课题基金 / 基金详情

Human-Centred Future Mobility Innovation - New horizons for optimised Human Behaviour in Autonomous, Connected, Electrified, and Shared vehicle

Human-Centred Future Mobility Innovation - New horizons for optimised Human Behaviour in Autonomous, Connected, Electrified, and Shared vehicle
以人为本的未来移动创新——自动驾驶、互联、电气化和共享汽车中优化人类行为的新视野
批准号:
MR/T021160/1
负责人:
Lee Skrypchuk
金额:
$182.03万
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2020
资助国家:
英国
项目状态:
未结题
起止时间:
2020 至 --

项目摘要

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中文摘要
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英文摘要
The Autonomous, Connected, Electrified, and Shared (ACES) mobility revolution will change the driving environment creating fundamental differences resulting from emerging technologies. This change may make it challenging for the end-users to adopt because of uncertainty of the unknown, particularly where safety is a risk factor. Therefore, what defines "the vehicle" is being challenged. Imagine the difference between a privately owned human-driven, combustion engine vehicle with no connectivity to the internet, versus a shared vehicle with high levels of automation, electric powertrain and 5G connectivity. The anticipated benefits of future mobility technology may not be fully realised while we lack understanding of how these changes impact usability and change the vehicle experience. The change in both the underlying technology used and therefore the end-user perception is vast. This will drive increased levels of perceived risk and uncertainty for those who might like the relatively stable and inert vehicles that exist today. For example:Autonomy - incrementally lessens driver engagement bringing reducing levels of driving-related responsibility and potentially more freedom to perform alternative activities. Electrification - changes how a car is driven, with driving style and ownership habits that are different to the incumbent ICE technology. Connectivity - challenges attention and distraction in low levels of automation but increased productivity in high levels of automation. Shared - mobility changes the expectation of accessibility, ownership, familiarity, and perceived comfort within a vehicle.Combining all four into an ACES car equates to a paradigm shift. While the technology underpinning these innovations is under rapid growth, the user-technology experience, and understanding how human behaviour in-vehicle changes within ACES, is not receiving adequate focus and therefore how driver behaviour will change naturalistically, influencing interaction inside and outside of the vehicle, is not well understood.This project is business-led innovation that will investigate human behaviour and identify innovation and technology solutions to increase end-user acceptance, satisfaction and value. The target will be creating product novelty that results in societal benefits like safety and convenience as well as adding value to Jaguar Land Rover (JLR) and the UK innovation ecosystem. Initially, this project will define key challenges associated with human behaviour in near-future vehicles in order to invent and commercialise new technology solutions. This will include psychology, physiology, and human factors while focusing on perceptual, cognitive and physical demand as well as comfort, motion sickness, trust and productivity (particularly for automated vehicles) and their influence on end-user experience. The research will empathise, create ideas, collect, analyse, and interpret data, to turn findings into engineering requirements and new technology to guide future vehicle innovation. Collaboration with some of the world's greatest technical universities who will provide academic support, mentoring and strategic direction to make sure the latest cutting edge scientific approaches are used. Taking a user centred and data driven approach to designing ACES vehicles will result in societal benefits such as safety and convenience as well as adding value to Jaguar Land Rover and the wider UK society.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Managing Distraction Holistically through Driver Attention Support
通过驾驶员注意力支持全面管理分心
DOI: 10.1177/1071181322661023
发表时间: 2022
期刊: Proceedings of the Human Factors and Ergonomics Society Annual Meeting
影响因子: --
作者: [Reimer B]
通讯作者: Reimer B
DOI: 10.1109/jsen.2020.3005810
发表时间: 2020-06
期刊: IEEE Sensors Journal
影响因子: 4.3
作者: [Lichao Yang;Tingyu Yang;Haochen Liu;Xiaocai Shan;J. Brighton;L. Skrypchuk;Alexandros;Mouzakitis;Yifan Zhao]
通讯作者: Lichao Yang;Tingyu Yang;Haochen Liu;Xiaocai Shan;J. Brighton;L. Skrypchuk;Alexandros;Mouzakitis;Yifan Zhao
Trust evaluation of automated vehicles: A systematic review
自动驾驶汽车的信任评估:系统回顾
DOI: --
发表时间: 2023
期刊: AHFE 2023
影响因子: --
作者: [Hu, Z.]
通讯作者: Hu, Z.
Characterisation of Cognitive Load Using Machine Learning Classifiers of Electroencephlagram Data
使用脑电图数据的机器学习分类器表征认知负荷
DOI: --
发表时间: 2023
期刊: Unknown
影响因子: --
作者: [Wang Q]
通讯作者: Wang Q
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