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743.
Larson, I.; Schwermer, K.; Handmann, Uwe
Digital4u: Finde deinen Traumberuf! Artikel
In: Schulwelt NRW, 2021, ISSN: 2626-823X.
@article{SchulWeltNRW2021,
title = {Digital4u: Finde deinen Traumberuf!},
author = {I. Larson and K. Schwermer and Uwe Handmann},
issn = {2626-823X},
year = {2021},
date = {2021-09-01},
urldate = {2021-09-01},
journal = {Schulwelt NRW},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
742.
Ali, Omair; Saif-ur-Rehman, Muhammad; Dyck, Susanne; Glasmachers, Tobias; Iossifidis, Ioannis; Klaes, Christian
Anchored-STFT and GNAA: An Extension of STFT in Conjunction with an Adversarial Data Augmentation Technique for the Decoding of Neural Signals Artikel
In: arXiv:2011.14694 [cs, q-bio], 2021.
@article{aliAnchoredSTFTGNAAExtension2021,
title = {Anchored-STFT and GNAA: An Extension of STFT in Conjunction with an Adversarial Data Augmentation Technique for the Decoding of Neural Signals},
author = {Omair Ali and Muhammad Saif-ur-Rehman and Susanne Dyck and Tobias Glasmachers and Ioannis Iossifidis and Christian Klaes},
year = {2021},
date = {2021-08-01},
urldate = {2021-08-01},
journal = {arXiv:2011.14694 [cs, q-bio]},
abstract = {Brain-computer interfaces (BCIs) enable communication between humans and machines by translating brain activity into control commands. Electroencephalography (EEG) signals are one of the most used brain signals in non-invasive BCI applications but are often contaminated with noise. Therefore, it is possible that meaningful patterns for classifying EEG signals are deeply hidden. State-of-the-art deep-learning algorithms are successful in learning hidden, meaningful patterns. However, the quality and the quantity of the presented inputs is pivotal. Here, we propose a novel feature extraction method called anchored Short Time Fourier Transform (anchored-STFT), which is an advanced version of STFT, as it minimizes the trade-off between temporal and spectral resolution presented by STFT. In addition, we propose a novel augmentation method, called gradient norm adversarial augmentation (GNAA). GNAA is not only an augmentation method but is also used to harness adversarial inputs in EEG data, which not only improves the classification accuracy but also enhances the robustness of the classifier. In addition, we also propose a new CNN architecture, namely Skip-Net, for the classification of EEG signals. The proposed pipeline outperforms all state-of-the-art methods and yields an average classification accuracy of 90.7 % and 89.54 % on BCI competition II dataset III and BCI competition IV dataset 2b, respectively.},
keywords = {BCI, Machine Learning, Quantitative Biology, Quantitative Methods},
pubstate = {published},
tppubtype = {article}
}
Brain-computer interfaces (BCIs) enable communication between humans and machines by translating brain activity into control commands. Electroencephalography (EEG) signals are one of the most used brain signals in non-invasive BCI applications but are often contaminated with noise. Therefore, it is possible that meaningful patterns for classifying EEG signals are deeply hidden. State-of-the-art deep-learning algorithms are successful in learning hidden, meaningful patterns. However, the quality and the quantity of the presented inputs is pivotal. Here, we propose a novel feature extraction method called anchored Short Time Fourier Transform (anchored-STFT), which is an advanced version of STFT, as it minimizes the trade-off between temporal and spectral resolution presented by STFT. In addition, we propose a novel augmentation method, called gradient norm adversarial augmentation (GNAA). GNAA is not only an augmentation method but is also used to harness adversarial inputs in EEG data, which not only improves the classification accuracy but also enhances the robustness of the classifier. In addition, we also propose a new CNN architecture, namely Skip-Net, for the classification of EEG signals. The proposed pipeline outperforms all state-of-the-art methods and yields an average classification accuracy of 90.7 % and 89.54 % on BCI competition II dataset III and BCI competition IV dataset 2b, respectively.
741.
Doliwa, Sebastian; Hussain, Muhammad Ayaz; Sziburis, Tim; Iossifidis, Ioannis
Biologically Inspired Model for Timed Motion in Robotic Systems Artikel
In: arXiv:2106.15864 [cs, math], 2021.
@article{doliwaBiologicallyInspiredModel2021,
title = {Biologically Inspired Model for Timed Motion in Robotic Systems},
author = {Sebastian Doliwa and Muhammad Ayaz Hussain and Tim Sziburis and Ioannis Iossifidis},
year = {2021},
date = {2021-07-01},
urldate = {2021-07-01},
journal = {arXiv:2106.15864 [cs, math]},
abstract = {The goal of this work is the development of a motion model for sequentially timed movement actions in robotic systems under specific consideration of temporal stabilization, that is maintaining an approximately constant overall movement time (isochronous behavior). This is demonstrated both in simulation and on a physical robotic system for the task of intercepting a moving target in three-dimensional space. Motivated from humanoid motion, timing plays a vital role to generate a naturalistic behavior in interaction with the dynamic environment as well as adaptively planning and executing action sequences on-line. In biological systems, many of the physiological and anatomical functions follow a particular level of periodicity and stabilization, which exhibit a certain extent of resilience against external disturbances. A main aspect thereof is stabilizing movement timing against limited perturbations. Especially human arm movement, namely when it is tasked to reach a certain goal point, pose or configuration, shows a stabilizing behavior. This work incorporates the utilization of an extended Kalman filter (EKF) which was implemented to predict the target position while coping with non-linear system dynamics. The periodicity and temporal stabilization in biological systems was artificially generated by a Hopf oscillator, yielding a sinusoidal velocity profile for smooth and repeatable motion.},
keywords = {attractor dynamics approach, Autonomous robotics, Dynamical systems},
pubstate = {published},
tppubtype = {article}
}
The goal of this work is the development of a motion model for sequentially timed movement actions in robotic systems under specific consideration of temporal stabilization, that is maintaining an approximately constant overall movement time (isochronous behavior). This is demonstrated both in simulation and on a physical robotic system for the task of intercepting a moving target in three-dimensional space. Motivated from humanoid motion, timing plays a vital role to generate a naturalistic behavior in interaction with the dynamic environment as well as adaptively planning and executing action sequences on-line. In biological systems, many of the physiological and anatomical functions follow a particular level of periodicity and stabilization, which exhibit a certain extent of resilience against external disturbances. A main aspect thereof is stabilizing movement timing against limited perturbations. Especially human arm movement, namely when it is tasked to reach a certain goal point, pose or configuration, shows a stabilizing behavior. This work incorporates the utilization of an extended Kalman filter (EKF) which was implemented to predict the target position while coping with non-linear system dynamics. The periodicity and temporal stabilization in biological systems was artificially generated by a Hopf oscillator, yielding a sinusoidal velocity profile for smooth and repeatable motion.
