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GPS Digital Nudge to Limit Road Crashes in Non-Expert Drivers

Many automotive industries are developing technologies to assist human drivers in suggesting wiser choices to improve drivers’ behaviour. The technology that makes use of this modality is defined as a “digital nudge”. An example of a digital nudge is the GPS that is installed on smartphones. Some st...

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Detalles Bibliográficos
Autores principales: Nori, Raffaella, Zucchelli, Micaela Maria, Giancola, Marco, Palmiero, Massimiliano, Verde, Paola, Giannini, Anna Maria, Piccardi, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9220187/
https://www.ncbi.nlm.nih.gov/pubmed/35735375
http://dx.doi.org/10.3390/bs12060165
Descripción
Sumario:Many automotive industries are developing technologies to assist human drivers in suggesting wiser choices to improve drivers’ behaviour. The technology that makes use of this modality is defined as a “digital nudge”. An example of a digital nudge is the GPS that is installed on smartphones. Some studies have demonstrated that the use of GPS negatively affects environmental learning because of the transformation of some spatial skills. The main purpose of this study was to investigate the use of the GPS nudge and its relationship with spatial ability, together with its function in supporting the driving behaviour of non-expert drivers, in order to reduce the number of road crashes. A total of 88 non-expert drivers (M age = 21 years) filled in questionnaires and carried out tasks to measure spatial abilities, sense of direction, driver behaviour, and six different real-life driving scenarios. The results reveal that the higher the spatial skills are, the greater the GPS use is, and that drivers who use GPS improve their sense of direction. Moreover, people with high visuospatial abilities use GPS more extensively. Finally, young drivers do not consider the GPS aid to be useful when they have no time pressure. The results are discussed by taking into account the familiarity-and-spatial-ability model.