用角色扮演和任务分析设计药房助手机器人交互。
Using role-play and Hierarchical Task Analysis for designing human-robot interaction
- 通过角色扮演模拟顾客需求，让药剂师示范机器人行为。
- 任务分层分析确保行为建模准确，支持协同设计。
- 适合研究社交机器人交互设计的学者与开发者。
我们提出在人机交互领域应更广泛使用两种方法：角色扮演与层级任务分析。通过一项持续的研究项目展示其潜力，该项目旨在开发一款服务于社区药房的机器人应用。角色扮演提供了可控且可调节的环境，以理解顾客需求，药剂师则作为机器人行为的示范者；层级任务分析确保了行为建模的准确性，并通过促进协同设计加速了开发进程。未来研究可聚焦于为社交机器人交互开发专用的任务分析方法。
原文摘要 · Abstract (English)
We present the use of two methods we believe warrant more use than they currently have in the field of human-robot interaction: role-play and Hierarchical Task Analysis. Some of its potential is showcased through our use of them in an ongoing research project which entails developing a robot application meant to assist at a community pharmacy. The two methods have provided us with several advantages. The role-playing provided a controlled and adjustable environment for understanding the customers' needs where pharmacists could act as models for the robot's behavior; and the Hierarchical Task Analysis ensured the behavior displayed was modelled correctly and aided development through facilitating co-design. Future research could focus on developing task analysis methods especially suited for social robot interaction.
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