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abstract

Using Eye Movement Data and Visit Contexts to Understand the Experience of Museum Visitors

Authors:

Yuan-Chi Tseng,

Sheng-Fu LiangAuthors Info & Claims

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: LBW598, Pages 1 - 6

https://doi.org/10.1145/3170427.3188587

Published: 20 April 2018 Publication History

Abstract

To understand visitor experience is an important task for curators to provide visitors with a suitable experience and learning context. But due to human memory liMassachusetts Institute of Technologyations, it is often not enough to rely on the description of overall experience of visitors in the post-interview session. Here, we developed a system that uses the commercial JINS MEME glasses and our own analysis software to help curators explore possible experiential touch points throughout the visit journey of museum. This study shows that eye movement data and visit contexts could be used together to help curators, in addition to measuring the overall visitor experience, focus more on visitor experience at special moments in order to more effectively design and plan exhibition and museum services.

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Digital Library

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Cited By

Bezgin MTüfekçi İAtak B(2024)Üniversite Öğrencilerinin NFT Eser ve Klasik Esere Odaklanma Düzeyleri ve Satın Alma Niyetlerinin BelirlenmesiYedi10.17484/yedi.1486913(253-266)Online publication date: 28-Nov-2024
https://doi.org/10.17484/yedi.1486913
Breitner ABandung Y(2024)Calculation of Museum Collections Popularity Using Detection and Tracking of Visitors From Surveillance Cameras in Low Light Conditions2024 International Seminar on Intelligent Technology and Its Applications (ISITIA)10.1109/ISITIA63062.2024.10667676(316-321)Online publication date: 10-Jul-2024
https://doi.org/10.1109/ISITIA63062.2024.10667676
Kwon DYu J(2023)Real-time Multi-CNN-based Emotion Recognition System for Evaluating Museum Visitors’ SatisfactionJournal on Computing and Cultural Heritage 10.1145/363112317:1(1-18)Online publication date: 30-Oct-2023
https://dl.acm.org/doi/10.1145/3631123
Show More Cited By

Index Terms

Using Eye Movement Data and Visit Contexts to Understand the Experience of Museum Visitors
1. Human-centered computing

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Published In

cover image ACM Conferences

CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

3155 pages

ISBN:9781450356213

DOI:10.1145/3170427

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

Copyright © 2018 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2018

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SIGCHI

CHI '18: CHI Conference on Human Factors in Computing Systems

April 21 - 26, 2018

Montreal QC, Canada

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CHI EA '18 Paper Acceptance Rate 1,208 of 3,955 submissions, 31%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

Bezgin MTüfekçi İAtak B(2024)Üniversite Öğrencilerinin NFT Eser ve Klasik Esere Odaklanma Düzeyleri ve Satın Alma Niyetlerinin BelirlenmesiYedi10.17484/yedi.1486913(253-266)Online publication date: 28-Nov-2024
https://doi.org/10.17484/yedi.1486913
Breitner ABandung Y(2024)Calculation of Museum Collections Popularity Using Detection and Tracking of Visitors From Surveillance Cameras in Low Light Conditions2024 International Seminar on Intelligent Technology and Its Applications (ISITIA)10.1109/ISITIA63062.2024.10667676(316-321)Online publication date: 10-Jul-2024
https://doi.org/10.1109/ISITIA63062.2024.10667676
Kwon DYu J(2023)Real-time Multi-CNN-based Emotion Recognition System for Evaluating Museum Visitors’ SatisfactionJournal on Computing and Cultural Heritage 10.1145/363112317:1(1-18)Online publication date: 30-Oct-2023
https://dl.acm.org/doi/10.1145/3631123
Nubani LÖztürk A(2021)Measuring the Impact of Museum Architecture, Spaces and Exhibits on Virtual Visitors Using Facial Expression Analysis SoftwareBuildings10.3390/buildings1109041811:9(418)Online publication date: 18-Sep-2021
https://doi.org/10.3390/buildings11090418
Yi TChang MHong SLee J(2020)Use of Eye-tracking in Artworks to Understand Information Needs of VisitorsInternational Journal of Human–Computer Interaction10.1080/10447318.2020.181845737:3(220-233)Online publication date: 14-Sep-2020
https://doi.org/10.1080/10447318.2020.1818457
Yi TChang MHong SKim MLee J(2020)A Study on Understanding of Visitor Needs in Art Museum: Based on Analysis of Visual Perception Through Eye-TrackingIntelligent Human Systems Integration 202010.1007/978-3-030-39512-4_172(1132-1137)Online publication date: 22-Jan-2020
https://doi.org/10.1007/978-3-030-39512-4_172
Kuo NCheng YChang KHu S(2018)Assessing the asymmetric impact of interpretation environment service quality on museum visitor experience and post-visit behavioral intentions: a case study of the National Palace MuseumAsia Pacific Journal of Tourism Research10.1080/10941665.2018.148875323:7(714-733)Online publication date: 20-Jun-2018
https://doi.org/10.1080/10941665.2018.1488753

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