scispace - formally typeset
Open AccessJournal ArticleDOI

Engineering multiuser museum interactives for shared cultural experiences

Reads0
Chats0
TLDR
WeCurate is described, 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.
About
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2015-11-01 and is currently open access. It has received 5 citations till now. The article focuses on the topics: R-CAST & Group decision-making.

read more

Citations
More filters
Journal ArticleDOI

Digital interactive experiences in contemporary art museums

TL;DR: In this article, Yuzyil’da gerceklesen bir dizi teknolojik gelisme ile birlikte kultur-sanat etkinliklerinin uretim ve tuketim sekilleri de eszamanli olarak donusmektedir.
Book ChapterDOI

Electronic Institutions: The EI/EIDE Framework

TL;DR: The EI/EIDE framework that is presented in this chapter includes the formal metamodel (EI) for electronic institutions (Ei), and a particular development environment (EIDE) for implementing EI-based models.
Journal ArticleDOI

What would the matrix do?: a systematic review of K-12 AI learning contexts and learner-interface interactions

TL;DR: In this paper , a systematic review examines the empirical literature published between 2014 and 2021 that situates artificial intelligence within K-12 educational contexts and highlights artificial intelligence's instructional contexts and applications.

Yes, You Can Touch This: Designing Prototypes for Interactive Museum Spaces

TL;DR: The purpose of this study is to analyze the ways game design and interactive media can engage museum goers and improve information retention to determine the aspects of interactive media design that make it effective and ineffective, and use this criteria to develop prototypes.
References
More filters
Book

Discovery of Grounded Theory: Strategies for Qualitative Research

TL;DR: The Discovery of Grounded Theory as mentioned in this paper is a book about the discovery of grounded theories from data, both substantive and formal, which is a major task confronting sociologists and is understandable to both experts and laymen.
Book

Multiple Attribute Decision Making: Methods and Applications

TL;DR: In this paper, the authors present a classification of MADM methods by data type and propose a ranking method based on the degree of similarity of the MADM method to the original MADM algorithm.
Book ChapterDOI

Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems

TL;DR: Pastry as mentioned in this paper is a scalable, distributed object location and routing substrate for wide-area peer-to-peer ap- plications, which performs application-level routing and object location in a po- tentially very large overlay network of nodes connected via the Internet.
Journal ArticleDOI

On ordered weighted averaging aggregation operators in multicriteria decisionmaking

TL;DR: A type of operator for aggregation called an ordered weighted aggregation (OWA) operator is introduced and its performance is found to be between those obtained using the AND operator and the OR operator.
Related Papers (5)
Frequently Asked Questions (12)
Q1. What have the authors contributed in "Engineering multiuser museum interactives for shared cultural experiences" ?

In this paper, the authors 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. Throughout the paper, the authors describe the enabling technologies of WeCurate, the peer-to-peer EI infrastructure, the agent collective decision making capabilities and the multi-modal interface. The authors present a system evaluation based on data collected from cultural exhibitions in which WeCurate was used as supporting multiuser interactive. 

In terms of future work, the authors can improve user social engagement, the scene design and, the efficacy of the agent architecture in supporting the curation task. The authors also wish to revisit an idea that was in their earlier prototype [ 52 ], where an online image recommender was used to select images that matched the tag preferences of two users. On the other hand, they will likely require a new GUI design for maintaining the usability of the interface, a key element for conveying a sense of shared experience to the users of their system. A smarter method would be to extract a representation of images based on their potential for discussion by the group, as opposed to a simplistic, tag based metric. 

Social interaction and collaboration are key features for the development of a socio-technical system like the one described in this paper. 

Whilst the goal of the forum scene is to develop a sense of community discourse around an image (and the deletion a bubble tag of another user can foster the creation of new arguments), the goal of the argue scene is to support a “private” bilateral negotiation protocol that lets a user to persuade another one about the specifics of an image. 

The functions Tag, Val, Str and Conc return respectively the tag t of an argument ((t, v), w, im), its value v, its weight w, and the conclusion im. 

When reporting on their ability to express an opinion of the image in the questionnaire, 73% of participants felt they were able to express a preference in the select scene, and 81% reported that they could express opinions via the forum scene using the tags. 

A generic decision criterion for making a decision about the interestingness of an image imj can be defined as:int(imj) = { 1, if 0 < fagg(~r) ≤ 1 0, if − 1 ≤ fagg(~r) ≤ 0(1)where ~r = {r1(imj), . . . , rn(imj)} is a vector consisting of the image preferences of n users w.r.t. an image imj . 

Given the image preferences of all the users running in a select scene, the UserAssistant agent is responsible to decide whether the image (which is currently browsed) is interesting enough to be further discussed in a forum scene;• Forum Scene:– Automatic image preference slider updater: 

Please notice that, since the MCD is a decision criterion run by the agents participating to the EI, the authors can obtain a different behaviour of the group by plugging in another decision model. 

the weighted mean and the WOWA operators, since they depend on the number of zooms, and consequently, on the user activity, were more restrictive when selecting images. 

The analysis performed suggests that in the select scene, the arithmetic mean operator was not very sensitive at the moment of classifying the images, and for this reason, more images tended to go through the curation process, although they were finally rejected by voting. 

The motivation for introducing Device Managers, is that in a mobile network the present devices usually have varying capabilities, often limited, and therefore one should find a suitable balance of work load between the devices.