Effects of Flowering, Foliation, and Autumn Colors on Preference and Restorative Potential for Designed Digital Landscape Models

摘要

We investigated whether the vegetative state depicted in stimuli and the date of evaluation were related to restorative potential (RP) and preference ratings. Stimuli depicted flowering, foliated, or autumn-colored plants in scattershot, clustered, or formal arrangements that represented complexity values equal to zero, 2, or 4 bits of Shannon's information entropy. Analyses included 77 and 105 respondents' RP and preference ratings from September and January, respectively, along with 106 respondents' fascination and complexity estimations from September. Evaluation dates did not relate to respondents' RP and preference ratings. Respondents rated flowering and autumn-colored views significantly higher in RP and preference than foliated, 4-bit views higher than 2-bit, and 2-bit views higher than zero-bit. Flowering and autumn-colored foliage, view area, and plant region quantities indirectly affected RP ratings through preference. Important landscape design and practice implications follow: Flowering plants and red or yellow autumn-colored foliage may increase users' preference and RP.