본 연구는 충북 청주시 소재 C대학교 인근 커피숍의 외부 및 내부사용 접근성 실태를 시설의 접근과 이 동에 있어서 약자로 간주되는 수동 휠체어 사용자 관점에서 평가하여 개선 방안을 제안하고 접근성 실 태를 시각적으로 확인할 수 있도록 돕는 접근성맵 제작하는 것을 목적으로 진행되었다. C대학교 인근 4개 동의 115개 커피숍을 대상으로 2024년 3월부터 5월까지 자체 제작한 체크리스트를 이용하여 현장 조사를 실시하였으며, 그 결과를 바탕으로 각 동별 커피숍 접근성맵을 제작하였다. 주요 결과와 적용점 은 다음과 같다. 첫째, 113개 진입형 및 혼합형 매장 중 수동휠체어 사용자의 자력진입과 내부 자력주행 및 사용이 모두 가능한 매장은 15.0%에 불과한 반면 수동휠체어 사용자의 자력진입이 불가능하거나 자력 내부 주행 및 사용이 불가능한 매장은 75.2%로 나타났다. 둘째, 비진입형 및 혼합형 커피숍 11개소 의 경우 수동휠체어 사용자의 자력 주문 및 대기가 가능한 매장은 단 한 개소도 나타나지 않았으며, 수동 휠체어 사용자의 주문과 대기가 불가능한 경우가 54.5%였다. 셋째, 충족률이 저조한 항목 중 가장 빈번 한 항목은 계산대나 키오스크 등의 무릎공간 확보였다.

무형문화재 분야는 AI 스마트 음성 대화 기술 활용에 중요한 분야 중 하나이다. AI 스마트 음성 대화 기술은 무형문화재의 계승과 보호에 기 술 지원을 제공하며 무형문화재의 보급과 촉진을 위한 새로운 방법을 제 공한다. 본 연구는 통합기술수용모형2(UTAUT2)와 기술준비도(TRI) 모형 을 기반으로 의인성 인지, 관계성 인지 변수를 도입하여 무형문화재 앱 AI 스마트 음성 대화 이용자 사용에 영향을 미치는 행동의 요인 탐색을 목적으로 한다. 이를 통해 무형문화재의 보급, 전시를 위한 이론적 근거 와 실천적 지침을 제공한다. 본 연구는 무형문화재 AI 스마트 음성 대화 앱을 사용하는 이용자의 행동에 영향을 미치는 요인을 정량적 데이터 분 석 방법으로 탐색한다. 연구 결과에 따르면 높은 노력 기대, 성과 기대, 촉진 조건, 사회적 영향, 쾌락적 동기, 혁신성, 낙관성 및 관계성 인지가 이용자의 사용 의도에 유의한 정(+)의 영향을 미친다. 궁극적으로 이용자 의 사용 행동에 영향을 미칠 수 있음을 증명한다. 반면 높은 불편감, 불 안감, 의인성 인지는 이용자의 사용 의도에 유의한 부(-)의 영향을 미치 고 이용자의 사용 행동을 자극하는 데 도움이 되지 않음을 증명한다. 또 한, 가격 가치는 사용 의도와 사용 행동에 유의한 영향을 미치지 않는다.

In this study, based on previous research on personal broadcasting, we indirectly measured content quality, YouTuber attributes, user satisfaction, and behavioral intention, which are latent variables that cannot be directly measured, as measurement variables, and then measured theoretically between the latent variables. In order to analyze the causal relationship, we used a structural equation model to determine to what extent the content quality of the YouTube mukbang channel and the YouTuber's attributes influence behavioral intentions such as purchase, recommendation, and continued use according to viewers' satisfaction with use. We intend to analyze and verify the relationship between related variables. The research results are as follows. First, the value, relevance, timeliness, completeness, and data quantity of content quality were found to have no significant impact on user satisfaction. Second, the trustworthiness, expertise, attractiveness, and intimacy of YouTuber attributes were found to have a significant impact on user satisfaction, but the similarity of YouTuber attributes did not have a significant impact on usage. Third, user satisfaction was found to have a significant impact on behavioral intentions and purchase intentions. However, user satisfaction was not found to have a direct significant impact on recommendation intentions or continued usage intentions.

