Harst, Maria van der (2023) Using AI to Tailor Image-Based Environmental Campaigns; The role of place attachment, sense of place, type and level of climatic effects shown. Bachelor thesis.
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Research Step 7 - Final thesis Maaike van der Harst.pdf Download (2MB) | Preview |
Abstract
This research explores the significance of considering place attachment in attempts to evoke a response from individuals through environmental campaigns. The study utilizes artificially generated images to examine the effectiveness of different types and levels of climatic effects next to place attachment on campaign outcomes. The methodology involved generating images using stable diffusion, either from scratch or based on real-life photos. An electronic survey was conducted with two distinct participant groups located in Reykjavík and Groningen. The collected data was analyzed through multinominal regressions. The results indicated that participants with high place attachment tend to rank the images showing their location higher, while participants with lower place attachment in both countries tended to rank generic imagery higher. Analyses revealed significant correlations between the highest ranked image and factors such as sense of place, place attachment and the climatic effect of 'disaster'. However, no significant statistical relationship was found between the type of living environment and image setting in the highest-ranked image. The most frequently chosen images were related to pollution and extinction in the top rankings, and severe imagery was popular regardless of participants' level of climatic concern. These findings highlight the importance of considering place attachment in drafting environmental campaigns.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Degree programme: | Human Geography and Planning |
| Supervisor: | Mallon, G. |
| Date Deposited: | 18 Jul 2023 09:45 |
| Last Modified: | 18 Jul 2023 09:45 |
| URI: | https://frw.studenttheses.ub.rug.nl/id/eprint/4268 |
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