Academic literature on the topic 'Autonomous vehicles – Psychological aspects'
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Journal articles on the topic "Autonomous vehicles – Psychological aspects"
Mozaffari, Hamed, and Ali Nahvi. "A motivational driver model for the design of a rear-end crash avoidance system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 1 (May 23, 2019): 10–26. http://dx.doi.org/10.1177/0959651819847380.
Full textGolbabaei, Fahimeh, Tan Yigitcanlar, Alexander Paz, and Jonathan Bunker. "Individual Predictors of Autonomous Vehicle Public Acceptance and Intention to Use: A Systematic Review of the Literature." Journal of Open Innovation: Technology, Market, and Complexity 6, no. 4 (October 9, 2020): 106. http://dx.doi.org/10.3390/joitmc6040106.
Full textButler, Sandra S., and Nancy Kusmaul. "PERCEPTIONS OF EMPOWERMENT AMONG HOME CARE AIDES." Innovation in Aging 3, Supplement_1 (November 2019): S704. http://dx.doi.org/10.1093/geroni/igz038.2588.
Full textGal, Oren. "Autonomous aspects of unmanned maritime vehicles." International Journal of Unmanned Systems Engineering 1, no. 4 (October 1, 2013): 14–22. http://dx.doi.org/10.14323/ijuseng.2013.17.
Full textTuroń, Katarzyna, and Andrzej Kubik. "Economic Aspects of Driving Various Types of Vehicles in Intelligent Urban Transport Systems, Including Car-Sharing Services and Autonomous Vehicles." Applied Sciences 10, no. 16 (August 12, 2020): 5580. http://dx.doi.org/10.3390/app10165580.
Full textHyla, Paweł, Janusz Szpytko, Rafał Rumin, Jacek Cieślik, and Jędrzej Blaut. "AGV autonomous transport units in technological transport." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 20, no. 1-2 (February 28, 2019): 375–82. http://dx.doi.org/10.24136/atest.2019.070.
Full textYaakub, Salma, and Mohammed Hayyan Alsibai. "A Review on Autonomous Driving Systems." International Journal of Engineering Technology and Sciences 5, no. 1 (June 20, 2018): 1–16. http://dx.doi.org/10.15282/ijets.v5i1.2800.
Full textSzywalski, Patryk, and Andrzej Waindok. "Practical Aspects of Design and Testing Unmanned Aerial Vehicles." Acta Mechanica et Automatica 14, no. 1 (March 1, 2020): 50–58. http://dx.doi.org/10.2478/ama-2020-0008.
Full textMartinson, Ryan. "Moral and Ethical Aspects of Autonomous Vehicles and Mobility ( breakout presentation )." Journal of Transport & Health 7 (December 2017): S65. http://dx.doi.org/10.1016/j.jth.2017.11.106.
Full textMaimon, Aurel Dan. "Underwater robotics – technical aspects on autonomous underwater inspection vehicle." Analele Universităţii "Dunărea de Jos" din Galaţi. Fascicula XI, Construcţii navale/ Annals of "Dunărea de Jos" of Galati, Fascicle XI, Shipbuilding 43 (December 15, 2020): 79–88. http://dx.doi.org/10.35219/annugalshipbuilding.2020.43.10.
Full textDissertations / Theses on the topic "Autonomous vehicles – Psychological aspects"
Baggesen, Arne. "Design and operational aspects of autonomous Unmanned Combat Aerial Vehicles." Thesis, Monterey, California. Naval Postgraduate School, 2005. http://hdl.handle.net/10945/2015.
Full textGangadharan, Athul. "An Evaluation of Automatic Test Case Generation strategy from Requirements for Electric/Autonomous Vehicles." Thesis, Uppsala universitet, Institutionen för informatik och media, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-419583.
Full textWaller, Heath Frederick. "Moral reform and the desiderata of responses to wrongdoing: the production of a "morally autonomous person freely attached to the good"." Thesis, Rhodes University, 2004. http://hdl.handle.net/10962/d1003805.
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Saleh, Diana. "Interaction Design for Remote Control of Military Unmanned Ground Vehicles." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-174074.
Full textWesterlind, Rickard, and Joakim Langelaar. "Faktorer för användningen av automatiserade fordon." Thesis, Uppsala universitet, Institutionen för informatik och media, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353966.
