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拟人化界面能否提升多任务场景下人机协作的人机工程学与安全性能?——以高速列车中的人机共驾为例

Can Anthropomorphic Interfaces Improve the Ergonomics and Safety Performance of Human-Machine Collaboration in Multitasking Scenarios?-An Example of Human-Machine Co-Driving in High-Speed Trains.

作者信息

Jiang Yunan, Zhi Jinyi

机构信息

Department of Industrial Design, Southwest Jiaotong University, Chengdu 610031, China.

出版信息

Biomimetics (Basel). 2025 May 11;10(5):307. doi: 10.3390/biomimetics10050307.

Abstract

High-speed trains are some of the most important transportation vehicles requiring human-computer collaboration. This study investigated the effects of different types of icons on recognition performance and cognitive load during frequent observation and sudden takeover tasks in high-speed trains. The results of this study can be used to improve the efficiency of human-computer collaboration tasks and driving safety. In this study, 48 participants were selected for a simulated driving experiment on a high-speed train. The recognition reaction time, operation completion time, number of recognition errors, number of operation errors, SUS scale, and NASA-TLX questionnaire for the icons were all analyzed using analysis of variance (ANOVA) and the nonparametric Mann-Whitney U test. The results show that anthropomorphic icons can reduce the drivers' visual fatigue and mental load in frequent observation tasks due to the anthropomorphic facial features attracting driver attention through simple lines and improving visual search efficiency. However, for the sudden takeover human-computer collaboration task, the facial features of the anthropomorphic icons were not recognized in a short period of time. Additionally, due to the positive emotions produced by the facial features, the drivers did not perceive the suddenness and danger of the sudden takeover human-computer collaboration task, resulting in the traditional icons being more capable of arousing the drivers' alertness and helping them take over the task quickly. At the same time, neither type of icon triggered misrecognition or operation for sufficiently skilled drivers. These research results can provide guidance for the design of icons in human-computer collaborative interfaces for different types of driving tasks in high-speed trains, which can help improve the recognition speed, reaction speed, and safety of drivers.

摘要

高速列车是一些最重要的需要人机协作的交通工具。本研究调查了不同类型图标在高速列车频繁观察和突然接管任务期间对识别性能和认知负荷的影响。本研究结果可用于提高人机协作任务的效率和驾驶安全性。在本研究中,选取了48名参与者进行高速列车模拟驾驶实验。使用方差分析(ANOVA)和非参数曼-惠特尼U检验对图标的识别反应时间、操作完成时间、识别错误数量、操作错误数量、SUS量表和NASA-TLX问卷进行了分析。结果表明,拟人化图标可以减少驾驶员在频繁观察任务中的视觉疲劳和心理负荷,因为拟人化的面部特征通过简单的线条吸引驾驶员的注意力并提高视觉搜索效率。然而,对于突然接管的人机协作任务,拟人化图标的面部特征在短时间内未被识别。此外,由于面部特征产生的积极情绪,驾驶员没有察觉到突然接管人机协作任务的突然性和危险性,导致传统图标更能唤起驾驶员的警觉并帮助他们快速接管任务。同时,对于技能足够熟练的驾驶员,两种类型的图标均未触发误识别或误操作。这些研究结果可为高速列车不同类型驾驶任务的人机协作界面中的图标设计提供指导,有助于提高驾驶员的识别速度、反应速度和安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d11/12109194/2b64f3fb65ea/biomimetics-10-00307-g001.jpg

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