让机器人展现个性，能显著改变人对其的感知与情感反应。
Existential Crisis: A Social Robot's Reason for Being
- 用大模型和语音识别技术让机器人展示人格特质
- 12名参与者在两种模式下交互后，对人格化机器人评价更高
- 适合研究人机交互、社交机器人设计的学者与开发者
随着机器人在日常生活中日益重要，理解人们对机器人的认知变得愈发关键。本研究探讨了人格表现如何影响用户对机器人的感知。通过使用大语言模型（LLMs）与语音转文本技术，我们设计了一项被试内实验，比较两种情境：具有人格特征的机器人与纯粹任务导向、无个性特征的机器人。12名来自阿姆斯特丹自由大学社交智能机器人课程的学生参与实验，与Nao机器人互动，该机器人在两种条件下分别提出一组医疗问题。完成交互后，参与者填写了基于SRI和心理学文献的标准问卷，评估其情绪状态与对机器人的感知。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。