Advances in Psychological Science ›› 2025, Vol. 33 ›› Issue (2): 223-235.doi: 10.3724/SP.J.1042.2025.0223
• Conceptual Framework • Previous Articles Next Articles
HUANG Hanjing1(), RAU Pei-Luen Patrick2
Received:
2024-05-21
Online:
2025-02-15
Published:
2024-12-06
Contact:
HUANG Hanjing
E-mail:hhj@fzu.edu.cn
CLC Number:
HUANG Hanjing, RAU Pei-Luen Patrick. Exploration of multi-level human-machine integration theory between elderly users and intelligent systems[J]. Advances in Psychological Science, 2025, 33(2): 223-235.
研究1.1: 老年用户需求识别与用户画像构建 | 研究1.2: 老年用户与智能系统交互效能提升研究 |
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•需求类型:科学决策、健康照护、社交陪伴、娱乐等 •刻画:用户画像构建、异质参与者特征、年龄效应 •输出:用户画像、需求模型 | •基础:信息加工模型、“媒体等同”理论、“计算机为社会行动者”范式、心智模型、人-任务-技术匹配框架等 •考虑因素:用户特征、智能系统属性、情境特征及交互作用 •输出:交互效能提升方案及系统优化方案 |
研究1.1: 老年用户需求识别与用户画像构建 | 研究1.2: 老年用户与智能系统交互效能提升研究 |
---|---|
•需求类型:科学决策、健康照护、社交陪伴、娱乐等 •刻画:用户画像构建、异质参与者特征、年龄效应 •输出:用户画像、需求模型 | •基础:信息加工模型、“媒体等同”理论、“计算机为社会行动者”范式、心智模型、人-任务-技术匹配框架等 •考虑因素:用户特征、智能系统属性、情境特征及交互作用 •输出:交互效能提升方案及系统优化方案 |
研究2.1: 动态信任测量方法研究 | 研究2.2: 老年用户对智能系统的动态信任建模研究 | 研究2.3: 关键要素对动态信任的影响机理研究 |
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•主观报告法:对智能系统能力、意图等方面的动态感知 •行为测量法:相应的信任行为表现 | •初次交互时的信任动态构建过程 •智能系统失效时, 动态信任的修复过程 •输出:信任曲线、动态信任模型 | •考虑因素:用户特征、智能系统属性、情境特征及交互项 •信任阶段:初始信任建立、信任修复 •输出:人机动态信任校准机制、稳定信任关系构建与优化 |
研究2.1: 动态信任测量方法研究 | 研究2.2: 老年用户对智能系统的动态信任建模研究 | 研究2.3: 关键要素对动态信任的影响机理研究 |
---|---|---|
•主观报告法:对智能系统能力、意图等方面的动态感知 •行为测量法:相应的信任行为表现 | •初次交互时的信任动态构建过程 •智能系统失效时, 动态信任的修复过程 •输出:信任曲线、动态信任模型 | •考虑因素:用户特征、智能系统属性、情境特征及交互项 •信任阶段:初始信任建立、信任修复 •输出:人机动态信任校准机制、稳定信任关系构建与优化 |
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