Priming Engineers to Think About Sustainability: Cognitive and Neuro-Cognitive Evidence to Support the Adoption of Green Stormwater Design

Abstract

Green infrastructure is the application of nature-based solutions like bioswales, rain gardens, and permeable pavements to reduce flooding in urban areas. These systems are underutilized in the design of the built environment. A barrier to their implementation is that design engineers tend to discount the tangential benefits of these greener systems and overweigh the associated risks. This study tested whether priming engineers to think about the environmental and social sustainability benefits of green infrastructure can influence what attributes engineers consider and how they weigh these attributes during the design decision-making process. Forty engineering students trained in stormwater design were asked to evaluate the implementation of a conventional stormwater design option and a green stormwater design option. Their preferred design option was recorded and the changes in their neuro-cognition were measured using functional near infrared-spectroscopy. Half of the engineers were asked to first consider the potential outcomes of these options on the environment and the surrounding community. Priming engineers to first consider environmental and social sustainability before considering the cost and risk of each option, significantly increased the perceived benefits the engineers believed green infrastructure could provide. The priming intervention also increased the likelihood that engineers would recommend the green infrastructure option. The engineers primed to think about environmental and social sustainability exhibited significantly lower oxy-hemoglobin in their ventrolateral, dorsolateral, and medial prefrontal cortex through multiple phases of the judgment and decision-making process. The intervention appears to increase cognitive representativeness or salience of the benefits for green infrastructure when engineers evaluate design alternatives. This relatively low-cost intervention, asking engineers to consider environmental and social sustainability for each design alternative, can shift engineering decision-making and change neuro-cognition.

Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging

“…A growing body of research is using neuroimaging techniques to investigate brain activities relevant to design in multiple phases, for example, design concept generation (Fu et al , 2019; Goucher-Lambert et al , 2019; Hay et al , 2019; Hu et al , 2019, 2021; Shealy et al , 2020), design decision-making (Goucher-Lambert et al , 2017 b ; Hu and Shealy, 2020, 2022), and open design or problem-solving (Zhao et al , 2020; Vieira et al , 2022 b ). A variety of neuroimaging techniques have been employed to measure design neurocognition, such as electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and functional magnetic resonance (fMRI).…”