论文标题
语音助手应该如何处理用户的情绪？
How Should Voice Assistants Deal With Users' Emotions?
论文作者
论文摘要
HCI在发现用户的情绪方面的研究越来越多。一旦可以可靠地检测到用户的情绪，下一个问题是情绪感知的界面应如何反应被检测到的情绪。第一步，我们试图找出人类如何应对化身的负面情绪。这种方法背后的希望是确定人类策略，然后我们可以在情感意识的语音助手中模仿。我们介绍了一项用户研究，其中参与者面临着愤怒，悲伤或受惊的头像。他们的任务是通过与之交谈使头像开心。我们记录了语音信号并进行了分析。结果表明，用户主要对中性情绪做出反应。但是，我们还发现了性别差异，这引起了一系列问题。
There is a growing body of research in HCI on detecting the users' emotions. Once it is possible to detect users' emotions reliably, the next question is how an emotion-aware interface should react to the detected emotion. In a first step, we tried to find out how humans deal with the negative emotions of an avatar. The hope behind this approach was to identify human strategies, which we can then mimic in an emotion-aware voice assistant. We present a user study in which participants were confronted with an angry, sad, or frightened avatar. Their task was to make the avatar happy by talking to it. We recorded the voice signal and analyzed it. The results show that users predominantly reacted with neutral emotion. However, we also found gender differences, which opens a range of questions.