This study examines options to revitalize a B2B textile trading platform, exploring user satisfaction and perceptions of the importance of several website features. Between June 8 and June 21, 2023, fashion studies majors and domestic fashion brand product planners were asked to use the website of an open B2B textile platform for 30 minutes and then evaluate its features by responding to a survey. The final sample for analysis wad comprised of 150 questionnaires. To analyze the key textile website features, a paired t-test, Importance-Performance Analysis (IPA), and multiple regression analysis were utilized. The analysis classified the key textile website features related to user importance and satisfaction into the following categories: convenience, appearance, product information, and uniqueness. An analysis investigation of the differences in importance and satisfaction for each website evaluation attribute found significant differences in 12 attributes. The IPA analysis revealed that attributes such as product reliability, quality, a convenient search function, and convenient page movement are highly important to users and garner high user satisfaction; these findings demonstrate the importance of maintaining these elements. Images on the main screen, the latest trend information, and product prominence attributes also garner high importance ratings, but result in low user satisfaction, which signifies extensive revision is required. Finally, user evaluation of the convenience, appearance, and product information of the website was found to affect user recommendation intention.

본 연구의 목적은 CAC(Cognition-Affect-Conation) 프레임을 기반으 로 박물관 AI 음성 대화 기술 이용자가 사용하는 다단계 체험 모델을 구 축하고 박물관 AI 음성 대화 기술 사용에 영향을 미치는 요인을 탐색하 고, 미래 박물관 AI 음성 대화 기술의 개발 및 최적화를 위한 이론적 근 거와 실제 지침을 제공하는 것이다. 이러한 연구목적을 달성하기 위해 본 연구는 CAC 프레임을 기반으로 의인성 인지, 관계성 인지, 오락성 인지, 서비스 품질 인지, 비용 인지, 이용자 감정, 이용자의 사용 의도 등의 측면에서 이론적 모델을 구축한다. 정량적 데이터 분석 방법을 통 해 박물관 AI 음성 대화 기술의 이용자 사용 의도 생성 동기를 분석한 다. 연구 결과에 따르면 높은 관계성 인지, 오락성 인지, 서비스 품질 인 지는 박물관 AI 음성 대화 기술에 대한 이용자의 긍정적인 감정을 증가 시킬 수 있고, 긍정적인 감정은 박물관 AI 음성 대화 기술에 대한 이용 자의 사용 의도를 높일 수 있다. 반면, 의인성 인지와 비용 인지가 높으 면은 박물관 AI 음성 대화 기술에 대한 이용자의 부정적인 감정이 발생 하여 이용자의 사용 의도를 높이는 데 부정적인 연향이 있음을 도출했 다.

최근 기술이 발전함에 따라 다양한VR (Virtual Reality) 및AR (Augmented Reality) 장치들이 등장하고 있다. 이 러한 장치들의 대부분의 콘텐츠는 사용자 상호작용을 위해 컨트롤러에 의존하고 있으나 컨트롤러는 휴대하 기 어렵고 분실하기 쉽다는 단점이 있다. 또한, 컨트롤러를 통한 사용자 인터페이스는 장치에 익숙하지 않은 사용자들이 불편함을 느낄 수 있고 새로 인터페이스를 배워야 하는 한계가 있다. 이러한 문제를 해결하기 위 해Oculus Quest는 핸드 트래킹 기술을 도입하여 사용자가 자연스러운 손 제스처를 인터페이스로 사용할 수 있게 하였다. 그러나 핸드 트래킹을 활용하는 방법은 그 어려움 때문에 아직 널리 연구되지 않았고 아직 활 용되지 못하고 있다. 이에 VR 콘텐츠와 상호작용하는 데 손을 사용하는 방법을 탐구하고, 그것을 이용하여 콘텐츠를 만드는 방법을 설명한다

