Digital Product - Digital User (DPDU)

数字产品-数字用户(DPDU)项目旨在开发一种关于系统认知工效学的人机系统整体建模的创新方法。认知人机工程学规定了系统设计应该如何适应用户的认知能力、技能和策略。该方法将扩展认知体系结构以包括空间认知过程和空间能力的个体差异，以改善涉及空间任务的人-机-机交互。人类空间认知在用户与技术系统的交互中起着重要作用，因此，该项目在现有认知体系结构中集成了新的空间模块以允许更详细地建模空间认知过程。这种建模方法将以行为和大脑皮层数据为基础。此外，整体系统视图将包括产品开发周期一开始的用户模型和技术模型。为了实现这一点，将实现用于工程应用的示例性人机系统模型。第一步，建立了心理旋转和心理折叠的空间认知过程的认知模型。在第二步中，认知模型将被扩展以模拟这些基本过程的组合。此外，还将实现一个接口，使认知模型能够与技术模型交互。认知模型的每一次迭代都将就其行为和神经生理学有效性进行实验评估。将采集和分析EEG数据，以不仅帮助评估当前模型迭代，而且通知各自的下一次扩展。基于认知模型的预测，可以对电生理数据进行测试，以允许采用理论驱动的神经科学方法来研究基本空间认知过程的神经基础。最后，从已建立的2D刺激材料到更复杂、更自然的刺激再到真正的手术台，脑电方法从基于桌面的研究进展到允许记录和分析积极行为参与者的脑电活动的移动脑/身体成像(MOBI)方法。由此产生的整体系统模型将为从开发过程的一开始就评估和开发技术系统提供一种新的创新方法。该项目为用认知模型通知脑电数据和利用高时间分辨率的神经生理学数据建立认知模型提供了一种新的方法。认知建模和电生理学的结合为进一步发展这两个领域提供了独特的可能性，并为整体建模方法提供了基础。

The Digital Product - Digital User (DPDU) project aims at developing an innovative approach in the holistic modelling of human-machine systems with regards to a systems cognitive ergonomics. Cognitive ergonomics specifies how a systems design should be adapted to the users cognitive abilities, skills, and strategies. The proposed approach will extend a cognitive architecture to include spatial cognitive processes and individual differences in spatial abilities to improve human-machine-interaction that involve spatial tasks.Human spatial cognition plays an important role in the interaction of a user with technical systems and thus, the proposed project integrates a new spatial module in an existing cognitive architecture to allow modelling of spatial cognitive processes in more detail. This modelling approach will be based both on behavioural and on electrocortical data. In addition, a holistic system view will include a user model as well as a technical model from the very beginning of the product development cycle. To achieve this, an exemplary human-machine system model for an engineering application will be implemented. In the first step, a cognitive model for the spatial cognitive processes of mental rotation and mental folding will be developed. In a second step, the cognitive model will be extended to simulate a combination of these basic processes. In addition, an interface will be implemented, enabling the cognitive model to interact with the technical model. Each iteration of the cognitive model will be experimentally evaluated with regard to its behavioural and neurophysiological validity. EEG data will be acquired and analysed to not only help to evaluate the current model iteration, but to inform the respective next extension. Based on predictions from the cognitive model, the electrophysiological data can be tested to allow for a theory-driven neuroscientific approach to investigate the neural basis of the basic spatial cognitive processes. Finally, advancing from established 2D stimulus material to more complex and naturalistic stimuli to a real operating table, the EEG methods progress from established desktop-based investigations to mobile brain/body imaging (MoBI) approaches that allow recording and analyses of EEG activity in actively behaving participants.The resulting holistic system model will provide a new and innovative method for the evaluation and development of technical systems from the very beginning in the development process. The project provides a new method for informing EEG data by cognitive models and to develop cognitive models by neurophysiological data with high temporal resolution. The combination of cognitive modelling and electrophysiology offers a unique possibility to further develop both fields and to provide the basis for a holistic modeling approach.