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2. Anger and highly automated driving in urban areas: The role of time pressure

Author

Ebru Dogan, Franck Techer, Luciano Ojeda, Stéphane Feron, David Barat, Jean-Yves Marteau, and Félicie Rampillon

Subjects
050210 logistics & transportation, Computer science, business.industry, media_common.quotation_subject, 05 social sciences, Control (management), Driving simulator, Poison control, Human factors and ergonomics, Transportation, Anger, Automation, Transport engineering, Mood, Traffic congestion, 0502 economics and business, Automotive Engineering, 0501 psychology and cognitive sciences, business, 050107 human factors, Applied Psychology, Civil and Structural Engineering, media_common
Abstract

Highly automated vehicles in urban areas will adopt a safe and cautious driving style, which is likely to result in frequent stops and yields while negotiating interactions in complex traffic environments. Users may not expect, comprehend or accept such behaviors from their vehicle. Considering that most daily trips are completed under time pressure, drivers may feel frustrated and decide to take over manual control in an attempt to save time. The current study aimed at investigating the impact of time pressure while driving a highly automated vehicle in urban areas in terms of anger and frustration. Forty participants drove a highly automated vehicle with or without time pressure in a driving simulator. The driving scenario included rural roads with light traffic and urban roads with traffic congestion and driving impediments. Data on mood, attitude and driver behavior were collected. Results indicate that urban automated driving in congested conditions deteriorated participants’ mood, independently of time pressure. Additionally, the number of takeovers on driver’s initiative was higher under time pressure. This study demonstrates that driving a highly automated vehicle in urban areas may have adverse effects for user’s emotional state. As long as drivers are uncomfortable with the vehicle behavior, they may decide to takeover in complex situations. Therefore, it is important to consider the emotional dimension of driving highly automated vehicles. Otherwise, expected benefits of automation for traffic congestion and safety may be compromised.

Published
2019
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3. Providing contextual information when encountering traffic interruptions during automated driving

Author

David Barat, Ebru Dogan, Félicie Rampillon, Luciano Ojeda, Stéphane Feron, Jean-Yves Marteau, and Franck Techer

Subjects
050210 logistics & transportation, Mood, Computer science, Human–computer interaction, 0502 economics and business, 05 social sciences, In vehicle, Driving simulator, Contextual information, Human–machine interface, 0501 psychology and cognitive sciences, 050107 human factors
Abstract

The complexity of urban driving environment may create frequent interruptions in the course of automated vehicles, which may have adverse effects on driver's mood, and even result in driver-initiated takeovers. A possible way to counteract this is to help drivers reappraise the situation by providing additional information when they encounter interruptions in vehicle's progression. This study aimed at assessing the effect of an HMI enhanced with contextual information on drivers' mood, attitude and behavior compared to a basic HMI. Participants drove the experimental scenario in a driving simulator, once with and once without receiving contextual information. Results are discussed, potential bias is identified, and perspectives are evoked to improve the proposed method.

Published
2019
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4. Attention and driving performance modulations due to anger state: Contribution of electroencephalographic data

Author

Fabien Moreau, Bruno Piechnick, Christophe Jallais, Yves Corson, Franck Techer, Alexandra Fort, Daniel Ndiaye, Laboratoire Ergonomie et Sciences Cognitives pour les Transports (IFSTTAR/TS2/LESCOT), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon, Laboratoire de Psychologie des Pays de la Loire (LPPL), Université d'Angers (UA)-Université de Nantes - UFR Lettres et Langages (UFRLL), Université de Nantes (UN)-Université de Nantes (UN), Laboratoire Exploitation, Perception, Simulateurs et Simulations (IFSTTAR/COSYS/LEPSIS), and Communauté Université Paris-Est-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)

Subjects
[SPI.OTHER]Engineering Sciences [physics]/Other, Adult, Male, Automobile Driving, Visual N1, media_common.quotation_subject, Poison control, EVENT-RELATED POTENTIALS, Anger, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, VISUAL N1, Event-related potential, Injury prevention, EMOTION, Humans, Attention, 0501 psychology and cognitive sciences, CAR SIMULATOR, media_common, General Neuroscience, FACTEUR HUMAIN, 05 social sciences, Human factors and ergonomics, Electroencephalography, Affect, Evoked Potentials, Auditory, Evoked Potentials, Visual, Female, State (computer science), LATERAL VARIATIONS, Psychology, High arousal, Social psychology, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

