用地方话对话让机器人更亲切，提升用户好感度。
Talking Like One of Us: Effects of Using Regional Language in a Humanoid Social Robot
- 机器人用低地德语回应，比标准德语更显亲切
- 17名参与者中，地方话版本温暖感显著更高
- 适合注重文化认同的公共场景人机交互设计
社交机器人在公共服务场景中日益常见。为实现自然互动与用户接受，言语交流方式至关重要。本文研究非标准/地方语言与标准语言对人机交互的影响。具体比较了人与人形社交机器人Pepper的对话：机器人分别使用高地德语和低地德语（德国北部地区仍部分使用的方言）作答，内容完全相同。我们关注不同语言变体对熟悉或不熟悉低地德语的对话者在感知温暖、能力及不适感方面的影响，尤其涉及文化身份背景。通过17名年龄19至61岁的参与者，使用机器人社会属性量表（RoSAS）测量。结果显示，使用低地德语时，感知温暖度显著更高。
原文摘要 · Abstract (English)
Social robots are becoming more and more perceptible in public service settings. For engaging people in a natural environment a smooth social interaction as well as acceptance by the users are important issues for future successful Human-Robot Interaction (HRI). The type of verbal communication has a special significance here. In this paper we investigate the effects of spoken language varieties of a non-standard/regional language compared to standard language. More precisely we compare a human dialog with a humanoid social robot Pepper where the robot on the one hand is answering in High German and on the other hand in Low German, a regional language that is understood and partly still spoken in the northern parts of Germany. The content of what the robot says remains the same in both variants. We are interested in the effects that these two different ways of robot talk have on human interlocutors who are more or less familiar with Low German in terms of perceived warmth, competence and possible discomfort in conversation against a background of cultural identity. To measure these factors we use the Robotic Social Attributes Scale (RoSAS) on 17 participants with an age ranging from 19 to 61. Our results show that significantly higher warmth is perceived in the Low German version of the conversation.
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