ADAM: An intelligent virtual assistant for personal financial management

Resumo


Context: According to the Serviço de Proteção ao Crédito (SPC Brasil), approximately 48% of Brazilians do not control their monthly budget. Problem: In addition, according to the Pesquisa de Endividamento e Inadimplência do Consumidor (PEIC), the percentage of families that reported debts reached 76,3% in December 2021. This number indicates the need for solutions to help people manage their personal finances. Solution: This article proposes an intelligent virtual assistant model named ADAM to help manage personal finances. Considering the proliferation and accessibility of instant text messages applications, the model uses chatbots and Natural Language Processing (NLP) to extract information from sentences and texts. NLP allows better user interaction since the users can employ their natural language. IS Theory: The work was carried out following the Design Theory. In addition, the foundations of the Technology Acceptance Model (TAM) were also used mainly to evaluate the artifact. Method: The work adopted Design Science Research as a research method. Problem understanding and the construction of the artifact were carried out with the support of specialists in the finance area. Ten academic community participants and finance specialists evaluated the artifact. Summary of Results: Six users rated the artifact as easy to use and intuitive, facilitating the management of personal finances. Also, suggestions were made to improve the artifact. Contributions and Impact in the IS area: Among the main contributions, the intelligent virtual assistant model stands out, which uses NLP to facilitate interaction with people in managing their finances and bring more autonomy to them.

Palavras-chave: Personal financial management, Chatbots, Intelligent virtual assistant, Natural Language Processing, Design Science Research, Technology Acceptance Model

Referências

Eleni Adamopoulou and Lefteris Moussiades. 2020. Chatbots: History, technology, and applications. Machine Learning with Applications 2 (2020), 100006. https://doi.org/10.1016/j.mlwa.2020.100006

Kintan Sekar Adinda and Ginar Santika Niwanputri. 2021. Designing for Financial Literacy: How Adolescent Learning through a Mobile Application. In 2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA). 1–6. https://doi.org/10.1109/ICAICTA53211.2021.9640262

Guilherme Henrique Ferreira Assis, João Vitor de Oliveira Rodrigues, and Geraldo Henrique Neto. 2020. BILL: Desenvolvimento e validação de uma aplicação móvel para gerenciamento financeiro pessoal. Revista Eletrônica de Computação Aplicada 1, 1(2020). [link]

Oriol Bedia. 2018. How to Know Your Users’ Real Needs?Retrieved January 23, 2022 from https://uxdesign.cc/how-to-know-your-users-needs-2d24fb92a01e

Juliana Bezerra. 2022. Adam Smith. Retrieved January 23, 2022 from https://www.todamateria.com.br/adam-smith

CNDL Brasil. 2021. 48% dos brasileiros não controlam o próprio orçamento, revela pesquisa CNDL/SPC Brasil. Retrieved January 23, 2022 from [link].

Chan Chun Ho, Ho Lam Lee, Wing Kwan Lo, and Kwok Fai Andrew Lui. 2018. Developing a Chatbot for College Student Programme Advisement. In 2018 International Symposium on Educational Technology (ISET). 52–56. https://doi.org/10.1109/ISET.2018.00021

Gwendal Daniel and Jordi Cabot. 2021. The Software Challenges of Building Smart Chatbots. In 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). 324–325. https://doi.org/10.1109/ICSE-Companion52605.2021.00138

Banco Central do Brasil. 2022. Open Banking. Retrieved April 1, 2022 from https://www.bcb.gov.br/estabilidadefinanceira/openbanking

Aline Dresch, Daniel Pacheco Lacerda, and José Antonio Valle Antunes Junior. 2020. Design science research: método de pesquisa para avanço da ciência e tecnologia. Bookman, Porto Alegre. 

Rafaela Frankenthal. 2021. Entenda a escala Likert e como aplicá-la em sua pesquisa. Retrieved January 23, 2022 from [link]

Manuel B. Garcia and Julius P. Claour. 2021. Mobile Bookkeeper: Personal Financial Management Application with Receipt Scanner Using Optical Character Recognition. In 2021 1st Conference on Online Teaching for Mobile Education (OT4ME). 15–20. https://doi.org/10.1109/OT4ME53559.2021.9638794

Alamira Jouman Hajjar. 2021. Top 12 Benefits of Chatbots in 2021: The Ultimate Guide. Retrieved June 22, 2021 from https://research.aimultiple.com/chatbot-benefits/

Business Insider. 2021. Chatbot market in 2021: Stats, trends, and companies in the growing AI chatbot industry. Retrieved January 23, 2022 from https://www.businessinsider.com/chatbot-market-stats-trends

Shahnawaz Khan and Mustafa Raza Rabbani. 2020. Chatbot as Islamic Finance Expert (CaIFE): When Finance Meets Artificial Intelligence. In Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control (Newcastle upon Tyne, United Kingdom) (ISCSIC 2020). Association for Computing Machinery, New York, NY, USA, Article 37, 5 pages. https://doi.org/10.1145/3440084.3441213

Unisinos Lab. 2022. Espaço de Sustentabilidade Financeira – SUFIN. Retrieved January 23, 2022 from https://www.unisinos.br/lab/programas/sufin

Rui Ma. 2021. Design and Implementation of Financial Information System for Mobile Devices. In Journal of Physics: Conference Series, Vol. 1915. IOP Publishing, 042010. 

MURAL. 2022. MURAL is a digital-first visual collaboration platform. Retrieved January 23, 2022 from https://www.mural.co

Luciana Neto. 2021. Pesquisa de Endividamento e Inadimplência do Consumidor (Peic) – Anual e dezembro de 2021. Retrieved January 22, 2022 from [link].

Krishna Kumar Nirala, Nikhil Kumar Singh, and Vinay Shivshanker Purani. 2022. A survey on providing customer and public administration based services using AI: chatbot. Multimedia Tools and Applications(2022), 1–32. https://doi.org/10.1007/s11042-021-11458-y

Denies Priantinah, Mimin Nur Aisyah, and Yavida Nurim. 2019. The analysis of technology acceptance model (TAM) for personal financial management on mobile application technology. In International Conference on Banking, Accounting, Management and Economics. 

Telegram. 2022. Bots: An introduction for developers. Retrieved January 23, 2022 from https://core.telegram.org/bots

Xiaoyi Tian, Zak Risha, Ishrat Ahmed, Arun Balajiee Lekshmi Narayanan, and Jacob Biehl. 2021. Let's Talk It Out: A Chatbot for Effective Study Habit Behavioral Change. Proc. ACM Hum.-Comput. Interact. 5, CSCW1, Article 97 (apr 2021), 32 pages. https://doi.org/10.1145/3449171

Brian Walsh and HanNa Lim. 2020. Millennials’ adoption of personal financial management (PFM) technology and financial behavior. FINANCIAL PLANNING REVIEW 3, 3 (2020), e1095. https://doi.org/10.1002/cfp2.1095 arXiv: https://onlinelibrary.wiley.com/doi/pdf/10.1002/cfp2.1095
Publicado
16/05/2022
Como Citar

Selecione um Formato
MÜLLER, Lucas Schneider; EICH, Luís Guilherme; FRANCISCO, Rosemary; BARBOSA, Jorge Luis Victória. ADAM: An intelligent virtual assistant for personal financial management. In: SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 18. , 2022, Curitiba. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 .