Driver internal state, including emotion, can have negative impacts on road safety. Studies have shown that an anger state can provoke aggressive behavior and impair driving performance. Apart from driving, anger can also influence attentional processing and increase the benefits taken from auditory alerts. However, to our knowledge, no prior event-related potentials study assesses this impact on attention during simulated driving. Therefore, the aim of this study was to investigate the impact of anger on attentional processing and its consequences on driving performance. For this purpose, 33 participants completed a simulated driving scenario once in an anger state and once during a control session. Results indicated that anger impacted driving performance and attention, provoking an increase in lateral variations while reducing the amplitude of the visual N1 peak. The observed effects were discussed as a result of high arousal and mind-wandering associated with anger. This kind of physiological data may be used to monitor a driver's internal state and provide specific assistance corresponding to their current needs.; Impact de la colère sur les potentiels évoqués durant une tâche de conduite

Published
2017
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5. List of Contributors

Author

Nounagnon F. Agbangla, Atahan Agrali, Cédric T. Albinet, Awad Aljuaid, Guillaume Andéol, Jean M. André, Pietro Aricò, Branthomme Arnaud, Romain Artico, Michel Audiffren, Hasan Ayaz, Fabio Babiloni, Wendy Baccus, Carryl L. Baldwin, Hubert Banville, Klaus Bengler, Bruno Berberian, Jérémy Bergeron-Boucher, Ali Berkol, Pierre Besson, Siddharth Bhatt, Arianna Bichicchi, Martijn Bijlsma, Nikolai W.F. Bode, Vincent Bonnemains, Gianluca Borghini, Guillermo Borragán, Marc-André Bouchard, Angela Bovo, Eric Brangier, Anne-Marie Brouwer, Heinrich H. Bülthoff, Christopher Burns, Vincent Cabibel, Tuna E. Çakar, Daniel Callan, Aurélie Campagne, Travis Carlson, William D. Casebeer, Deniz Zengin Çelik, Cindy Chamberland, Caroline P.C. Chanel, Peter Chapman, Luc Chatty, Laurent Chaudron, Philippe Chevrel, Lewis L. Chuang, Caterina Cinel, Bernard Claverie, Antonia S. Conti, Yves Corson, Johnathan Crépeau, Adrian Curtin, Frédéric Dehais, Arnaud Delafontaine, Gaétane Deliens, Arnaud Delorme, Stefano I. Di Domenico, Gianluca Di Flumeri, Jean-Marc Diverrez, Manh-Cuong Do, Mengxi Dong, Andrew T. Duchowski, Anirban Dutta, Lydia Dyer, Sonia Em, Kate Ewing, Stephen Fairclough, Brian Falcone, Tiago H. Falk, Sara Feldman, Ying Xing Feng, Victor S. Finomore, Nina Flad, Alice Formwalt, Alexandra Fort, Paul Fourcade, Marc A. Fournier, Jérémy Frey, C. Gabaude, Olivier Gagey, Marc Garbey, Liliana Garcia, Thibault Gateau, Lukas Gehrke, Nancy Getchell, Evanthia Giagloglou, Christiane Glatz, Kimberly Goodyear, Robert J. Gougelet, Jonas Gouraud, Klaus Gramann, Dhruv Grewal, Carlos Guerrero-Mosquera, Céline Guillaume, Martin Hachet, Alain Hamaoui, Gabriella M. Hancock, Peter A. Hancock, Ahmad Fadzil M. Hani, Amanda E. Harwood, Mitsuhiro Hayashibe, Terry Heiman-Patterson, Girod Hervé, Maarten A.J. Hogervorst, Amy L. Holloway, Jean-Louis Honeine, Keum-Shik Hong, Klas Ihme, Kurtulus Izzetoglu, Meltem Izzetoglu, Philip L. Jackson, Christophe Jallais, Christian P. Janssen, Branislav Jeremic, Meike Jipp, Evelyn Jungnickel, Hélio Kadogami, Gozde Kara, Waldemar Karwowski, Quinn Kennedy, Theresa T. Kessler, Muhammad J. Khan, Rayyan A. Khan, Marius Klug, Amanda E. Kraft, Michael Krein, Ute Kreplin, Bartlomiej Kroczek, Lauens R. Krol, Frank Krueger, Ombeline Labaune, Daniel Lafond, Claudio Lantieri, Paola Lanzi, Amine Laouar, Dargent Lauren, Rachel Leproult, Véronique Lespinet-Najib, Ling-Yin Liang, Fabien Lotte, Ivan Macuzic, Nicolas Maille, Horia A Maior, S. Malin, Alexandre Marois, Franck Mars, Nicolas Martin, Nadine Matton, Magdalena Matyjek, Kevin McCarthy, Ryan McKendrick, Tom McWilliams, Bruce Mehler, Ranjana Mehta, Ranjana K. Mehta, Mathilde Menoret, Yoshihiro Miyake, Alexandre Moly, Rabia Murtza, Makii Muthalib, Mark Muthalib, Noman Naseer, Jordan Navarro, Roger Newport, Anton Nijholt, Michal Ociepka, Morellec Olivier, Ahmet Omurtag, Banu Onaral, Hiroki Ora, Bob Oudejans, Özgürol Öztürk, Martin Paczynski, Nico Pallamin, Raja Parasuraman, Mark Parent, René Patesson, Kou Paul, Philippe Peigneux, Matthias Peissner, G. Pepin, Stephane Perrey, Vsevolod Peysakhovich, Markus Plank, Riccardo Poli, Kathrin Pollmann, Simone Pozzi, Nancy M. Puccinelli, Jean Pylouster, Kerem Rızvanoğlu, Martin Ragot, Bryan Reimer, Emanuelle Reynaud, Joohyun Rhee, Jochem W. Rieger, Anthony J. Ries, Benoit Roberge-Vallières, Achala H. Rodrigo, Anne L. Roggeveen, Ricardo Ron-Angevin, Guillaume Roumy, Raphaëlle N. Roy, Anthony C. Ruocco, Bartlett A. Russell, Jon Russo, Richard M. Ryan, Amanda Sargent, Kelly Satterfield, Ben D. Sawyer, Sébastien Scannella, Menja Scheer, Melissa Scheldrup, Alex Schilder, Nicolina Sciaraffa, Lee Sciarini, Magdalena Senderecka, Sarah Sharples, Tyler H. Shaw, Patricia A. Shewokis, Andrea Simone, Hichem Slama, Alastair D. Smith, Bertille Somon, Hiba Souissi, Moritz Späth, Kimberly L. Stowers, Clara Suied, Junfeng Sun, Rajnesh Suri, Tong Boon Tang, Yingying Tang, Emre O. Tartan, Nadège Tebbache, Franck Techer, Cengiz Terzibas, Catherine Tessier, Claudine Teyssedre, Hayley Thair, Jean-Denis Thériault, Alexander Toet, Shanbao Tong, Jonathan Touryan, Amy Trask, Sébastien Tremblay, Anirudh Unni, François Vachon, Davide Valeriani, Benoît Valéry, Helma van den Berg, Valeria Vignali, Mathias Vukelić, Jijun Wang, Max L. Wilson, Emily Wusch, Petros Xanthopoulos, Eric Yiou, Amad Zafar, Thorsten O. Zander, Matthias D. Ziegler, and Ivana Živanovic-Macuzic

