A human-computer interaction design solution for women's home nodule detection devices

Abstract

Women exhibit a higher susceptibility to nodules compared to men, attributed to factors such as genetics, physiology, and the dual pressures of managing both home and work. A nodule, defined as a diseased mass in human tissue or organs with a diameter of less than 3 cm, necessitates thorough follow-up testing for early detection and cancer treatment. Notably, breast and thyroid nodules, predominantly located in superficial tissues, can be initially screened through palpation. Breast and thyroid cancers, the most prevalent solid malignant tumors among women, continue to show an increasing incidence, posing a significant threat to women's physical and mental well-being. Despite this, recent studies indicate that only a minority of women can afford the time and financial resources for regular medical checkups, primarily due to economic pressures and the apprehension and fear associated with healthcare .Experts recommend regular monthly self-examinations for women as a proactive measure to reduce the risk of cancer, improve treatment outcomes, and enhance personal health awareness. Commonly employed methods to assist women in refining their self-examination skills and overall experience include graphic awareness education, simulators, and mobile apps. However, due to the often small or deeply hidden nature of nodules, tactile detection by touch can be challenging for the average individual. Some experts are exploring detection technologies and home-based devices, such as wearable devices integrated with bras [9]. Yet, as the home health detection devices, a human-centered approach is essential, necessitating careful consideration of human-computer interaction design to optimize the user experience.Following user research and analysis, this study has developed a compact home nodule detection device to facilitate early detection. In consideration of ergonomics and users' familiarity with smart products, the self-test device is designed to be compact and easy to operate, catering to non-professional healthcare users in a home setting. Paired with a mobile app, the device offers testing guidance, feedback on results, and additional features such as symptom recording, reminders, and health education. This comprehensive approach enhances the device's functionality and user-friendliness. In comparison to previous auxiliary detection methods, this device provides a more comfortable human-computer interaction experience, significantly boosting users' willingness and confidence in self-testing. Overall, this solution addresses current challenges in nodule self-inspection,encouraging people to pay more attention to their health status.Main research contents:1.Establishing Design Foundations: conduct competitive analysis and user research to define the product design framework.2.Integrating Human Factors: utilize human factors engineering analysis to shape the product's appearance and style. Develop a design prototype based on these considerations.3.User Review: engage users in the evaluation of the design prototype to validate design feasibility.Main research methods:1.Competitive Product Analysis: conduct a thorough analysis of existing nodule detection products in the market, identifying strengths and weaknesses. Summarize findings to guide the design process of this study.2.Semi-Structured Interviews: engage in semi-structured interviews with users to explore the timing, specific scenarios, and preferences related to self-tests. Understand user demands regarding product appearance, functions, and interactions.3.Usability Testing: implement usability testing by inviting users to assess the accessibility, comfort, reliability, functional integrity, and overall satisfaction of the product. Use feedback to refine and enhance the product design in the future.