activity
20222026
most citedFinancial technologies (FinTech) for mental health: The potential of objective financial data to better understand the relationships between financial behavior and mental health

16 citations · 24 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Assessing Acceptance and Privacy Preferences of Third-party Financial Data Sharing in Bipolar Disorder

Jeff Brozena, Johnna Blair, Dahlia Mukherjee +4

Bipolar disorder is strongly associated with financial instability. We examine how different interventions motivate individuals with bipolar disorder to share financial data with o…

cs.LO2026

A Computational Ethical Framework for Financial Digital Phenotyping for Mental Health

Oluwadara Adedeji, Michael Mayowa Farayola, Jeff Brozena +3

Ethical governance of AI-driven systems is often expressed through high-level principles and static documentation, creating a gap between regulatory requirements and system-level v…

cs.HC2025

Vector Autoregression (VAR) of Longitudinal Sleep and Self-report Mood Data

Jeff Brozena

Self-tracking is one of many behaviors involved in the long-term self-management of chronic illnesses. As consumer-grade wearable sensors have made the collection of health-related…

cs.HC2023★ 8 cited

Supportive Fintech for Individuals with Bipolar Disorder: Financial Data Sharing Preferences to Support Longitudinal Care Management

Jeff Brozena, Johnna Blair, Thomas Richardson +4

Financial stability is a key challenge for individuals living with bipolar disorder (BD). Symptomatic periods in BD are associated with poor financial decision-making, contributing…

cs.HC2022★ 16 cited

Financial technologies (FinTech) for mental health: The potential of objective financial data to better understand the relationships between financial behavior and mental health

Johnna Blair, Jeff Brozena, Mark Matthews +2

In this paper, we present novel research methods for collecting and analyzing personal financial data alongside mental health factors, illustrated through a N=1 case study using da…