Published
2019
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7. Assessing the Impact of Anger State on the Three Attentional Networks With the ANT-I

Author

Christophe Jallais, Alexandra Fort, Franck Techer, Yves Corson, Laboratoire Ergonomie et Sciences Cognitives pour les Transports (IFSTTAR/TS2/LESCOT), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon, and Université de Nantes (UN)

Subjects
Adult, Male, media_common.quotation_subject, COLERE, Anger, Neuropsychological Tests, 050105 experimental psychology, Developmental psychology, Arousal, 03 medical and health sciences, Executive Function, Young Adult, 0302 clinical medicine, Attention network, Orientation, EMOTION, Animals, Humans, 0501 psychology and cognitive sciences, General Psychology, media_common, CONCENTRATION, Psychological Tests, Recall, [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior, 05 social sciences, FACTEUR HUMAIN, ATTENTION, ALERTE PHASIQUE, Test (assessment), Affect, REACTION HUMAINE, Mood, SIGNAL ACOUSTIQUE, Acoustic Stimulation, Female, Attentional network, Cues, Psychology, 030217 neurology & neurosurgery, Cognitive psychology
Abstract

Anger is a negative and highly aroused emotion. Previous research has revealed that a high level of arousal can induce the participant in a physical preparation and self-awareness. The aim of this research was to study the influence of anger on the attentional network using the Attention Network Test– Interactions (ANT-I). This test has been developed in order to assess 3 attentional networks: alerting, orienting, and executive control. Here, participants were induced in anger using the autobiographic recall procedure or in a neutral mood before the realization of the ANT-I. As expected, the results showed a better alerting score for the angry group. The possible origin of this alerting gain related to the high level of arousal is discussed. The results obtained should enlighten the interaction between emotion and the functioning of the attentional system. They also may be relevant for applied fields related to anger.

Published
2015
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