梳理社交机器人促健康行为改变的策略与评估方法
Designing Persuasive Social Robots for Health Behavior Change: A Systematic Review of Behavior Change Strategies and Evaluation Methods
- 分析39项研究，提炼出四类行为改变策略
- 发现当前评估多依赖短期干预与主观量表
- 为机器人健康干预设计提供可落地的参考
社交机器人在健康行为改变干预中的应用日益广泛，但指导其设计与评估的实际知识仍有限。本系统综述整合了现有人机交互研究中用于促进健康行为改变的干预策略及评估方法。通过系统数据库检索与人工筛查，共纳入39项研究。分析揭示四大类行为改变策略：教练类、咨询类、社会影响类和说服增强类。这些策略凸显了社交机器人作为行为干预工具的独特优势，并提供了实用的设计启示。同时，综述还识别了当前评估实践的关键特征，包括研究设计、实施场景、干预时长与结果测量方式，据此提出未来人机交互研究的若干方向。
原文摘要 · Abstract (English)
Social robots are increasingly applied as health behavior change interventions, yet actionable knowledge to guide their design and evaluation remains limited. This systematic review synthesizes (1) the behavior change strategies used in existing HRI studies employing social robots to promote health behavior change, and (2) the evaluation methods applied to assess behavior change outcomes. Relevant literature was identified through systematic database searches and hand searches. Analysis of 39 studies revealed four overarching categories of behavior change strategies: coaching strategies, counseling strategies, social influence strategies, and persuasion-enhancing strategies. These strategies highlight the unique affordances of social robots as behavior change interventions and offer valuable design heuristics. The review also identified key characteristics of current evaluation practices, including study designs, settings, durations, and outcome measures, on the basis of which we propose several directions for future HRI research.
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