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Enregistrement W1592536978 · doi:10.15353/joci.v9i3.3161

Museums as Living Labs Challenge, Fad or Opportunity?

2013· article· en· W1592536978 sur OpenAlexvenueno aff
Mariana Salgado

Notice bibliographique

RevueThe Journal of Community Informatics · 2013
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInnovative Approaches in Technology and Social Development
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLiving labWork (physics)Public relationsInformation and Communications TechnologyProcess (computing)Cultural heritageSociologyComputer scienceWorld Wide WebPolitical scienceEngineering

Résumé

récupéré en direct d'OpenAlex

On the basis of case studies in Finland, this paper describes and analyzes how the museum community has designed, integrated and implemented ICT in its organizations. The museum community has participated in the development of a conceptual framework for ICT services as well as the resources required to put them to use. Due to the similarity between this sort of work and the tasks performed at living labs, I believe that museums could benefit from dialoguing with living labs about their methods, networks and new technologies, indeed their entire ecosystems. Living labs include the public, private and civil sectors as key actors as they generate and test new products and services. They are spaces of innovation that engage these actors at the different phases of development. But most importantly, the use of living labs’ user-centered design methods is becoming much more widespread. Museums create and use products and services to further their mission of conserving, researching and communicating our common cultural heritage. This paper addresses how museums can make use of and benefit from living labs in their attempts to open their institutions to new audiences and enhance audience participation. This paper also discusses how communities can actively participate in the creation of museum programs and activities. The existing literature (Eriksson, Niitamo, Kulkki & Hribernik, 2006, Eskola, 2011) describes the work carried out at living labs and contrasts it with work done in museums in Helsinki where interactive pieces have been produced and implemented through a co-design process involving external collaborators, audience and museum staff. My hypothesis is that if cultural institutions like museums, exhibition halls, libraries and cultural centers acted like living labs, or took part in their activities, they could begin a dialogue with other strategic partners, including an array of research units, and the civil and private sectors. Rather than fostering innovation in their own spaces and based on their audiences’ needs, museums currently use technological solutions designed for other contexts, adapting theme to fit their needs. By changing the way that museums refer to themselves and their partnerships, it might be possible not only to shed light on possible collaboration strategies but also to review the role of museums in society and the future. Though the term “living lab” might be a fad, in the context of this publication it may help facilitate participation in and collaboration with the museum community. This paper also contrasts museums and living labs to highlight their common interest and possible points of convergence. As a result of my research, I believe that museums need to renovate in order to better incorporate ICTs with a user-centered design approach into their communities. User-centered design (UCD) is an approach and a process that heeds the needs, desires, and limitations of a product’s or service's end users at each stage of the design process. UCD has been widely applied due to its ability to help people appropriate and incorporate new technologies. UCD is a design philosophy and a process.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,427
Score d'incertitude au seuil0,650

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,002
Science ouverte0,0010,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,068
Tête enseignante GPT0,270
Écart entre enseignants0,202 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2013
Routes d'admission1
Résumé présentoui

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