Human Machine Cooperation (HMC)
Which technical innovations are relevant for humans? And how can humans meaningfully cooperate with machines to ensure that tasks are carried out better overall?
In addition to this, a key question is how humans can meaningfully cooperate with machines to ensure that tasks are carried out better overall. Both humans and machines can contribute to fi nd a solution. Good illustrations of this can be found in medicine. When carrying out diffi cult operations, for example on the human brain, virtual assistance systems can be used to provide the surgeon with important additional information – where exactly is the tumor; where are critical constrictions that require particular care?
In the intensive care, machines handle monitoring of patients’ vital signs, with medical personnel reacting accordingly. Empirical studies have, however, shown that numerous visual and acoustic alarm signals can be problematic since it is rarely necessary for personnel to actually intervene. In such cases the flow of information in not helpful but rather can be dangerous because it causes over-familiarization. A mere parallel existence of humans and machines can thus lead to a negative outcome. Human-machine cooperation is a better option, with the machines condensing information to generate a useful overall picture from many single parameters. Intuitive displays could then enable nursing personnel to quickly recognize whether patients are doing well or not.
Interactive systems are already being used in many diff erent environments today. In transportation modes such as cars, planes, or ships; in devices such as smartphones, tablets, or wearables; and in control rooms and voice-controlled devices. Conventional input and output modalities such as keyboards or monitors are increasingly being replaced by so-called »multimodal user interfaces« that incorporate multiple sensory channels. Intelligent assistants facilitate contextsensitive use and interaction with real objects in our daily environment. Ambient lighting can, for example, today be controlled using a smart device; acoustic signal, or voice command.
Depending on the application context, human-machine interaction and cooperation is subject to specifi c requirements regarding fitness for purpose; user-friendliness; acceptance; robustness; and security. Correspondingly, the Human Machine Cooperation competence cluster uses a variety of analysis, development, and evaluation methods to design and validate interactive or cooperative systems. Application focuses are, for example, assistive systems in vehicles, ships, healthcare, medicine, and personal health.
Persons 
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Dr. Ing. Larbi Abdenebaoui
E-Mail: larbi.abdenebaoui(at)offis.de, Phone: +49 441 9722-730, Room: E126
Pedro Fernando Arizpe Gomez
E-Mail: PedroFernando.ArizpeGomez(at)offis.de, Phone: +49 441 9722-741, Room: E66
B
Dr.-Ing. Dietrich Boles
E-Mail: dietrich.boles(at)uni-oldenburg.de, Phone: 0441/9722-212, Room: E 105
Prof. Dr. techn. Susanne Boll-Westermann
E-Mail: susanne.boll(at)informatik.uni-oldenburg.de, Phone: +49 441 9722-213, Room: O 47
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Dr. rer. nat. Marco Eichelberg
E-Mail: marco.eichelberg(at)offis.de, Phone: +49 441 9722-147, Room: E46
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Dr. rer. nat. Andreas Lüdtke
E-Mail: andreas.luedtke(at)offis.de, Phone: +49 441 9722-530, Room: D106
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Dr.-Ing. Frerk Müller-von Aschwege
E-Mail: Frerk.Mueller-von.Aschwege(at)offis.de, Phone: +49 441 9722-146, Room: E50
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Projects
F
Future Laboratory Society and Work
Duration: 2020 - 2024
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MeBeSafe
Measures for Behaving Safely in Traffic (sorry - only available in German)
Duration: 2017 - 2020O
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STEP-UP
Smart technologies for standard-compliant process control and worker support in adhesive manufacturing processes
Duration: 2019 - 2021 Publications
2020
A Generalized User Interface Concept to enable Restrospective System Analysis in Monitoring Systems
Viviane Herdel, Bertram Wortelen, Mathias Lanezki, Andreas Lüdtke; Proceedings of 22nd International Conference on Human-Computer Interaction; 19-24 July / 2020
A Life of Data: Characteristics and Challenges of Very Long Term Self-Tracking for Health and Wellness
Meyer, Jochen and Kay, Judy and Epstein, Daniel A. and Eslambolchilar, Parisa and Tang, Lie Ming; ACM Trans. Comput. Healthcare; March / 2020
Challenges for Integrating Humans into Vehicular Cyber-Physical Systems
Sowe, Sulayman K. and Fränzle, Martin and Osterloh, Jan Patrick and Trende, Alexander and Weber, Lars and Lüdtke, Andreas; Lecture Notes in Computer Science - Software Engineering and Formal Methods - SEFM 2019 Collocated Workshops: CoSim-CPS, ASYDE, CIFMA, and FOCLASA, Oslo, Norway, September 16–20, 2019, Revised Selected Papers; 2020
Efficient Exploration of Long Data Series: A Data Event-driven HMI Concept
Bertram Wortelen, Viviane Herdel, Oliver Pfeiffer, Marie-Christin Harre, Marcel Saager, Mathias Lanezki; Proceedings of 22nd International Conference on Human-Computer Interaction (Extended Abstracts); 19-24 July / 2020
2019
ChalkboARd: Exploring Augmented Reality for Public Displays
Gruenefeld, Uwe and Wolff, Torge and Diekmann, Niklas and Koelle, Marion and Heuten, Wilko; Proceedings of the 8th ACM International Symposium on Pervasive Displays; 06 / 2019
Challenges for Integrating Humans into Vehicular Cyber-Physical Systems
Sulayman K. Sowe and Martin Fränzle and Jan-Patrick Osterloh and Alexander Trende and Lars Weber and Andreas Lüdtke; Proceedings of 3rd Workshop on Formal Co-Simulation of Cyber-Physical Systems (CoSim-CPS-19); 2019
Classifying Sensitive Issues for Patients with Neurodevelopmental Disorders
Wallbaum, Torben and Stratmann, Tim Claudius and Boll, Susanne; Human-Computer Interaction – INTERACT 2019; 2019
Comparing Techniques for Visualizing Moving Out-of-View Objects in Head-mounted Virtual Reality
Uwe Gruenefeld, Ilja Koethe, Daniel Lange, Sebastian Weiss, Wilko Heuten; 26th IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR); 03 / 2019
Comparing Unimodal Lane Keeping Cues for Child Cyclists
Matviienko, Andrii and Ananthanarayan, Swamy and Brewster, Stephen and Heuten, Wilko and Boll, Susanne; Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia; 2019
Dynamic Bayesian networks for driver-intention recognition based on the traffic situation
Eilers, Mark and Fathiazar, Elham and Suck, Stefan and Twumasi, Daniel; Cooperative Intelligent Transport Systems: Towards High-Level Automated Driving; 09 / 2019
