Identifying Social Context Factors Relevant for a Robotic Elderly Assistant

  • Birgit LugrinEmail author
  • Astrid Rosenthal-von der Pütten
  • Svenja Hahn
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11876)


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.


Social robot Elderly assistant Social context 



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.


  1. 1.
    Abowd, G.D., Dey, A.K., Brown, P.J., Davies, N., Smith, M., Steggles, P.: Towards a better understanding of context and context-awareness. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, pp. 304–307. Springer, Heidelberg (1999). Scholar
  2. 2.
    Bartl, A., Bosch, S., Brandt, M., Dittrich, M., Lugrin, B.: The influence of a social robot’s persona on how it is perceived and accepted by elderly users. In: Agah, A., Cabibihan, J.-J., Howard, A.M., Salichs, M.A., He, H. (eds.) ICSR 2016. LNCS (LNAI), vol. 9979, pp. 681–691. Springer, Cham (2016). Scholar
  3. 3.
    Böhle, K., Pfadenhauer, M.: Social robots call for social sciences. Sci. Technol. Innov. Stud. 10(1), 3–10 (2014). Scholar
  4. 4.
    Broadbent, E., Stafford, R., MacDonald, B.: Acceptance of healthcare robots for the older population: review and future directions. Int. J. Soc. Robot. 1(4), 319 (2009). Scholar
  5. 5.
    Burke, M.A., Young, P., Jackson, M.: Norms, Customs, and Conventions. Handbook for Social Economics. Elsevier, Amsterdam (2010)Google Scholar
  6. 6.
    Hammer, S., Lugrin, B., Bogomolov, S., Janowski, K., André, E.: Investigating politeness strategies and their persuasiveness for a robotic elderly assistant. In: Meschtscherjakov, A., De Ruyter, B., Fuchsberger, V., Murer, M., Tscheligi, M. (eds.) PERSUASIVE 2016. LNCS, vol. 9638, pp. 315–326. Springer, Cham (2016). Scholar
  7. 7.
    Riek, L.D., Robinson, P.: Challenges and opportunities in building socially intelligent machines [social sciences]. IEEE Signal Process. Mag. 28(3), 146–149 (2011). Scholar
  8. 8.
    Mast, M., et al.: User-centered design of a dynamic-autonomy remote interaction concept for manipulation-capable robots to assist elderly people in the home. J. Hum.-Robot Interact. 1(1), 96–118 (2012). Scholar
  9. 9.
    Xu, Q., et al.: The role of social context in human-robot interaction. In: Khalid, H.M. (ed.) 2012 Southeast Asian Network of Ergonomics Societies Conference (SEANES). IEEE, Piscataway, NJ (2012).
  10. 10.
    Jain, R., Sinha, P.: Content without context is meaningless. In: Proceedings of the 18th ACM International Conference on Multimedia, Firenze, Italy, pp. 1259–1268. ACM (2010).
  11. 11.
    Rosenthal-von der Pütten, A.M., Bock, N., Brockmann, K.: Not your cup of tea? How interacting with a robot can increase perceived self-efficacy in HRI. In: Mutlu, B., Tscheligi, M. (eds.) Proceedings of the 2017 ACMIEEE International Conference on Human-Robot Interaction. ACM, New York, NY (2017).
  12. 12.
    Woods, S., Walters, M., Koay, K.L., Dautenhahn, K.: Comparing human robot interaction scenarios using live and video based methods: towards a novel methodological approach. In: 9th IEEE International Workshop on Advanced Motion Control, pp. 750–755 (2006).

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Birgit Lugrin
    • 1
    Email author
  • Astrid Rosenthal-von der Pütten
    • 2
  • Svenja Hahn
    • 1
  1. 1.Human-Computer InteractionUniversity of WuerzburgWuerzburgGermany
  2. 2.iTec Chair for Individual and TechnologyRWTH Aachen UniversityAachenGermany

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