Alexander Erlei

schoolUniversity of Goettingenbar_chart#1677 Global Rank

Total Papers

HCI Rank

#1677

Research Areas

Years Active

Recent Publications

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

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 domains with different reliability profiles. Understanding how such beliefs transfer across tasks and shape delegation is critical for the desig…

CHI '261st AuthorExplainable AI (XAI) +2

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

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 defects. While there have been regulatory efforts surrounding different forms of disclosure, large information gaps remain. This paper provides…

CHI '261st AuthorHonorable MentionPrivacy Perception & Decision-Making +3

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

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-subjects experiment (N=610) examining how risk versus ambiguity about privacy leaks affects the adoption of AI personalization. Participants…

CHI '252nd AuthorMultilingual & Cross-Cultural Voice Interaction +2

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

Recent advances in generative AI have precipitated a proliferation of novel writing assistants. These systems typically rely on multilingual large language models (LLMs), providing globalized workers the ability to revise or create diverse forms of content in different languages. However, there is substantial evidence…

CHI '241st AuthorAI-Assisted Decision-Making & Automation +1

Understanding Choice Independence and Error Types in Human-AI Collaboration

The ability to make appropriate delegation decisions is an important prerequisite of effective human-AI collaboration. Recent work, however, has shown that people struggle to evaluate AI systems in the presence of forecasting errors, falling well short of relying on AI systems appropriately. We use a pre-registered cr…

CHI '221st AuthorAI-Assisted Decision-Making & Automation +1

For What It's Worth: Humans Overwrite Their Economic Self-Interest to Avoid Bargaining With AI Systems

As algorithms are increasingly augmenting and substituting human decision-making, understanding how the introduction of computational agents changes the fundamentals of human behavior becomes vital. This pertains to not only users, but also those parties who face the consequences of an algorithmic decision. In a contr…

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