Co-design of an Intelligent conversational agent to Improve the telecare of elderlies in social and financial vulnerability
Abstract
One of the main challenges of society is the aging of the population. In São Gonçalo, home care services can be offered to assist elders with reduced mobility and motor disabilities. However, several factors, such as the high rate of violence in certain areas, prevent health professionals who support these elders to visit them. To partially minimize these challenges, as the limited contact between patients and these professionals, for example, this research proposes the use of Intelligent Conversational Agents as a tool of telecare execution. Through an initial exploratory study, it was possible to identify the participants approach considering the social and economic characteristics of the context. Moreover, the results also exposed challenges of how telecare is conducted nowadays and opportunities of interventions for contextual adversities changes
Keywords:
Co-design, Intelligent Conversational Agent, Elders, Telecare
References
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K. Charmaz. 2014. Constructing grounded theory (2 ed.). Sage Publications, Great Britain.
K. Denecke, M. Tschanz, T. Dorner, and R. May. 2019. Intelligent Conversational Agents in Healthcare: Hype or Hope? Studies in health technology and informatics 259 (2019), 77–84.
Gerhard W. Eschweiler and Leo Wanner. 2018. How Can Intelligent Conversational Agents Help? The Needs of Geriatric Patients and Their Caregivers. In Intelligent Conversation Agents in Home and Geriatric Care Applications. CEUR-WS, Stockholm, Sweden, 1–9.
J. J. Ferreira, A. Fucs, and V. Segura. 2019. Should I Interfere’AI-Assistants’ Interaction with Knowledge Workers: A Case Study in the Oil and Gas Industry. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, Glasgow, Scotland Uk, CS20.
S. Jusoh. 2018. Intelligent Conversational Agent for Online Sales. In International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, Iasi, Romania, 1–4.
J. Kasckow, S. Zickmund, A. Rotondi, A. Mrkva, J. Gurklis, M. Chinman, L. Fox, M. Loganathan, B. Hanusa, and G. Haas. 2014. Development of telehealth dialogues for monitoring suicidal patients with schizophrenia: Consumer feedback. Community mental health journal 50, 3 (2014), 339–342.
A. C. King, T. W. Bickmore, M.I. Campero, L.A. Pruitt, and Yin J. L. 2013. Employing Virtual Advisors in Preventive Care for Underserved Communities: Results From the COMPASS Study. Journal of Health Communication 18, 12 (2013), 1449–1464. https://doi.org/10.1080/10810730.2013.798374 PMID: 23941610.
L. Laranjo, A. G. Dunn, H. L. Tong, A. B. Kocaballi, J. Chen, R. Bashir, D. Surian, B. Gallego, F. Magrabi, A. Y. S. Lau, and E. Coiera. 2018. Conversational agents in healthcare: a systematic review. Journal of the American Medical Informatics Association 25, 9 (2018), 1248–1258.
P. Milhorat, S. Schlögl, Jérôm Boudy, and G. Chollet. 2013. What if everyone could do it?: a framework for easier spoken dialog system design. In SIGCHI symposium on engineering interactive computing systems. ACM, London, United Kingdom, 217–222.
J. L. Z. Montenegro, C. A. da Costa, and R. da R. Righi. 2019. Survey of conversational agents in health. Expert Systems with Applications 129 (2019), 56–67. https://doi.org/10.1016/j.eswa.2019.03.054
S. Nikitina, Sara Callaioli, and M. Baez. 2018. Smart Conversational Agents for Reminiscence. CoRR abs/1804.06550 (2018). arXiv:1804.06550 http://arxiv.org/abs/1804.06550
Organização Mundial da Saúde (OMS) 2011. Saúde Global e Envelhecimento. Organização Mundial da Saúde (OMS).
V. Petukhova, M. Gropp, D. Klakow, A. Schmidt, G. Eigner, S. Topf, M. Srb, P. Motlicek, B. Potard, J. Dines, O. Deroo, R. Egeler, U. Meinz, and S. Liersch. 2014. The DBOX corpus collection of spoken human-human and human-machine dialogues. Technical Report. European Language Resources Association (ELRA).
N. A Shaked. 2017. Avatars and virtual agents–relationship interfaces for the elderly. Healthcare technology letters 4, 3 (2017), 83–87.
M. L Tielman, M. A. Neerincx, and W. Brinkman. 2019. Design and evaluation of personalized motivational messages by a virtual agent that assists in posttraumatic stress disorder therapy. Journal of medical Internet research 21, 3 (2019), 1–21.
S. Tokunaga, H. Horiuchi, K. Tamamizu, S. Saiki, M. Nakamura, and K. Yasuda. 2016. Deploying service integration agent for personalized smart elderly care. In 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS). 1–6. https://doi.org/10.1109/ICIS.2016.7550873
A. N. Vaidyam, H. Wisniewski, J. D. Halamka, M. S. Kashavan, and J. B. Torous. 2019. Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape. The Canadian Journal of Psychiatry (2019), 2–9.
M. Vianna. 2012. Design thinking: inovação em negócios. Design Thinking.
Published
2019-10-11
How to Cite
MONTEIRO, Mateus; SALGADO, Luciana.
Co-design of an Intelligent conversational agent to Improve the telecare of elderlies in social and financial vulnerability. In: WORKSHOP OF THESIS AND DISSERTATIONS - MASTER DEGREE - BRAZILIAN SYMPOSIUM ON HUMAN FACTORS IN COMPUTATIONAL SYSTEMS (IHC), 18. , 2019, Vitória.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 134-137.
DOI: https://doi.org/10.5753/ihc.2019.8415.
