PDF(Pubmed)
Abstract：
Background: Robots are increasingly used as interaction partners with humans. Social robots are designed to follow expected behavioral norms when engaging with humans and are available with different voices and even accents. Some studies suggest that people prefer robots to speak in the user\'s dialect, while others indicate a preference for different dialects. Methods: Our study examined the impact of the Berlin dialect on perceived trustworthiness and competence of a robot. One hundred and twenty German native speakers (M age = 32 years, SD = 12 years) watched an online video featuring a NAO robot speaking either in the Berlin dialect or standard German and assessed its trustworthiness and competence. Results: We found a positive relationship between participants\' self-reported Berlin dialect proficiency and trustworthiness in the dialect-speaking robot. Only when controlled for demographic factors, there was a positive association between participants\' dialect proficiency, dialect performance and their assessment of robot\'s competence for the standard German-speaking robot. Participants\' age, gender, length of residency in Berlin, and device used to respond also influenced assessments. Finally, the robot\'s competence positively predicted its trustworthiness. Discussion: Our results inform the design of social robots and emphasize the importance of device control in online experiments.
摘要：
背景：机器人越来越多地用作与人类互动的伙伴。社交机器人被设计为在与人类接触时遵循预期的行为规范，并且具有不同的声音甚至口音。一些研究表明，人们更喜欢机器人用用户的方言说话，而其他人则表示偏爱不同的方言。方法：我们的研究检查了柏林方言对机器人感知的可信性和能力的影响。一百二十名德语母语人士(M岁=32岁，SD=12年）观看了一个在线视频，该视频以NAO机器人用柏林方言或标准德语讲话，并评估了其可信度和能力。结果：我们发现参与者自我报告的柏林方言熟练程度与说方言的机器人的可信度之间存在正相关关系。只有在控制人口因素的情况下，参与者的方言熟练程度之间存在正相关，方言表现及其对标准德语机器人能力的评估。参与者的年龄，性别,在柏林居住的时间，和用于响应的设备也影响了评估。最后,机器人的能力积极地预测了它的可信度。讨论：我们的结果为社交机器人的设计提供了信息，并强调了在线实验中设备控制的重要性。