해양수산부는 2016년부터 2020년까지 국제사회의 이내비게이션 도입에 선제적으로 대응하고 어선 등 소형선박의 해사안전 증 진을 위해 “초고속 해상무선통신망(LTE-M)” 구축을 포함한 한국형 이내비게이션 구축사업을 추진하였으나, 초고속 해상무선통신망의 활용 관점에서 특정 목적에 한정하는 등의 한계점이 식별되었다. 이에 따라 통신망의 활용성 증대를 위해 사용자를 대상으로 설문 조사 및 인터뷰를 수행한 결과, 망 활용의 범위 확대, 망 활용 대상 확장, 망 활용 방식 다각화, 그리고 규제 완화 측면에서의 법·제도적 개선 사항을 확인할 수 있었다. 본 연구에서 도출한 사용자 요구사항을 기반으로 하여 향후 관련 법제 정비방안에 기여할 수 있을 것으로 기 대한다.

PURPOSES : Basic research to calculate the appropriate gap acceptance for autonomous vehicles at merging section. Research on whether users prefer short or long gap acceptance. METHODS : Using a driving simulator, experience autonomous driving with different gap acceptance in different weather condition, and analyze which gap acceptance is preferred using survey and biometric data. RESULTS : Regardless of the weather condition, long gap acceptance was preferred, and difference was especially clear in rainy or foggy situation. CONCLUSIONS : It was analyzed that users prefer long gap acceptance over short gap acceptance, and that they feel less frustrated due to long gap acceptance when weather condition is poor.

PURPOSES : Evaluation of the effectiveness of changing the form of yellow carpet installation as a way to reduce child pedestrian traffic accidents. METHODS : Through expert opinion, two improvement plans for yellow carpet installation (oblique type, extended type) were derived. The improvement paln was built in virtual reality, and a virtual driving experiment was performed using a driving simulator and eye-trakcing device. The improvement effects of the two alternatives were evaluated by analyzing eye-tracking data and driving behavior. RESULTS : In the case of the oblique type, it was analyzed that it was effective in improving the total gaze time and first gaze position compared to the normal type. In the case of the extended type, it was analyzed that the workload during operation can be reduced. However, neither of them had a significant effect on driving behavior. CONCLUSIONS : Although the change in the yellow carpet installation type did not affect the driver's driving behavior, it had advantages in terms of visual behavior and workload while driving, so it can be considered as an alternative among measures to improve traffic accidents involving children and pedestrians.

In this study, complaints from visitors in the science museum satisfaction survey were categorized into four primary factors and ten sub-factors. This categorization aimed to provide recommendations for enhancing the Geochang Wolseong Space Creative Science Museum as an illustrative case study. Futhermore, the study examimed the relative importance of each factor by surveying 90 science museum visitors. The following results are obtained. Firstly, it was evident that the Geochang Wolseong Space Creative Science Museum requires urgent improvement. Certainly, in the primary factors, issues related to the utilization environment emerged as the most significant sources of dissatisfaction, while in the sub-factors, the adequacy of fees was identified as the most prominent concern. Secondly, through the result of the IPA (Importance-Performance Analysis) of the complaint factors, four primary issues were identified as top priorities for consideration: fare adequacy, lack of convenient facilities, in sufficient publicity, and a lack of distinctiveness compared to similar facilities. Lastly, when analyzing the relationship between complaints and overall satisfaction, factors related to human service, environment, and educational content had negative effects. In contrast, factors associated with science museum operation exhibited a different trend, suggestinga structural impact relationship with the overall impact of complaints.