740.
Sziburis, Tim; Nowak, Markus; Brunelli, Davide
Prototype Reduction on sEMG Data for Instance-Based Gesture Learning towards Real-Time Prosthetic Control: Proceedings Article
In: Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, S. 299–305, SCITEPRESS - Science and Technology Publications, Online Streaming, --- Select a Country ---, 2021, ISBN: 978-989-758-490-9.
@inproceedings{sziburisPrototypeReductionSEMG2021c,
title = {Prototype Reduction on sEMG Data for Instance-Based Gesture Learning towards Real-Time Prosthetic Control:},
author = {Tim Sziburis and Markus Nowak and Davide Brunelli},
url = {https://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0010327502990305},
doi = {10.5220/0010327502990305},
isbn = {978-989-758-490-9},
year = {2021},
date = {2021-03-26},
urldate = {2021-03-26},
booktitle = {Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies},
pages = {299--305},
publisher = {SCITEPRESS - Science and Technology Publications},
address = {Online Streaming, --- Select a Country ---},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
739.
Fidencio, Aline Xavier; Glasmachers, Tobias; Naro, Daniele
Application of Reinforcement Learning to a Mining System Proceedings Article
In: 2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI), S. 000111–000118, 2021.
@inproceedings{fidencioApplicationReinforcementLearning2021,
title = {Application of Reinforcement Learning to a Mining System},
author = {Aline Xavier Fidencio and Tobias Glasmachers and Daniele Naro},
doi = {10.1109/SAMI50585.2021.9378663},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI)},
pages = {000111--000118},
abstract = {Automation techniques have been widely applied in different industry segments, among others, to increase both productivity and safety. In the mining industry, with the usage of such systems, the operator can be removed from hazardous environments without compromising task execution and it is possible to achieve more efficient and standardized operation. In this work a study case on the application of machine learning algorithms to a mining system example is presented, in which reinforcement learning algorithms were used to solve a control problem. As an example, a machine chain consisting of a Bucket Wheel Excavator, a Belt Wagon and a Hopper Car was used. This system has two material transfer points that need to remain aligned during operation in order to allow continuous material flow. To keep the alignment, the controller makes use of seven degrees of freedom given by slewing, luffing and crawler drives. Experimental tests were done in a simulated environment with two state-of-the-art algorithms, namely Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC). The trained agents were evaluated in terms of episode return and length, as well as alignment quality and action values used. Results show that, for the given task, the PPO agent performs quantitatively and qualitatively better than the SAC agent. However, none of the agents were able to completely solve the proposed testing task.},
keywords = {Control Applications, Industrial Application, Machine Learning, Machine learning algorithms, Mining Industry, Reinforcement learning},
pubstate = {published},
tppubtype = {inproceedings}
}
Automation techniques have been widely applied in different industry segments, among others, to increase both productivity and safety. In the mining industry, with the usage of such systems, the operator can be removed from hazardous environments without compromising task execution and it is possible to achieve more efficient and standardized operation. In this work a study case on the application of machine learning algorithms to a mining system example is presented, in which reinforcement learning algorithms were used to solve a control problem. As an example, a machine chain consisting of a Bucket Wheel Excavator, a Belt Wagon and a Hopper Car was used. This system has two material transfer points that need to remain aligned during operation in order to allow continuous material flow. To keep the alignment, the controller makes use of seven degrees of freedom given by slewing, luffing and crawler drives. Experimental tests were done in a simulated environment with two state-of-the-art algorithms, namely Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC). The trained agents were evaluated in terms of episode return and length, as well as alignment quality and action values used. Results show that, for the given task, the PPO agent performs quantitatively and qualitatively better than the SAC agent. However, none of the agents were able to completely solve the proposed testing task.
738.
Wehrmann, Maximilian; Zengeler, Nico; Handmann, Uwe
Observation Time Effects in Reinforcement Learning on Contracts for Difference Artikel
In: Journal of Risk and Financial Management, Bd. 14, Nr. 2:54, S. 1-15, 2021, ISSN: 1911-8074, (MDPI, Basel, Switzerland).
@article{Wehrmann2021,
title = {Observation Time Effects in Reinforcement Learning on Contracts for Difference},
author = {Maximilian Wehrmann and Nico Zengeler and Uwe Handmann},
url = {https://www.mdpi.com/1911-8074/14/2/54},
doi = {10.3390/jrfm14020054},
issn = {1911-8074},
year = {2021},
date = {2021-01-01},
journal = {Journal of Risk and Financial Management},
volume = {14},
number = {2:54},
pages = {1-15},
note = {MDPI, Basel, Switzerland},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
737.
Lehmler, Stephan Johann; Saif-ur-Rehman, Muhammad; Glasmachers, Tobias; Iossifidis, Ioannis
Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification Artikel
In: 2021.
@article{lehmler2021deep,
title = {Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification},
author = {Stephan Johann Lehmler and Muhammad Saif-ur-Rehman and Tobias Glasmachers and Ioannis Iossifidis},
url = {https://api.semanticscholar.org/CorpusID:245634948},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
keywords = {BCI, Computational Complexity, Deep Transfer-Learning, Machine Learning},
pubstate = {published},
tppubtype = {article}
}
736.
Arntz, Alexander; Eimler, Sabrina C.; Keßler, Dustin; Thomas, Jan; Helgert, André; Rehm, Markus; Graf, Eduard; Wientzek, Sebastian; Budur, Burak
Walking on the Bright Sight: Evaluating a Photovoltaics Virtual Reality Education Application Proceedings Article
In: 2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), S. 295-301, 2021.
@inproceedings{9644336,
title = {Walking on the Bright Sight: Evaluating a Photovoltaics Virtual Reality Education Application},
author = {Alexander Arntz and Sabrina C. Eimler and Dustin Keßler and Jan Thomas and André Helgert and Markus Rehm and Eduard Graf and Sebastian Wientzek and Burak Budur},
doi = {10.1109/AIVR52153.2021.00063},
year = {2021},
date = {2021-01-01},
booktitle = {2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)},
pages = {295-301},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
735.
