Privacy calculus and disclosure in LLMs: The role of privacy controls, nudges, and perceived anthropomorphism

Shantanu Dey

doi:10.1016/j.ijinfomgt.2026.103071

Privacy calculus and disclosure in LLMs: The role of privacy controls, nudges, and perceived anthropomorphism

2026-04-10

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AI

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Shantanu Dey

S

Saurabh Kumar *

DOI：10.1016/j.ijinfomgt.2026.103071

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Abstract

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• Explores privacy concerns and disclosure behavior in LLM-powered conversational AI agents. • Integrates privacy calculus and boundary management theories to develop a conceptual model. • Finds that privacy controls reduce concerns, while nudges and anthropomorphism enhance perceived benefits. • Offers design insights for creating privacy-preserving, user-trusting generative AI systems.

Keywords:

Privacy calculus

Disclosure behavior

Privacy controls

Nudges

Anthropomorphism

Privacy calculus and disclosure in LLMs: The role of privacy controls, nudges, and perceived anthropomorphism

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