Publications

Authors:

di Plinio, Simone; Menardo, Elisa; Cardone, Daniela; Greco, Claudia; Merla, Arcangelo; Brondino, Margherita; Ebisch, Sjoerd

Title:

Predicting Mental Health Trough Satellite Images

Year:

2024

Type of item:

Abstract in Atti di convegno

Tipologia ANVUR:

Abstract in Atti di convegno

Language:

Inglese

Format:

Elettronico

Congresso:

International Meeting of the Psychometric Society

Place:

Praga

Period:

16-19 luglio 2024

Page numbers:

124-124

Keyword:

environment, mental health, satellite images

Short description of contents:

Empirical studies indicate that natural landscapes, such as coastlines and forests, provide greater restorative benefits compared to urban environments. Factors like individual identity can influence the level of perceived restorativeness. Our research aimed to establish standardized, straightforward procedures for assessing the impact of both objective and subjective elements on human health. We investigated how natural versus urban settings affect personal restorative experiences, engaging around 1,000 participants from Italy. Utilizing both psychometric evaluations and analytical approaches, we examined the influence of the physical characteristics of participants’ local environments on their perceived restorativeness. We developed an original pipeline for the analysis of satellite imagery, through which we quantitatively assessed the greenery and urban elements surrounding the participants’ residences. Our sophisticated analysis included a comprehensive image analysis framework and iterative clustering techniques for categorizing environmental features. Our results, confirmed by multivariate analysis, reveal that green spaces significantly enhance restorativeness, in stark contrast to urban spaces, which negatively impact it. The positive effects of green spaces were especially pronounced in promoting feelings of Fascination, Being-Away, and Scope, with these benefits being influenced by the individual’s sense of identity. This study not only highlights the critical role of environmental characteristics in promoting well-being but also introduces novel methodologies for forecasting the well-being impacts of environmental changes.

Product ID:

144807

Handle IRIS:

11562/1158187

Last Modified:

March 23, 2025

Bibliographic citation:

di Plinio, Simone; Menardo, Elisa; Cardone, Daniela; Greco, Claudia; Merla, Arcangelo; Brondino, Margherita; Ebisch, Sjoerd, Predicting Mental Health Trough Satellite Images  in Abstract , Proceedings of "International Meeting of the Psychometric Society" , Praga , 16-19 luglio 2024 , 2024 , pp. 124-124

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