Research on Older Adults' Interaction with E-Health Interface Based on Explainable Artificial Intelligence

• DOI: 10.48550/arxiv.2402.07915
• Publication Date: 2024-02-01
• Authors: Xueting Huang; Zhibo Zhang; Fusen Guo; Xianghao Wang; Kun Chi; Kexin Wu
• Keywords: Interface (matter)

This paper proposed a comprehensive mixed-methods framework with varied samples of older adults, including user experience, usability assessments, and in-depth interviews the integration Explainable Artificial Intelligence (XAI) methods. The experience adults' interaction Ehealth interface is collected through transformed into operatable databases whereas XAI methods are utilized to explain interview results in this research work. show that XAI-infused e-health interfaces could play an important role bridging age-related digital divide by investigating elders' preferences when interacting E-health interfaces. Furthermore, study identifies design factors, such as intuitive visualization straightforward explanations, critical for creating efficient Human Computer Interaction (HCI) tools among users. emphasizes revolutionary potential users, emphasizing importance transparency understandability HCI-driven healthcare solutions. study's findings have far-reaching implications development user-centric technologies, intending increase overall well-being adults.