为老年人设计更符合其自主需求的智能助手交互方式
Autonomy for Older Adult-Agent Interaction
- 从决策、目标、控制、责任四维度定义老年人自主性
- 提出需关注集体场景中的伦理影响与任务层面的自主实现
- 适合人机交互、老年科技与智能养老领域研究者参考
随着全球人口老龄化，人工智能驱动的智能代理有望成为支持老年人照护的工具。以往研究通过识别任务流程中的关键交互阶段并定义代理角色来探索代理自主性，但确保代理与老年人自主偏好一致仍是关键挑战。本文基于跨学科的自主性概念，考察老年人自主性的四个核心维度：决策自主性、目标导向自主性、控制自主性和社会责任自主性。据此提出三个研究方向：（1）关注集体环境中代理使用的伦理与社会影响；（2）从任务视角实现代理自主性的操作化；（3）开发自主性评估方法。
原文摘要 · Abstract (English)
As the global population ages, artificial intelligence (AI)-powered agents have emerged as potential tools to support older adults' caregiving. Prior research has explored agent autonomy by identifying key interaction stages in task processes and defining the agent's role at each stage. However, ensuring that agents align with older adults' autonomy preferences remains a critical challenge. Drawing on interdisciplinary conceptualizations of autonomy, this paper examines four key dimensions of autonomy for older adults: decision-making autonomy, goal-oriented autonomy, control autonomy, and social responsibility autonomy. This paper then proposes the following research directions: (1) Addressing social responsibility autonomy, which concerns the ethical and social implications of agent use in communal settings; (2) Operationalizing agent autonomy from the task perspective; and (3) Developing autonomy measures.
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