关键词: 人机共融, 用户需求, 交互行为, 人机信任, 人机责任

Abstract: Developing smart elderly care at home is an important measure to address the challenges of rapid population aging. It can not only alleviate the pressure of social elderly care but also meet the increasingly diverse needs of the elderly. However, the current smart elderly care system at home still faces several problems such as low acceptance by the elderly, low naturalness of interaction, low trust, and unclear allocation of responsibilities. Therefore, this study aims to construct a theoretical framework for the integration relationship between elderly users and intelligent systems from multiple levels, including user needs, human-computer interaction, human-computer trust, and human-computer responsibility, and to deeply explore the influence mechanism of users, intelligent systems, and situational factors on the human-system integration relationship. This study first establishes the user persona, demand models, and interaction behavior models, optimizes the design of intelligent system interaction terminals and social features, and enhances the acceptance, interaction naturalness, and efficiency of elderly users; This study further explores the development rule of human-machine dynamic trust between elderly users and intelligent systems, analyzes the comprehensive impact mechanism of users, systems, and contexts on dynamic trust, promotes sustained usage behavior of elderly users and stable human-machine relationships; Finally, in the face of the potential positive and negative consequences of applying intelligent systems in home environments, this study clarifies the impact mechanisms of different types of factors on human-machine responsibility attribution, promoting better human-system collaboration. Conducting this study helps to promote the development of human-system integration theory, providing a theoretical basis and practical contribution to the elderly-oriented design and upgrading of intelligent systems.

Key words: human-system integration, user needs, interaction behavior, human-machine trust, human-machine responsibility