Artificial intelligence can be used in a variety of ways to mitigate the cognitive and psychophysical decline that accompanies ageing. However, it is not always easy to assess this decline. Several laboratory tests have been developed, but ecological assessment is still an open problem in many areas. Driving is one of these areas. Evaluating driving behaviour in a real-world environment raises ethical, practical, and economic issues. Virtual reality (VR), on the other hand, is already being used in several areas as a diagnostic and therapeutic aid. There are previous attempts to assess attention while driving using VR, but they are less than ecological. In this work, we propose a protocol to assess and quantify attention while driving and its effect on driving behavior. The protocol does not require expensive instruments and is easy to apply. Since its main goal is to assess age-related cognitive decline, it can be used to evaluate possible intervention areas for artificial intelligence and to quantify the effectiveness of these techniques.
Fontana, S., La Rocca, S., Facchin, A., Vacchi, L., Lega, C. (2022). Using virtual reality to assess age-related differences in driving behaviour. In Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2022 co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022) (pp.29-41). CEUR-WS.
Using virtual reality to assess age-related differences in driving behaviour
Fontana, S;La Rocca, S;Facchin, A;Vacchi, L;Lega, C
2022
Abstract
Artificial intelligence can be used in a variety of ways to mitigate the cognitive and psychophysical decline that accompanies ageing. However, it is not always easy to assess this decline. Several laboratory tests have been developed, but ecological assessment is still an open problem in many areas. Driving is one of these areas. Evaluating driving behaviour in a real-world environment raises ethical, practical, and economic issues. Virtual reality (VR), on the other hand, is already being used in several areas as a diagnostic and therapeutic aid. There are previous attempts to assess attention while driving using VR, but they are less than ecological. In this work, we propose a protocol to assess and quantify attention while driving and its effect on driving behavior. The protocol does not require expensive instruments and is easy to apply. Since its main goal is to assess age-related cognitive decline, it can be used to evaluate possible intervention areas for artificial intelligence and to quantify the effectiveness of these techniques.File | Dimensione | Formato | |
---|---|---|---|
Fontana-2022-AIxAS-VoR.pdf
accesso aperto
Descrizione: This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).
Tipologia di allegato:
Publisher’s Version (Version of Record, VoR)
Licenza:
Creative Commons
Dimensione
4.25 MB
Formato
Adobe PDF
|
4.25 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.