App Crit
Friday, April 03, 2020: 9:00am - 10:30am -
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 (Langer & Alderman, 2016). 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 crit session will invite participants to interact with a working prototype version of a CLIO kiosk similar to what is being tested at the Burke Museum. They will also be provided with a link to a Google Forms survey designed using the MUSETECH evaluation framework for museum technology.
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.