single-rb.php

JRM Vol.32 No.1 pp. 32-42
doi: 10.20965/jrm.2020.p0032
(2020)

Paper:

Anxiety Reduction Through Close Communication with Robotic Media in Dementia Patients and Healthy Older Adults

Ryuji Yamazaki*, Hiroko Kase**, Shuichi Nishio*, and Hiroshi Ishiguro***

*Symbiotic Intelligent Systems Research Center, Institute for Open and Transdisciplinary Research Initiatives, Osaka University
J205, 1-3 Machikaneyama-cho, Toyonaka, Osaka 560-8531, Japan

**Faculty of Human Sciences, Waseda University
2-579-17 Mikajima, Tokorozawa-shi, Saitama 359-1192, Japan

***Department of Systems Innovation, Graduate School of Engineering Science, Osaka University
1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan

Received:
August 1, 2019
Accepted:
December 18, 2019
Published:
February 20, 2020
Keywords:
communication support, android robot, behavioral and psychological symptoms of dementia (BPSD), anxiety, autonomous dialogue
Abstract

The purpose of this paper is to provide an overview of the recent research on android robotic media with a focus on its effects on older adults and to present a discussion on the implications of the experimental results. Social isolation of older adults is a leading issue in healthcare. Patients with dementia experience symptoms, such as agitation, which can result in increasing care burden. Android robotic media have been shown to provide a feeling of safety and communication support to older adults. In previous case studies, an increase in prosocial behaviors was observed in participants with dementia; however, the media effects needed to be measured by assessment scales. The current results indicate the effects of robotic media on dementia symptoms, especially the decrease in patients’ anxiety. As demonstrated in another experiment, anxiety reduction can also be expected in healthy older adults; however, certain conditions may be required for both healthy older adults and those with dementia. Key factors for the media effect, namely, dementia type, user’s personality, and personalized dialogue are taken into consideration for the further development of robotic systems. Additionally, we further discuss the significance of long-term data collection, especially from the early life stages because teleoperation or autonomous systems are expected to utilize information that can affect the effect of robotic media.

