Presentation on theme: "WS 9 Living Lab Tools & Methodologies Wednesday (28/8) 13:30 – 17:00 NAD 308 The 4 th ENoLL Living Lab Summer School 27 th -30 August 2013 Manchester School."— Presentation transcript:
WS 9 Living Lab Tools & Methodologies Wednesday (28/8) 13:30 – 17:00 NAD 308 The 4 th ENoLL Living Lab Summer School 27 th -30 August 2013 Manchester School of Arts
In-situ methods: Photographic diary and the walking discussion Presented by: Katerina Frankova, Coventry University Based on research conducted at Coventry University, in partnership with Coventry City Council (City Lab Coventry)
Context Public consultation Regeneration of urban public space: – University campus – Urban park Key questions: – What do you like/dislike? Why? – How would you improve the space?
Photographic diary Individuals taking photos around a public space + taking notes: When? Where? Why? Suggestion for improvement? Disposable vs. digital camera need flexibility Unique engagement with the surrounding environment Reflection & imagination Increased focus Captures what is important to participants Balanced comments Images as evidence Accompanying text matters! Positive participant feedback (x time/effort)
Walking discussion Walking through a public space and discussing it as a group Multi-sensory experience Traditional power dynamics minimised Minimal need for a structure Surrounding environment = walking probe Free-flowing, authentic conversations Relevant, clear, informed and actionable input Attention to context Realistic suggestions for improvement Positive participant feedback
Start of all walking discussions Route of the walks
Discussion Have you used experiential / visual / in-situ methods in your practice? – For what purpose? What was the context? – How did it go? – Was your experience similar/different to Katerinas? How? Can you imagine using these methods in your practice/project? – How? – Benefits / challenges?
Please get in touch: Thank you for your participation!
Full data setSmaller sets sorted according to a particular criterion Photographic diary raw data