Matching Synthetic Populations with Personas: A Test Application for Urban Mobility

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Flore Vallet (1,2), Sebastian H
Series: DESIGN
Institution: 1: CentraleSup
Section: Artificial Intelligence and Data-Driven Design
Page(s): 1795-1804
DOI number: https://doi.org/10.1017/pds.2022.182
ISSN: 2732-527X (Online)

Abstract

Design is increasingly influenced by digitalisation yet differs largely across domains. We present synergies between the works of UX designers and data scientists. We can utilise personas to represent users and their behaviours, or synthetic populations to represent agent groups. Despite sharing characteristics, their synergies have not been explored so far. We propose a workflow and test it in the urban mobility context to link a synthetic population of Paris with a set of contextual personas. This builds the basis for an integrated approach for designing urban mobility across fields.

Keywords: user-centred design, data-driven design, inclusive design, persona, synthetic population