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Museum Experience Design

Overview of attention for book
Cover of 'Museum Experience Design'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Future Museum Experience Design: Crowds, Ecosystems and Novel Technologies
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    Chapter 2 Supporting Social Engagement for Young Audiences with Serious Games and Virtual Environments in Museums
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    Chapter 3 Design Is Not for Us: Engaging a New Audience for the Design Museum by Changing Their Expectations
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    Chapter 4 Crowdsourcing Ideas for Augmented Reality Museum Experiences with Children
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    Chapter 5 Experiencing the Art Museum: Methods for Public Engagement
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    Chapter 6 Crowd Mining Applied to Preservation of Digital Cultural Heritage
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    Chapter 7 Paid Crowdsourcing as Concept and Content Generator to Enhance Museum Experiences
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    Chapter 8 The Value of User-Centric Crowdsourcing for Cultural Heritage: Fostering Emotional Engagement with Integrity
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    Chapter 9 One Museum, Multiple Doors—Design for Experience of Living Cultural Heritage for Different Stakeholders
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    Chapter 10 Augmenting the Experience of a Museum Visit with a Geo-Located AR App for an Associated Archaeological Site
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    Chapter 11 Interactive and Social Technology: Challenges and Opportunities for Museums and Heritage Institutions in Latin America
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    Chapter 12 Using Mobile Technologies to Capture the Visitor Experience
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    Chapter 13 A Critical Reflection on Three Paradigms in Museum Experience Design
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    Chapter 14 Becoming Vincent: A Multifaceted Story in a Multifaceted Ecosystem
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    Chapter 15 Designing Trajectories of Experiences: In Museums, Around Museums, or Including Museums
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    Chapter 16 The Museum as Ecosystem and Museums in Learning Ecosystems
Overall attention for this book and its chapters
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Mentioned by

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6 tweeters

Citations

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9 Dimensions

Readers on

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27 Mendeley
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Title
Museum Experience Design
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-58550-5
ISBNs
978-3-31-958549-9, 978-3-31-958550-5
Editors

Arnold Vermeeren, Licia Calvi, Amalia Sabiescu

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 44%
Lecturer > Senior Lecturer 3 11%
Student > Bachelor 3 11%
Professor > Associate Professor 2 7%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 3 11%
Readers by discipline Count As %
Computer Science 9 33%
Design 4 15%
Psychology 3 11%
Arts and Humanities 3 11%
Social Sciences 2 7%
Other 3 11%
Unknown 3 11%