Full textTechnological innovations are increasingly associated with modern, developed IT-capabilities in today’s societal evolution. This is seen primarily in the automobile industry where self-driving/automated vehicles has taken a great leap on the global automobile market. Automated vehicles are considered by many to be the technology of the future which mainly involves public transport and transport of goods, but the vision of a completely automated traffic is not left untouched. But because new, foreign technology also can be seen as detrimental to people - what is then required to change this approach? How can it be ensured that technical innovations such as automated vehicles are accepted by the public and used in practice? These are issues that gave rise to the following report with a purpose to present a study that investigates which factors that has an impact on the use of automated vehicles. This has been accomplished through an extensive literature search of previous and current research of the topic, along with interviews and surveys to acquire personal opinions and experiences from existing users of automated technology. The research has eventuated in a knowledge product represented by a table of above mentioned factors including a brief description, type of factor, and a justification to as why they have been assessed as having an impact on the use of automated vehicles. Furthermore, the table has been supplemented with a relational model that describes how factors interact and depend on each other. Hopefully, the result can be used as support for future studies and research projects, as well as inspire companies and organizations engaged in automated vehicles and their use.
Flodin, Caroline. "Sjöräddning och obemannade autonoma farkoster, hur är det med uppgifterna? : En fallstudie om riktlinjer för datahantering i sjöräddning med obemannade autonoma farkoster." Thesis, Linköpings universitet, Informationssystem och digitalisering, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177792.
Full textMaritime rescue in Sweden is performed through a cooperation between government agencies, municipalities and non-governmental organisations (NGOs) with the common goal of saving people in distress. Time is often a critical factor in the rescue missions but a fast and unplanned response may at the same time put the rescue workers in danger. The development of unmanned autonomous vehicles for SAR is seen as a solution to the need of being able to quickly sendhelp as well as get eyes on the scene of the incident without exposing the rescue workers for unnecessary risks. However, the current communications systems in Swedish maritime rescue are unable to handle any other type of information except verbal, meaning that rescue workers only know guidelines for handling verbal information. However, with a future implementation of autonomous vehicles, there will be a need to handle more information types in maritime rescue whereas the uncertainty regarding what kind of information autonomous vehicles collect and which data management requirements exist is problematic. The uncertainty about the information types and their data management requirements is also problematic for the development and implementation of autonomous vehicles as there is a risk that vehicles and technologies are developed but not allowed to be used because they are not adapted to the legal requirements on management of the different types of data. Therefore, in this study I examine what information types that autonomous vehicles can collect in a maritime rescue to find out what guidelines for data management that applies during a maritime rescue with autonomous vehicles. The study also examines what kind of information’s are critical for a SAR maritime rescue cooperation as well as what information sharing challenges exist in current maritime rescue. The study was performed as a qualitative case study and has used a socio-technical systems perspective so as to better see the overall picture and answer the research questions. The result shows that autonomous vehicles can collect information about their surroundings, which is the foundation for establishing situation awareness that is critical for SAR-operations, and that they can collect information about their own status. The main laws and regulations that have been identified as constituting the main restrictions are (translated from Swedish) the law of camera surveillance, the law for protection of geographical information, the public access to information and secrecy act, the GDPR and the data protection act. These contains guidelines for sharing information and the processing of personal data in SAR maritime rescue. The knowledge contributions of this study includes among others the identification of datatypes that can be collected by autonomous vehicles in SAR maritime rescue, and probably other types of rescue operations, and the sharing and management requirements on those datatypes in rescue operations and thus knowledge of what datatypes that are the most restricted. Further knowledge contributions is knowledge about which information types that are the most critical for SAR maritime rescue and thus should be prioritised for collection and sharing as well as the identification of challenges for information sharing between government agencies and NGOs.
(9756986), Shubham Agrawal. "Understanding the Cognitive and Psychological Impacts of Emerging Technologies on Driver Decision-Making Using Physiological Data." Thesis, 2020.
Find full textEmerging technologies such as real-time travel information systems and automated vehicles (AVs) have profound impacts on driver decision-making behavior. While they generally have positive impacts by enabling drivers to make more informed decisions or by reducing their driving effort, there are several concerns related to inadequate consideration of cognitive and psychological aspects in their design. In this context, this dissertation analyzes different aspects of driver cognition and psychology that arise from drivers’ interactions with these technologies using physiological data collected in two sets of driving simulator experiments.