Helgert, André; Eimler, Sabrina C.; Arntz, Alexander
Stop Catcalling - A Virtual Environment Educating Against Street Harassment Proceedings Article
In: 2021 International Conference on Advanced Learning Technologies (ICALT), S. 419-421, 2021.
@inproceedings{9499881,
title = {Stop Catcalling - A Virtual Environment Educating Against Street Harassment},
author = {André Helgert and Sabrina C. Eimler and Alexander Arntz},
doi = {10.1109/ICALT52272.2021.00133},
year = {2021},
date = {2021-01-01},
booktitle = {2021 International Conference on Advanced Learning Technologies (ICALT)},
pages = {419-421},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
734.
Helgert, André; Eimler, Sabrina C.; Arntz, Alexander
Learning About Catcalling: an Interactive Virtual Gallery Concept Raising Awareness for Street Harassment Proceedings Article
In: 2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), S. 287-294, 2021.
@inproceedings{9644282,
title = {Learning About Catcalling: an Interactive Virtual Gallery Concept Raising Awareness for Street Harassment},
author = {André Helgert and Sabrina C. Eimler and Alexander Arntz},
doi = {10.1109/AIVR52153.2021.00062},
year = {2021},
date = {2021-01-01},
booktitle = {2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)},
pages = {287-294},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
733.
Arntz, Alexander; Dia, Agostino Di; Riebner, Tim; Eimler, Sabrina C.
Machine Learning Concepts for Dual-Arm Robots within Virtual Reality Proceedings Article
In: 2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), S. 168-172, 2021.
@inproceedings{9644376,
title = {Machine Learning Concepts for Dual-Arm Robots within Virtual Reality},
author = {Alexander Arntz and Agostino Di Dia and Tim Riebner and Sabrina C. Eimler},
doi = {10.1109/AIVR52153.2021.00038},
year = {2021},
date = {2021-01-01},
booktitle = {2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)},
pages = {168-172},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
732.
Arntz, Alexander; Kessler, Dustin; Eimler, Sabrina C.
EnLighten: A Photovoltaics Learning Environment in Virtual Reality Proceedings Article
In: 2021 International Conference on Advanced Learning Technologies (ICALT), S. 221-223, 2021.
@inproceedings{9499737,
title = {EnLighten: A Photovoltaics Learning Environment in Virtual Reality},
author = {Alexander Arntz and Dustin Kessler and Sabrina C. Eimler},
doi = {10.1109/ICALT52272.2021.00072},
year = {2021},
date = {2021-01-01},
booktitle = {2021 International Conference on Advanced Learning Technologies (ICALT)},
pages = {221-223},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
731.
Arntz, Alexander; Eimler, Sabrina C.; Straßmann, Carolin; Hoppe, Heinz Ulrich
On the Influence of Autonomy and Transparency on Blame and Credit in Flawed Human-Robot Collaboration Proceedings Article
In: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, S. 377–381, Association for Computing Machinery, Boulder, CO, USA, 2021, ISBN: 9781450382908.
@inproceedings{10.1145/3434074.3447196,
title = {On the Influence of Autonomy and Transparency on Blame and Credit in Flawed Human-Robot Collaboration},
author = {Alexander Arntz and Sabrina C. Eimler and Carolin Straßmann and Heinz Ulrich Hoppe},
url = {https://doi.org/10.1145/3434074.3447196},
doi = {10.1145/3434074.3447196},
isbn = {9781450382908},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction},
pages = {377–381},
publisher = {Association for Computing Machinery},
address = {Boulder, CO, USA},
series = {HRI '21 Companion},
abstract = {The collaboration between humans and autonomous AI-driven robots in industrial contexts is a promising vision that will have an impact on the sociotechnical system. Taking research from the field of human teamwork as guiding principles as well as results from human robot collaboration studies this study addresses open questions regarding the design and impact of communicative transparency and behavioral autonomy in a human robot collaboration. In an experimental approach, we tested whether an AI-narrative and communication panels of a robot-arm trigger the attribution of more human like traits and expectations going along with a changed attribution of blame and failure in a flawed collaboration.},
keywords = {attribution of blame, human-robot collaboration, online study, perception of intelligence},
pubstate = {published},
tppubtype = {inproceedings}
}
The collaboration between humans and autonomous AI-driven robots in industrial contexts is a promising vision that will have an impact on the sociotechnical system. Taking research from the field of human teamwork as guiding principles as well as results from human robot collaboration studies this study addresses open questions regarding the design and impact of communicative transparency and behavioral autonomy in a human robot collaboration. In an experimental approach, we tested whether an AI-narrative and communication panels of a robot-arm trigger the attribution of more human like traits and expectations going along with a changed attribution of blame and failure in a flawed collaboration.
730.
Arntz, Alexander; Eimler, Sabrina C.; Hoppe, Heinz Ulrich
A Virtual Sandbox Approach to Studying the Effect of Augmented Communication on Human-Robot Collaboration Artikel
In: Frontiers in Robotics and AI, Bd. 8, 2021, ISSN: 2296-9144.
