In this paper, we study the effects of different ways of producing greetings in human-robot interaction. We first generated computer utterances of verbal greetings, whose intonation contours, we then manipulated using Praat. Each utterance was matched with a video of a robot waving a greeting at the observer. Altogether, the experiment uses two lexical items (hello vs. hi), three robots and four different intonation contours. The videos were distributed over different questionnaires so that each participant only got to see each robot once. The results reveal that native speakers of English rate the robots significantly different concerning friendliness, assertiveness, and engagement depending on the intonation contours. However, these effects differ for the different lexical items, and the apparently non-conventional hi with rising intonation contour was in fact rated as most engaging.
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机译：在本文中，我们研究了不同方式在人机互动中产生问候的影响。我们首先生成了口头问候的计算机话语，其语调轮廓，然后我们使用Praat操纵。每个话语都与机器人的视频相匹配，在观察者处挥动问候语。完全，实验使用两个词汇项目（Hello Vs. Hi），三个机器人和四个不同的语调轮廓。视频分布在不同的问卷上，以便每个参与者只能看到每个机器人一次。结果表明，英语母语讲话者对机器人有关友好性，自信和取决于语调轮廓的友好，自信和参与。然而，这些效果对于不同的词汇物品而异，并且具有上升的语调轮廓的明显非传统致含量实际上是最具吸引力的。
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