November 10, 2025 | 11:10
Education
Research
Student
Data, risks, management: YSU PhD student studies features of human–computer interaction in finance
Human–computer interaction is currently considered one of the most actively researched areas within technological sciences. Its application across various fields, including finance, has the potential to transform approaches to risk management. This topic is being explored by Arega Prazyan, a PhD student at the Faculty of Economics and Management, Yerevan State University. Driven by a deep interest in financial risk analysis, she has chosen to explore how human–computer interaction can be applied to organizational financial risk management processes.
Arega Prazyan, a PhD student at the YSU Faculty of Economics and Management, is one of the winners of the "Research Assistance Program for Young Applicants and PhD Students–2025" organized by the Higher Education and Science Committee of RA MoESCS. As part of her research project, she is conducting studies on the application of human-computer interaction in the process of managing financial risks in organizations.
According to the student, the topic, titled "The Application of Human-Computer Interaction in the Process of Managing Financial Risks in Organizations," is innovative because research in this area remains very limited, not only in Armenia but also worldwide. The outcomes of the study are expected to help organizations better understand and more accurately manage financial risks.
"The primary objective of the research is to examine the behavior of 'good' and 'bad' borrowers on banks' digital platforms using a device called an 'eye tracker'. I think this topic is extremely relevant, as we live in a digital era," she emphasizes.
Arega notes that the project could lead to a more human-centered digital environment, where decision-making will be based not only on numerical data but also on innovative behavioral indicators.
Regarding the progress of the research, the YSU student stated that the review of related literature has already been completed, and experiments will begin shortly. Within the framework of the project, an 'eye tracker' device has also been acquired, and experiments will be conducted with the collected data analyzed using various machine learning methods to assess the effectiveness of the results.
"We will provide behavioral signals, meaning we will study actual behavior. I expect that the findings of the research will eventually be published in reputable scientific journals. The anticipated outcome of the study is to identify as many well-founded behavioral signals as possible," she explains.
Highlighting that the proposed approach could be particularly effective in the financial and banking sector, Arega added, "We will extract behavioral signals by studying real, actual behavior. Our goal is to identify as many well-founded behavioral signals as possible."
According to Arega, the introduction of such a system is expected to have a certain impact on the decision-making culture of organizations, allowing for non-linear and behaviorally informed decision-making.
Arega Prazyan highly values programs of this kind for young researchers, noting that they are both motivating and obligate participants to continue their research responsibly. She stated that her immediate goal is to complete the ongoing research and achieve the desired results. Currently, she works as a financial risk analyst-actuary at the Central Bank of Armenia while also teaching at Yerevan State University.
