{"id":41314,"date":"2023-01-11T16:12:36","date_gmt":"2023-01-11T15:12:36","guid":{"rendered":"https:\/\/www.he-arc.ch\/?post_type=he-arc_project&#038;p=41314"},"modified":"2023-01-11T16:13:09","modified_gmt":"2023-01-11T15:13:09","slug":"advitam","status":"publish","type":"he-arc_project","link":"https:\/\/www.he-arc.ch\/en\/projets-recherche\/advitam\/","title":{"rendered":"AdVitam"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Context and challenges<\/h2>\n\n\n\n<p>Next generation of autonomous cars (level 3 automation), are expected to come in the following years. In these vehicles, the driver does not have to monitor the road and can engage in secondary activities.<\/p>\n\n\n\n<p>However, in case of unexpected incidents, the driver must take the control back when notified by the car. This situation is called a takeover, and the vehicle convey the need for takeover via a takeover request. The takeover request can take multiple forms and use different modalities, the more common being haptic, visual and auditory. These takeovers are dangerous situations that should be treated carefully.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Objectives<\/h2>\n\n\n\n<p>Our main objective for this project was to find how to support the driver in case of takeover.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>This means finding a definition for takeover quality, as well as metrics to quantify it.<\/li>\n\n\n\n<li>Using this information, a review of the literature would highlight the factors influencing this quality.<\/li>\n\n\n\n<li>These factors should be monitored in order to train Machine Learning models to predict takeover quality.<\/li>\n\n\n\n<li>Acting on these factors would then allow us to impact the takeover quality.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Partners and funding<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.heia-fr.ch\/en\/applied-research\/institutes\/humantech\/\" target=\"_blank\" rel=\"noreferrer noopener\">HEIA-FR, Humantech Institute<\/a><br><a href=\"https:\/\/www.unifr.ch\/inf\/en\/\" target=\"_blank\" rel=\"noreferrer noopener\">University of Fribourg, DIUF<\/a><br><a href=\"https:\/\/epfl-ecal-lab.ch\/\" target=\"_blank\" rel=\"noreferrer noopener\">EPFL+ECAL Lab<\/a><\/p>\n\n\n\n<p>Funded by <a href=\"https:\/\/haslerstiftung.ch\/en\/welcome-to-the-hasler-foundation\/\" target=\"_blank\" rel=\"noreferrer noopener\">Hasler Foundation<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Results<\/h2>\n\n\n\n<p>A smart agent was designed, implemented and evaluated to recommend takeover request modalities in order to improve takeover quality. Along the way, several analysis and Machine Learning models were done and disseminated.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"627\" height=\"238\" src=\"https:\/\/www.he-arc.ch\/wp-content\/uploads\/2023\/01\/he-arc-ingenierie-advitam.png\" alt=\"\" class=\"wp-image-41309\" srcset=\"https:\/\/www.he-arc.ch\/wp-content\/uploads\/2023\/01\/he-arc-ingenierie-advitam.png 627w, https:\/\/www.he-arc.ch\/wp-content\/uploads\/2023\/01\/he-arc-ingenierie-advitam-300x114.png 300w\" sizes=\"(max-width: 627px) 100vw, 627px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Valorisation<\/h2>\n\n\n\n<p>Capallera, M., Meteier, Q., de Salis, E., Angelini, L., Carrino, S., Khaled, O. A., &amp; Mugellini, E. (2019, September). Owner manuals review and taxonomy of ADAS limitations in partially automated vehicles. In <em>Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications<\/em> (pp. 156-164).<\/p>\n\n\n\n<p>Meteier, Q., Capallera, M., Angelini, L., Mugellini, E., Khaled, O. A., Carrino, S., &#8230; &amp; Boll, S. (2019, September). Workshop on explainable AI in automated driving: a user-centered interaction approach. In <em>Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings<\/em> (pp. 32-37).<\/p>\n\n\n\n<p>Capallera, M., de Salis, E., Meteier, Q., Angelini, L., Carrino, S., Khaled, O. A., &amp; Mugellini, E. (2019, September). Secondary task and situation awareness, a mobile application for conditionally automated vehicles. In <em>Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings<\/em> (pp. 86-92).