DEVELOPING A CHATBOT APPLICATION WITH DIALOGFLOW PROVIDING ADVICE ON POSITIVE DEPRESSIVE DISORDER CONCEPTS FOR THE ELDERLY
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Abstract
The present world society has entered an aging society. Cognitive and behavioral problems of this group of the population tend to develop into depression or stress disorders among the elderly. This research has been experimented with the positive thinking questionnaire data set for the elderly was applied to Dialogflow in the development of LINE chatbot, which can be developed as an application for counseling and guiding the elderly by doing a case study. The research was conducted with Qualitative research. The research tool used in this research was the chatbot application to provide positive advice and prevention of depression for the elderly as a key variable. The sample group included experts in each field to assess the effectiveness of the tool and 100 elderly people were selected using a probability sampling approved by the Human Research Ethics Committee to answer the satisfaction questionnaire after using the tool. The results showed that the chatbot’s quality by experts had a very good overall average score () = 3.99 and standard deviation (SD) = 0.65, and the user satisfaction assessment result was an overall average score at high level with mean (
)= 3.94 and standard deviation (SD) = 0.68 which corresponds to the assumption that the elderly have good feelings and are satisfied with using the LINE chatbot application and have helpful information. In conclusion, the LINE chatbot is appropriate and responds in accordance with the behavior of the elderly group very well, but the elderly group must know how to use it properly and appropriately.
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References
Cambria, E., & White, B. (2014). Jumping NLP curves: A review of natural language processing research. IEEE Computational Intelligence Magazine, 9(2), 48-57.
Charoensak, S., Sittironnarit, G., Satra, T., Muangpaisan, W., & Srinontprasert, V. (2018). Prevalence of psychiatric disorders in elderly patients, quality of life of patients and caregivers, and their correlated factors. Journal of the Psychiatrist Association of Thailand, 63(1), 89-98. (in Thai).
Department of Health Service Support. (2021). Report on health screening results for the elderly in Bueng Kham Phroi sub-district community. https://3doctor.hss.moph.go.th/main/rp_village?region=4&prov=MTM=&provn=4Lib4LiX4Li44Lih4LiY4Liy4LiZ4Li1&id=1306&n=4Lil4Liz4Lil4Li54LiB4LiB4Liy&tamid=130603&tamname=4Lia4Li24LiH4LiE4Liz4Lie4Lij4LmJ4Lit4Lii. (in Thai)
Department of Older Persons. (2021). Guidelines for taking care of the mental state of the elderly to be clear and far away from mental health problems. https://www.dop.go.th/th/know/15/413. (in Thai)
Fiske, A., Wetherell, J. L., & Gatz, M. (2009). Depression in older adults. Annual Review of Clinical Psychology, 5, 363-389.
Inthamusik, W. (2016). The study on usage behavior and effect of LINE application on life and mind among the Elderly of Ban Pan Rak Association [Master’s thesis]. Bangkok University. (in Thai)
Jacobson, N. S., Martell, C. R., & Dimidjian, S. (2006). Behavioral activation treatment for depression: Returning to contextual roots. Clinical Psychology: Science and Practice, 8(3), 255–270.
Janarthanam, S. (2017). Hands-on chatbots and conversational UI development: Build chatbots and voice user interfaces with Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, and Alexa Skills. Packt and Birmingham.
Kruapanich, P. (2018). Dialogflow for creating Chatbots. https://shorturl.asia/oiQWM. (in Thai)
Lackamp, J., Schlachet, R., & Sajatovic, M. (2016). Assessment and management of major depressive disorder in older adults. Psychiatr Danub, 28(Suppl. 1), 95-98.
Markchit, S. (2021). Problem-based learning via Chatbot for advance topic in computer course. Journal of Industrial Education, 21(1), 44-55. (in Thai)
Ranavare, S. S., & Kamath, R. S. (2020). Artificial intelligence based chatbot for placement activity at college using Dialogflow. Our Heritage, 68(30), 4806-4814.
Sabharwal, N., & Agrawal, A. (2020). Cognitive virtual assistants using Google Dialogflow: Develop complex cognitive bots using the Google Dialogflow platform. Springer Nature.
Shoplus. (2020). What is a chatbot and how does it work? https://shoplus.me/th/blog/ai-chatbot-technology/. (in Thai)
Suwannacheep, S., Rudtanakorn, N., Wanicharamani, K., & Prasantong, N. (2020). Guidelines for social and psychological care of the elderly to prevent mental health problems. Department of Mental Health Press. Mental Health Knowledge Base. https://dmh-elibrary.org/items/show/1138. (in Thai)
Udomthanathira, K. (2019). System development cycle (System Development Life Cycle: SDLC). https://dol.dip.go.th/th/category/2019-02-08-08-57-30/2019-03-15-11-06-29. (in Thai)
Yamane, T. (1973). Statistics: An Introductory Analysis (3rd ed). New York: Harper and Row Publications.