Logo
Logo

Goldsmiths - University of London

Engineering multiuser museum interactives for shared cultural experiences

Confalonieri, Roberto; Yee-King, Matthew; Hazelden, Katina; d'Inverno, Mark; De Jonge, Dave; Osman, Nardine; Sierra, Carles; Agmoud, Leila and Prade, Henri. 2015. Engineering multiuser museum interactives for shared cultural experiences. Engineering Applications of Artificial Intelligence, 46(Part A), pp. 180-195. ISSN 0952-1976 [Article]

No full text available
[img] Text
COM_d'Inverno_et_al._2015.pdf - Accepted Version
Permissions: Administrator Access Only until November 2017.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB)

Abstract or Description

Multiuser museum interactives are computer systems installed in museums or galleries which allow several visitors to interact together with digital representations of artefacts and information from the museum׳s collection. In this paper, we describe WeCurate, a socio-technical system that supports co-browsing across multiple devices and enables groups of users to collaboratively curate a collection of images, through negotiation, collective decision making and voting. The engineering of such a system is challenging since it requires to address several problems such as: distributed workflow control, collective decision making and multiuser synchronous interactions. The system uses a peer-to-peer Electronic Institution (EI) to manage and execute a distributed curation workflow and models community interactions into scenes, where users engage in different social activities. Social interactions are enacted by intelligent agents that interface the users participating in the curation workflow with the EI infrastructure. The multiagent system supports collective decision making, representing the actions of the users within the EI, where the agents advocate and support the desires of their users e.g. aggregating opinions for deciding which images are interesting enough to be discussed, and proposing interactions and resolutions between disagreeing group members. Throughout the paper, we describe the enabling technologies of WeCurate, the peer-to-peer EI infrastructure, the agent collective decision making capabilities and the multi-modal interface. We present a system evaluation based on data collected from cultural exhibitions in which WeCurate was used as supporting multiuser interactive.

Item Type: Article

Identification Number (DOI):

10.1016/j.engappai.2015.08.013

Additional Information:

This work is supported by the Collective Mind project (Spanish Ministry of Economy and Competitiveness, under Grant number TEC2013-49430-EXP), the PRAISE project (funded by the European Commission, under Grant number 388770), and the ACE project (funded by the European framework ERA-Net CHIST-ERA, under contract CHRI-001-03).

Keywords:

Distributed artificial intelligence; Collective decision making; Argumentation; Negotiation

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
November 2015Published

Item ID:

16952

Date Deposited:

01 Mar 2016 13:43

Last Modified:

20 Jun 2017 13:18

URI: http://research.gold.ac.uk/id/eprint/16952

View statistics for this item...

Edit Record Edit Record (login required)