下一代?基于智能眼镜建模系统的设计与实现

Dirk Metzger, Christina Niemöller, Sven Jannaber, Lisa Berkemeier, Lukas Brenning, Oliver Thomas
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引用次数: 6

摘要

创新商业模式中的技术服务正变得越来越复杂。因此,全面的it支持对服务交付至关重要。这些it支持系统的内容是通过建模相关的服务流程来获取的。除了无形性和集成性,服务的特点是其结构的复杂性。因此,由建模专家执行的传统建模方法具有挑战性。为了克服这些挑战,我们开发了一个概念,在执行服务本身的同时在服务点对服务流程进行建模。流程执行者(例如技术人员)通过智能眼镜获得授权,而智能眼镜不会限制其操作范围。此外,眼镜还指导(运行时)建模,并允许在执行期间轻松捕获服务流程。我们遵循以设计科学为导向的方法。首先,我们从文献中确定了运行时建模(分析)的相关过程块。然后,我们为过程块(设计)构建了相关的软件组件。为此,我们提出了一个基于智能眼镜的建模系统的实现和架构。最后,我们通过原型设计来评估这个概念,并通过真实世界的服务流程(评估)来演示这个系统。我们的方法解决了新技术如何在服务点增强建模的挑战,哪些过程块是相关的,以及如何将领域专家集成到建模过程本身中。实际意义是对捕获过程的新机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Next Generation? Design and Implementation of a Smart Glasses-based Modelling System
Technical services in innovative business models are becoming increasingly complex. Thus, comprehensive IT-support is crucial for service delivery. Content for those IT-support systems is captured by modelling relevant service processes. Aside the intangibility and integrativity, services are characterized by the complexity of their structure. So, the traditional modelling approaches executed by modelling experts are challenging. To overcome those challenges, we developed a concept to model service processes at the point-of-service while executing the service itself. The process executer (e. g. the technician) is empowered by smart glasses that do not limit his scope of actions. Additionally, the glasses guide through the (runtime) modelling and allow easy capturing of service processes during the execution. We followed a design science-oriented approach. First, we identified relevant process blocks from literature for runtime modelling (analysis). Afterwards, we built related software components for the process blocks (design). We do so by proposing an implementation and an architecture for a smart glasses-based modelling system. Finally, we evaluated the concept by prototyping and demonstrating the system by means of a real-world service process (evaluation). Our approach tackles challenges on how new technology can enhance the modelling at the point-of-service, which process blocks are relevant and how domain experts can be integrated into the modelling process itself. The practical implications are towards new chances of capturing processes.
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