Problem
Research questions and friction points this paper is trying to address.
Proactive in-cabin agents
automated-vehicle behavior
communication policy
passenger activity
event priority
When2Talk: When Should a Proactive In-Car Agent Talk?
🤖 AI Summary
研究通过对比即时通讯和情境敏感策略，解决了自动驾驶车辆中主动代理何时应与乘客交流的问题，以减少不必要的打扰并提高沟通的适当性。
📝 Abstract
Proactive in-cabin agents can help passengers understand automated-vehicle (AV) behavior, but communicating every ride event may introduce unnecessary interruptions. We investigated how communication should adapt to event priority and passenger activity. In a mixed-methods within-subject study, 41 participants rode as passenger in a VR simulated fully-automated vehicle. We compared an event-triggered (ET) policy that communicated immediately at every event with a context-sensitive (CS) policy that selected \textit{Immediate}, \textit{Delayed}, or \textit{Silent} communications. CS increased communication appropriateness and substantially reduced perceived interruption. Perceived trust did not differ between policies, although baselines dispositional trust differentiated communication preferences. Findings highlight event consequence, passenger activity, continuing information value, and confirmation need as key considerations for selective in-cabin communication.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Context-Sensitive
Communication Policy
In-Car Agent
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