Demonstration
Thursday, April 02, 2020: 6:00pm - 7:00pm -
Dillon Connelly, University of Washington Museology Master's Program, United States, Joshua Frechette, Central Seattle College, United States
With the increasing prevalence of open-source technologies, museums have been provided with a plethora of low-cost tools to enhance exhibitions and educational programming at their institutions. While there are toolkits developed to tackle the digital interactive needs of museums, they often require a programming background to fully implement. CLIO, named after the Greek muse of history, is an open-source digital interactive toolkit that aims to lower the knowledge ceiling required to implement interactive exhibits by creating a series of activity templates that can be customized by anyone able to edit a website. Our demonstration will briefly introduce the goals of the CLIO project and discuss challenges in executing CLIO for the first time, early evaluation results, and possible future implementations of the technology, with a more detailed description of the project in the accompanying paper.
Bibliography:
Dubois, E., Bortolaso, C., Bach, C., Duranthon, F., & Maumont, A. B. (2011). Design and evaluation of mixed interactive museographic exhibits. International Journal of Arts and Technology, 4(4), 408. doi: 10.1504/ijart.2011.043441
Damala, A., Ruthven, I., & Hornecker, E. (2019). The MUSETECH Model. Journal on Computing and Cultural Heritage, 12(1), 1–22. doi: 10.1145/3297717
Langer, M. & Alderman, J. "Open hardware belongs in your museum." MW2016: Museums and the Web 2016. Published January 15, 2016. Consulted December 27, 2019. https://mw2016.museumsandtheweb.com/paper/open-hardware-belongs-in-your-museum/
Price, K. & James, D. "Structuring for digital success: A global survey of how museums and other cultural organizations resource, fund, and structure their digital teams and activity." MW18: MW 2018. Published January 31, 2018. Consulted December 29, 2019.
https://mw18.mwconf.org/paper/structuring-for-digital-success-a-global-survey-of-how-museums-and-other-cultural-organisations-resource-fund-and-structure-their-digital-teams-and-activity/
Ramel, D. (2018, September 24). Developer Economics Survey: Data Science, Machine Learning Are Most-Wanted Skills. Retrieved December 29, 2019, from https://adtmag.com/articles/2018/09/24/developer-economics-survey.aspx.
Stack Overflow Developer Survey 2019. (2019). Retrieved December 29, 2019, from https://insights.stackoverflow.com/survey/2019.