawater resource and related plants, it was able to provide drinking water and vegetables to the local community from 2018 to 2020. Among the various fields of education and practice provided by SSUA, the Association hope to realize hydroponic cultivation and seawater desalination as a self-support project through a pilot project. To this end, more than 140 households are benefiting from 3-stage hydroponics, and a seawater desalination system in connection with solar power generation was installed for operation. The Association grows and supplies vegetable seedlings from the provided seedling cultivation equipment, and is preparing to convert to self-support business from next year. The satisfaction survey shows that Tarawa residents have a high degree of satisfaction with the technical support and its benefits. In the future, it is hoped that SSUA and regional associations will be distributed to neighboring island countries to support their SDGs implementations.

Analysis of User Behavior for the Revitalization of Small Parks near Stations by the Location Types in Influential Subway Area (역세권내 역 인접 소공원의 유형별 이용행태분석을 통한 활성화 방안 연구)

  • Lee, Joo-Hee;Park, Jin-A.
    • Journal of the Korean Institute of Landscape Architecture
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    • v.36 no.3
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    • pp.9-20
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    • 2008
  • The government is planning to link a small park with the soon to be ready subway line 9 as a part of Seoul's policy, "The standard or plan for making a water-friendly space by water use" (2007). However, the specified concepts and instructions of the small parks need further work. Therefore, the policy is expected to expand to neighboring small parks near the subway station, but these are not supported by research or data which suggests the needs or actual user behavior and utilization of small parks. our country added the specified concept of small parks and theme parks to the classification of urban parks in the Urban Park Act Revision (2005.3.31), but the concept of small parks is not clearly settled in the law in the scopes of its function, scale, promotion nor particularly defined plans for small park projects. This study examines as small park near a subway station. The characteristics of there region and users vary from the characteristics of the station and region. In the "directions for concrete standards under the types of urban parks and green zones" (2007.2) the types of small parks are classified by "regional characteristics" and "user characteristics". Therefore, this study classifies the subject of neighboring small parks near subway stations as the neighborhood and small urban parks according to the Urban Park Act. The study was paralleled with observation and questionnaires on the analysis of the neighborhood and small urban parks. The actual conditions of park utilization and user behavioral characteristics were deducted by observation, while the questionnaire determined actual user utilization, importance and satisfaction level as well as the small park environment. This study largely focused on three aspects: park facility, design of this sentence isn't even complete. The second aspect isn't finished and the third isn't here.

A Study on Sickness and the Status of Medical Care in a Rural Area (일부(一部) 농촌주민(農村住民)의 상병(傷病) 및 의료실태(醫療實態)에 관(關)한 조사연구(調査硏究))

  • Park, Jeong-Sun
    • Journal of Preventive Medicine and Public Health
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    • v.14 no.1
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    • pp.65-74
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    • 1981
  • This survey was made to determine the overall health situation on (1) the status of sickness; (2) the medical care utilization; (3) the medical cost in Mi-Kum Myun, Nam Yang Ju Gun, Kyung-Gi Do. The survey with questionnaire was carried out with 2,840 peoples in 560 households from August 9th to 16th, 1979. The findings from the survey were as follows; 1. Annual morbidity rate of the prolonged ill cases was 97.2 per 1,000 population (male 94.7, female 99.6), The highest age specific morbidity rate was 274.5 of the 45-to 64-year group and the lowest was 21.9 of the 5-to 14-year group. 2. Annual morbidity rate of the new patients was 777.5 per 1,000 population(male 644.5, female 909.5). 3. The chief complaints distribution of the prolonged ill cases was: local pain 36.6%, indigestion 22.4%, and coughing 7.3%, respectively, In terms of age and sex distribution, a large number of female of the 45-to 64-year group complained of local pain or general pain and a large number of both sexes of the 25-to 44-year group complaned of indigestion. 4. The major diseases of the new patients which classified with International Classfication of Diseases (I.C.D.) were disease of the respiratory system, disease of the digestive system, and disease of the musculo-skeletal system and connective tissue for male, disease of the respiratory system, disease of the digestive system, and accident, poisoning, violence for female. 5. Total ill days of the 92 new patients were 536 days and average ill days per case were $6{\pm}38.3$ days. 6. The rate of receiving treatment in the prolonged ill cases was 82.2%(medical facilities 46.4%, drug stores 27.5%, herb medicine 8.3%). 7. The rate of receiving treatment by first choice of the new patients was 88.0% (drug stores 57.%, medical facilities 28.2%, and herb medicine 2.2%), and the rate of receiving treatment by second choice was 30.9% of first treatment cases (medical facilities 44.0%, drug store 44.0% and herb meicine 12.0%). 8. Annual hospitalization rate per 1,000 population was 12.0 (male 12.0, female 11.9). 9. The locations of medical facilities utilized by out-patients were: in the prolonged ill cases Seoul or other places 66.4%, Nam Yang Ju Gun 33.6%, in cases of the new patients Seoul or other places 35.1% and Nam Yang Ju Gun 64.9% respectively. 10. The satisfaction rate of the new patients by mode of receiving treatment was: in cases of primary utilization by first choice herb medicine 100.0%, medical facilities 88.5%, and drug stores 69.8%, in cases of secondary utilization medical facilities 100.0%, herb medicine 100.0%, and drug stores 72.7% respectively. 11. The medical cost per utilized facilities was as follows; in average medical fee per case out-patient 8.947 won, in-patient 266,000 won, drug stores 1,532 won, and herb medicine 15,607 won, in average medical fee per day out-patient 4,829 won, in patient 14,178 won, drug stores 891 won, and herb medicine 4,906 won respectively. 12. The sources of the hospital charges paid out were: there own expense 50.0%, debt 35.3%, and security of medical care 14.7% respectively.

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The Recognition and Utilization of Middle School Technology.Home Economics Teacher's Guidebook (중학교 "기술.가정" 교과 교사용 지도서에 대한 가정 교사의 인식 및 활용)

  • Kang, Eun-Yeong;Shin, Hye-Won
    • Journal of Korean Home Economics Education Association
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    • v.19 no.2
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    • pp.1-12
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    • 2007
  • This study analyzed the recognition and utilization regarding teacher's guidebook for middle school technology-home economics class in the 7th Educational Curriculum. The data were collected via e-mail to teachers teaching home economics in middle schools. These e-mail addresses were acquired from middle school web pages registered on the Educational Board. The 355 data were analyzed using the SPSS program. The results were as follows: First, teachers recognized highly the necessity of teacher's guidebook. However, as the actual guidebook was not adequately helpful, the overall degree of satisfaction was relatively low. Teachers utilizing guidebook had more positive recognition on teacher's guidebook than teachers who did not. And teachers majored in technology education thought teacher's guidebook more helpful compared with teachers majored in home economics education. Second, teachers referenced teacher's guidebook mostly for field practice guidance. Third, teachers who did not utilize teacher's guidebook used other reference materials such as Internet Web sites and audiovisual materials. They were most commonly used for the reason that the contents were ample and easy to access. Fourth, the followings were suggested to improve teacher's guidebook. The provision of learning contents that can be practically used in class, the various samples of teaching-learning method, the specified methods of planning and criteria for performance assessment, the adequate supplementations regarding textbook contents, and the improvement of the outward layout format of the guidebook.

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