Research suggests that speech-based interventions can mitigate driving anger and enhance road safety. The present study found that both positive and negative comments can reduce anger state and perceived workload, and improve driving performance. In addition, positive comment including description of the driving environment and comment on drivers is more effective than negative comment intervention, which is indicated by larger effect size and higher user satisfaction and acceptance. The research findings could provide practical implications on the design of in-vehicle intelligent agents for driving behavior intervention.

中文翻译：

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基于语音的干预（带有积极的评论）对减少驾驶员的愤怒状态和感知的工作量以及改善驾驶性能的影响。

研究表明，基于语音的干预措施可以减轻驾驶者的愤怒并提高道路安全性。本研究发现，正面和负面评论都可以减少愤怒状态和可感知的工作量，并改善驾驶性能。此外，正面评价包括对驾驶环境的描述和对驾驶员的评论比负面评论干预更为有效，这通过更大的效果量和更高的用户满意度和接受度来表明。研究结果可能为驾驶行为干预的车载智能代理的设计提供实际意义。