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Identifying Social Context Factors Relevant for a Robotic Elderly Assistant

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Social Robotics (ICSR 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11876))

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Abstract

Social robots are envisioned to support elderly people in their daily lives. To interact in a socially competent way with its users a Robotic Elderly Assistant (REA), just as any other social robot, should consider the full social context of the situation in which it is interacting. In this paper, we investigate how to identify important factors that are relevant to distinguish social situations. Our study aims at determining social context factors that are important for a REA to consider when deciding when and how to deliver a message. Therefore, we describe the creation of video-based stimuli that were used in an interview study with senior users (n = 8). Our results suggest that the content of the message and certain factors of the social situation are important for the decisions of elderly users. They can serve as a basis for future studies that will further investigate social context modelling.

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Acknowledgements

We thank the inhabitants and staff of the Elisenstift in Schillingsfuerst for their help in recording the videos. We thank Thomas Zatloukal for his help in organizing the interviews and establishing contact with the participants, and the inhabitants of the elderly care home of Arbeiterwohlfahrt Wuerzburg for taking part in the interviews.

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Authors and Affiliations

  1. Human-Computer Interaction, University of Wuerzburg, Wuerzburg, Germany

    Birgit Lugrin & Svenja Hahn

  2. iTec Chair for Individual and Technology, RWTH Aachen University, 52078, Aachen, Germany

    Astrid Rosenthal-von der Pütten

Authors
  1. Birgit Lugrin
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  2. Astrid Rosenthal-von der Pütten
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  3. Svenja Hahn
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Corresponding author

Correspondence to Birgit Lugrin .

Editor information

Editors and Affiliations

  1. Robotics Lab, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Miguel A. Salichs

  2. The National University of Singapore, Singapore, Singapore

    Shuzhi Sam Ge

  3. Faculty of Industrial Design, Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Emilia Ivanova Barakova

  4. Mechanical & Industrial, Qatar University, Doha, Qatar

    John-John Cabibihan

  5. Department of Aerospace Engineering, The Pennsylvania State University, University Park, PA, USA

    Alan R. Wagner

  6. Robotics Lab - Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Leganés, Madrid, Spain

    Álvaro Castro-González

  7. Wichita State University, Wichita, KS, USA

    Hongsheng He

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Lugrin, B., Rosenthal-von der Pütten, A., Hahn, S. (2019). Identifying Social Context Factors Relevant for a Robotic Elderly Assistant. In: Salichs, M., et al. Social Robotics. ICSR 2019. Lecture Notes in Computer Science(), vol 11876. Springer, Cham. https://doi.org/10.1007/978-3-030-35888-4_52

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  • DOI: https://doi.org/10.1007/978-3-030-35888-4_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35887-7

  • Online ISBN: 978-3-030-35888-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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