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Landscape architects may be able to improve communication with clients and community members and generate better data for research and design projects by changing the way they use the images and photographs generated by others. This thesis explores two methods that rely on images generated by and interpreted by study participants: Photovoice and the Zaltman Metaphor Elicitation Technique (ZMET). To test the methods a problem was generated from Christopher Alexander et al.’s (1977) Pattern Language and nine study participants were evenly divided into three arms (ZMET, Photovoice, and a control group using language-based interviewing) and asked about their perceptions and preferences for ‘gardens’ and ‘enclosure’ (Pattern 173 – Garden Wall). The interviews were coded to create themes, which are discussed relative to Pattern 173 and the design of enclosed garden spaces. Additional information is provided on my experience with the methods, the impact of changes to the methods, participants’ responses to the study arms, and suggestions for researchers. Implications for landscape architecture and potential future applications for the methods are discussed.