<\/p>\n\n\n\n<p>de Salis, E., Baumgartner, D. Y., &amp; Carrino, S. (2019, September). Can we predict driver distraction without driver psychophysiological state? a feasibility study on noninvasive distraction detection in manual driving. In <em>Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings<\/em> (pp. 194-198).<\/p>\n\n\n\n<p>de Salis, E., Capallera, M., Meteier, Q., Angelini, L., Abou Khaled, O., Mugellini, E., &#8230; &amp; Carrino, S. (2020, July). Designing an AI-companion to support the driver in highly autonomous cars. In <em>International Conference on Human-Computer Interaction<\/em> (pp. 335-349). Springer, Cham.<\/p>\n\n\n\n<p>Meteier, Q., Capallera, M., de Salis, E., Angelini, L., Abou Khaled, O., Mugellini, E., &#8230; &amp; Carrino, S. (2020). Inside the cockpit of semi-autonomous cars of tomorrow. In <em>Proceedings of GSGS&#8217;20: 5th Gamification &amp; Serious Game Symposium, September-November 2020, Switzerland<\/em> (No. CONFERENCE). September-November 2020.<\/p>\n\n\n\n<p>de Salis, E., Meteier, Q., Pelletier, C., Capallera, M., Angelini, L., Sonderegger, A., &#8230; &amp; Carrino, S. (2021, August). Clustering of Drivers\u2019 State Before Takeover Situations Based on Physiological Features Using Unsupervised Machine Learning. In <em>International Conference on Human Interaction and Emerging Technologies<\/em> (pp. 550-555). Springer, Cham.<\/p>\n\n\n\n<p>Meteier, Q., de Salis, E., Capallera, M., Widmer, M., Angelini, L., Abou Khaled, O., &#8230; &amp; Mugellini, E. (2022). Relevant Physiological Indicators for Assessing Workload in Conditionally Automated Driving, Through Three-Class Classification and Regression. <em>Frontiers in Computer Science<\/em>, <em>3<\/em>.<\/p>\n\n\n\n<p>de Salis, E., Meteier, Q., Capallera, M., Pelletier, C., Angelini, L., &#8230; &amp; Carrino, S. (2022). Predicting Takeover Quality in Conditionally Autonomous Vehicles based on Takeover Request Modalities, Driver Physiological State and the Environment. In <em>Intelligent Human Systems Integration (IHSI 2022)<\/em>. AHFE International.<\/p>\n\n\n\n<p>de Salis, E., Meteier, Q., Capallera, M., Pelletier, C., Angelini, L., &#8230; &amp; Carrino, S. (2022). Machine Learning Agent to Recommend the Best Modality for Takeover during Conditionally Automated Driving In <em>Human Interaction and Emerging Technologies (IHIET-AI 2022)<\/em>. AHFE International.<\/p>\n\n\n\n<p>Meteier, Q., Capallera, M., De Salis, E., Widmer, M., Angelini, L., Abou Khaled, O., &#8230; &amp; Sonderegger, A. (2022). Carrying a passenger and relaxation before driving: Classification of young drivers\u2019 physiological activation. <em>Physiological reports<\/em>, <em>10<\/em>(10), e15229.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Project Manager<\/h2>\n\n\n\n<div id=\"contact-card-block_619646874bb27\" class=\"contact-card is-shadowed mb-2-5 is-not-contained\">\n  <div class=\"contact-card__inner\">\n                <div class=\"contact-entry mb-1\">\n        Dr. Stefano Carrino\n      <\/div>\n                      <div class=\"contact-entry mb-1\">\n        <a href=\"tel:+41329302616\"  class=\"simple-link contact-entry mb-1\">+41 32 930 26 16<\/a>\n      <\/div>\n                      <div class=\"contact-entry \">\n        <a href=\"mailto:stefano.carrino@he-arc.ch\"  class=\"simple-link contact-entry mb-1\">Stefano.Carrino@he-arc.ch<\/a>\n      <\/div>\n            <\/div>\n<\/div>\n","protected":false},"author":6,"featured_media":41309,"template":"","he-arc_domain":[3],"he-arc_project_skill":[68],"he-arc_project_year":[41,42,43],"class_list":["post-41314","he-arc_project","type-he-arc_project","status-publish","has-post-thumbnail","hentry","he-arc_domain-ingenierie","he-arc_project_skill-analyse-de-donnees","he-arc_project_year-41","he-arc_project_year-42","he-arc_project_year-43"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AdVitam - Haute-Ecole Arc<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.he-arc.ch\/en\/projets-recherche\/advitam\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AdVitam - Haute-Ecole Arc\" \/>\n<meta property=\"og:description\" content=\"Context and challenges Next generation of autonomous cars (level 3 automation), are expected to come in the following years. 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