Hava Orkut

Papers

Total Citations

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About

Hava Orkut is a pioneering researcher at the intersection of human-computer interaction, behavioral finance, and artificial intelligence. Her work fundamentally explores how people trust and engage with automated systems, particularly in high-stakes financial contexts. Orkut’s major contribution lies in demonstrating that anthropomorphic features—such as robot gender and human-like design—significantly shape user trust in robo-advisory services, a finding with profound implications for the ethical deployment of AI in finance. Her most-cited paper (2024, 29 citations) provides critical evidence that the perceived “humanity” of a financial advisor robot directly influences investment behavior, challenging the assumption of purely rational decision-making in fintech. This work has quickly become a cornerstone for researchers studying trust in autonomous systems. Beyond this, Orkut’s research agenda continues to probe the psychological and social dynamics of human-AI interaction, making her a leading voice in responsible AI design. Her insights are not only academically influential but also practically vital for developers and policymakers aiming to build equitable, trustworthy financial technologies that serve diverse populations.