most citedCreating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articles

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Do Not Trust the Benchmark: Limitations of General LLM Rankings and a Case for Task-Specific Evaluation

Danial Amin

Benchmark scores increasingly influence the development, marketing, and selection of large language models (LLMs). Yet an overall score is interpretable only in relation to the sys…

cs.HC2026★ 1 cited

How to Model AI Agents as Personas?: Applying the Persona Ecosystem Playground to 41,300 Posts on Moltbook for Behavioral Insights

Danial Amin, Joni Salminen, Bernard J. Jansen

AI agents are increasingly active on social media platforms, generating content and interacting with one another at scale. Yet the behavioral diversity of these agents remains poor…

cs.AI2026

Bayesian Orchestration of Multi-LLM Agents for Cost-Aware Sequential Decision-Making

Danial Amin

Large language models (LLMs) are increasingly deployed as autonomous decision agents in settings with asymmetric error costs: hiring (missed talent vs wasted interviews), medical t…

cs.HC2025★ 2 cited

Using AI for User Representation: An Analysis of 83 Persona Prompts

Joni Salminen, Danial Amin, Bernard Jansen

We analyzed 83 persona prompts from 27 research articles that used large language models (LLMs) to generate user personas. Findings show that the prompts predominantly generate sin…

cs.HC2025★ 3 cited

Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articles

Danial Amin, Joni Salminen, Farhan Ahmed +3

As generative AI (GenAI) is increasingly applied in persona development to represent real users, understanding the implications and limitations of this technology is essential for…