Exploring emergent human-robot interactions and work configurations in critical organizational contexts

探索关键组织环境中的新兴人机交互和工作配置

• 批准号: 2700685
• 金额: --
• 依托单位: Lancaster University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2700685
• 关键词: Exploring; emergent; human; robot; interactions

Advances in artificial intelligence (AI), robotics and automation present both game-changingopportunities and existential threats to business and organisations (Sebastian et al., 2020).Understanding how to integrate intelligent systems with human knowledge and efforts istherefore important to best use these technologies, while also considering ethical dilemmas inthe management and governance of these systems. These new technologies are generative,malleable, interactive and open (Klein and Watson-Manheim, 2021), hence they influencethe nature of work, alter existing leadership styles and create new capabilities andorganisational structures, making their management a complex technical and social task(Baptista et al., 2020). This study will explore the emergent integration of autonomous multirobot(AMR) technology and swarm robotics in organisations, especially in the context ofenvironmental monitoring and disaster prevention and handling. Moreover, it will investigatehow these technologies can be aligned with fundamental human values as expressed in theUnited Nations Sustainable Development Goals (SDG), particularly ensuring they actresponsibly, contributing to the literature on social responsibility and information systemssecurity.

人工智能（AI），机器人技术和自动化的进步既展示了游戏更改的企业和对商业和组织的生存威胁（Sebastian等，2020）。理解如何将智能系统与人类知识和知识相结合，从而使人们可以最好地使用这些技术，同时考虑到这些系统中的道德困境，同时考虑这些系统的伦理难题。这些新技术具有生成性，可延展，互动和开放性（Klein和Watson-Manheim，2021年），因此它们影响了工作的本质，改变了现有的领导风格并创造了新的能力，使他们的管理层成为复杂的技术和社会任务（Baptista等，2020年）。这项研究将探讨组织中自主多机器人（AMR）技术与群体机器人技术的新兴整合，尤其是在环境监测以及预防灾难和处理的背景下。此外，它将调查这些技术可以与基本的人类价值观保持一致，如在美国的可持续发展目标（SDG）中所表达的那样，特别是确保它们进行了大量的研究，从而为社会责任和信息系统的文献做出了贡献。