Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception

Fuente: arXiv
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Main Authors: da Silva, Neemias, Delgado, Myriam, Minetto, Rodrigo, Silver, Daniel, Silva, Thiago H
Format: Preprint
Published: 2026
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author da Silva, Neemias
Delgado, Myriam
Minetto, Rodrigo
Silver, Daniel
Silva, Thiago H
author_facet da Silva, Neemias
Delgado, Myriam
Minetto, Rodrigo
Silver, Daniel
Silva, Thiago H
contents We study how persona prompting shapes language generated by multimodal large language models in an urban perception setting. Using 59,808 annotations from 1,200 persona-conditioned agents and two no-persona settings, we analyze captions, justifications, and perception tags across personas. Results indicate strong convergence in captions for different personas, whereas justifications display systematic variation associated with socioeconomic and political attributes, while perception tags show no statistically significant persona-related differences, though effect trends are observed. Topic analysis further reveals that personas emphasize different evaluative themes when interpreting the same scenes.
format Preprint
id arxiv_https___arxiv_org_abs_2605_29064
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception
da Silva, Neemias
Delgado, Myriam
Minetto, Rodrigo
Silver, Daniel
Silva, Thiago H
Computation and Language
Computer Vision and Pattern Recognition
Human-Computer Interaction
Multiagent Systems
We study how persona prompting shapes language generated by multimodal large language models in an urban perception setting. Using 59,808 annotations from 1,200 persona-conditioned agents and two no-persona settings, we analyze captions, justifications, and perception tags across personas. Results indicate strong convergence in captions for different personas, whereas justifications display systematic variation associated with socioeconomic and political attributes, while perception tags show no statistically significant persona-related differences, though effect trends are observed. Topic analysis further reveals that personas emphasize different evaluative themes when interpreting the same scenes.
title Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception
topic Computation and Language
Computer Vision and Pattern Recognition
Human-Computer Interaction
Multiagent Systems
url https://arxiv.org/abs/2605.29064