CFP last date
15 January 2025
Call for Paper
February Edition
IJAIS solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 15 January 2025

Submit your paper
Know more
Reseach Article

Development and Success Evaluation of a Chatbot-based Herbs and Fruits Therapeutic Properties Inquiry System

by Oyelami Moses Olufemi, Awoniran Olalekan Monsir, Oyakhire Rudolf Omozuafo
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 37
Year of Publication: 2021
Authors: Oyelami Moses Olufemi, Awoniran Olalekan Monsir, Oyakhire Rudolf Omozuafo
10.5120/ijais2021451909

Oyelami Moses Olufemi, Awoniran Olalekan Monsir, Oyakhire Rudolf Omozuafo . Development and Success Evaluation of a Chatbot-based Herbs and Fruits Therapeutic Properties Inquiry System. International Journal of Applied Information Systems. 12, 37 ( June 2021), 23-28. DOI=10.5120/ijais2021451909

@article{ 10.5120/ijais2021451909,
author = { Oyelami Moses Olufemi, Awoniran Olalekan Monsir, Oyakhire Rudolf Omozuafo },
title = { Development and Success Evaluation of a Chatbot-based Herbs and Fruits Therapeutic Properties Inquiry System },
journal = { International Journal of Applied Information Systems },
issue_date = { June 2021 },
volume = { 12 },
number = { 37 },
month = { June },
year = { 2021 },
issn = { 2249-0868 },
pages = { 23-28 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number37/1117-2021451909/ },
doi = { 10.5120/ijais2021451909 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:11:11.005787+05:30
%A Oyelami Moses Olufemi
%A Awoniran Olalekan Monsir
%A Oyakhire Rudolf Omozuafo
%T Development and Success Evaluation of a Chatbot-based Herbs and Fruits Therapeutic Properties Inquiry System
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 37
%P 23-28
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this research, we explored the use of a conversational-based inquiry system in healthcare through the development of medicinal herbs and fruits therapy chatbot for different ailments and tested the application for success using the DeLone & McLean Success Model. Our methodology involves gathering medicinal herbs and fruits from published materials,design a mobile chatbot application, and finally, system testing for intention to use, user satisfaction, net benefits, and acceptability using 30 respondents. The results from the evaluation show that a large percentage of the respondents supported the use of cell phones, PDAs, and smartphones for obtaining therapeutic information about herbs and fruits. Also, a large percentage were satisfied with the system, found the application beneficial, and would always use the developed application. Conclusively, conversational-based inquiry systems and AI applications can be developed for information provision on medicinal herbs and fruits therapeutics of various ailments and illnesses.

