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人机协同背景下农用无人机作业控制界面交互设计研究
邵将1,马国萍1,陈志勇1,宫宇1,李玉鹏1,田静2
1.中国矿业大学,江苏 徐州 221000;2.拓攻(南京)机器人有限公司,南京 210000
摘要:
目的 科学设计典型无人机的作业控制界面,旨在提高人机协同背景下的作业人员交互控制能力,减少操作失误和作业低效。方法 调研人机协同情境下,界面交互过程中存在的问题与用户协同作业期望;通过可用性测试评估量表及眼动追踪实验对设计方案进行评估。结果 作业人员在使用优化后方案完成设定任务时,反应时更短,平均瞳孔直径更小,用时更短,准确率更高。结论 作业人员对优化后的人机协同操控界面的感知能力、理解能力和预测能力都显著优于优化前,验证了优化后界面交互设计方案的有效性。
关键词:  人机交互界面  人机协同  态势感知  眼动追踪  农业无人机
DOI:10.19554/j.cnki.1001-3563.2025.04.004
分类号:
基金项目:国家重点研发计划课题资助(2024YFC3015005)
Interactive Design of the Operation Control Interface of Typical Drones in the Context of Human-Machine Collaboration
SHAO Jiang1, MA Guoping1, CHEN Zhiyong1, GONG Yu1, LI Yupeng1, TIAN Jing2
(1. China University of Mining and Technology, Jiangsu Xuzhou 221000, China;2. TTA (Nanjing) Robotics Co., Ltd., Nanjing 210000, China)
Abstract:
The work aims to scientifically design the operation control interface of typical drones, to enhance the interactive control ability of operators in the context of human-machine collaboration and reduce operational errors and inefficiencies. The problems existing in the interface interaction process and the expectations of users in the human-machine collaboration context were investigated. The design scheme was evaluated through the usability test evaluation scale and eye-tracking experiments. When using the optimized scheme to complete the set tasks, operators had shorter response time and smaller average pupil diameter, took less time and got higher accuracy rate. The operators' perception, understanding and prediction ability of the optimized human-machine collaboration control interface are significantly better than those before optimization, which verifies the effectiveness of the optimized interface interaction design scheme.
Key words:  human-machine interaction interface (HMI)  human-machine collaboration (HMC)  situation awareness (SA)  eye-tracking  agricultural drones

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