This research analyzes the latent cognitive and psychological effects of real-time travel information using electroencephalogram (EEG) data measured in the first set of driving simulator experiments. Using insights from the previous analysis, a hybrid route choice modeling framework is proposed that incorporates the impacts of the latent information-induced cognitive and psychological effects along with other explanatory variables that can be measured directly (i.e., route characteristics, information characteristics, driver attributes, and situational factors) on drivers’ route choice decisions. EEG data is analyzed to extract two latent cognitive variables that capture the driver’s cognitive effort during and immediately after the information provision, and cognitive inattention before implementing the route choice decision.
Several safety concerns emerge for the transition of control from the automated driving system to a human driver after the vehicle issues a takeover warning under conditional vehicle automation (SAE Level 3). In this context, this study investigates the impacts of driver’s pre-warning cognitive state on takeover performance (i.e., driving performance while resuming manual control) using EEG data measured in the second set of driving simulator experiments. However, there is no comprehensive metric available in the literature that could be used to benchmark the role of driver’s pre-warning cognitive state on takeover performance, as most existing studies ignore the interdependencies between the associated driving performance indicators by analyzing them independently. This study proposes a novel comprehensive takeover performance metric, Takeover Performance Index (TOPI), that combines multiple driving performance indicators representing different aspects of takeover performance.
Acknowledging the practical limitations of EEG data to have real-world applications, this dissertation evaluates the driver’s situational awareness (SA) and mental stress using eye-tracking and heart rate measures, respectively, that can be obtained from in-vehicle driver monitoring systems in real-time. The differences in SA and mental stress over time, their correlations, and their impacts on the TOPI are analyzed to evaluate the efficacy of using eye-tracking and heart rate measures for estimating the overall takeover performance in conditionally AVs.
The study findings can assist information service providers and auto manufacturers to incorporate driver cognition and psychology in designing safer real-time information and their delivery systems. They can also aid traffic operators to incorporate cognitive aspects while devising strategies for designing and disseminating real-time travel information to influence drivers’ route choices. Further, the study findings provide valuable insights to design operating and licensing strategies, and regulations for conditionally automated vehicles. They can also assist auto manufacturers in designing integrated in-vehicle driver monitoring and warning systems that enhance road safety and user experience.Dagada, Sharon Sarah. "Facilitating change in the family as an autonomous system : a cybernetic family therapist's perspective." Diss., 2013. http://hdl.handle.net/10500/13180.
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M.A. (Social Science (Mental Health))
Books on the topic "Autonomous vehicles – Psychological aspects"
Flamm, Bradley. An investigation into constraints to sustainable vehicle ownership: A focus group study. San Jose, Calif: Mineta Transportation Institute, College of Business, San José State University, 2011.
Find full textBurns, Lawrence D. Autonomy: The Quest to Build the Driverless Car-And How It Will Reshape Our World. HarperCollins and Blackstone Audio, 2018.
Find full textBurns, Lawrence D. Autonomy: The Quest to Build the Driverless Car-And How It Will Reshape Our World. Ecco Press, 2018.
Find full textLipson, Hod, and Melba Kurman. Driverless: Intelligent Cars and the Road Ahead. MIT Press, 2016.
Find full textLipson, Hod, and Melba Kurman. Driverless: Intelligent Cars and the Road Ahead. MIT Press, 2016.
Find full textauthor, Shulgan Christopher, ed. Autonomy: The quest to build the driverless car-- and how it will reshape our world. Ecco, an imprint of HarperCollinsPublishers, 2018.
Find full textAutonomy: The Quest to Build the Driverless Car-And How It Will Reshape Our World. HarperCollins Publishers, 2019.
Find full textLipson, Hod, and Melba Kurman. Driverless: Intelligent Cars and the Road Ahead. MIT Press, 2016.
Find full textauthor, Kurman Melba, ed. Driverless: Intelligent cars and the road ahead. The MIT Press, 2016.
Find full textBook chapters on the topic "Autonomous vehicles – Psychological aspects"
Turo, Tomas, Vlastimil Neumann, and Zdenek Krobot. "Aspects of Technical Requirements for the Future Autonomy of Military Vehicles." In Modelling and Simulation for Autonomous Systems, 374–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76072-8_26.
Full textRozhkova, Nadezhda, Darya Rozhkova, and Uliana Blinova. "An Overview of Aspects of Autonomous Vehicles’ Development in Digital Era." In Integrated Science in Digital Age 2020, 313–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49264-9_28.
