Crowdsourcing and Knowledge Co-creation in Virtual Museums

Biella, Daniel; Sacher, Danièl; Weyers, Benjamin; Luther, Wolfram; Baloian, Nelson; Schreck, Tobias

doi:10.1007/978-3-319-22747-4_1

Cited by 12 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, the Australia Newspaper Digitization Project (ANDP), initiated by the National Library of Australia, is dedicated to improving the searchability of digitized newspaper items using crowdsourced corrections of the text generated by the Optical Character Recognition (OCR) tools (Zhang et al, 2022). For another example, Biella et al (2016) proposed a practice‐driven approach to support crowdsourcing and co‐curation in virtual museums by engaging nonprofessionals in creating digital 2D or 3D exhibits.…”

Section: Core Genres Of Vccmentioning

confidence: 99%

Value co‐creation in cultural heritage information practices: Literature review and future agenda: An Annual Review of Information Science and Technology (ARIST) paper

Zhao,

Lian,

Zhang

et al. 2023

Asso for Info Science & Tech

View full text Add to dashboard Cite

Value co‐creation as a research topic has been a critical proposition of interest to a wide range of disciplines. In recent years, the field of cultural heritage has also developed a range of information practices to promote different forms of value co‐creation. While the body of literature has begun to accumulate, we still lack a comprehensive understanding of conceptual foundations and how value co‐creation is implemented in cultural heritage information practices. This paper conducted a hermeneutic literature review to understand and conceptualize the core aspects of value co‐creation in various cultural heritage information works. In particular, this paper provides a research mapping of the genres of co‐creation in cultural heritage information practices, the actors, and the roles played by the stakeholders. Further, this review provides an overview of the dominant value co‐creation models in the cultural heritage field. It distills the drivers of value co‐creation and the core value consequences that arise from a process perspective. Finally, this paper puts forward a thematic, theoretical, and methodological agenda for future work based on these findings. The review contributes to the literature by proposing an integrated conceptual framework that summarizes the core elements of value co‐creation in cultural heritage information practices. The framework also serves as a call for action, providing a general understanding of the conceptual foundation for future research.

show abstract

Section: Core Genres Of Vccmentioning

confidence: 99%

Value co‐creation in cultural heritage information practices: Literature review and future agenda: An Annual Review of Information Science and Technology (ARIST) paper

Zhao,

Lian,

Zhang

et al. 2023

Asso for Info Science & Tech

View full text Add to dashboard Cite

show abstract

“…Automated recommender platforms support users in selecting appropriate software frameworks, interfaces, and interaction styles. For reliable methods, several recommendation frameworks were developed in [3,8,41]. Visualization tools or techniques and metrics can be recommended depending on the data category [35] and requirements for the quality criteria.…”

Section: General Vandv Assessmentmentioning

confidence: 99%

“…It enables dynamic generation and publication of arbitrary room designs and generates virtual museum (VM) environments according to given parameters and metadata designs specified in the VM modeling language ViMCOX. It was used to implement a virtual version of the Leopold Fleischhacker Museum (LFM) within a four-year crowdsourcing project [8]. A virtual version of LFM consists primarily of annotated photographs and reconstructed tombstones.…”

Section: Vandv Assessment -Various Examplesmentioning

confidence: 99%

Reliable Visual Analytics, a Prerequisite for Outcome Assessment of Engineering Systems

2020

Self Cite

View full text Add to dashboard Cite

Various evaluation approaches exist for multi-purpose visual analytics (VA) frameworks. They are based on empirical studies in information visualization or on community activities, for example, VA Science and Technology Challenge (2006-2014) created as a community evaluation resource to "decide upon the right metrics to use, and the appropriate implementation of those metrics including datasets and evaluators" 1 . In this paper, we propose to use evaluated VA environments for computer-based processes or systems with the main goal of aligning user plans, system models and software results. For this purpose, trust in VA outcome should be established, which can be done by following the (meta-)design principles of a human-centered verification and validation assessment and also in dependence on users' task models and interaction styles, since the possibility to work with the visualization interactively is an integral part of VA. To define reliable VA, we point out various dimensions of reliability along with their quality criteria, requirements, attributes and metrics. Several software packages are used to illustrate the concepts.

show abstract

“…Other than crowdsourcing transcription, it has only been in the last few years that museums, actual and virtual, have used social media and the internet as a means to obtain content for collections and exhibitions, particularly at Art Museums (Biella et al 2015;Gammerman 2014;Martinez 2014). Additionally, the Smithsonian National Museum of American History's American Stories exhibition relied upon crowdsourcing for verbal descriptions of objects for audio tours (Davis 2013), while the National Library of Australia has previously relied on online photo sharing site Flickr to expand their existing photo archive (Russo et al 2008), and the Maxwell Museum of anthropology used twitter to collect a protest sign for their No Hate No Fear: Responses to the Presidential Ban on Refugees and Immigrants exhibition, just before they began work on the Entering Standing Rock exhibition.…”

Section: Crowdsourcing Contentmentioning

confidence: 99%

Crowdsourcing a Current Events Exhibition on Community Activism Against DAPL

Kieffer¹,

Romanek²

2019

Curator The Museum Journal

View full text Add to dashboard Cite

Today's museum ethics encourages us to create exhibits that are socially relevant in a timely manner. For some museums this is difficult to do under financial restraints. This article discusses the issues of an unscheduled exhibit on the Dakota Access Pipeline at a state museum (Museum of Indian Arts & Culture) and a university museum (the Maxwell Museum of Anthropology) and how both institutions worked to overcome these issues, with an eye towards how to implement future ‘current events’ exhibitions. How these institutions successfully executed the crowdsourcing of current events exhibit content and dealt with issues that arose during the design and planning phase of the exhibitions are also discussed. Ultimately this crowdsourcing via social media approach can be used for addressing larger ethical and political issues that many museums want to include into their exhibits in a timely manner.

show abstract

Crowdsourcing and Knowledge Co-creation in Virtual Museums

Cited by 12 publications

References 11 publications

Value co‐creation in cultural heritage information practices: Literature review and future agenda: An Annual Review of Information Science and Technology (ARIST) paper

Value co‐creation in cultural heritage information practices: Literature review and future agenda: An Annual Review of Information Science and Technology (ARIST) paper

Reliable Visual Analytics, a Prerequisite for Outcome Assessment of Engineering Systems

Crowdsourcing a Current Events Exhibition on Community Activism Against DAPL

Contact Info

Product

Resources

About