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AI Can See What You Can’t See: How LLM-Agents Complement Human-Based Gender-Inclusive Usability Testing

Year: 2026

Type: article

Source: ACM Transactions on Interactive Intelligent Systems

DOI: 10.1145/3801978

Authors: Joy Geuenich, Frank Joublin, Antonello Ceravola, Stefan Brandenburg, Jonathan Dodge

Institutions: Chemnitz University of Technology, Pennsylvania State University

Language: English

Topic: Usability and User Interface Design

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

SDGs: Gender equality, Reduced inequalities

Open Access status: closed

OpenAlex ID: W7135189149

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Cites: 24

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