Vol. 6, Issue 1, Part F (2024)

Whether it is the visualization of financial data and decision-making processes, personalization has already become a characteristic of modern fintech products. With robo-advisors personalizing investment advice based on one’s budget, and budgeting tools personalizing spending advice based on real-time information streams, interface-level customization now bears a lot of psychological baggage. However, in spite of its popularity, personalization of financial interfaces remains a poorly comprehended concept, especially when it comes to the impact of certain elements of designs on trust, risk-taking, and long-term financial behaviors. This essay discusses the impact of personalization being incorporated in the interfaces of fintech products on user decisions by addressing three key aspects, specifically the degree to which the personalization is provided, the degree to which this personalization is presented, and the quality of the data on which the personalization is based. The study (based on a mixed-methods research design, which involves a controlled experiment, a field A/B test, and in-depth interviews) examines the advantages and the possible traps of personalized financial advice. Particular focus is placed on the cases of personalization misfires, or inappropriate persuasiveness, which casts doubts on the notions of fairness, autonomy, and the limits to responsible design. The findings are set to help in understanding the cognitive and emotional processes involved in processing personalized signals by users, and how, despite small changes in the interface, financial decisions can be influenced in significant ways. In the end, the paper will provide a theoretical construct and practical principles to further encourage more ethical, transparent, and user-focused personalization methods. The study shows that with a positive contribution of behavioral finance, human-computer interaction, and the domain of digital governance, the role of fintech systems is to empower and not to influence, making sure that personalization contributes to the quality of choices without affecting the agency of the user.