Robots in the Danger Zone: Exploring Public Perception through Engagement
David A. Robb, Muneeb I. Ahmad, Carlo Tiseo, Simona Aracri, Alistair C. McConnell, Vincent Page, Christian Dondrup, Francisco J. Chiyah Garcia, Hai-Nguyen Nguyen, Èric Pairet, Paola Ardón Ramírez, Tushar Semwal, Hazel M. Taylor, Lindsay J. Wilson, David Lane, Helen Hastie, Katrin Lohan
- 发表年份
- 2020
- 访问权限
- 开放获取
摘要
Public perceptions of Robotics and Artificial Intelligence (RAI) are important in the acceptance, uptake, government regulation and research funding of this technology. Recent research has shown that the public's understanding of RAI can be negative or inaccurate. We believe effective public engagement can help ensure that public opinion is better informed. In this paper, we describe our first iteration of a high throughput in-person public engagement activity. We describe the use of a light touch quiz-format survey instrument to integrate in-the-wild research participation into the engagement, allowing us to probe both the effectiveness of our engagement strategy, and public perceptions of the future roles of robots and humans working in dangerous settings, such as in the off-shore energy sector. We critique our methods and share interesting results into generational differences within the public's view of the future of Robotics and AI in hazardous environments. These findings include that older peoples' views about the future of robots in hazardous environments were not swayed by exposure to our exhibit, while the views of younger people were affected by our exhibit, leading us to consider carefully in future how to more effectively engage with and inform older people.
关键词
相关论文
如何缓解越野环境中语义分割的分布偏移
Ji-Hoon Hwang, Daeyoung Kim, Hyung-Suk Yoon 等 5 位作者
2026
基于原型模糊推理与证据融合的不确定性引导工业机器人可进化识别框架
Yanrun Zhou, Zihao Lei, Guangrui Wen 等 7 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于点云配准的非破坏性高分辨率涂层厚度三维扫描测量
Simon Duenser, Ivo Aschwanden, Raamadaas Krishnadas 等 5 位作者
Robotics and Computer-Integrated Manufacturing · 2026
迈向智能机器人时代:用于高级感知系统的多模态柔性触觉传感器
Sili Ding, Feng Xu, Jie Chen 等 6 位作者
Progress in Materials Science · 2026