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Emotion State Induction for the Optimization of Immersion and User Experience in Automated Vehicle Simulator

Publicado en:Proceedings Of The 5th International Conference On Computer-Human Interaction Research And Applications (Chira). 251-257 - 2021-01-01 (), DOI: 10.5220/0010722700003060

Autores: Silva, Javier; Belda-Lois, Juan-Manuel; Iranzo, Sofia; Mateo, Begona; de Nalda-Tarrega, Victor; Palomares, Nicolas; Laparra-Hernandez, Jose; Solaz, Jose S

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Users' acceptance is one of the predominant barriers of connected and automated vehicles (CAVS), which should be addressed at the highest priority. Loss of control, perceived safety and therefore lack of trust are some of the main aspects that lead to scepticism about the adoption of this technology. Addressing this issue, the H2020 project SUaaVE seeks to enhance the acceptance of CAVS through understanding the passengers' state and managing corrective actions in vehicle for enhancing trip experience. The research to understand passenger emotions is mainly based on experimental tests consisting in immersive experiences with subject's participation in a simulated CAV, specifically adapted to SUaaVE research purposes. This paper present different strategies to obtain realistic simulations with high levels of immensity in these tests using a dynamic platform with the objective of studying the emotional reaction of the subjects in representative scenarios and events within the framework of CA Vs.

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