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Influence of kinesthetic and immersive parameters in driving simulators: Development of a scientific model to predict and design ecologically valid driving environments

驾驶模拟器中动觉和沉浸参数的影响：开发科学模型来预测和设计生态有效的驾驶环境

基本信息

批准号：
380074546
负责人：
Professor Dr.-Ing. Rainer Stark
金额：
--
依托单位：
Fachgebiet Industrielle Informationstechnik
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2017
资助国家：
德国
起止时间：
2016-12-31 至 2020-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/380074546?language=en
关键词：
Influence kinesthetic immersive parameters driving

项目摘要

Due to innovative scientific findings in the area of kinesthetic and immersion, driving simulation environments could be improved and designed so that user studies in driving simulators can be experienced in the most realistic way as possible. In this research project, a scientific model will be developed which makes predictions about how driving simulation environments should be designed to generate ecologically valid data (=transferable and applicable to real (driving) situations) in driving simulators. The innovation content of this research approach provides the basis for a new validation process that could minimize the gap between simulator and real car driving studies. In addition to the scientific benefit by developing a new scientific model in the context of immersive driving environments, the industry would benefit from this research project, too. The hereby developed knowledge base in form of a software tool, which is based on the scientific model, could support industry by resource-efficient evaluation within immersive driving simulators (compared to more expensive field studies). Furthermore, society would also benefit from valid test environments for driver assistance systems. By developing and evaluating reliable in-car systems, accidents could be reduced and customer satisfaction increased. In order to achieve the overall objective of generating ecologically valid data in driving simulators by implementing immersive parameters, there are three project objectives to be considered: 1. Scientific knowledge about the influence of kinesthetic parameters in the driving simulator on humans by a simulator study will be achieved. Thus, four experimental groups (0%, 40%, 70%, 100% relation to reality at an acceleration) will be compared to each other. A scientific model will arise thereby. 2. Scientific knowledge about the influence of a high immersive driving simulation environment (= an overall system consisting of kinesthetic, stereoscopic, acoustic parameters) compared to a real driving environment will be achieved. Thus, two experimental groups (low immersive vs. high immersive environment) will be compared by a simulator study. The scientific model will be amplified and finalized. 3. Development of a usable and easily accessible knowledge base in the form of a software application, which is developed by integrating the scientific model as framework. From the empirical data of the driving simulator studies 1 (kinesthetic) and 2 (overall system) general valid design guidelines for driving simulation environments can be derived. By an additional study realized with the scientific cooperation partners (FKFS, TU Dresden) the model will be validated.

由于在动觉和沉浸感领域的创新科学发现，驾驶模拟环境可以得到改进和设计，以便驾驶模拟器中的用户研究可以以尽可能真实的方式体验。在本研究项目中，将开发一种科学模型，预测驾驶模拟环境应如何设计，以生成驾驶模拟器中的生态有效数据（=可转移和适用于真实的（驾驶）情况）。这种研究方法的创新内容为新的验证过程提供了基础，可以最大限度地减少模拟器和真实的汽车驾驶研究之间的差距。除了在沉浸式驾驶环境中开发新的科学模型所带来的科学效益外，该行业也将从该研究项目中受益。由此开发的基于科学模型的软件工具形式的知识库可以通过沉浸式驾驶模拟器内的资源效率评估来支持行业（与更昂贵的实地研究相比）。此外，社会也将受益于驾驶员辅助系统的有效测试环境。通过开发和评估可靠的车载系统，可以减少事故，提高客户满意度。为了实现通过实施沉浸式参数在驾驶模拟器中生成生态有效数据的总体目标，需要考虑三个项目目标：1.通过模拟器研究，将获得驾驶模拟器中动觉参数对人类影响的科学知识。因此，四个实验组（在加速度下与现实的关系为0%、40%、70%、100%）将相互比较。一个科学的模型将由此产生。2.与真实的驾驶环境相比，将获得关于高度沉浸式驾驶模拟环境（=由动觉、立体、声学参数组成的整个系统）的影响的科学知识。因此，将通过模拟器研究比较两个实验组（低沉浸环境与高沉浸环境）。科学模型将得到扩充和最后确定。3.以软件应用程序的形式开发一个可用和易于访问的知识库，该软件应用程序是通过将科学模型作为框架来开发的。从驾驶模拟器研究1（动觉）和2（整体系统）的经验数据中，可以推导出驾驶模拟环境的通用有效设计指南。通过与科学合作伙伴（FKFS，TU Dresden）进行的额外研究，将对模型进行验证。