KANO Model-Based AI Emotional Recognition Interactive System UX Study for Elderly Living Alone

With the aging population, the living alone have become a target of social concern. Overall, they are experiencing problems such as loneliness, isolation, and poor quality of life. AI emotion recognition technology analyzes data such as facial expressions, voice, movements, and physiological signals to recognize the emotional state of users in real time, and proposes a solution to address the emotional needs. The results show that existing AI systems are insufficient to meet the emotional needs of users in UX design. This study collected and coded the emotional needs, and conducted a survey. Based on the KANO model, user needs were classified and summarized, and the Better-Worse coefficient was calculated to prioritize user needs, which has implications for design strategies for the elderly. Through this study, we identified the specific needs of elderly people living alone for AI emotional interaction, provided strategies for optimizing the UX design of AI emotion recognition technology, and laid the foundation for research on improving AI systems to enhance emotional well-being.