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2021-06-22
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info:eu-repo/semantics/closedAccess
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Resumen
Autonomous vehicles with conditional automation are said to be the next step in the development of self-driving cars. The human driver still performs a critical role in them, by taking over the control of the vehicle if prompted. As the technology is still facing pending challenges, the human drivers are also required to be able to detect and react in case of Autonomous Drive System (ADS) malfunctions. Within this context, in this work we argue that to assure safety during autonomous operation the user state should be measured all the time, which is intended to support a ”fallback ready state”. From an in-depth literature review, this article identifies the human factors involved in the aforementioned ”fallback ready state” that affect the personalization of human-vehicle interaction.
Descripción
The registered version of this conference paper, first published in "UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 137-41. Association for Computing Machinery, Inc, 2021", is available online at the publisher's website: https://doi.org/10.1145/3450614.3462243
This research was supported by Spanish Ministry of Science, Innovation and Universities through the project PGC2018-102279-B-I00 (MCIU/AEI/FEDER, UE), by the Government of the Comunidad de Madrid through the project (PEJD-2019-PRE/TIC-17032) and the Interministerial Science and Technology Committee (CICYT) through the project RTI2018-096036-B-C21.
This research was supported by Spanish Ministry of Science, Innovation and Universities through the project PGC2018-102279-B-I00 (MCIU/AEI/FEDER, UE), by the Government of the Comunidad de Madrid through the project (PEJD-2019-PRE/TIC-17032) and the Interministerial Science and Technology Committee (CICYT) through the project RTI2018-096036-B-C21.
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Citación
David Puertas-Ramirez, Ana Serrano-Mamolar, David Martin Gomez, and Jesus G. Boticario. 2021. Should Conditional Self-Driving Cars Consider the State of the Human Inside the Vehicle? In Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '21). Association for Computing Machinery, New York, NY, USA, 137–141. https://doi.org/10.1145/3450614.3462243
Centro
E.T.S. de Ingeniería Informática
Departamento
Inteligencia Artificial