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A Wizard of Oz Approach to Robotic Therapy for Older Adults With Depressive Symptoms

Published:08 March 2021Publication History

ABSTRACT

Older adults with late-life depression often suffer from cognitive symptoms, such as dementia. This patient group is not prioritised for psychotherapy and therefore often medicated with antidepressants. However, in the last 20-years, the evidence base for psychotherapy has increased and one promising area is technology-based psychotherapy. Investigations of the possibilities in this area are also motivated by the Covid-19 pandemic, where many older adults are isolated, which makes it impossible for them to meet with a therapist. Therefore, we have developed a Wizard of Oz system allowing a human therapist to control a humanoid robot through a graphical user interface, including natural speech for natural conversations, which enables the robot to be stationed in, for example, a care home. For future research, we will conduct user-centered studies with both therapists and older adults to further develop the system.

References

  1. Samer Al Moubayed, Jonas Beskow, and Gabriel Skantze. 2013. The Furhat Social Companion Talking Head. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH August (2013), 747--749.Google ScholarGoogle Scholar
  2. George S. Alexopoulos. 2005. Depression in the Elderly. Lancet 365 (2005), 1961--1970.Google ScholarGoogle ScholarCross RefCross Ref
  3. Alissa C. Bell and Thomas J. D'Zurilla. 2009. Problem-solving therapy for depression: A meta-analysis. Clinical Psychology Review 29, 4 (2009), 348--353.Google ScholarGoogle ScholarCross RefCross Ref
  4. Dan G. Blazer. 2003. Depression in Late Life: Review and Commentary. Journal of Gerontology: Medical Sciences 58A, 3 (2003), 249--265.Google ScholarGoogle ScholarCross RefCross Ref
  5. John Brooke. 2011. SUS-A quick and dirty usability scale. Smart Phone applications for people with Brain Injury (2011), 1--8.Google ScholarGoogle Scholar
  6. Pim Cuijpers, Ellen Driessen, Steven D. Hollon, Patricia van Oppen, Jürgen Barth, and Gerhard Andersson. 2012. The efficacy of non-directive supportive therapy for adult depression: A meta-analysis. Clinical Psychology Review 32, 4 (2012), 280--291.Google ScholarGoogle ScholarCross RefCross Ref
  7. David Feil-Seifer, Kerstin S. Haring, Silvia Rossi, Alan R. Wagner, and Tom Williams. 2020. Where to Next? The Impact of COVID-19 on Human-Robot Interaction Research. ACM Transactions on Human-Robot Interaction 10, 1 (2020), 1--7.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Julia A Hoppe, Christine Gustafsson, Helinä Melkas, Outi Tuisku, Satu Pekkarinen, Lea Hennala, and Kirsten Thommes. 2020. 9 Assistive robots in care: Expectations and perceptions of older people. Aging between Participation and Simulation 2009 (2020), 139--156.Google ScholarGoogle Scholar
  9. Alice X. Huang, Kevin Delucchi, Laura B. Dunn, and J. Craig Nelson. 2015. A systematic review and meta-analysis of psychotherapy for late-life depression. American Journal of Geriatric Psychiatry 23, 3 (2015), 261--273.Google ScholarGoogle ScholarCross RefCross Ref
  10. Patrik Jonell, Joseph Mendelson, Thomas Storskog, Goran Hagman, Per Ostberg, Iolanda Leite, Taras Kucherenko, Olga Mikheeva, Ulrika Akenine, Vesna Jelic, Alina Solomon, Jonas Beskow, Joakim Gustafson, Miia Kivipelto, and Hedvig Kjellstrom. 2017. Machine learning and social robotics for detecting early signs of dementia. arXiv Section 4 (2017), 1--11.Google ScholarGoogle Scholar
  11. Francisco Martin, Carlos Aguero, Joe M. Cañas, Gonzalo Abella, Rául Benitez, Sergio Rivero, Meritxell Valenti, and Pablo Martinez-Martin. 2013. Robots in therapy for dementia patients. Journal of Physical Agents 7, 1 (2013), 48--55.Google ScholarGoogle Scholar
  12. Takanori Shibata and Kazuyoshi Wada. 2011. Robot therapy: A new approach for mental healthcare of the elderly - A mini-review. Gerontology 57, 4 (2011), 378--386.Google ScholarGoogle ScholarCross RefCross Ref
  13. Soa Thunberg, Lisa Rönnqvist, and Tom Ziemke. 2020. Do Robot Pets Decrease Agitation in Dementia Patients?: An Ethnographic Approach. In Social Robotics, A. R. Wagner, D. Feil-Seifer, K. S. Haring, S. Rossi, T. Williams, H. He, and S. Sam Ge (Eds.). Cham: Springer International Publishing, 616--627.Google ScholarGoogle Scholar
  14. Sophia Wang and Dan G. Blazer. 2015. Depression and Cognition in the Elderly. Annual Review of Clinical Psychology 11, 1 (2015), 331--360.Google ScholarGoogle ScholarCross RefCross Ref
  15. BobWoods, Laura O'Philbin, EmmaMFarrell, Aimee E Spector, and Martin Orrell. 2018. Reminiscence Therapy for Dementia. Cochrane Data- base of Systematic Reviews 3 (2018).Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
      March 2021
      756 pages
      ISBN:9781450382908
      DOI:10.1145/3434074
      • General Chairs:
      • Cindy Bethel,
      • Ana Paiva,
      • Program Chairs:
      • Elizabeth Broadbent,
      • David Feil-Seifer,
      • Daniel Szafir

      Copyright © 2021 ACM

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      New York, NY, United States

      Publication History

      • Published: 8 March 2021

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