Harmonizing Emotions: An AI-Driven Sound Therapy System Design for Enhancing Mental Health of Older Adults

Research in the field of psychological health care has confirmed that chronic homesickness can exacerbate emotional problems. However, there is a lack of diverse products in the design field that can effectively address the issue of alleviating homesickness. This study explores how interaction design can mitigate homesickness-related anxiety while delivering a good user experience, from an application-driven perspective. An inclusive design approach was adopted. Firstly, an online survey was conducted in China through social media platforms (WeChat and websites), and 323 responses were analyzed to examine Chinese preferences for sounds that alleviate homesickness and the influence of various characteristics on the perception of hometown sounds. Secondly, personas were created to capture user needs. Based on regional differences, local sound characteristics, and adaptation to various audience backgrounds, this study examined the effects of these sounds on alleviating homesickness across different scenarios and proposed a sound therapy design model. The practical application of this model was demonstrated through the HomeSeek app, which provides personalized therapeutic experiences. Finally, an application usability test was conducted. The findings indicated that 92.5% of participants were satisfied with the homesickness therapy experience, demonstrating its effectiveness in alleviating homesickness and providing strong support for the research model.

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Optimization and Security Challenges in Cloud Computing within Big Data Enviro

Lin

2024

WJIMT

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As big data continues to proliferate at an unprecedented rate, cloud computing has emerged as a fundamental technology for managing, storing, and processing these vast datasets, with global data volumes projected to reach 175 zettabytes by 2025. Our study delves into the critical optimization strategies and security challenges that cloud computing systems face in big data environments. By employing advanced quantification methods, we demonstrate that cloud computing can achieve a 40% reduction in IT infrastructure costs and enhance data processing efficiency by 60%. However, these benefits are accompanied by significant security risks, including a 30% increase in data breaches due to centralized data storage and a 25% rise in data tampering incidents during transmission. To address these challenges, we propose a comprehensive framework that includes refined data screening mechanisms, capable of reducing data redundancy by up to 50%, and enhanced device security protocols to mitigate potential vulnerabilities. Additionally, we emphasize the critical role of optimizing information flow processing, which can achieve a 20% reduction in latency, thereby improving real-time data handling capabilities. Our study further advocates for the establishment of robust network security architectures, integrating cutting-edge encryption technologies and real-time threat monitoring systems, to safeguard data integrity and confidentiality in cloud environments. We conclude by outlining the imperative for ongoing research into AI-driven security enhancements and the formulation of global cybersecurity standards, essential for maintaining the resilience and efficiency of cloud computing systems in the era of big data.

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Harmonizing Emotions: An AI-Driven Sound Therapy System Design for Enhancing Mental Health of Older Adults

Cited by 13 publications

References 48 publications

Vision-Based Robotic Dance Motion Capture System

Vision-Based Robotic Dance Motion Capture System

A Study on the Sound Therapy Interaction Design to Alleviate Homesickness: The HomeSeek App among Chinese Users

Optimization and Security Challenges in Cloud Computing within Big Data Enviro

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