An older lady in close interaction with a robot

An older lady in close interaction with a robot

Cite this article as:
R. Yamazaki, H. Kase, S. Nishio, and H. Ishiguro, “Anxiety Reduction Through Close Communication with Robotic Media in Dementia Patients and Healthy Older Adults,” J. Robot. Mechatron., Vol.32 No.1, pp. 32-42, 2020.
Data files:
References
  1. [1] B. S. Diniz, M. A. Butters, S. M. Albert, M. A. Dew, and C. F. Reynolds 3rd, “Late-life depression and risk of vascular dementia and Alzheimer’s disease: systematic review and meta-analysis of community-based cohort studies,” Psychiatry, Vol.202, No.5, pp. 329-335, 2013.
  2. [2] L. Fratiglioni, H. X. Wang, K. Ericsson, M. Maytan, and B. Winblad, “Influence of social network on occurrence of dementia: a community-based longitudinal study,” Lancet, Vol.355, Issue 9212, pp. 1315-1319, 2000.
  3. [3] A. A. Mallidou, G. G. Cummings, C. Schalm, and C. A. Estabrooks, “Health care aides use of time in a residential long-term care unit: a time and motion study,” Int. J. of Nursing Studies, Vol.50, Issue 9, pp. 1229-1239, 2013.
  4. [4] R. Ward, A. A. Vass, N. Aggarwal, and C. Garfield, “A different story: Exploring patterns of communication in residential dementia care,” Ageing and Society, Vol.28, pp. 629-651, 2008.
  5. [5] A. S. Schreiner, E. Yamamoto, and H. Shiotani, “Positive affect among nursing home residents with Alzheimer’s dementia: the effect of recreational activity,” Aging and Mental Health, Vol.9, pp. 129-134, 2005.
  6. [6] R. Yamazaki, S. Nishio, K. Ogawa, and H. Ishiguro, “Teleoperated Android as an Embodied Communication Medium: A Case Study with Demented Elderlies in a Care Facility,” Proc. of IEEE Int. Symp. on Robot and Human Interactive Communication (RO-MAN), pp. 1066-1071, 2012.
  7. [7] M. Azermai, M. Petrovic, M. M. Elseviers, J. Bourgeois, L. M. Van Bortel, and R. H. Vander Stichele, “Systematic appraisal of dementia guidelines on the management of behavioural and psychological symptoms,” Ageing Research Reviews, Vol.11, No.1, pp. 78-86, 2012.
  8. [8] H. C. Beerens, S. M. G. Zwakhalen, H. Verbeek, F. E. S. Tan, S. Jolani, M. Downs, B. de Boer, D. Ruwaard, and J. P. H. Hamers, “The relation between mood, activity, and interaction in long-term dementia care,” Aging and Mental Health, Vol.13, pp. 1-7, 2016.
  9. [9] R. Yamazaki, S. Nishio, H. Ishiguro, and H. Kase, “Use of Robotic Media as Persuasive Technology and Its Ethical Implications in Care Settings,” J. of Philosophy and Ethics in Health Care and Medicine, No.12, pp. 45-58, 2018.
  10. [10] R. Yamazaki, M. Kochi, W. Zhu, and H. Kase, “A Pilot Study of Robot Reminiscence in Dementia Care,” Int. J. of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, Vol.12, No.6, pp. 253-257, 2018.
  11. [11] J. Holt-Lunstad, T. B. Smith, and J. B. Layton, “Social Relationships and Mortality Risk: A Meta-analytic Review,” PLoS Medicine, Vol.7, Issue 7, e1000316, 2010.
  12. [12] D. Brooker and L. Duceb, “Wellbeing and Activity in Dementia: A Comparison of Group Reminiscence Therapy, Structured Goal-directed Group Activity and Unstructured Time,” Aging & Mental Health, Vol.4, pp. 354-358, 2000.
  13. [13] N. Kuwahara, S. Abe, K. Yasuda, and K. Kuwabara, “Networked Reminiscence Therapy for Individuals with Dementia by using Photo and Video Sharing,” Proc. of the ASSETS, pp. 125-132, 2006.
  14. [14] Int. Psychogeriatric Association, “Behavioral and Psychological Symptoms of Dementia (BPSD) Educational Pack,” 2002.
  15. [15] A. Kristoffersson, S. Coradeschi, and A. Loutfi, “User-Centered Evaluation of Robotic Telepresence for an Elderly Population,” Proc. of the 2nd Int. Workshop on Designing Robotic Artefacts with User- and Experience-Centred Perspectives at NordiCHI, pp. 1-4, 2010.
  16. [16] K. Wada, and T. Shibata, “Robot Therapy in a Care House: Results of Case Studies,” Proc. of the 15th IEEE Int. Conf. on Robot and Human Interactive Communication (RO-MAN), pp. 581-586, 2006.
  17. [17] H. Sumioka, A. Nakae, R. Kanai, and H. Ishiguro, “Huggable communication medium decreases cortisol levels,” Scientific Reports, Vol.3, 3034, 2013.
  18. [18] S. Finkel, “Introduction to Behavioural and Psychological Symptoms of Dementia (BPSD),” Int. J. of Geriatric Psychiatry, Vol.15, pp. S2-S4, 2000.
  19. [19] A. M. de Oliveira, M. Radanovic, P. C. de Mello, P. C. Buchain, A. D. Vizzotto, D. L. Calestino, F. Stella, C. V. Piersol, and O. V. Forlenza, “Nonpharmacological Interventions to Reduce Behavioral and Psychological Symptoms of Dementia: A Systematic Review,” BioMed Research Int., pp. 1-9, 2015.
  20. [20] C. G. Lyketsos, M. Steinberg, J. T. Tschanz, M. C. Norton, D. C. Steffens, and J. C. Breitner, “Mental and behavioral disturbances in dementia: findings from the Cache County Study on Memory in Aging,” American J. of Psychiatry, Vol.157, No.5, pp. 708-714, 2000.
  21. [21] L. Kristiansen, O. Hellzén, and K. Asplund, “Swedish Assistant Nurses’ Experiences of Job Satisfaction When Caring for Persons Suffering from Dementia and Behavioural Disturbances,” Int. J. of Qualitative Studies on Health and Well-Being, Vol.1, pp. 245-256, 2006.