In this study, a smart bench was developed and researched smart benches that can contribute to user convenience and satisfaction by installing them in parks, bus stops, and tourist attractions in line with the rapidly changing construction of smart cities. The smart bench is automatically operated by the control system according to the external temperature and provides additional functions such as charging, lighting, and advertising to improve general bench functions as well as heating in winter and cooling in summer, making it suitable for smart urbanization. The developed smart bench is designed to be strong enough to withstand loads of about 2,500 N. It minimizes the visible parts such as assembled bolts and 220V power supply wires, It can also give aesthetic effects. The development was carried out with the aim of waterproofing and dustproofing of IP44 grade in accordance with the climate of Republic of Korea, which has four seasons, and it is advantageous for long-term use because the paint was selected for the weather ability (discoloration) grade 3 or higher. If smart bench is commercialized, it is believed that various options can be provided to the smart bench market, where buyers had few product options, as the parts were developed in an assembled type so that all functions can be responded in an optional form according to the installation environment and the buyer's budget.

Humans turn to other humans for decision making. They don’t know how the algorithm operates but they understand how a human mind operates. Ergo, they would be more likely to follow a human’s recommendation.

Even though Mod is a cutting-edge business model that benefits a variety of multi-sided market participants, empirical research on Mod, the value co-creation activity of game users and game developers, is hard to come by. This study intends to look into how the combination of the Mod and the IP from the prior game affects user engagement. An experiment was carried out with Korean university students to examine the hypotheses. User engagement was found to increase with the use of the Mod and the IP from the previous games. On the other side, it was discovered that the impact of mod games on user engagement did not differ significantly from non-mod games when the previous game's IP was absent. The study's findings help establish the framework for afterwards empirical research by showing the effect of mod on user engagement.

Social media have emerged as one of the most important tools for firms to engage customers (e.g., Chandrasekaran et al., 2022; Cheng & Edwards, 2015; Lee et al., 2018; Wedel & Kannan, 2016). Within the tourism industry, scholars have investigated the role of social media communication in various contexts, such as online travel information search (Xiang & Gretzel, 2010), sharing travel experiences (So et al., 2018; Wang et al., 2022) and establishing positive customer relationships (Jamshidi et al., 2021). Insights into which social media content makes for generating positive engagement are, however, still largely based on marketers’ intuitions or focusing on message factors of social media posts such as message appeals (e.g., Wang & Lehto, 2020). It also often neglects the importance of the visual component of social media posts, and only a few research have investigated the effects of the image in social media on the travel industry (e.g., Fusté-Forné, 2022). The objective of this research is, therefore, to understand how textual features and image features generate user engagement in social media utilizing cutting-edge transfer learning techniques and to propose how these features should be customized to maximize user engagement for online travel shopping companies. We collect and analyze more than 10,000 Instagram posts from three online travel shopping companies, including Expedia, Priceline, and Kayak. The results from transfer learning algorithms utilizing 24 features, such as the number of people in the image, emotions expressed in the people in the image, hue, and RGB value, successfully predict the level of engagement measured by the number of likes and comments.

Voice assistance (VA) has been widely adopted in the tourism and hospitality industry to interact and communicate with tourists and provide useful travel recommendations. Although more companies in tourism have adopted environmental sustainability practices and tourists have increased their sustainability awareness, lack of research has been conducted to investigate the effectiveness of VA in promoting sustainable consumption of tourism products or services. This study proposes that customising environmental sustainability messages for tourists with different cultural orientations and VA use purposes can enhance their engagement with the VA, which can affect their consumption decision. The results from a scenario-based experiment demonstrate that tourists with interdependent/independent cultural orientation have higher engagement with the environmental sustainability messages communicated by the VA when they are with a non-transactional/transactional purpose. Implications for tourism marketing strategies are discussed.

This research presents a conceptual framework for a comprehensive understanding of the causes of user migration from social media networking sites. The results of our survey show that users’ intentions to switch social media platforms are influenced by user satisfaction, alternative attractiveness, peer influence, and perceived switching costs.