@inproceedings{11166,
  abstract     = {{n order to utilize the full potential of an assembly assistant, it is necessary for the system to be able to adapt to the worker’s individual needs and capabilities. The required amount of necessary assistance changes during the assembly work because the worker memorizes the steps and learns the task and might be bothered by unnecessary assistance. Finding the point in time where the learning phase of the worker is finished is therefore an important aspect. In this work, we propose and evaluate a novel method to identify the end of the worker’s learning phase. The method makes use of learning curve models and curve fitting in order to determine the progress of the worker.}},
  author       = {{Sehr, Philip and Moriz, Natalia and Heinz-Jakobs, Mario and Trsek, Henning}},
  booktitle    = {{2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  isbn         = {{9781665499965}},
  location     = {{Stuttgart}},
  publisher    = {{IEEE}},
  title        = {{{Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems}}},
  doi          = {{10.1109/ETFA52439.2022.9921676}},
  year         = {{2022}},
}

@misc{12810,
  abstract     = {{Recent studies on assistance systems show that adaptive support for users is becoming increasingly important, as this is a promising approach to ensure acceptance, learning support, and appropriate assistance in the long term. Developers of assistance systems are therefore faced with the challenge of designing various dimensions of adaptivity in such a way that they are conducive to acceptance and support. In this paper, we consider the different dimensions and options for the adaptation of assembly assistance and present the results of a first survey to investigate users' expectations regarding the adaptability of assembly assistance systems. Our evaluation shows that users have clear preferences concerning the control over adaptation and adaptation goals, while other aspects of adaptation assistance do not indicate a clear tendency. The results of this survey should serve as a decision support in the design phase of adaptive assistance systems to choose between different implementation options and concepts.}},
  author       = {{Heinz-Jakobs, Mario and Oestreich, Hendrik and Wrede, Sebastian and Röcker, Carsten}},
  booktitle    = {{2022 15th International Conference on Human System Interaction (HSI)}},
  editor       = {{De Silva, Daswin and Ruminski , Jacek  and Manic, Milos }},
  issn         = {{978-1-6654-6823-7}},
  keywords     = {{adaptivity, assistance systems, survey, human-centred design, interaction design, self-adaptive systems}},
  location     = {{Melbourne, AUSTRALIA}},
  publisher    = {{IEEE}},
  title        = {{{User Expectations Regarding Design Dimensions of Adapative Assistance Systems}}},
  doi          = {{10.1109/hsi55341.2022.9869509}},
  year         = {{2022}},
}

@inproceedings{11157,
  abstract     = {{In production environments, manual assembly is often used, when there is a high demand for flexibility which needs to be met economically. In this circumstance, assembly assistance systems are often used to ensure production standards. However, the individual requirements of each worker call for a way for the system to adapt towards the workers needs. This often requires modelling and configuration effort to include expert knowledge into an assistance system. This hinders an economical operation in an industrial environment. In this paper, an approach is presented, facilitating methods of online modelling, to generate a model, which represents the workers behavior during an assembly process. This behavior model is then used to deduce suitable adaptive assembly assistance in real time.}},
  author       = {{Sehr, Philip and Moriz, Natalia and Heinz-Jakobs, Mario and Trsek, Henning}},
  booktitle    = {{2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  isbn         = {{978-1-7281-2990-7}},
  location     = {{Vasteras, Sweden }},
  publisher    = {{IEEE}},
  title        = {{{Model-based approach for adaptive assembly assistance}}},
  doi          = {{10.1109/ETFA45728.2021.9613614}},
  year         = {{2021}},
}