  22. [22] L. Bonanni, C. Vaumobilee, J. Lieberman, and O. Zuckerman, “TapTap: a haptic wearable for asynchronous distributed touch therapy,” Proc. and Ext. Abst. on Human Factors in Computer Systems, pp. 580-585, 2006.
  23. [23] W. Stiehl and C. Breazeal, “Design of a therapeutic robotic companion for relational, affective touch,” Proc. of the 14th IEEE Int. Workshop on Robot and Human Interactive Communication, pp. 408-415, 2005.
  24. [24] K. Wada, T. Shibata, T. Saito, K. Sakamoto, and K. Tanie, “Psychological and social effects of one year robot assisted activity on elderly people at a health service facility for the aged,” Proc. of the IEEE Int. Conf. on Robotics and Automation, pp. 2785-2790, 2005.
  25. [25] T. Shibata and J. F. Coughlin, “Trends of Robot Therapy with Neurological Therapeutic Seal Robot, PARO,” J. Robot. Mechatron., Vol.26, No.4, pp. 418-425, 2014.
  26. [26] V. B. Morhenn, L. E. Beavin, and P. J. Zak, “Massage increases oxytocin and reduces adrenocorticotropin hormone in humans,” Altern. Ther. Health Med., Vol.18, No.6, pp. 11-18, 2012.
  27. [27] A. Beetz, K. Uvnäs-Moberg, H. Julius, and K. Kotrschal, “Psychosocial and Psychophysiological Effects of Human-Animal Interactions: The Possible Role of Oxytocin,” Frontiers in Psychology, Vol.3, 234, 2012.
  28. [28] K. Ogawa, S. Nishio, K. Koda, G. Balistreri, T. Watanabe, and H. Ishiguro, “Exploring the natural reaction of young and aged person with Telenoid in a real world,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.5, pp. 592-597, 2011.
  29. [29] R. Yamazaki, H. Kase, S. Nishio, and H. Ishiguro, “A Conversational Robotic Approach to Dementia Symptoms: Measuring Its Effect on Older Adults,” Proc. of the 7th Int. Conf. on Human-Agent Interaction (HAI), pp. 110-117, 2019.
  30. [30] J. L. Cummings, M. Mega, K. Gray, S. Rosenberg-Thompson, D. A. Carusi, and J. Gornbein, “The Neuropsychiatric Inventory: Comprehensive Assessment of Psychopathology in Dementia,” Neurology, Vo.44, No.12, pp. 2308-2314, 1994.
  31. [31] S. Wood, J. L. Cummings, M. A. Hsu, T. Barclay, M. V. Wheatley, K. T. Yarema, and J. F. Schnelle, “The Use of the Neuropsychiatric Inventory in Nursing Home Residents: Characterization and Measurement,” American J. of Geriatric Psychiatry, Vol.8, No.1, pp. 75-83, 2000.
  32. [32] R. Yamazaki, L. Christensen, K. Skov, C. Chang, M. F. Damholdt, H. Sumioka, S. Nishio, and H. Ishiguro, “Intimacy in Phone Conversations: Anxiety Reduction for Danish Seniors with Hugvie,” Frontiers in Psychology, Vol.7, No.537, pp. 1-9, 2016.
  33. [33] P. T. Costa and R. R. McCrae, “The NEO-PI/NEO-FFI Manual Supplement,” Psychological Assessment Resources, 1989.
  34. [34] C. D. Spielberger, “Manual for the State-Trait Anxiety Inventory STAI (form Y) (‘Self-Evaluation Questionnaire’),” Consulting Psychology Press, 1983.
  35. [35] J. Magyar, M. Kobayashi, S. Nishio, P. Sinčák, and H. Ishiguro, “Autonomous Robotic Dialogue System with Reinforcement Learning for Elderlies with Dementia,” Proc. of 2019 IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC), pp. 1-6, 2019.
  36. [36] C. J. Watkins and P. Dayan, “Q-learning,” Machine Learning, Vol.8, Nos.3-4, pp. 279-292, 1992.
  37. [37] M. Kanoh, “Babyloid,” J. Robot. Mechatron., Vol.26, No.4, pp. 513-514, 2014.
  38. [38] P. J. Seignourel, M. E. Kunik, L. Snow, N. Wilson, and M. Stanley, “Anxiety in dementia: a critical review,” Clinical Psychology Review, Vol.28, pp. 1071-1082, 2008.
  39. [39] C. Neville and L. Teri, “Anxiety, anxiety symptoms, and associations among older people with dementia in assisted-living facilities,” Int. J. of Mental Health Nursing, Vol.20, pp. 195-201, 2011.
  40. [40] J. Somme, M. Fernández-Martínez, A. Molano, and J. J. Zarranz, “Neuropsychiatric symptoms in amnestic mild cognitive impairment: increased risk and faster progression to dementia,” Current Alzheimer Research, Vol.10, pp. 86-94, 2013.
  41. [41] H. Oba, S. Sato, H. Kazui, Y. Nitta, T. Nashitani, and A. Kamiyama, “Conversational assessment of cognitive dysfunction among residents living in long-term care facilities,” Int. Psychogeriatrics, Vol.30, No.1, pp. 87-94, 2018.
  42. [42] S. Nakatani, S. Saiki, M. Nakamura, and K. Yasuda, “Implementation and Evaluation of Personal Ontology Building System with Virtual Agent,” Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, Healthcare Applications, HCII2019, Lecture Notes in Computer Science, Vol.11582, pp. 391-403, 2019.
  43. [43] S. Fazio, D. Pace, J. Flinner, and B. Kallmyer, “The Fundamentals of Person-Centered Care for Individuals With Dementia,” The Gerontologist, Vol.58, Issue suppl_1, pp. S10-S19, 2018.
  44. [44] Y. Mori, and S. Kido, “Monitoring System for Elderly People Using Passive RFID Tags,” J. Robot. Mechatron., Vol.26, No.5, pp. 649-655, 2014.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Apr. 19, 2024