Visual art inspired by climate change—An analysis of audience reactions to 37 artworks presented during 21st UN climate summit in Paris

introduction on the person level, adjusting the standard errors of the analysis for the clus- tered data structure. While this first analysis is based on a latent variable model for emo- tions and reflection on the artwork, the following steps of the analysis could not have been conducted with latent variables due to high model complexity. Therefore, a latent variable score was assessed for each participant for the latent variables in the model estimation pro- cess, which was then used in all further analyses. As the latent variable score was assessed during model estimation (and not calculated as a mean or sum score afterward), the latent variable scores are regarded as free from measurement error. The results of step 1 are dis- played in Fig 2. 2. In the next step, we tested an interaction between the environmental attitude and the reflec- tion on the artwork on the support for climate policy to find out if the reflections related to the art experience had the same strength for people with varying levels of environmental attitude. This analysis was conducted based on the assumption that people with strong envi- ronmental attitudes to start with might support climate policies anyway, whereas people with weaker environmental attitudes might be more affected by the art experience since their policy support is initially lower. To reduce model complexity, only the three relevant variables were included in the analysis (plus gender as a control variable). The results of step 2 are reported in Fig 3 (gender is omitted from the figure since it did not have a signifi-

cant effect). Fig 2. Person-level model of an art experience’s influence on support for climate policy (N = 839). https://doi.org/10.1371/journal.pone.0247331.g002 Fig 3. Person-level model of the interaction between reflection on the artwork and environmental attitudes (N = 761). https://doi.org/10.1371/journal.pone.0247331.g003 PLOS ONE Visual art inspired by climate change — An analysis of audience reactions PLOS ONE | https://doi.org/10.1371/journal.pone.0247331 February 19, 2021 9 / 18