Mind or Machine? Opportunities and Limits of Automation

Nokelainen, Petri; Nevalainen, Timo; Niemi, Kreeta

doi:10.1007/978-3-319-63257-5_2

Cited by 28 publications

(13 citation statements)

References 19 publications

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“…In the case of inaccurate and erroneous data resulting in erroneous decisions, it will become necessary for humans to recognize these errors and be able to correct them and overrule the computer system. This requires new skills (Nokelainen et al 2018;Tao et al 2019).…”

Section: The Digital Twin For and Of Humansmentioning

confidence: 99%

The Concept of a Digital Twin and Its Potential for Learning Organizations

Berisha-Gawlowski

Caruso

Harteis

2021

Digital Transformation of Learning Organizations

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The digital transformation of organizations in the industrial sector is primarily driven by the opportunity to increase productivity while simultaneously reducing costs through integration into a cyber-physical system. One way to fully tap the potential of a cyber-physical system is the concept of the digital twin, i.e., the real-time digital representation of machines and resources involved – including human resources. The vision of representing humans by digital twins primarily aims at increasing economic benefits. The digital twin of a human, however, cannot be designed in a similar way to that of a machine. The human digital twin shall rather enable humans to act within the cyber-physical system. It therefore offers humans a power of control and the opportunity to provide feedback. The concept of the digital twin is still in its infancy and raises many questions in particular from an educational perspective. The contribution aims at answering the following questions and refers to the example of team learning: Which and how much data should and may the digital twin contain in order to support humans in their learning? To what extent will humans be able to control and design their own learning? How may skills, experiences, and social interactions of humans be represented in the digital twin; their growth and further development, respectively? With cyber-physical systems transcending corporate, national, and legal boundaries, what learning culture will be the frame of reference for the involved organizations?

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Section: The Digital Twin For and Of Humansmentioning

confidence: 99%

The Concept of a Digital Twin and Its Potential for Learning Organizations

Berisha-Gawlowski

Caruso

Harteis

2021

Digital Transformation of Learning Organizations

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“…According to [15,19,20] digital twins that can be manipulated can support the decision-making process. Regarding the assessment of autonomous and decentralized decision-making, which is required in cyber-physical systems [22,24] it is hard to model these with the right interactions with other system components and with the right routing (decided upon by the autonomous object) [2,21]. However based on experiences on importing sensor data from a labenvironment into the virtual environment, comparing the routes and interaction with the first simulations, and then modify and manipulate these data in the digital twin (by using game mechanics), a better system understanding can be achieved [25].…”

Section: Needs and Requirements On A Digital Twin For Planning Prmentioning

confidence: 99%

“…978-1-7281-7037-4/20/$31.00 ©2020 IEEE Digital twin as a concept was established more than a decade ago, but several definitions exist [14]. Digital twin can mirror or simulate complex scenarios very close to the reality [13,14,24,25]. Besides providing an opportunity to be used as a learning and awareness-increasing tool in which operators, or management can use virtual reality (VR) tools to experience the real working conditions with high precision [26], the digital twin can support the introduction of new technologies and installations within the existing physical environment [23,27].…”

Section: Needs and Requirements On A Digital Twin For Planning Prmentioning

confidence: 99%

Employing digital twins within production logistics

Hauge¹,

Zafarzadeh

Jeong

et al. 2020

2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)

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Digitalisation and automation of existing processes are key competitive factors for industry. Still, logistic operations often comprise manual effort, because the movement of goods and material places stringent requirements on the interactions between different systems, human-computer/robot-interaction as well as on changes in the operative processes. In general, the introduction and uptake of new enabling technologies, like the IoT, in complex systems evolved over decades, are challenging. The experience has shown that it is hard to assess all restrictions and interactions between new and old components before any new equipment or infrastructure is implemented and put in operation. This paper presents and discusses the usage of digital twins for supporting the decision-making processes in two different areas: Workstation design and logistics operation analysis. The results are based on tests and experiments carried out in a production logistics test-bed that includes physical devices, an IoT-infrastructure and simulation software. The digital twin is realised in a combination of using Unity and the simulation software IPS. The primary results show that there is no one-size fit all in terms of granularity of the underlying simulation model as well as for the reduction of reality in the digital twin, but the results also indicate that a context-aware digital twin supports the decision-making within a given scope.

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“…Changes in occupational practices, such as the digitalization of work, the specific requirements for workplace performance and the needs of working life, such as available work, how work is conducted and work practices, periodically prompt reappraisals of the goals and processes of vocational education (Billett, 2006). In the contemporary era of digitalization, there is a growing governmental concern about vocational education achieving what is been referred to as 21 st century skills: emphasizes the importance of i) complex problem-solving, ii) critical thinking, iii) creativity, iv) people management and v) coordination (Nokelainen, Nevalinen, & Niemi, 2018). Emphasized also is the development of the knowledge required to participate in work that has become increasingly digitized (Harteis, 2018a).…”

Section: Changing Occupational and Workplace Requirementsmentioning

confidence: 99%

Vocational Education and Training in the Age of Digitization

Wuttke¹,

Seifried²,

Niegemann³

2020

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The increasing digitization of the world of work is associated with accelerated structural changes. These are connected with changed qualification profiles and thus new challenges for vocational education and training (VET). Companies, vocational schools and other educational institutions must respond appropriately. The volume focuses on the diverse demands placed on teachers, learners and educational institutions in vocational education and training and aims to provide up-to-date results on learning in the digital age.

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Mind or Machine? Opportunities and Limits of Automation

Cited by 28 publications

References 19 publications

The Concept of a Digital Twin and Its Potential for Learning Organizations

The Concept of a Digital Twin and Its Potential for Learning Organizations

Employing digital twins within production logistics

Vocational Education and Training in the Age of Digitization

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