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The purpose of workshops is to provide a more interactive and focused platform for presenting and discussing new and emerging ideas. The format of paper presentations may include oral presentations, poster presentations, keynote lectures and panels. Depending on the number of presentations, workshops can be scheduled for 1 day or 2 days. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Engineering Index (EI) and Conference Proceedings Citation Index.

Workshop proposals are accepted until:

June 9, 2020

If you wish to propose a new Workshop please kindly fill out and submit this Expression of Interest form.


SUaaVE 2020Workshop on Reliable Estimation of Passenger Emotional State in Autonomous Vehicles
Chair(s): Juan-Manuel Belda-Lois and Nicolas Palomares

Workshop on
Reliable Estimation of Passenger Emotional State in Autonomous Vehicles
 - SUaaVE 2020

Paper Submission: September 2, 2020
Authors Notification: September 17, 2020
Camera Ready and Registration: September 25, 2020


Juan-Manuel Belda-Lois
Instituto de Biomecánica de Valência
Nicolas Palomares
Instituto de Biomecánica de Valencia

While the deployment of connected automated vehicle (CAV) turns into reality, its acceptance has been called into question. Public acceptance is a multi-faceted construct, tightly related to emotional processes and trust in a new technology, beyond the accomplishment of functional performance.

In order to address this issue, one of the objectives of the project H2020 SUaaVE (Supporting acceptance of automated VEhicle), under grant agreement No 814999, is the conceptualisation of the fundamental architecture to humanise the behaviour of the vehicle. In particular, this concept will be aimed to understand passengers’ state based on their physiological response and, from this information, to manage corrective actions in vehicle for enhancing trip experience.