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20242026
most citedBelief Updating and Delegation in Multi-Task Human-AI Interaction: Evidence from Controlled Simulations

4 citations · 5 across the 8 of their papers we have counts for

collaborators

9 papers

cs.HC2026

The Belief Update Gate: Separating Inertia from Learning in Human-AI Interaction

Shreyan Biswas, Alexander Erlei, Ujwal Gadiraju

Repeated human-AI interaction is often analyzed through pooled belief-updating slopes: users observe AI successes and failures, revise reported beliefs in the feedback-consistent d…

econ.GN2026

LLM-Agent Interactions on Markets with Information Asymmetries

Alexander Erlei, Lukas Meub

As AI agents increasingly act on behalf of human stakeholders in economic settings, understanding their behavior in complex market environments becomes critical. This article exami…

cs.HC2026

The Data-Dollars Tradeoff: Privacy Harms vs. Economic Risk in Personalized AI Adoption

Alexander Erlei, Tahir Abbas, Kilian Bizer +1

Privacy concerns significantly impact AI adoption, yet little is known about how information environments shape user responses to data leak threats. We conducted a 2 x 3 between-su…

cs.HC2026★ 4 cited

Belief Updating and Delegation in Multi-Task Human-AI Interaction: Evidence from Controlled Simulations

Shreyan Biswas, Alexander Erlei, Ujwal Gadiraju

Large language models (LLMs) increasingly support heterogeneous tasks within a single interface, requiring users to form, update, and act upon beliefs about one system across domai…

cs.HC2026

When Life Gives You AI, Will You Turn It Into A Market for Lemons? Understanding How Information Asymmetries About AI System Capabilities Affect Market Outcomes and Adoption

Alexander Erlei, Federico Cau, Radoslav Georgiev +3

AI consumer markets are characterized by severe buyer-supplier market asymmetries. Complex AI systems can appear highly accurate while making costly errors or embedding hidden defe…

econ.GN2025

From Digital Distrust to Codified Honesty: Experimental Evidence on Generative AI in Credence Goods Markets

Alexander Erlei

Generative AI is transforming the provision of expert services. This article uses a series of one-shot experiments to quantify the behavioral, welfare and distribution consequences…

cs.CL2025

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages

Shreyan Biswas, Alexander Erlei, Ujwal Gadiraju

Recent advances in generative AI have precipitated a proliferation of novel writing assistants. These systems typically rely on multilingual large language models (LLMs), providing…

econ.GN2024★ 1 cited

Consumer Behavior under Benevolent Price Discrimination

Alexander Erlei, Mattheus Brenig, Nils Engelbrecht

Extensive research shows that consumers are generally averse to price discrimination. However, instruments of differential pricing can benefit consumer surplus and alleviate inequi…

econ.GN2024

Reputation-Driven Adoption and Avoidance of Algorithmic Decision Aids in Credence Goods Markets

Alexander Erlei, Lukas Meub

In credence goods markets such as health care or repair services, consumers rely on experts with superior information to adequately diagnose and treat them. Experts, however, are c…