@article{10.3389/frobt.2021.728961,
title = {A Virtual Sandbox Approach to Studying the Effect of Augmented Communication on Human-Robot Collaboration},
author = {Alexander Arntz and Sabrina C. Eimler and Heinz Ulrich Hoppe},
url = {https://www.frontiersin.org/articles/10.3389/frobt.2021.728961},
doi = {10.3389/frobt.2021.728961},
issn = {2296-9144},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Frontiers in Robotics and AI},
volume = {8},
abstract = {Human-Robot Collaboration (HRC) has the potential for a paradigm shift in industrial production by complementing the strengths of industrial robots with human staff. However, exploring these scenarios in physical experimental settings is costly and difficult, e.g., due to safety considerations. We present a virtual reality application that allows the exploration of HRC work arrangements with autonomous robots and their effect on human behavior. Prior experimental studies conducted using this application demonstrated the benefits of augmenting an autonomous robot arm with communication channels on subjective aspects such as perceived stress. Motivated by current safety regulations that hinder HRC to expand its full potential, we explored the effects of the augmented communication on objective measures (collision rate and produced goods) within a virtual sandbox application. Explored through a safe and replicable setup, the goal was to determine whether communication channels that provide guidance and explanation on the robot can help mitigate safety hazards without interfering with the production effectiveness of both parties. This is based on the theoretical foundation that communication channels enable the robot to explain its action, helps the human collaboration partner to comprehend the current state of the shared task better, and react accordingly. Focused on the optimization of production output, reduced collision rate, and increased perception of safety, a between-subjects experimental study with two conditions (augmented communication vs non-augmented) was conducted. The results revealed a statistically significant difference in terms of production quantity output and collisions with the robot, favoring the augmented conditions. Additional statistically significant differences regarding self-reported perceived safety were found. The results of this study provide an entry point for future research regarding the augmentation of industrial robots with communication channels for safety purposes.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Human-Robot Collaboration (HRC) has the potential for a paradigm shift in industrial production by complementing the strengths of industrial robots with human staff. However, exploring these scenarios in physical experimental settings is costly and difficult, e.g., due to safety considerations. We present a virtual reality application that allows the exploration of HRC work arrangements with autonomous robots and their effect on human behavior. Prior experimental studies conducted using this application demonstrated the benefits of augmenting an autonomous robot arm with communication channels on subjective aspects such as perceived stress. Motivated by current safety regulations that hinder HRC to expand its full potential, we explored the effects of the augmented communication on objective measures (collision rate and produced goods) within a virtual sandbox application. Explored through a safe and replicable setup, the goal was to determine whether communication channels that provide guidance and explanation on the robot can help mitigate safety hazards without interfering with the production effectiveness of both parties. This is based on the theoretical foundation that communication channels enable the robot to explain its action, helps the human collaboration partner to comprehend the current state of the shared task better, and react accordingly. Focused on the optimization of production output, reduced collision rate, and increased perception of safety, a between-subjects experimental study with two conditions (augmented communication vs non-augmented) was conducted. The results revealed a statistically significant difference in terms of production quantity output and collisions with the robot, favoring the augmented conditions. Additional statistically significant differences regarding self-reported perceived safety were found. The results of this study provide an entry point for future research regarding the augmentation of industrial robots with communication channels for safety purposes.
729.
Baker, Nermeen Abou; Szabo-Müller, Paul; Handmann, Uwe
Transfer learning-based method for automated e-waste recycling in smart cities Artikel
In: EAI Endorsed Transactions on Smart Cities, Bd. 5, Nr. 16, S. 1-9, 2021.
@article{EAI-BakSzaHan2021,
title = {Transfer learning-based method for automated e-waste recycling in smart cities},
author = {Nermeen Abou Baker and Paul Szabo-Müller and Uwe Handmann},
url = {https://eudl.eu/pdf/10.4108/eai.16-4-2021.169337},
doi = {10.4108/eai.16-4-2021.169337},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {EAI Endorsed Transactions on Smart Cities},
volume = {5},
number = {16},
pages = {1-9},
publisher = {EAI},
keywords = {Artificial Intelligence, Automated E-Waste Recycling, Circular Economy, Smart Cities, transfer learning},
pubstate = {published},
tppubtype = {article}
}
728.
Baker, Nermeen Abou; Szabo-Müller, Paul; Handmann, Uwe
A Feature-Fusion Transfer Learning Method as a Basis to Support Automated Smartphone Recycling in a Circular Smart City Konferenz
Science and Technologies for Smart Cities - 6th EAI International Conference, SmartCity360, Virtual Event, December 2-4, 2020, Proceedings, Springer Nature, Cham, Switzerland, 2021, ISBN: 978-3-030-76063-2, (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, volume 372).
@conference{Springer-BakSzaHan2021,
title = {A Feature-Fusion Transfer Learning Method as a Basis to Support Automated Smartphone Recycling in a Circular Smart City},
author = {Nermeen Abou Baker and Paul Szabo-Müller and Uwe Handmann},
url = {https://link.springer.com/chapter/10.1007/978-3-030-76063-2_29},
doi = {10.1007/978-3-030-76063-2},
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pages = {422-441},
publisher = {Springer Nature},
address = {Cham, Switzerland},
note = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, volume 372},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
727.
Wafo, Franck; Mabou, Ivan Cedric; Heilmann, Dan; Zengeler, Nico; Handmann, Uwe
A Transfer Learning Evaluation of Deep Neural Networks Konferenz
IEEE 16th Conference on Industrial Electronics and Applications (ICIEA), 2021.
@conference{ICIEA-WafHanEtAl2021,
title = {A Transfer Learning Evaluation of Deep Neural Networks},
author = {Franck Wafo and Ivan Cedric Mabou and Dan Heilmann and Nico Zengeler and Uwe Handmann},
url = {https://ieeexplore.ieee.org/abstract/document/9516253},
doi = {10.1109/ICIEA51954.2021.9516253},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)},
pages = {1411-1416},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2020
726.
Nuñez, Tania Roxana; Radtke, Theda; Eimler, Sabrina C.
A third-person perspective on phubbing: Observing smartphone-induced social exclusion generates negative affect, stress, and derogatory attitudes Artikel
In: Cyberpsychology: Journal of Psychosocial Research on Cyberspace, Bd. 14, Nr. 3, 2020.
@article{Nunez2020,
title = {A third-person perspective on phubbing: Observing smartphone-induced social exclusion generates negative affect, stress, and derogatory attitudes},
author = {Tania Roxana Nuñez and Theda Radtke and Sabrina C. Eimler},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
journal = {Cyberpsychology: Journal of Psychosocial Research on Cyberspace},
volume = {14},
number = {3},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
725.
Nurhas, Irawan; Geisler, Stefan; Ojala, Arto; Pawlowski, Jan Martin
Towards a Wellbeing-driven System Design for Intergenerational Collaborative Innovation: A Literature Review Proceedings Article
In: Proceedings of the Annual Hawaii International Conference on System Sciences, 2020.
@inproceedings{Nurhas2020,
title = {Towards a Wellbeing-driven System Design for Intergenerational Collaborative Innovation: A Literature Review},
author = {Irawan Nurhas and Stefan Geisler and Arto Ojala and Jan Martin Pawlowski},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the Annual Hawaii International Conference on System Sciences},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
724.
Arntz, Alexander; Eimler, Sabrina C.
Experiencing AI in VR: a qualitative study on designing a human-machine collaboration scenario Proceedings Article
In: International Conference on Human-Computer Interaction, S. 299–307, 2020.
