Personality engineering with AI agents: A new methodology for negotiation research
According to canonical negotiation theory, people's success in a negotiation depends on how well they balance competing demands--empathizing and asserting, demonstrating concern for other and concern for self, being soft on the people and hard on the problem. Yet people struggle to manage these tensions, so researchers have lacked the ability to rigorously test the field's prescriptions under controlled conditions. AI agents do not face the same limitations, and their precision, repertoire, consistency, and scalability enable a new class of experiments to contribute to negotiation theory. In this article, we introduce personality engineering--a methodology that precisely parameterizes the...
| Authors | Michelle A. Vaccaro, Jared R. Curhan |
|---|---|
| Primary category | cs.AI |
| Published | 19 May 2026 |
| Last updated at source | 11 September 2026 |
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