The present study examined the impact on island tourism development during the COVID-19 epidemic environment and infection risk by using Penghu as a case study. Using a mixed re-search methodology, 534 questionnaires were collected and analyzed using IBM SPSS Statistics 22.0 for Windows statistical software with statistical tests and t-tests. The views of scholars, experts, residents, and tourists on the questionnaire results were then compiled and finally examined by multivariate validation analysis. The results showed that different stakeholders maintained different perspectives on a number of economic, social, and environmental issues in the epidemic environment with risks of infection. Residents considered that the preservation of marine culture and the lack of resting and parking facilities for tourists are the issues that need to be improved in the development of Penghu tourism. Visitors believe that improving littering, vessel mooring space, pollution from heavy oil discharges, landscape and historic site protection, surface litter and pollution in the harbor, marine habitat, heavy oil spills, tourist litter, and threats from invasive species will help attract tourists to visit and spend money.

In this study, we examined the keelboat industry on Penghu Island in Taiwan as an example to discuss sustainable development strategies for the marine environment and villages. First, three experts were consulted to compile questionnaires. A snowball sampling method was used to collect 278 samples of residents and tourists living in the coastal area. Opinions were collected from 8 residents, crew members, tourists, and scholars. The data were finally summarized and compared by triangulation method and then examined. We found that introducing the keelboat industry could preserve maritime culture, increase local popularity and leisure options for people, create business opportunities, and improve the economy. It could also lead to a loss of coastal architectural features, increased the amount of trash in the community, around the harbor, and on the sea, no improvement in public facilities and medical care, and decreased the willingness of young people to return to their hometowns. Encouraging men to work in tourism-related industries, assisting in balancing job opportunities, strengthening villagers’ communication, improving tourists’ environmental literacy, adding onboard guides, improving women’s professional knowledge of marine ecology and working opportunities for boat maintenance, as well as actively participating in community development planning, can improve the current situation and achieve the goal of sustainable development.

The purpose of the study was to examine the leisure constraints and job satisfaction of middle-aged and elderly health care workers. The study employed a mixed research method, utilizing SPSS 22.0 and AMOS 23.0 statistical software to analyze 260 questionnaires using basic statistical tests, t-tests, ANOVA tests, and structural equation models, and then interviewed medical and public health workers and experts in the field, and the results were analyzed using multivariate verification analysis. The results showed that there was a significant low correlation between leisure constraints and job satisfaction among middle-aged and elderly health care workers (p < 0.01); interpersonal constraints and external job satisfaction factors were the main influencing factors; improving promotion opportunities and receiving appreciation increased job satisfaction; poor working environment and facilities, as well as the lack of achievement, were the main factors that reduced satisfaction; health factors, a lack of family support, no exercise partner, and a lack of extra budget are the key to leisure constraints. If the organization can provide nearby sports facilities for middle and high-age medical workers, improve welfare, and increase willingness to participate in leisure activities, physical and mental health can be improved. Finally, interpersonal interaction in leisure obstacles is the main reason for improving job satisfaction.

Today, many maritime nations have been promoting boat sports proactively, including sailing races. As sailing races are large-scale regattas that require massive workforces to monitor the game fairly; however, with limited match budgets and labors, Internet of Things (IoT) technology supports monitoring games has become a trend. This article proposes a robot umpire system in sailing races based on Artificial Intelligence (AI) techniques, using drones and AIoT technology to monitor sailing matches. When a large number of sailboats are in a match, and each sail along different routes, drones can monitor the entire game simultaneously. The features of this proposed approach are (1) The system recognizes images by Faster R-CNN, judging whether a sailboat uses a motor to accelerate; (2) The system detects conditions by edge computing; when cheating behaviors happen, it can notify the event holder immediately; (3) Advanced drone route plans can avoid collision incidents; (4) Improve the system recognition by federated learning. This study has implemented an experiment with real drones and installed IoT equipment on the drones for taking videos and recognizing. The experimental result has shown that the proposed approach is feasible and benefits the match's fairness. Additionally, umpires can review the violation details from the videos taken by the drones, supporting evidence for judging.

Many countries actively promote the benefits of sports; in particular, water sports are popular among the younger generation. However, despite the mature development of equipment in diving, it requires relevant training to avoid decompression sickness. Sometimes when divers encounter emergencies and they may fail to alert the coach or other companions for rescues. Currently, some divers wear emergency equipment when conducting the exercise; yet, the cost is relatively high, and the operation is complicated that people tend to forget the process when facing emergencies. This article aims to develop a wearable device that has a safety alarm function based on the technique of machine learning. The features of the suggested device are as follows: (1) cost‐effective detectors for monitoring divers' conditions; (2) a combination of an Automatic Identification System (AIS) with a Global Positioning System (GPS) to send a safety alarm with the location of the diver; (3) utilize Bluetooth communication to detect if a diver left the safety range set by the coach; (4) the machine learning technique judges the health status of the diver; (5) the wearable device connects with swim goggles to deliver danger alarms, which enables divers to notice dangerous situations from the lights on the goggles. The approach suggested in this article primarily utilizes wearable devices to ensure divers' safety. The key feature of this device can prevent divers from sweeping away by currents or swimming into risky areas; meanwhile, the device can detect the risk of decompression sickness. The research executed an experiment to verify the design, and the results have proven the feasibility of the study. Additionally, with the cost‐effective detectors installed on the device, the presented equipment has the potential to make it universal and increase the safety of divers.

The object of the study is to use the technology acceptance model to explore the willingness and pattern of usage of the consumers. 205 valid questionnaires were collected by using the Google online survey platform. Using IBM SPSS and AMOS Statistics 20.0 software, first background information was analyzed, then CFA was used to analyze the relationship between variables, and SEM was used to verify the rationality of the measurement model. The result discovered that there is a positive effect on perceived usefulness by perceived utility of usage by the users. There is a positive effect on usage intention by perceived utility. There is a positive effect on perceived curiosity by perceived utility. There is a positive effect on usage intention by perceived usefulness, and there is a positive effect on usage willingness by social support for the wearable device users. However, there is no positive effect on usage willingness by perceived curiosity. Conclusion. If the industry can provide consumers with a good experience, it will help enhance consumer attitudes, increase consumer willingness, and continue to enhance consumer curiosity. Simply satisfying consumers' curiosity cannot increase consumer willingness, but social support will affect consumers' willingness to use.