识别自动化车辆虚拟助理的交互类型和功能:使用语音行为集群分析的探索性研究
Jediah R Clark1, David R Large2, Emily Shaw2
1Agents, Interaction and Complexity (AIC) Research Group, Electronics & Computer Science, Building 32, Room 4001, University of Southampton, Southampton, SO17 1BJ, UK.
Applied ergonomics
|October 19, 2023
概括
自动驾驶汽车 (AV) 中的虚拟助理使用不同的交互类型来安全地传输控制. 了解这些沟通风格有助于为司机设计更好的AI,确保情境意识和积极的用户体验.
科学领域:
- 人与计算机的交互
- 自动化车辆系统 自动化车辆系统
- 认知心理学 认知心理学
背景情况:
- 车载虚拟助理对于自动驾驶汽车 (AV) 的安全操作至关重要.
- 有效的沟通对于在AV中转移控制和责任至关重要.
- 之前的研究强调了在控制过渡期间需要交换情况信息的必要性.
研究的目的:
- 探索和定义在AV控制转移期间的人机通信中的"交互类型".
- 分析驾驶员和虚拟助理之间如何传递和交换情况信息.
- 为设计未来的虚拟助理提供框架,以提高驾驶员的情况意识和用户体验.
主要方法:
- 使用双控驾驶模拟器进行人驾驶互动研究.
- 专门用于控制转移场景的口头沟通.
- 使用语音行为分类编码交付对话,并执行集群分析.
主要成果:
- 确定了虚拟助理的四种交互类型 (监督员,信息桌,询问员,交谈员).
- 确定了人类驾驶员的四种交互类型 (协调者,感知者,询问者,静音接收者).
- 建立了一个框架,以驾驶员要求和虚拟助理设计为每个交互类型的特征.
结论:
- 识别的交互类型为设计 AV 虚拟助手提供了一个框架.
- 这些设计可以支持驾驶员在控制转移期间保持和重建情况意识.
- 为未来的虚拟助理设计提供了建议,考虑对话轮次和接管时间,以获得最佳的用户体验.
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