References
  1. Adam, M., Wessel, M. and Benlian, A. 2020. AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, pp. 1–19. doi: 10.1007/s12525-020-00414-7.
  2. Adepiti, A. O., Elujoba, A. A. and Bolaji, O. O. (2016) ‘Evaluation of herbal antimalarial MAMA decoction-amodiaquine combination in murine malaria model’, Pharmaceutical Biology, 54(10), pp. 2298–2303. doi: 10.3109/13880209.2016.1155626.
  3. Al-Snafi, P. D. A. E. (2017) ‘The Pharmacological and therapeutic importance of Cordia myxa-A review’, IOSR Journal of Pharmacy (IOSRPHR), 07(03), pp. 72–91.
  4. Alexandre, J. and Isaías, P. (2012) ‘Information systems success: Measuring wiki implementation success, based on the DeLone & McLean model’, in Lecture Notes in Business Information Processing. Springer Verlag, pp. 212–224. doi: 10.1007/978-3-642-33244-9_15.
  5. Apostolidis, E., Kwon, Y. I. and Shetty, K. (2007) ‘Inhibitory potential of herb, fruit, and fungal-enriched cheese against key enzymes linked to type 2 diabetes and hypertension’, Innovative Food Science and Emerging Technologies, 8(1), pp. 46–54. doi: 10.1016/j.ifset.2006.06.001.
  6. Arun, N. and Singh, D. P. (2012) ‘PUNICA GRANATUM: A REVIEW ON PHARMACOLOGICAL AND THERAPEUTIC PROPERTIES’, International Journal of Pharmaceutical Sciences and Research, 3(05), pp. 1240–1245.
  7. Awoniran, O. M., Soriyan, H. A. and Elujoba, A. A. (2015) A framework for knowledge capture in African traditional treatment of malaria, Nigerian Journal of Natural Products and Medicine. Available at: https://www.ajol.info/index.php/njnpm/article/view/121356 (Accessed: 27 February 2021).
  8. Ayanouz, S., Abdelhakim, B. A. and Benhmed, M. (2020) ‘A Smart Chatbot Architecture based NLP and Machine Learning for Health Care Assistance’, in ACM International Conference Proceeding Series. New York, NY, USA: Association for Computing Machinery, pp. 1–6. doi: 10.1145/3386723.3387897.
  9. Bhowmik, D. et al. (2012) ‘Traditional Indian Herbs Convolvulus Pluricaulis and Its Medicinal Importance’, Journal of Pharmacognosy and Phytochemistry, 1(1), pp. 37–45. Available at: www.phytojournal.com.
  10. Chan-Blanco, Y. et al. (2006) ‘The noni fruit (Morinda citrifolia L.): A review of agricultural research, nutritional and therapeutic properties’, Journal of Food Composition and Analysis, 19(6–7), pp. 645–654. doi: 10.1016/j.jfca.2005.10.001.
  11. Debbarma, M. et al. (2017) ‘Traditional Knowledge of Medicinal Plants in Tribes of Tripura in Northeast, India’, African journal of traditional, complementary, and alternative medicines: AJTCAM, 14(4), pp. 156–168. doi: 10.21010/ajtcam. v14i4.19.
  12. Devalaraja, S., Jain, S. and Yadav, H. (2008) ‘Exotic Fruits as Therapeutic Complements for Diabetes, Obesity and Metabolic Syndrome’, Food Res Int., 23(1), pp. 1–7. doi: 10.1016/j.foodres.2011.04.008.Exotic.
  13. Devine, S. N. O. et al. (2019) ‘Knowledge-based Service for African Traditional Herbal Medicine: A hybrid approach’, IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 3, pp. 45–55. doi: 10.5220/0007946400450055.
  14. Dhama, K. et al. (2018) ‘Medicinal and Therapeutic Potential of Herbs and Plant Metabolites / Extracts Countering Viral Pathogens – Current Knowledge and Future Prospects’, Current Drug Metabolism, 19(February). doi: 10.2174/1389200219666180129145252.
  15. Gokhale, A. et al. (2020) ‘Identification of medicinal plant using image processing and machine learning’, Advances in Intelligent Systems and Computing, 1155, pp. 272–282. doi: 10.1007/978-981-15-4029-5_27.
  16. Halonen, R. et al. (2009) DeLone & McLean success model as a descriptive tool in evaluating a virtual learning environment, International Conference on Organizational Learning, Knowledge and Capabilities (OLKC 2009). Available at: http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:DeLone+&+McLean+success+model+as+a+descriptive+tool+in+evaluating+a+virtual+learning+environment#0%5Cnhttp://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:DeLone+&+McLean
  17. Hsu, I. C. and Chang, C. C. (2020) ‘Integrating machine learning and open data into social Chatbot for filtering information rumor’, Journal of Ambient Intelligence and Humanized Computing, (0123456789). doi: 10.1007/s12652-020-02119-3.
  18. Iwu, M. and Boca, R. (1994) Handbook of African medicinal plants, Choice Reviews Online. doi: 10.5860/choice.31-5446.
  19. Kasper, J. and Bajunirwe, F. (2012) ‘Brain drain in sub-Saharan Africa: Contributing factors, Potential remedies and the role of academic medical centres’, Archives of Disease in Childhood, 97(11), pp. 973–979. doi: 10.1136/archdischild-2012-301900.