@inproceedings{Arntz2020,
title = {Experiencing AI in VR: a qualitative study on designing a human-machine collaboration scenario},
author = {Alexander Arntz and Sabrina C. Eimler},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {International Conference on Human-Computer Interaction},
pages = {299--307},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
723.
Arntz, Alexander; Eimler, Sabrina C.; Hoppe, Heinz Ulrich
Augmenting the Human-Robot Communication Channel in Shared Task Environments Proceedings Article
In: International Conference on Collaboration Technologies and Social Computing, S. 20–34, 2020.
@inproceedings{Arntz2020a,
title = {Augmenting the Human-Robot Communication Channel in Shared Task Environments},
author = {Alexander Arntz and Sabrina C. Eimler and Heinz Ulrich Hoppe},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {International Conference on Collaboration Technologies and Social Computing},
pages = {20--34},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
722.
Arntz, Alexander; Keßler, Dustin; Borgert, Nele; Zengeler, Nico; Jansen, Marc; Handmann, Uwe; Eimler, Sabrina C.
Navigating a Heavy Industry Environment Using Augmented Reality - A Comparison of Two Indoor Navigation Designs Konferenz
Virtual, Augmented and Mixed Reality - Industrial and Everyday Life Applications, 12th International Conference, VAMR 2020 - Held as Part of the 22nd HCI International Conference, HCII 2020, Springer Nature, Cham, Switzerland, 2020, ISBN: 978-3-030-49697-5.
@conference{Arntz2020c,
title = {Navigating a Heavy Industry Environment Using Augmented Reality - A Comparison of Two Indoor Navigation Designs},
author = {Alexander Arntz and Dustin Keßler and Nele Borgert and Nico Zengeler and Marc Jansen and Uwe Handmann and Sabrina C. Eimler},
url = {https://link.springer.com/chapter/10.1007/978-3-030-49698-2_1},
doi = {10.1007/978-3-030-49698-2_1},
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address = {Springer Nature, Cham, Switzerland},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
721.
Zengeler, Nico; Handmann, Uwe
Contracts for Difference: A Reinforcement Learning Approach Artikel
In: Journal of Risk and Financial Management - Special Issue 'AI and Financial Markets', Bd. 13, Nr. 4:78, S. 1-12, 2020, ISSN: 1911-8074, (MDPI, Basel, Switzerland).
@article{Zengeler2020a,
title = {Contracts for Difference: A Reinforcement Learning Approach},
author = {Nico Zengeler and Uwe Handmann},
url = {https://www.mdpi.com/1911-8074/13/4/78},
doi = {10.3390/jrfm13040078},
issn = {1911-8074},
year = {2020},
date = {2020-01-01},
journal = {Journal of Risk and Financial Management - Special Issue 'AI and Financial Markets'},
volume = {13},
number = {4:78},
pages = {1-12},
note = {MDPI, Basel, Switzerland},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
720.
Hussain, Muhammad Ayaz; Saif-ur-Rehman, Muhammad; Klaes, Christian; Iossifidis, Ioannis
Comparison of Anomaly Detection between Statistical Method and Undercomplete Proceedings Article
In: IEEE IInternational Congress on Big Data, S. 32–38, Los Angeles, USA, 2020.
@inproceedings{Hussain2020,
title = {Comparison of Anomaly Detection between Statistical Method and Undercomplete},
author = {Muhammad Ayaz Hussain and Muhammad Saif-ur-Rehman and Christian Klaes and Ioannis Iossifidis},
doi = {https://doi.org/10.1145/3404687.3404689},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {IEEE IInternational Congress on Big Data},
pages = {32--38},
address = {Los Angeles, USA},
keywords = {Anomaly Detection, Autoencoder, Machine Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
719.
Saif-ur-Rehman, Muhammad; Ali, Omair; Dyck, Susanne; Lienkämper, Robin; Metzler, Marita; Parpaley, Yaroslav; Wellmer, Jörg; Liu, Charles; Lee, Brian; Kellis, Spencer; Andersen, Richard; Iossifidis, Ioannis; Glasmachers, Tobias; Klaes, Christian
SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm Artikel
In: Journal of Neural Engineering, 2020.
@article{10.1088/1741-2552/abc8d4,
title = {SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm},
author = {Muhammad Saif-ur-Rehman and Omair Ali and Susanne Dyck and Robin Lienkämper and Marita Metzler and Yaroslav Parpaley and Jörg Wellmer and Charles Liu and Brian Lee and Spencer Kellis and Richard Andersen and Ioannis Iossifidis and Tobias Glasmachers and Christian Klaes},
url = {http://iopscience.iop.org/article/10.1088/1741-2552/abc8d4},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
journal = {Journal of Neural Engineering},
abstract = {Objective. Advancements in electrode design have resulted in micro-electrode arrays with hundreds of channels for single cell recordings. In the resulting electrophysiological recordings, each implanted electrode can record spike activity (SA) of one or more neurons along with background activity (BA). The aim of this study is to isolate SA of each neural source. This process is called spike sorting or spike classification. Advanced spike sorting algorithms are time consuming because of the human intervention at various stages of the pipeline. Current approaches lack generalization because the values of hyperparameters are not fixed, even for multiple recording sessions of the same subject. In this study, a fully automatic spike sorting algorithm called “SpikeDeep-Classifier” is proposed. The values of hyperparameters remain fixed for all the evaluation data. Approach. The proposed approach is based on our previous study (SpikeDeeptector) and a novel background activity rejector (BAR), which are both supervised learning algorithms and an unsupervised learning algorithm (K-means). SpikeDeeptector and BAR are used to extract meaningful channels and remove BA from the extracted meaningful channels, respectively. The process of clustering becomes straight-forward once the BA is completely removed from the data. Then, K-means with a predefined maximum number of clusters is applied on the remaining data originating from neural sources only. Lastly, a similarity-based criterion and a threshold are used to keep distinct clusters and merge similar looking clusters. The proposed approach is called cluster accept or merge (CAOM) and it has only two hyperparameters (maximum number of clusters and similarity threshold) which are kept fixed for all the evaluation data after tuning. Main Results. We compared the results of our algorithm with ground-truth labels. The algorithm is evaluated on data of human patients and publicly available labeled non-human primates (NHPs) datasets. The average accuracy of BAR on datasets of human patients is 92.3% which is further reduced to 88.03% after (K-means + CAOM). In addition, the average accuracy of BAR on a publicly available labeled dataset of NHPs is 95.40% which reduces to 86.95% after (K-mean + CAOM). Lastly, we compared the performance of the SpikeDeep-Classifier with two human experts, where SpikeDeep-Classifier has produced comparable results. Significance. The results demonstrate that “SpikeDeep-Classifier” possesses the ability to generalize well on a versatile dataset and henceforth provides a generalized well on a versatile dataset and henceforth provides a generalized and fully automated solution to offline spike sorting.},
