---
title: Generic Personas in AI & HCI Research
url: https://www.emergentmind.com/topics/generic-personas
type: topic
---

# Generic Personas in AI & HCI Research

Generic personas are text-based constructs that operationalize broad, non-individualized human characteristics—such as demographic categories, occupational roles, or prototypical behavioral styles—for purposes of user simulation, personalization, agentic behavioral modeling, and system evaluation in AI and human-computer interaction research. Unlike bespoke personas tailored to fine-grained users or task-specific experts, generic personas encapsulate widely understood archetypes or groups, providing a scalable mechanism for probing system behavior, stress-testing value alignment, and surfacing sociotechnical biases.

## 1. Definition and Taxonomy of Generic Personas

Generic personas may be defined as instruction-level roles composed of broad, archetypal features—such as "a man," "a woman," "a helpful assistant," or "an engineer"—rather than individuated identities or narrative-rich character biographies. These personas are typically injected into prompts with a pattern such as "You are {persona}. Your responses should closely mirror the knowledge and abilities of this persona," shifting language model (LM) outputs to simulate the background, values, and reasoning associated with that archetype [2409.11636][2407.02099][2310.05280].

Several datasets formalize the axes and label spaces of generic personas. The UNIVERSALPERSONA framework systematizes 162 distinct personas across nine generic axes: Gender, Race, Sexual Orientation, Social Class, Education, Profession, Religious Belief, Political Ideology, and Disability [2310.05280]. Each axis contains high-level labels such as "an Asian person," "a lower-class person," or "a Christian," enabling

Source: https://www.emergentmind.com/topics/generic-personas