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WeCurate: multiuser museum interactives for shared cultural experiences

Published: 27 April 2013 Publication History

Abstract

WeCurate is a multiuser museum interactive system that allows users to collaboratively create a virtual exhibition from a cultural image archive. WeCurate provides a synchronised image browser across multiple devices to enable a group of users to work together to curate a collection of images, through negotiation and collective decision making. This paper reports on the findings of a five day trial of WeCurate when it was installed at a major London museum. This paper focuses exclusively on the scope and characteristics of the social experience afforded through the collaborative use of the system.

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Cited By

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  • (2020)Innovation, Technology and User Experience in Museums: Insights from Scientific LiteratureComputational Science and Its Applications – ICCSA 202010.1007/978-3-030-58799-4_59(819-832)Online publication date: 1-Jul-2020
  • (2015)Engineering multiuser museum interactives for shared cultural experiencesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.08.01346:PA(180-195)Online publication date: 1-Nov-2015

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  1. WeCurate: multiuser museum interactives for shared cultural experiences

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    cover image ACM Conferences
    CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
    April 2013
    3360 pages
    ISBN:9781450319522
    DOI:10.1145/2468356
    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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    Publication History

    Published: 27 April 2013

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    Author Tags

    1. decision making
    2. museum technologies
    3. social negotiation

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    CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    View all
    • (2020)Innovation, Technology and User Experience in Museums: Insights from Scientific LiteratureComputational Science and Its Applications – ICCSA 202010.1007/978-3-030-58799-4_59(819-832)Online publication date: 1-Jul-2020
    • (2015)Engineering multiuser museum interactives for shared cultural experiencesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2015.08.01346:PA(180-195)Online publication date: 1-Nov-2015

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