A1 Refereed original research article in a scientific journal

AI representing personas representing user groups: Applying the agency theory to examine interaction challenges of conversational personas as decision-making tools




AuthorsSalminen, Joni; Jung, Soon-Gyo; Kaate, Ilkka; Xuan, Trang Thi Thu; Azem, Jinan Y.; Aldous, Kholoud Khalil; Amin, Danial; Jansen, Bernard J.

PublisherElsevier BV

Publication year2026

Journal: Decision Support Systems

Article number114633

Volume205

ISSN0167-9236

eISSN1873-5797

DOIhttps://doi.org/10.1016/j.dss.2026.114633

Publication's open availability at the time of reportingOpen Access

Publication channel's open availability Partially Open Access publication channel

Web address https://doi.org/10.1016/j.dss.2026.114633

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/523238440

Self-archived copy's licenceCC BY

Self-archived copy's versionPublisher`s PDF


Abstract
The proliferation of artificial intelligence (AI) technologies has led to the rise of conversational decision-making support systems, such as dialogue persona systems that provide conversational access to various user segments. For example, product managers can ask personas about features before implementing them, politicians can learn about the needs of local communities through personas, and so on. Nascent research has looked at challenges when users interact with AI personas, but has not framed it as a principal–agent problem, in which the AI represents a persona that itself represents real people in the data. This setting exposes unique interaction challenges that decision makers face when engaging with AI-generated conversational personas, which we examine through a user study with 56 participants using AI-generated conversational personas. Our results indicate seven interaction challenges: (1) Hidden Information, (2) Hidden Personas, (3) Hidden UI, (4) Lack of AI Agency, (5) AI’s Selective Attention, (6) Confusing Distributional Information, and (7) Conversational Cold Start that we conceptually link with agency theory. We discuss how the interaction challenges could be alleviated and suggest directions for future work.

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