  20. Lansky, E., Neeman, I. and Shubert, S. (2000) ‘Pharmacological and therapeutic properties of pomegranate’, Production, processing and marketing of pomegranate in the Mediterranean region: Advances in research and technology, 235, pp. 231–235.
  21. Melina et al. (2020) ‘Design and Implementation of Multi Knowledge Base Expert System Using the SQL Inference Mechanism for Herbal Medicine’, Journal of Physics: Conference Series, 1477(2), p. 22007. doi: 10.1088/1742-6596/1477/2/022007.
  22. Mirunalini, K. D. and S. (2011) ‘Therapeutic Properties and Current Medical Usage of Medicinal Mushroom: Ganoderma Lucidum’, International Journal of Pharmaceutical Sciences and Research, 2(8), pp. 1922–1929.
  23. Nadarzynski, T. et al. (2019) ‘Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study’, Digital Health, 5, p. 2055207619871808. doi: 10.1177/2055207619871808.
  24. Nguyen, T. D., Nguyen, T. M. and Cao, T. H. (2015) ‘Information systems success: A literature review’, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, pp. 242–256. doi: 10.1007/978-3-319-26135-5_18.
  25. Ogirima, S. A. O. et al. (2015) Web-Based Decision Support System for Prescription in Herbal Medicine, Journal of Emerging Trends in Engineering and Applied Sciences.
  26. Okigbo, R. N., Anuagasi, C. L. and Amadi, J. E. (2009) ‘Advances in selected medicinal and aromatic plants indigenous to Africa’, Journal of Medicinal Plants Research, 3(2), pp. 086–095.
  27. Palanica, A. et al. (2019) ‘Physicians’ perceptions of chatbots in health care: Cross-sectional web-based survey’, Journal of Medical Internet Research, 21(4), p. e12887. doi: 10.2196/12887.
  28. Rahmani, A. H. et al. (2014) ‘Therapeutic effects of date fruits (Phoenixdactylifera) in the prevention of diseases via modulation of anti-tumour activity’, Int J Clin Exp Med, 7(3), pp. 483–491.
  29. Rajia, K. I. and Thyagharajan, K. K. (2015) ‘An analysis of segmentation techniques to identify herbal leaves from complex background’, in Procedia Computer Science. Elsevier B.V., pp. 589–599. doi: 10.1016/j.procs.2015.04.140.
  30. Sampath Kumar, K. P. et al. (2012) ‘Recent Trends in Potential Traditional Indian Herbs Emblica Officinalis and Its Medicinal Importance’, Journal of Pharmacognosy and Phytochemistry, 1(1), pp. 24–32. Available at: www.phytojournal.com.
  31. Sauro, J. and Kindlund, E. (2005) ‘A method to standardize usability metrics into a single score’, in CHI 2005: Technology, Safety, Community: Conference Proceedings - Conference on Human Factors in Computing Systems. New York, New York, USA: Association for Computing Machinery, pp. 401–409. doi: 10.1145/1054972.1055028.
  32. Silva, P. et al. (2014) ‘An Expert System for Supporting Traditional Chinese Medicine Diagnosis and Treatment’, Procedia Technology, 16, pp. 1487–1492. doi: 10.1016/j.protcy.2014.10.169.
  33. Sivaranjani, C. et al. (2019) ‘Real-time identification of medicinal plants using machine learning techniques’, in ICCIDS 2019 - 2nd International Conference on Computational Intelligence in Data Science, Proceedings. Institute of Electrical and Electronics Engineers Inc. doi: 10.1109/ICCIDS.2019.8862126.
  34. Sofowora, A., Ogunbodede, E. and Onayade, A. (2013) ‘The role and place of medicinal plants in the strategies for disease prevention.’, African journal of traditional, complementary, and alternative medicines: AJTCAM / African Networks on Ethnomedicines. African Traditional Herbal Medicine Supporters Initiative, pp. 210–229. doi: 10.4314/ajtcam. v10i5.2.
  35. Sugisaki, K. (2019) ‘Chat-Bot-Kit: A web-based tool to simulate text-based interactions between humans and with computers’, In Proceedings of ACM Conference, Washington, DC, USA, July 2017 (Conference’17), 17, p. 5. doi: 10.1145/nnnnnnn.nnnnnnn.
  36. Sultana, N. et al. (2014) ‘Review on Some Malaysian Traditional Medicinal Plants with Therapeutic Properties’, Journal of Basic & Applied Sciences, 10, pp. 149–159. doi: 10.6000/1927-5129.2014.10.20.
  37. Thomas, S., A. G, P. and Chandra, N. (2008) ‘Pharmacognostic Evaluation and Physicochemical Analysis of Averrhoa Carambola L. Fruit’, Journal of Herbal Medicine and Toxicology, 2(2), pp. 51–54. Available at: http://www.verypdf.com/.
Index Terms

Computer Science
Information Sciences

Keywords

Herbs Fruits Conversational-based Inquiry Systems Chatbots Information Systems Traditional medicine Therapeutic Information