keywords = {BCI, CNN, Machine Learning, Spike Sorting},
pubstate = {published},
tppubtype = {article}
}
Objective. Advancements in electrode design have resulted in micro-electrode arrays with hundreds of channels for single cell recordings. In the resulting electrophysiological recordings, each implanted electrode can record spike activity (SA) of one or more neurons along with background activity (BA). The aim of this study is to isolate SA of each neural source. This process is called spike sorting or spike classification. Advanced spike sorting algorithms are time consuming because of the human intervention at various stages of the pipeline. Current approaches lack generalization because the values of hyperparameters are not fixed, even for multiple recording sessions of the same subject. In this study, a fully automatic spike sorting algorithm called “SpikeDeep-Classifier” is proposed. The values of hyperparameters remain fixed for all the evaluation data. Approach. The proposed approach is based on our previous study (SpikeDeeptector) and a novel background activity rejector (BAR), which are both supervised learning algorithms and an unsupervised learning algorithm (K-means). SpikeDeeptector and BAR are used to extract meaningful channels and remove BA from the extracted meaningful channels, respectively. The process of clustering becomes straight-forward once the BA is completely removed from the data. Then, K-means with a predefined maximum number of clusters is applied on the remaining data originating from neural sources only. Lastly, a similarity-based criterion and a threshold are used to keep distinct clusters and merge similar looking clusters. The proposed approach is called cluster accept or merge (CAOM) and it has only two hyperparameters (maximum number of clusters and similarity threshold) which are kept fixed for all the evaluation data after tuning. Main Results. We compared the results of our algorithm with ground-truth labels. The algorithm is evaluated on data of human patients and publicly available labeled non-human primates (NHPs) datasets. The average accuracy of BAR on datasets of human patients is 92.3% which is further reduced to 88.03% after (K-means + CAOM). In addition, the average accuracy of BAR on a publicly available labeled dataset of NHPs is 95.40% which reduces to 86.95% after (K-mean + CAOM). Lastly, we compared the performance of the SpikeDeep-Classifier with two human experts, where SpikeDeep-Classifier has produced comparable results. Significance. The results demonstrate that “SpikeDeep-Classifier” possesses the ability to generalize well on a versatile dataset and henceforth provides a generalized well on a versatile dataset and henceforth provides a generalized and fully automated solution to offline spike sorting.
718.
Ali, Omair; Saif-ur-Rehman, Muhammad; Dyck, Susanne; Glasmachers, Tobias; Iossifidis, Ioannis; Klaes, Christian
Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation Artikel
In: arXiv preprint arXiv:2011.14694, 2020.
@article{ali2020improving,
title = {Improving the performance of EEG decoding using anchored-STFT in conjunction with gradient norm adversarial augmentation},
author = {Omair Ali and Muhammad Saif-ur-Rehman and Susanne Dyck and Tobias Glasmachers and Ioannis Iossifidis and Christian Klaes},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
journal = {arXiv preprint arXiv:2011.14694},
keywords = {Adversarial NN, BCI, EEG, Machine Learning},
pubstate = {published},
tppubtype = {article}
}
717.
Detjen, Henrik; Geisler, Stefan; Schneegass, Stefan
Implicit Cooperation: Emotion Detection for Validation and Adaptation of Automated Vehicles' Driving Behavior Artikel
In: arXiv preprint arXiv:2003.13044, 2020.
@article{Detjen2020,
title = {Implicit Cooperation: Emotion Detection for Validation and Adaptation of Automated Vehicles' Driving Behavior},
author = {Henrik Detjen and Stefan Geisler and Stefan Schneegass},
year = {2020},
date = {2020-01-01},
journal = {arXiv preprint arXiv:2003.13044},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
716.
Wehrmann, Maximilian; Zengeler, Nico; Handmann, Uwe
Observation Time Effects in Automatic Trading Artikel
In: 2020, (preprint on Researchgate).
@article{Wehrmann2020,
title = {Observation Time Effects in Automatic Trading},
author = {Maximilian Wehrmann and Nico Zengeler and Uwe Handmann},
url = {https://www.researchgate.net/publication/344654400_Observation_Time_Effects_in_Automatic_Trading},
year = {2020},
date = {2020-01-01},
note = {preprint on Researchgate},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
715.
Detjen, Henrik; Geisler, Stefan; Schneegass, Stefan
Maneuver-based Driving for Intervention in Autonomous Cars Artikel
In: arXiv preprint arXiv:2003.12496, 2020.
@article{Detjen2020a,
title = {Maneuver-based Driving for Intervention in Autonomous Cars},
author = {Henrik Detjen and Stefan Geisler and Stefan Schneegass},
year = {2020},
date = {2020-01-01},
journal = {arXiv preprint arXiv:2003.12496},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
714.
Küppers, Fabian; Kronenberger, Jan; Shantia, Amirhossein; Haselhoff, Anselm
Multivariate Confidence Calibration for Object Detection Artikel
In: arXiv preprint arXiv:2004.13546, 2020.
@article{Kueppers2020,
title = {Multivariate Confidence Calibration for Object Detection},
author = {Fabian Küppers and Jan Kronenberger and Amirhossein Shantia and Anselm Haselhoff},
year = {2020},
date = {2020-01-01},
journal = {arXiv preprint arXiv:2004.13546},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
713.
Straßmann, Carolin; Eimler, Sabrina C.; Arntz, Alexander; Grewe, Alina; Kowalczyk, Christopher; Sommer, Stefan
Receiving Robot's Advice: Does It Matter When and for What? Proceedings Article
In: International Conference on Social Robotics, S. 271–283, 2020.
@inproceedings{Strassmann2020,
title = {Receiving Robot's Advice: Does It Matter When and for What?},
author = {Carolin Straßmann and Sabrina C. Eimler and Alexander Arntz and Alina Grewe and Christopher Kowalczyk and Stefan Sommer},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {International Conference on Social Robotics},
pages = {271--283},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
712.
