@inproceedings{KoenigWolf2016,
  author    = {K{\"o}nig, Johannes Alexander and Wolf, Martin},
  title     = {A new definition of competence developing games - and a framework to assess them},
  series = {ACHI 2016 : The Ninth International Conference on Advances in Computer-Human Interactions},
  booktitle = {ACHI 2016 : The Ninth International Conference on Advances in Computer-Human Interactions},
  isbn      = {978-1-61208-468-8},
  pages     = {95 -- 97},
  year      = {2016},
  abstract  = {There are different types of games that try to make use of the motivation of a gaming situation in learning contexts. This paper introduces the new terminology 'Competence Developing Game' (CDG) as an umbrella term for all games with this intention. Based on this new terminology, an assessment framework has been developed and validated in scope of an empirical study. Now, all different types of CDGs can be evaluated according to a defined and uniform set of assessment criteria and, thus, are comparable according to their characteristics and effectiveness.},
  language  = {en}
}
@inproceedings{WolfKoenig2017,
  author    = {Wolf, Martin and K{\"o}nig, Johannes Alexander},
  title     = {Competence Developing Games - Ein {\"U}berblick},
  series = {INFORMATIK 2017, Lecture Notes in Informatics (LNI), Gesellschaft f{\"u}r Informatik},
  booktitle = {INFORMATIK 2017, Lecture Notes in Informatics (LNI), Gesellschaft f{\"u}r Informatik},
  editor    = {Eibl, Maximilian and Gaedke, Martin},
  organization    = {Gesellschaft f{\"u}r Informatik},
  isbn      = {978-3-88579-669-5},
  doi       = {10.18420/in2017_32},
  pages     = {385 -- 391},
  year      = {2017},
  abstract  = {Es existieren verschiedenste Arten von Spielen, die versuchen, die Motivation einer Spielsituation in einen ernsten Kontext zu {\"u}berf{\"u}hren. In diesem Artikel wird der {\"U}berbegriff „Competence Developing Games" definiert und anhand von Beispielen erl{\"a}utert. Daf{\"u}r werden Erkennungskriterien vorgestellt, entsprechende Spieltypen erl{\"a}utert und eine Zuordnung durch-gef{\"u}hrt.},
  language  = {de}
}
@inproceedings{DowidatKoenigWolf2017,
  author    = {Dowidat, Linda and K{\"o}nig, Johannes Alexander and Wolf, Martin},
  title     = {The motivational competence developing game framework},
  series = {Mensch und Computer 2017 - Tagungsband},
  booktitle = {Mensch und Computer 2017 - Tagungsband},
  publisher = {Gesellschaft f{\"u}r Informatik e.V.},
  address   = {Regensburg},
  doi       = {10.18420/muc2017-mci-0130},
  pages     = {15 -- 26},
  year      = {2017},
  abstract  = {Competence Developing Games (CDGs) are a new concept of how to think about games with serious intentions. In order to emphasize on this topic, a new framework has been developed. It basically relies on learning and motivation theories. This 'motivational Competence Developing Game Framework' demonstrates how it is possible to use these theories in a CDG development process. The theoretical derivation and use of the framework is explained in this paper.},
  language  = {en}
}
@inproceedings{UlmerBraunChengetal.2021,
  author    = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Adapting Augmented Reality Systems to the users' needs using Gamification and error solving methods},
  series = {Procedia CIRP},
  volume    = {104},
  booktitle = {Procedia CIRP},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2212-8271},
  doi       = {10.1016/j.procir.2021.11.024},
  pages     = {140 -- 145},
  year      = {2021},
  abstract  = {Animations of virtual items in AR support systems are typically predefined and lack interactions with dynamic physical environments. AR applications rarely consider users' preferences and do not provide customized spontaneous support under unknown situations. This research focuses on developing adaptive, error-tolerant AR systems based on directed acyclic graphs and error resolving strategies. Using this approach, users will have more freedom of choice during AR supported work, which leads to more efficient workflows. Error correction methods based on CAD models and predefined process data create individual support possibilities. The framework is implemented in the Industry 4.0 model factory at FH Aachen.},
  language  = {en}
}
@inproceedings{UlmerBraunChengetal.2022,
  author    = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Usage of digital twins for gamification applications in manufacturing},
  series = {Procedia CIRP},
  volume    = {107},
  booktitle = {Procedia CIRP},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2212-8271},
  doi       = {10.1016/j.procir.2022.05.044},
  pages     = {675 -- 680},
  year      = {2022},
  abstract  = {Gamification applications are on the rise in the manufacturing sector to customize working scenarios, offer user-specific feedback, and provide personalized learning offerings. Commonly, different sensors are integrated into work environments to track workers' actions. Game elements are selected according to the work task and users' preferences. However, implementing gamified workplaces remains challenging as different data sources must be established, evaluated, and connected. Developers often require information from several areas of the companies to offer meaningful gamification strategies for their employees. Moreover, work environments and the associated support systems are usually not flexible enough to adapt to personal needs. Digital twins are one primary possibility to create a uniform data approach that can provide semantic information to gamification applications. Frequently, several digital twins have to interact with each other to provide information about the workplace, the manufacturing process, and the knowledge of the employees. This research aims to create an overview of existing digital twin approaches for digital support systems and presents a concept to use digital twins for gamified support and training systems. The concept is based upon the Reference Architecture Industry 4.0 (RAMI 4.0) and includes information about the whole life cycle of the assets. It is applied to an existing gamified training system and evaluated in the Industry 4.0 model factory by an example of a handle mounting.},
  language  = {en}
}