The Chinese version of the system usability scale (SUS) was re-translated in this study by the addition of an interview process plus the modification and selection of strict translation results. The revised translation is in close accordance with the linguistic usage of Chinese native speakers without any ambiguity. The revised Chinese version of the psychometric measurement is shown to be reliable, effective, and sensitive. We also conducted a comparative study within one group to confirm that the reliability of the cross-cultural adaptation version is higher than that of the original version. The questionnaire provides a tested tool for Chinese language users to help practitioners complete usability assessments.

Objectives: The COVID-19 pandemic significantly impacted the mental health of college students. This study aimed to investigate the buffering effect of arts engagement on anxiety and resilience in college students during the COVID-19 pandemic.Study design: A cross-sectional study.Methods: The data were collected via an online survey during a wave of SARS-CoV-2 infections in Shanghai (March 15 to April 15, 2022). In total, 2,453 college students throughout China reported general anxiety symptom levels (according to the GAD-7), resilience (according to the Connor-Davidson Resilience Scale), frequency of receptive arts engagement in the previous year, exposure to risk situations, and behavioral changes due to the pandemic.Results: During the current stage of the pandemic, 43.7% of college students suffered from varying degrees of anxiety, and 2.6% showed severe anxiety. Gender and learning stage were not associated with anxiety. Hierarchical regression analysis showed that the decision to return to academic institution, the degree of exposure to COVID-19, and the frequency of accepting art participation and resilience could significantly predict the anxiety level of college students. Gender, study stage, behavioral changes arising from COVID-19, and exposure to COVID-19 significantly predict the resilience level of college students. There was an association between high frequency music activities, reading activities and low anxiety level (p < 0.001). There was an association between high frequency digital art, music activities, reading and high resilience (p < 0.01).Conclusions: Arts engagement appears to help students cope with mental health problems and those at risk. Policymakers should encourage college students to participate in art activities, especially in the context of social distancing.

(1) Background: Metro is an important part of urban transportation, carrying huge passenger volume every day. With improvements in people’s living standards, passengers’ demand for a comfortable Metro experience is increasing. In the context of urban development, maintaining a good thermal comfort level of Metro cars is not only conducive to providing a comfortable and healthy environment for passengers, but also has great significance for reducing energy consumption and sustainable urban transportation development. This study provides empirical evidence for Metro design and operation strategies, aiming at creating a safer and more comfortable passenger experience. (2) Methods: By combining passengers’ comfort perception (cognitive value of thermal environment) and rideability perception (confidence in thermal comfort control), this study established a correlation model between thermal comfort and passenger unsafe behavior, namely the integration of SOR (Stimulus-Organism-Response) and TAM (Technology Acceptance Model). This study used methods such as field surveys, structural equation modeling, and reliability and validity analyses to investigate the impact of Metro thermal comfort on passenger behavior safety. (3) Results: This study found that the Metro thermal environment, including temperature, humidity, and airflow velocity, significantly affects passengers’ comfort perception and behavior choices. (4) Conclusions: Passengers may exhibit avoidance behavior in uncomfortable thermal environments, leading to uneven distribution of people in the train car and increasing safety risks. Improving Metro thermal environments can effectively enhance passengers’ perceived comfort and reduce unsafe behavior motivation, which is of great significance for safe Metro operations.

This study aims to understand the intentions of music enthusiasts in using generative artificial intelligence (GenAI) for music composition and to elucidate the factors influencing those intentions. A covariance-based structural equation modeling approach is applied to construct a technology acceptance model (TAM). A total of 429 valid questionnaire responses were analyzed to explore music enthusiasts’ acceptance mechanisms regarding GenAI tools. The sample encompasses diverse age groups, educational backgrounds, and experience levels, thus ensuring the broad applicability of the findings. The results show that relationships within the original TAM structure remain robust. Specifically, perceived AI risk negatively impacts intention to use (IU) and perceived ease of use (PEOU); however, it does not correlate significantly with perceived usefulness (PU). Perceived trust positively influences PEOU and PU but does not directly affect IU. Content quality is positively correlated with PEOU, PU, and IU. Social influence is correlated only with PU and does not affect PEOU or IU. Perceived enjoyment enhances both PEOU and PU but has no effect on IU. Demographic analysis reveals no differences in GenAI tool evaluations among music enthusiasts in terms of gender, age, or education level. Overall, this report provides essential theoretical and practical insights for applying GenAI in music creation by integrating traditional and novel factors.