Straßmann, Carolin; Grewe, Alina; Kowalczyk, Christopher; Arntz, Alexander; Eimler, Sabrina C.
Moral robots? How uncertainty and presence affect humans' moral decision making Proceedings Article
In: International Conference on Human-Computer Interaction, S. 488–495, 2020.
@inproceedings{Strassmann2020a,
title = {Moral robots? How uncertainty and presence affect humans' moral decision making},
author = {Carolin Straßmann and Alina Grewe and Christopher Kowalczyk and Alexander Arntz and Sabrina C. Eimler},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {International Conference on Human-Computer Interaction},
pages = {488--495},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
711.
Straßmann, Carolin; Krämer, Nicole; Buschmeier, Hendrik; Kopp, Stefan
Age-Related Differences in the Evaluation of a Virtual Health Agent's Appearance and Embodiment in a Health-Related Interaction: Experimental Lab Study Artikel
In: Journal of Medical Internet Research, Bd. 22, Nr. 4, S. e13726, 2020.
@article{Strassmann2020b,
title = {Age-Related Differences in the Evaluation of a Virtual Health Agent's Appearance and Embodiment in a Health-Related Interaction: Experimental Lab Study},
author = {Carolin Straßmann and Nicole Krämer and Hendrik Buschmeier and Stefan Kopp},
year = {2020},
date = {2020-01-01},
journal = {Journal of Medical Internet Research},
volume = {22},
number = {4},
pages = {e13726},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
710.
Arntz, Alexander; Eimler, Sabrina C.; Keßler, Dustin; Nabokova, Aleksandra; Schädlich, Sylvia
Thermodynamics Reloaded: Experiencing Heating, Ventilation and Air Conditioning in AR Proceedings Article
In: 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), S. 319-322, 2020.
@inproceedings{9319087,
title = {Thermodynamics Reloaded: Experiencing Heating, Ventilation and Air Conditioning in AR},
author = {Alexander Arntz and Sabrina C. Eimler and Dustin Keßler and Aleksandra Nabokova and Sylvia Schädlich},
doi = {10.1109/AIVR50618.2020.00064},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)},
pages = {319-322},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
709.
Arntz, Alexander; Eimler, Sabrina C.; Hoppe, Heinz Ulrich
“The Robot-Arm Talks Back to Me” - Human Perception of Augmented Human-Robot Collaboration in Virtual Reality Proceedings Article
In: 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), S. 307-312, 2020.
@inproceedings{9319082,
title = {“The Robot-Arm Talks Back to Me” - Human Perception of Augmented Human-Robot Collaboration in Virtual Reality},
author = {Alexander Arntz and Sabrina C. Eimler and Heinz Ulrich Hoppe},
doi = {10.1109/AIVR50618.2020.00062},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)},
pages = {307-312},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
708.
Straßmann, Carolin; Arntz, Alexander; Eimler, Sabrina C.
Under The (Plastic) Sea - Sensitizing People Toward Ecological Behavior Using Virtual Reality Controlled by Users’ Physical Activity Proceedings Article
In: 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), S. 166-173, 2020.
@inproceedings{9319078,
title = {Under The (Plastic) Sea - Sensitizing People Toward Ecological Behavior Using Virtual Reality Controlled by Users’ Physical Activity},
author = {Carolin Straßmann and Alexander Arntz and Sabrina C. Eimler},
doi = {10.1109/AIVR50618.2020.00036},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)},
pages = {166-173},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
707.
Keßler, Dustin; Arntz, Alexander; Friedhoff, Joachim; Eimler, Sabrina C.
Mill Instructor: Teaching Industrial CNC Procedures Using Virtual Reality Proceedings Article
In: 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), S. 231-234, 2020.
@inproceedings{9319083,
title = {Mill Instructor: Teaching Industrial CNC Procedures Using Virtual Reality},
author = {Dustin Keßler and Alexander Arntz and Joachim Friedhoff and Sabrina C. Eimler},
doi = {10.1109/AIVR50618.2020.00048},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)},
pages = {231-234},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
706.
von der Pütten, Astrid Marieke Rosenthal; Straßmann, Carolin; Krämer, Nicole
Language Learning with Artificial Entities: Effects of an Artificial Tutor's Embodiment and Behavior on Users' Alignment and Evaluation Proceedings Article
In: International Conference on Social Robotics, S. 96–107, 2020.
@inproceedings{RosenthalvonderPuetten2020,
title = {Language Learning with Artificial Entities: Effects of an Artificial Tutor's Embodiment and Behavior on Users' Alignment and Evaluation},
author = {Astrid Marieke Rosenthal von der Pütten and Carolin Straßmann and Nicole Krämer},
year = {2020},
date = {2020-01-01},
booktitle = {International Conference on Social Robotics},
pages = {96--107},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2019
705.
Tatarek, Thorsten; Lingenauber, Niklas; Thomas, Jan; Kronenberger, Jan; Handmann, Uwe
Autonomes Fahren in Baustellen am Beispiel zweier moderner Fahrzeuge Artikel
In: Nr. internal report 19-01, 2019, ISSN: 2197-6953.
@article{Tatarek2019,
title = {Autonomes Fahren in Baustellen am Beispiel zweier moderner Fahrzeuge},
author = {Thorsten Tatarek and Niklas Lingenauber and Jan Thomas and Jan Kronenberger and Uwe Handmann},
url = {https://epflicht.ulb.uni-muenster.de/content/titleinfo/615892},
issn = {2197-6953},
year = {2019},
date = {2019-03-01},
number = {internal report 19-01},
address = {Bottrop, Germany},
school = {Institut Informatik, Hochschule Ruhr West},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
704.
Reuter, Christian; Mentler, Tilo; Nestler, Simon; Geisler, Stefan; Herczeg, Michael; Ludwig, Thomas; Pottebaum, Jens; Kaufhold, Marc-André
6. Workshop Mensch-Maschine-Interaktion in sicherheitskritischen Systemen-Neue digitale Realitäten Artikel
In: 2019.
@article{Reuter2019,
title = {6. Workshop Mensch-Maschine-Interaktion in sicherheitskritischen Systemen-Neue digitale Realitäten},
author = {Christian Reuter and Tilo Mentler and Simon Nestler and Stefan Geisler and Michael Herczeg and Thomas Ludwig and Jens Pottebaum and Marc-André Kaufhold},
year = {2019},
date = {2019-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
703.
