Priming the public to construct preferences for sustainable design: A discrete choice model for green infrastructure

Hu, Mo; Shealy, Tripp

doi:10.1016/j.jenvp.2023.102005

Cited by 2 publications

(1 citation statement)

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“…These tools can also create a series of text-based scenarios (vignettes) for priming, contextualizing, and incorporating different parameters for complex conditions ( Aguinis and Bradley, 2014 ). This technique is frequently employed for forecasted scenarios and recreation behavior, pro-environmental behavior, and acceptance of sustainable design ( Jaung, 2022 ; Hu and Shealy, 2023 ; Urban et al, 2023 ). For audio narration, advanced text-to-speech tools such as Vall E can mimic tones and emotions for languages, which can be used to test narration scripts, in intervention materials, or as experiment instructions.…”

Section: Effective and Flexible Implementationmentioning

confidence: 99%

Leveraging and exercising caution with ChatGPT and other generative artificial intelligence tools in environmental psychology research

Yuan,

Li,

Browning

et al. 2024

Front. Psychol.

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Generative Artificial Intelligence (GAI) is an emerging and disruptive technology that has attracted considerable interest from researchers and educators across various disciplines. We discuss the relevance and concerns of ChatGPT and other GAI tools in environmental psychology research. We propose three use categories for GAI tools: integrated and contextualized understanding, practical and flexible implementation, and two-way external communication. These categories are exemplified by topics such as the health benefits of green space, theory building, visual simulation, and identifying practical relevance. However, we also highlight the balance of productivity with ethical issues, as well as the need for ethical guidelines, professional training, and changes in the academic performance evaluation systems. We hope this perspective can foster constructive dialogue and responsible practice of GAI tools.

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Section: Effective and Flexible Implementationmentioning

confidence: 99%

Leveraging and exercising caution with ChatGPT and other generative artificial intelligence tools in environmental psychology research

Yuan,

Li,

Browning

et al. 2024

Front. Psychol.

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Eye-Tracking Experiment on Perception and Acceptance of Agrivoltaics: Pilot Study on the Impact of Grassland Use Visualisations

Schröter,

Püttschneider,

Mergenthaler

2024

Grasses

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Agrivoltaics (AV) are expanding worldwide, but knowledge about the perception and acceptance of this approach is far from complete. The aim of the present study was to investigate the visual perception and acceptance of AV systems, focussing on the central research question of whether the type of grassland use influences the visual perception and acceptance of vertical interspace AV. For this purpose, three photo-based pictures of a vertical interspace AV plant were used in a laboratory experiment with 29 participants: the original photo showing the AV plant with grassland only; an edited photo with cattle added and an edited photo with silage bales added. The eye-tracking results showed that additional picture elements (i.e., cattle and silage bales) at least partially attracted visual attention, but did not distract from the technical elements of the depicted AV systems. The analysis of the acceptance ratings indicated relatively stable attitudes towards AV, which could not be easily modulated by depicting different types of grassland use within AV systems. Short-term and limited changes in attitudes towards AV appeared to result from the provision of information and mental engagement with the topic. We recommend carrying out further research based on larger, representative samples and more realistic stimuli of AV systems that would provide a better understanding of visual perception and acceptance than photos alone, such as on-site visits or VR visualisations, to enhance the external validity of the results. We also suggest conducting longitudinal studies to explore possible long-term effects on the public acceptance of AV systems.

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Priming the public to construct preferences for sustainable design: A discrete choice model for green infrastructure

Cited by 2 publications

References 101 publications

Leveraging and exercising caution with ChatGPT and other generative artificial intelligence tools in environmental psychology research

Leveraging and exercising caution with ChatGPT and other generative artificial intelligence tools in environmental psychology research

Eye-Tracking Experiment on Perception and Acceptance of Agrivoltaics: Pilot Study on the Impact of Grassland Use Visualisations

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