As Robots become ever more important in our daily lives there's growing need for understanding how they're perceived by people. This study aims to investigate how the user perception of robots is influenced by displays of personality. Using LLMs and speech to text technology, we designed a within-subject study to compare two conditions: a personality-driven robot and a purely task-oriented, personality-neutral robot. Twelve participants, recruited from Socially Intelligent Robotics course at Vrije Universiteit Amsterdam, interacted with a robot Nao tasked with asking them a set of medical questions under both conditions. After completing both interactions, the participants completed a user experience questionnaire measuring their emotional states and robot perception using standardized questionnaires from the SRI and Psychology literature.

翻译：随着机器人在我们日常生活中扮演着越来越重要的角色，理解人们如何感知机器人变得日益重要。本研究旨在探究机器人个性展示如何影响用户对其的感知。利用大型语言模型和语音转文本技术，我们设计了一项被试内研究，以比较两种条件：具有个性驱动的机器人与纯粹任务导向、个性中立的机器人。十二名参与者（招募自阿姆斯特丹自由大学社会智能机器人课程）与机器人Nao进行了互动，该机器人在两种条件下均负责向参与者提出一系列医疗问题。完成两次互动后，参与者填写了用户体验问卷，通过采用来自SRI和心理学文献的标准问卷，测量了他们的情绪状态及对机器人的感知。