Nuñez, Tania Roxana; Eimler, Sabrina C.
What if I Lost it? When the Mere Imagination of Smartphone Absence Causes Anxiety Artikel
In: 2019.
@article{Nunez2019,
title = {What if I Lost it? When the Mere Imagination of Smartphone Absence Causes Anxiety},
author = {Tania Roxana Nuñez and Sabrina C. Eimler},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
702.
Nurhas, Irawan; Aditya, Bayu Rima; Geisler, Stefan; Ojala, Arto; Pawlowski, Jan Martin
We are ``not'' too (young/old) to collaborate: Prominent Key Barriers to Intergenerational Innovation Proceedings Article
In: Pacific Asia Conference on Information Systems, 2019.
@inproceedings{Nurhas2019,
title = {We are ``not'' too (young/old) to collaborate: Prominent Key Barriers to Intergenerational Innovation},
author = {Irawan Nurhas and Bayu Rima Aditya and Stefan Geisler and Arto Ojala and Jan Martin Pawlowski},
year = {2019},
date = {2019-01-01},
booktitle = {Pacific Asia Conference on Information Systems},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
701.
Nurhas, Irawan; Aditya, Bayu Rima; Geisler, Stefan; Pawlowski, Jan Martin
Why Does Cultural Diversity Foster Technology-enabled Intergenerational Collaboration? Artikel
In: Procedia Computer Science, Bd. 161, S. 15–22, 2019.
@article{Nurhas2019a,
title = {Why Does Cultural Diversity Foster Technology-enabled Intergenerational Collaboration?},
author = {Irawan Nurhas and Bayu Rima Aditya and Stefan Geisler and Jan Martin Pawlowski},
year = {2019},
date = {2019-01-01},
journal = {Procedia Computer Science},
volume = {161},
pages = {15--22},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
700.
Nurhas, Irawan; Geisler, Stefan; Pawlowski, Jan Martin
Why Should the Q-method Be Integrated Into the Design Science Research? A Systematic Mapping Study Artikel
In: arXiv preprint arXiv:1908.05203, 2019.
@article{Nurhas2019b,
title = {Why Should the Q-method Be Integrated Into the Design Science Research? A Systematic Mapping Study},
author = {Irawan Nurhas and Stefan Geisler and Jan Martin Pawlowski},
year = {2019},
date = {2019-01-01},
journal = {arXiv preprint arXiv:1908.05203},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
699.
Nurhas, Irawan; Pawlowski, Jan Martin; Geisler, Stefan; Kovtunenko, Maria; Aditya, Bayu Rima
Group-centered framework towards a positive design of digital collaboration in global settings Artikel
In: arXiv preprint arXiv:1904.00107, 2019.
@article{Nurhas2019c,
title = {Group-centered framework towards a positive design of digital collaboration in global settings},
author = {Irawan Nurhas and Jan Martin Pawlowski and Stefan Geisler and Maria Kovtunenko and Bayu Rima Aditya},
year = {2019},
date = {2019-01-01},
journal = {arXiv preprint arXiv:1904.00107},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
698.
Nurhas, Irawan; Pawlowski, Jan Martin; Geisler, Stefan
Towards humane digitization: a wellbeing-driven process of personas creation Proceedings Article
In: Proceedings of the 5th International ACM In-Cooperation HCI and UX Conference, S. 24–31, 2019.
@inproceedings{Nurhas2019d,
title = {Towards humane digitization: a wellbeing-driven process of personas creation},
author = {Irawan Nurhas and Jan Martin Pawlowski and Stefan Geisler},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 5th International ACM In-Cooperation HCI and UX Conference},
pages = {24--31},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
697.
Murawski, Matthias; Bühler, Julian; Böckle, Martin; Pawlowski, Jan Martin; Bick, Markus
Social Media Information Literacy--What Does It Mean and How Can We Measure It? Proceedings Article
In: Conference on e-Business, e-Services and e-Society, S. 367–379, 2019.
@inproceedings{Murawski2019,
title = {Social Media Information Literacy--What Does It Mean and How Can We Measure It?},
author = {Matthias Murawski and Julian Bühler and Martin Böckle and Jan Martin Pawlowski and Markus Bick},
year = {2019},
date = {2019-01-01},
booktitle = {Conference on e-Business, e-Services and e-Society},
pages = {367--379},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
696.
Neumayr, Dominik; Bortis, Dominik; Kolar, Johann Walter; Hoffmann, Stefan; Hoene, Eckart
Origin and quantification of increased core loss in MnZn ferrite plates of a multi-gap inductor Artikel
In: CPSS Transactions on Power Electronics and Applications, Bd. 4, Nr. 1, S. 72–93, 2019.
@article{Neumayr2019,
title = {Origin and quantification of increased core loss in MnZn ferrite plates of a multi-gap inductor},
author = {Dominik Neumayr and Dominik Bortis and Johann Walter Kolar and Stefan Hoffmann and Eckart Hoene},
year = {2019},
date = {2019-01-01},
journal = {CPSS Transactions on Power Electronics and Applications},
volume = {4},
number = {1},
pages = {72--93},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
695.
Blankenbach, Karlheinz; Hertlein, Franziska; Hoffmann, Stefan
14-1: Invited Paper: Advances in Automotive Interior Lighting Proceedings Article
In: SID Symposium Digest of Technical Papers, S. 176–179, 2019.
@inproceedings{Blankenbach2019,
title = {14-1: Invited Paper: Advances in Automotive Interior Lighting},
author = {Karlheinz Blankenbach and Franziska Hertlein and Stefan Hoffmann},
year = {2019},
date = {2019-01-01},
booktitle = {SID Symposium Digest of Technical Papers},
volume = {50},
pages = {176--179},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
694.
Brandenberg, Gabriel; Ozimek, Phillip; Bierhoff, Hans-Werner
Ein Vergleich professioneller vs. privater Online-Netzwerke Artikel
In: 2019.
@article{Brandenberg2019,
title = {Ein Vergleich professioneller vs. privater Online-Netzwerke},
author = {Gabriel Brandenberg and Phillip Ozimek and Hans-Werner Bierhoff},
year = {2019},
date = {2019-01-01},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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