Evaluating User Feedback in Wearable Panic Detection Technology Development

نویسندگان

  • Yasmin Mehrabi Department of Public Health, Art University of Tehran نویسنده

کلمات کلیدی:

Wearable Technology, Panic Detection, User Feedback, Human-Computer Interaction, Sensor Data Analysis, Usability Testing, Mental Health Monitoring

چکیده

Wearable technology has emerged as a pivotal tool in health monitoring, particularly in detecting and managing panic-related symptoms. This study investigates the integration of user feedback in the design and development of wearable devices aimed at identifying and mitigating panic attacks. By systematically evaluating user interactions, preferences, and experiences, this research seeks to illuminate the critical aspects that enhance device effectiveness and user compliance.

 

A mixed-method approach was employed, combining quantitative surveys and qualitative interviews to gather comprehensive user feedback. This dual strategy enabled the identification of key themes related to usability, comfort, accuracy, and real-time feedback, which are essential for optimizing the device's functionality. The study further explores the role of personalized data analytics in refining the algorithms used for panic detection, highlighting the necessity of adaptive features that cater to individual variability in physiological and psychological responses.

 

The findings underscore the importance of ergonomic design and intuitive interfaces in increasing user engagement and satisfaction. Additionally, the incorporation of continuous feedback mechanisms offers potential improvements in the device's predictive capabilities. This research reveals that user-centric design not only enhances the technological efficacy of panic detection wearables but also fosters a stronger user-device relationship, which is crucial for long-term adoption.

 

In conclusion, this study emphasizes the significance of integrating user feedback into the developmental cycle of wearable panic detection technologies. By aligning technology design with user expectations and needs, developers can create more effective and user-friendly devices. These insights are invaluable for future innovations in the field, ultimately contributing to improved mental health outcomes and quality of life for individuals prone to panic disorders.

چاپ شده

2026-03-31

شماره

نوع مقاله

Articles

ارجاع به مقاله

Evaluating User Feedback in Wearable Panic Detection Technology Development. (2026). International Journal of Advanced Human Computer Interaction, 1(1). https://www.ijahci.com/index.php/ijahci/article/view/43