Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Poster World. Bespoke AI Meets Curator Expertise for Public Engagement
 
research article

Poster World. Bespoke AI Meets Curator Expertise for Public Engagement

Andrade, André  
•
Défayes, Lara  
•
Groves, Emily Clare  
Show more
December 28, 2022
Pages on Art and Design

Though museums are digitising their archives, online consultations remain low. New forms of engagement bring these digital memories to life and can support museums in maintaining and developing digital resources. Artificial Intelligence presents opportunities to showcase this rich heritage, but it also raises issues of transparency and cultural relevance. We explored these questions through a collaboration with Zürich’s Museum für Gestaltüng on its unique poster collection. We looked at how calculating similarities between digitised documents could create new user experiences with emotional and cognitive impact. Throughout the project, designers worked with engineers to investigate bespoke algorithms and graphic representations of their outputs. After an initial state of the art and preliminary tests, we developed three scenarios for a museum installation. Investigating three hypotheses, we evaluated the prototype scenarios with user experience psychology protocols. Our results show the value of combining artificial intelligence with curator expertise, the impact of similarities extracted by mathematical modelling and the importance of how they are visualised. We also found no significant difference between the perception of novices and experts in our results. This fosters a strategy for museums which brings different audiences together. The final installation, which combines elements from all three scenarios, opened to the public at the Museum in February 2022.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

23PAD-122022.pdf

Type

Publisher

Version

Published version

Access type

openaccess

License Condition

CC BY-NC-ND

Size

29.52 MB

Format

Adobe PDF

Checksum (MD5)

2767578f3e5e2c7cd187112ce431aab7

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés