测试三种情绪模拟方式对游客体验安卓机器人影响，发现无效。
Back to the museum: Investigation of the acceptance of Android Andrea with and without emotion simulation in a museum
- 用ChatGPT和WASABI实现机器人情绪模拟
- 73名游客评估显示情绪模拟无显著提升
- 适合关注人机交互与情感计算的读者
安卓机器人Andrea第二次在德国公共博物馆独立运行六天，与访客进行多语言对话。机器人基于博物馆背景信息自主交流，拥有略显人工但与性别模糊且高度类人外观相符的声音。实验设置三种条件：(1) 不模拟情绪，(2) 使用ChatGPT 4.1决定情绪，(3) 采用WASABI情绪模拟架构。通过扩展版TAM2问卷，73名访客报告了对机器人主观评价。统计分析表明，前两种情绪实现方式未显著改善访客主观评价，且在意识层面不可察觉。
原文摘要 · Abstract (English)
For a second time, the android robot Andrea was set up at a public museum in Germany for six consecutive days to have conversations with visitors, fully autonomously. Building on previously gathered qualitative results, the robot was now capable of engaging in multi-lingual conversation with the visitors about the museum context. The robot was prepared with context information about the museum in general and its surrounding exhibits this time. The robot featured a slightly artificial sounding voice that was previously evaluated as congruent with its gender-ambiguous but very humanlike design. Three experimental conditions were implemented, in which either (1) the robot simulated no emotions, (2) the robots emotions were determined by ChatGPT 4.1, or (3) the WASABI emotion simulation architecture simulated the robot's emotion dynamics. An extended version of the TAM2 questionnaire was employed to let 73 visitors report on several factors of their opinion about the android robot Andrea after having experienced it. In result, the statistical analysis suggests that these first two approaches to implementing emotions into the chat architecture of our android robot Andrea did not yield any positive effects on the subjective evaluations by the visitors and were not detectable on a conscious level.
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。