Abstract
Kirkstall Art Trail is an annual celebration of art in the community, featuring local artists and creative organisations. For two days, venues throughout Kirkstall will host a variety of exhibitions, free workshops and activities suitable for all ages and abilities.
This installation is a novel web application (using the Web Audio API), running at a custom-made environment at the Kirstall Arts Trail in Leeds (UK). Participants were invited to contribute to the database. A sophisticated GUI was developed for this purpose. Participants recorded their memories and opinions of the area, the exhibits and their experiences. Retrieval of the information was achieved by taking a cursor across a map. The resulting sonic output was a novel and interesting journey through the recorded information based upon geographical location. Artists have requested use of the system for similar projects.
This installation is a novel web application (using the Web Audio API), running at a custom-made environment at the Kirstall Arts Trail in Leeds (UK). Participants were invited to contribute to the database. A sophisticated GUI was developed for this purpose. Participants recorded their memories and opinions of the area, the exhibits and their experiences. Retrieval of the information was achieved by taking a cursor across a map. The resulting sonic output was a novel and interesting journey through the recorded information based upon geographical location. Artists have requested use of the system for similar projects.
| Original language | English |
|---|---|
| Publication status | Published - 16 Jul 2017 |
| Event | Kirkstall Art Trail - Kirkstall, Leeds, United Kingdom Duration: 15 Jul 2017 → 16 Jul 2017 https://meldeweyphotography.wordpress.com/kirkstall-art-trail-july-2017/ |
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Dive into the research topics of 'Kirkstall Arts Trail 2017 Geo-Tagging Installation'. Together they form a unique fingerprint.Research output
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A Novel Web Application for Kirkstall Arts Trail
Gibson, I. (Developer) & Dewey, C. (Developer), 16 Jul 2017Research output: Non-textual form › Software
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