research-article

Inferring Art Preferences from Gaze Exploration in a Museum

Authors:

Sylvain Castagnos,

Florian Marchal,

Alexandre Bertrand,

Djalila MahmoudiAuthors Info & Claims

UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization

Pages 425 - 430

https://doi.org/10.1145/3314183.3323871

Published: 06 June 2019 Publication History

Abstract

This paper is a first step towards identifying the links between the characteristics of gaze behaviour and visitor preferences in a museum. In the long term, the real-time analysis of visitors' gaze should allow a fine estimation of their interest for the different artworks exhibited and should replace the fastidious and time-consuming elicitation of preferences commonly used in traditional recommender systems. To study these links, we carried out a user study at the Nancy Museum of Fine Arts in the North-East of France. This pilot study involved 13 volunteers who had the opportunity to freely explore the museum and contemplate hundreds of artworks for more than 50 minutes on average in May 2018. We were able to analyze millions of fixation points so as to find correlations between the number of fixation points per painting, the time spent looking at a painting, and whether or not this painting is appreciated. We plan to extend this study to 100 visitors in the coming months.

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Cited By

Darzentas DCameron HWagner HCraigon PBodiaj ESpence JTennent PBenford S(2022)Data-inspired co-design for museum and gallery visitor experiencesArtificial Intelligence for Engineering Design, Analysis and Manufacturing10.1017/S089006042100031736Online publication date: 9-Feb-2022
https://doi.org/10.1017/S0890060421000317
Kavvetsos GKatsini CRaptis G(2021)Introducing Privacy Preservation in Personalized Cultural Heritage ApplicationsAdjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3463388(194-198)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450614.3463388
Yilma BNaudet YPanetto H(2021)Personalisation in Cyber-Physical-Social Systems: A Multi-stakeholder aware Recommendation and GuidanceProceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450613.3456847(251-255)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450613.3456847
Show More Cited By

Index Terms

Inferring Art Preferences from Gaze Exploration in a Museum
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems

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Published In

cover image ACM Conferences

UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization

June 2019

455 pages

ISBN:9781450367110

DOI:10.1145/3314183

General Chairs:
George Angelos Papadopoulos
University of Cyprus, Cyprus
,
George Samaras
University of Cyprus, Cyprus
,
Stephan Weibelzahl
PFH Private University of Applied Sciences Göttingen, Germany
,
Program Chairs:
Dietmar Jannach
Alpen-Adria-Universität Klagenfurt, Austria
,
Olga C. Santos
aDeNu Research Group - UNED, Spain

Copyright © 2019 ACM.

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Publication History

Published: 06 June 2019

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European Union's Horizon 2020 research and innovation programme

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UMAP '19

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UMAP '19: 27th Conference on User Modeling, Adaptation and Personalization

June 9 - 12, 2019

Larnaca, Cyprus

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UMAP'19 Adjunct Paper Acceptance Rate 30 of 122 submissions, 25%;

Overall Acceptance Rate 162 of 633 submissions, 26%

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33rd ACM Conference on User Modeling, Adaptation and Personalization

June 16 - 19, 2025

New York City , NY , USA

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Cited By

Darzentas DCameron HWagner HCraigon PBodiaj ESpence JTennent PBenford S(2022)Data-inspired co-design for museum and gallery visitor experiencesArtificial Intelligence for Engineering Design, Analysis and Manufacturing10.1017/S089006042100031736Online publication date: 9-Feb-2022
https://doi.org/10.1017/S0890060421000317
Kavvetsos GKatsini CRaptis G(2021)Introducing Privacy Preservation in Personalized Cultural Heritage ApplicationsAdjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3463388(194-198)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450614.3463388
Yilma BNaudet YPanetto H(2021)Personalisation in Cyber-Physical-Social Systems: A Multi-stakeholder aware Recommendation and GuidanceProceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450613.3456847(251-255)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450613.3456847
Vinnikov MMotahari KHamilton LAltin B(2021)Understanding Urban Devotion through the Eyes of an ObserverACM Symposium on Eye Tracking Research and Applications10.1145/3448018.3458003(1-6)Online publication date: 25-May-2021
https://dl.acm.org/doi/10.1145/3448018.3458003
Ryding KSpence JLøvlie ABenford S(2021)Interpersonalizing Intimate Museum ExperiencesInternational Journal of Human–Computer Interaction10.1080/10447318.2020.187082937:12(1151-1172)Online publication date: 1-Feb-2021
https://doi.org/10.1080/10447318.2020.1870829

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