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Envisioning Social Assistive Robotics in Long-term Care Settings: Insights and Challenges arising within a PRAXLAB

Elisabeth Raß, Gesellschaft für digitalisierte und nachhaltige Zusammenarbeit gGmbH
David Unbehaun, Gesellschaft für digitalisierte und nachhaltige Zusammenarbeit gGmbH & University of Siegen, Germany
Volker Wulf, Gesellschaft für digitalisierte und nachhaltige Zusammenarbeit gGmbH & University of Siegen, Germany
Gaby Lenz, University of Applied Sciences Kiel
Anny Fischer, University of Applied Sciences Kiel
Hannes Eilers, University of Applied Sciences Kiel
Jens Lüssem, University of Applied Sciences Kiel

Abstract: In this work, we report our early insights from a three-years research project “ROBUST” that is focussed on designing and implementing social assistive robotics in care-settings to promote health prevention, foster activity for care-residents and support workflows for professional caregivers. In ROBUST we adapted the PRAXLAB methodology as holistic, human-centred long-term co-design research infrastructures in real-life environments (four care-facilities) and, therefore, involved actors to identify the existing practices and the associated challenges.

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Exploratory Paper: An interdisciplinary perspective on designing a sociotechnical assistance system that is conducive to learning

Norbert Huchler, Institute for Social Science Research (ISF Munich)
Ingmar Kessler, fortiss – research institute of the Free State of Bavaria for
software-intensive systems
Florian Lay, German Aerospace Center
Alexander Perzylo, fortiss – research institute of the Free State of Bavaria for
software-intensive systems
Michael Seidler, Institute for Social Science Research (ISF Munich)
Franz Steinmetz, German Aerospace Center

Abstract:
The development of a collaborative robot system is the starting point of our research interest. We take it as an opportunity to think meaningfully about how a socio-technical assistance system must be designed under the consideration of being conducive to learning. In this research, we face various negotiation spaces: For example, the development of the social-technical assistance system must consider the managers’ and engineers’ expectations, algorithmic task allocation to human workers and/or robots, and the workers’ autonomy. Further, we continuously reflect upon our own negotiation spaces between social sciences and engineering in our project.

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Experiences of Co-Creative Development within Co-Care Settings

Mathias Klingner, University of Applied Sciences Dresden, Germany
Stefan Vogt, University of Applied Sciences Dresden, Germany
Robert Erzgräber, University of Applied Sciences Dresden, Germany
Christian Bruchatz, University of Applied Sciences Dresden, Germany
Frank Bahrmann, University of Applied Sciences Dresden, Germany
Catharina Wasic, University Hospital Erlangen, Germany
Manja Unger-Büttner, University of Applied Sciences Dresden
Undine von Gahlen, Cultus gGmbH
Elmar Graessel, University Hospital Erlangen, Germany
Hans-Joachim Böhme, University of Applied Sciences Dresden, Germany

Abstract: Future care systems are expected to be heavily supported by artificial intelligence and robotics. In this positional paper we present field observations of two learning spaces within our AI/robotic-assisted health care living lab. As groups of stakeholders in such care environments are the same with common expectations and concerns, fundamental insights like the necessity of transparent communication and a participatory design process can be transferred between specific spaces. Subsequently, we display our approach for two different environments: nursing home and SMART CO-CARE apartment.

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Financial and Work Process related Perspectives of Social Robots in Care Settings

Felix Carros, University of Siegen, Germany
Adrian Preussner, University of Siegen, Germany
Mehrbod Manavi, University of Siegen, Germany
Isabel Schwaninger, TU Wien, Austria

Abstract: Research on social robots in care environments is happening since decades, yet the robots are rarely seen in care homes, despite the increasing pressure on the sector. With this submission we want to show financial and work process related perspectives of robotic systems in care environments. Our findings originate from 66 interviews with stakeholders from the care sector. We present and discuss dimensions of help for care workers through robotic systems with the according visions of stakeholders and financial aspects of the robot usage.

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Social Design Interactions and Learning with Robots

Tangni C. Dahl-Jørgensen, Department of Computer Science, Norwegian University of Science and Technology

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Technical Learning with Vulnerable Groups to Optimize Quality of Life in the Care Situation: the Example of Assistive Robotics for Neuromuscular Diseases (NMD)

Felix Tirschmann, Research Group Health – Technology – Ethics, Protestant University of Applied Sciences Ludwigsburg, Ludwigsburg, Germany
Robert Klebbe, Research Group Geriatrics, Charité – University Medicine Berlin, Berlin, Germany
Cornelia Eicher, Research Group Geriatrics, Charité – University Medicine Berlin, Berlin, Germany
Kirsten Brukamp, Research Group Health – Technology – Ethics, Protestant University of Applied Sciences Ludwigsburg, Ludwigsburg, Germany

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