Bilingual Ambiguity Mental Models: Communication Strategies in Human vs. AI Interaction
Comparing communication strategies in human-human versus human-LLM interactions to understand how cognitive constraints shape strategy adoption in resolving bilingual ambiguity.
Comparing communication strategies in human-human versus human-LLM interactions to understand how cognitive constraints shape strategy adoption in resolving bilingual ambiguity.
Highlights
- Designing and conducting behavioral experiments in Mandarin Chinese using a Codenames-style paradigm to elicit and evaluate interactive communication data.
- Developing computational models utilizing Rational Speech Act (RSA) and Resource Rationality frameworks to formalize and analyze strategic decision-making processes.
Metadata
- Context: Research Project of Stanford Social Interaction Lab
- Role: Research Assistant
- Timeline: Feb 2026 - Present