Empowering a creative city: engage citizens in creating street art through human-AI collaboration

Zhuying Li, Yan Wang, Wei Wang, Stefan Greuter, Florian Floyd Mueller

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

2 Citations (Scopus)

Abstract

A "creative city" can promote creativity among its citizens and provide them fulfilling lived experience. Such a concept has captivated city authorities worldwide, and motivated plenty of works to investigate how to make our cities more "creative". We argue that there is a need and an opportunity to design interactive technologies to push the creative city agenda. In this paper, we present WeMonet, a design prototype supporting citizens engaging in participatory street art creation via human-AI collaboration. Citizens' sketches are synthesized, enhanced to be more vivid through machine machine learning algorithms, and projected on a screen, forming a participatory artwork. WeMonet aims to promote citizens' engagement in creative practices and hence the city's creativity. More broadly speaking, we hope this work could inspire designers to consider the role of interaction design in the creative city agenda.

Original languageEnglish
Title of host publicationCHI'20 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
EditorsJoanna McGrenere, Andy Cockburn
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
ISBN (Electronic)9781450368193
DOIs
Publication statusPublished - 2020
EventInternational Conference on Human Factors in Computing Systems 2020 - Honolulu , United States of America
Duration: 25 Apr 202030 Apr 2020
Conference number: 38th
https://chi2020.acm.org (Website)
https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings)

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2020
Abbreviated titleCHI 2020
Country/TerritoryUnited States of America
CityHonolulu
Period25/04/2030/04/20
Internet address

Keywords

  • Civic engagement
  • Creative city
  • Design
  • Machine learning
  • Participatory art

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