Design and demonstration of an engineering method for service support systems

Metzger, Dirk; Niemöller, Christina; Thomas, Oliver

doi:10.1007/s10257-016-0331-x

Cited by 11 publications

(4 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Researchers have explored a virtual industrial robot simulation for operation skill training [11] and used an animated 3D atlas model to present biomedical engineering knowledge [21]. Likewise, HMD VR environments have been created to simulate a bank IT system [41], a customer service support system [38], an astronaut system [32], and the metro system for rehearsing the emergency exercise [33].…”

Section: Resultsmentioning

confidence: 99%

Head‐mounted display‐based virtual reality systems in engineering education: A review of recent research

Huang

Roscoe

2021

Comp Applic In Engineering

View full text Add to dashboard Cite

Engineering education refers to developing an understanding of the principles, methods, and ways of thinking that underlie engineering, and preparing students and engineers for productive engineering careers. The purpose of this review is to explore how head‐mounted display‐based virtual reality (HMD VR) can contribute to these goals. Historically, engineering has not been a focus for VR in education. However, recent technical advances and decreasing prices are driving a growing public interest in applying HMD VR in this field. This article reviews 47 publications on this topic, primarily appearing from 2015 to May of 2020. The literature reveals that engineering researchers and instructors have broadly explored the potential of HMD VR in organized engineering instruction and training. However, rigorous evaluation appears to be somewhat lacking in the reviewed research, and most studies are conducted in a small‐scale laboratory setting. Nonetheless, HMD VR seems to be able to motivate students to learn and it is perceived to be useful in engineering education. Researchers are recommended to explore the methods of using HMD VR to facilitate lifelong learning, especially for the retraining and re‐employment of engineers who seek to change careers or collaborate with researchers in different disciplines. Engineering instructors may benefit from professional development that focuses on student‐centered pedagogies and skills attuned to the latest HMD VR systems.

show abstract

Section: Resultsmentioning

confidence: 99%

Head‐mounted display‐based virtual reality systems in engineering education: A review of recent research

Huang

Roscoe

2021

Comp Applic In Engineering

View full text Add to dashboard Cite

show abstract

“…SSSE extends the scope of service engineering [19] beyond methods for developing singular value propositions, towards the design of integrated products, services and information technology [20]. Even though the pool of methods for the development of classical product-service systems is extensive and includes a wide range of perspectives [21,22,23], there is a lack of approaches that focus on the orchestration of multiple components with AI capabilities across different providers and on the integration of process models from the areas of software development and data science [9]. This is particularly important within data ecosystems.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Integrating Data and Service Lifecycle for Smart Service Systems Engineering: Compilation of a Lifecycle Model for the Data Ecosystem of Smart Living

Kortum¹,

Rebstadt²,

Hagen³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

Self Cite

View full text Add to dashboard Cite

In smart service systems engineering, where actors rely on the mutual exchange of data to create complex and holistic solutions, integration is crucial. Nevertheless, the management of data as a driving resource still lacks organizational structure. There is no holistic lifecycle approach that integrates data and service lifecycle and adopts a cross-actor perspective. Especially in data ecosystems, where sovereign actors depend on the mutual exchange of data to create complex, but transparent service systems, an integration is of crucial importance. This particularly applies to the smart living domain, where different industries, products and services interact in a complex environment. In this paper we address this shortcoming by proposing an integrated model that covers the different relevant lifecycles based on a systematic literature review and supplement it by concrete domain requirements from the smart living ecosystem obtained through semi-structured expert interviews.

show abstract

“…SSE broadens the scope of service engineering [17] by methods for the development of singular value propositions towards "designing integrated conglomerates of products, services, and information technology" [3]. While several methods for the development of classical product-service systems exist with perspectives ranging from general to domain-specific [18][19][20][21], there is still a lack of systemic approaches focusing on the orchestration of multiple service and product components with smart capabilities [22]. Based on reviewing different approaches for the engineering of value propositions and service systems, recombinant SSE was introduced [3].…”

Section: Smart Service Systems Engineeringmentioning

confidence: 99%

Engineering of Data-Driven Service Systems for Smart Living: Application and Challenges

Kortum

Gravemeier

Zarvic

et al. 2020

IFIP Advances in Information and Communication Technology

Self Cite

View full text Add to dashboard Cite

Service systems in the smart living domain integrate a multitude of heterogenous data sources and affect the most private area of human lives. Therefore, particular challenges for service systems engineering arise in terms of interoperability of Internet-of-Things (IoT)-devices, privacy concerns and creating truly smart value propositions. By applying a promising approach, this paper examines smart service systems engineering and reveals the potential for extensions and adaptations of existing methods. A need for the integration of data science and software engineering approaches as well as a focus on acceptance, usability and the business perspective within a holistic smart service systems engineering method is discussed. This enables smart service systems to reconcile their human-centered and data-driven qualities.

show abstract

Design and demonstration of an engineering method for service support systems

Cited by 11 publications

References 45 publications

Head‐mounted display‐based virtual reality systems in engineering education: A review of recent research

Head‐mounted display‐based virtual reality systems in engineering education: A review of recent research

Integrating Data and Service Lifecycle for Smart Service Systems Engineering: Compilation of a Lifecycle Model for the Data Ecosystem of Smart Living

Engineering of Data-Driven Service Systems for Smart Living: Application and Challenges

Contact Info

Product

Resources

About