As robots take on roles in our society, it is important that their appearance, behaviour and personality are appropriate for the job they are given and are perceived favourably by the people with whom they interact. Here, we provide an extensive quantitative and qualitative study exploring robot personality but, importantly, with respect to individual human traits. Firstly, we show that we can accurately portray personality in a social robot, in terms of extroversion-introversion using vocal cues and linguistic features. Secondly, through garnering preferences and trust ratings for these different robot personalities, we establish that, for a Robo-Barista, an extrovert robot is preferred and trusted more than an introvert robot, regardless of the subject's own personality. Thirdly, we find that individual attitudes and predispositions towards robots do impact trust in the Robo-Baristas, and are therefore important considerations in addition to robot personality, roles and interaction context when designing any human-robot interaction study.

翻译：随着机器人在社会中承担起各种角色，确保其外观、行为及个性与其所担负的任务相匹配，并受到与其交互的人类的好评，这一点至关重要。在此，我们开展了全面的定量与定性研究，探索机器人个性，且重点关注其与个体人类特质的关系。首先，我们证明，通过声音线索和语言特征，可以准确地在社交机器人中塑造外向-内向维度的个性特征。其次，通过收集针对这些不同机器人个性的偏好及信任评分，我们确定，对于机器人咖啡师而言，无论受试者自身个性如何，外向型机器人都比内向型机器人更受偏爱和信任。第三，我们发现，个体对机器人的态度和倾向确实会影响其对机器人咖啡师的信任。因此，在设计任何人机交互研究时，除了机器人个性、角色及交互情境外，这些因素也是重要的考量内容。