使用语音检测对虚拟助手技能的不信任
Detecting Distrust Towards the Skills of a Virtual Assistant Using Speech
摘要：
研究表明，信任是人机交互的一个重要方面，直接决定了人们愿意使用系统的程度。用户对某个系统的信任程度的自动预测可以用于尝试通过使系统采取相关动作（例如，更彻底地解释其动作）来纠正潜在的不信任。在这项工作中，我们探讨了自动检测的信任程度，用户对虚拟助理（VA）的基础上，他们的语音的可行性。我们使用为此目的收集的数据集，其中包含人机语音交互，受试者被要求在虚拟助手的帮助下回答各种事实问题，他们被引导相信这些问题是非常可靠或不可靠的。我们发现，受试者的语音可以用来检测他们正在使用哪种类型的VA，这可以被认为是用户对VA的能力的信任的代理，与50%的随机基线相比，准确率高达76%。这些结果是使用先前发现的用于检测针对婴儿和非母语者的语音的功能获得的。
英文摘要：
Research has shown that trust is an essential aspect of human-computer interaction directly determining the degree to which the person is willing to use the system. An automatic prediction of the level of trust that a user has on a certain system could be used to attempt to correct potential distrust by having the system take relevant actions like, for example, explaining its actions more thoroughly. In this work, we explore the feasibility of automatically detecting the level of trust that a user has on a virtual assistant (VA) based on their speech. We use a dataset collected for this purpose, containing human-computer speech interactions where subjects were asked to answer various factual questions with the help of a virtual assistant, which they were led to believe was either very reliable or unreliable. We find that the subject's speech can be used to detect which type of VA they were using, which could be considered a proxy for the user's trust toward the VA's abilities, with an accuracy up to 76\%, compared to a random baseline of 50\%. These results are obtained using features that have been previously found useful for detecting speech directed to infants and non-native speakers.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