Full textGatien, Seth, Ata Khan, and John Gales. "Technology and Human Factor Considerations in Adapting Airport Landside Facilities and Operations to Autonomous and Connected Vehicles." In Advances in Human Aspects of Transportation, 551–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80012-3_63.
Full textSouders, Dustin, and Neil Charness. "Challenges of Older Drivers’ Adoption of Advanced Driver Assistance Systems and Autonomous Vehicles." In Human Aspects of IT for the Aged Population. Healthy and Active Aging, 428–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39949-2_41.
Full textVoinescu, Alexandra, Phillip L. Morgan, Chris Alford, and Praminda Caleb-Solly. "Investigating Older Adults’ Preferences for Functions Within a Human-Machine Interface Designed for Fully Autonomous Vehicles." In Human Aspects of IT for the Aged Population. Applications in Health, Assistance, and Entertainment, 445–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92037-5_32.
Full textGren, Lucas. "Understanding Work Practices of Autonomous Agile Teams: A Social-psychological Review." In Agile Processes in Software Engineering and Extreme Programming – Workshops, 227–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58858-8_23.
Full textAndorka, Steven, and Kira Rambow-Hoeschele. "Ethical and Social Aspects of Connected and Autonomous Vehicles: A Focus on Stakeholders’ Responsibility and Customers’ Willingness to Share Data." In 3rd EAI International Conference on IoT in Urban Space, 17–22. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28925-6_2.
Full textFinkelstein, Robert. "Autonomous Robots." In Advances in Human and Social Aspects of Technology, 147–62. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6772-2.ch009.
Full textSearle, Rick. "Robots in Warfare and the Occultation of the Existential Nature of Violence." In Unmanned Aerial Vehicles, 487–500. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8365-3.ch022.
Full textEasa, Said, Yang Ma, Ashraf Elshorbagy, Ahmed Shaker, Songnian Li, and Shriniwas Arkatkar. "Visibility-Based Technologies and Methodologies for Autonomous Driving." In Self-driving Vehicles and Enabling Technologies [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.95328.
Full textConference papers on the topic "Autonomous vehicles – Psychological aspects"
Ala, Guido, Rosario Miceli, Pietro Romano, Giuseppe Schettino, and Fabio Viola. "On Psychological Aspects about Electric Vehicles, Part 1." In 2021 Sixteenth International Conference on Ecological Vehicles and Renewable Energies (EVER). IEEE, 2021. http://dx.doi.org/10.1109/ever52347.2021.9456621.
Full textIlkova, Viktoria, and Adrian Ilka. "Legal aspects of autonomous vehicles — An overview." In 2017 21st International Conference on Process Control (PC). IEEE, 2017. http://dx.doi.org/10.1109/pc.2017.7976252.
Full textXu, Wenjing, Yongwang Zhao, Dianfu Ma, YuXin Zhang, and Qian Xiao. "Rely-Guarantee Reasoning about Messaging System for Autonomous Vehicles." In 2020 International Symposium on Theoretical Aspects of Software Engineering (TASE). IEEE, 2020. http://dx.doi.org/10.1109/tase49443.2020.00021.
Full textdos Santos Rosa, Nicolas, Roseli Ap Francelin Romero, and Valdir Grassi. "A Survey on the Aspects of Human-Robot Interaction in Autonomous Vehicles." In 2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE). IEEE, 2020. http://dx.doi.org/10.1109/lars/sbr/wre51543.2020.9307046.
Full textdos Santos Rosa, Nicolas, Roseli Ap Francelin Romero, and Valdir Grassi. "A Survey on the Aspects of Human-Robot Interaction in Autonomous Vehicles." In 2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE). IEEE, 2020. http://dx.doi.org/10.1109/lars/sbr/wre51543.2020.9307046.
Full textClark, George W., Todd R. Andel, and Michael V. Doran. "Simulation-Based Reduction of Operational and Cybersecurity Risks in Autonomous Vehicles." In 2019 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA). IEEE, 2019. http://dx.doi.org/10.1109/cogsima.2019.8724160.
Full textHur, Doe Young, Edwin Peraza Hernandez, Edgar Galvan, Darren Hartl, and Richard Malak. "Design Optimization of Folding Solar Powered Autonomous Underwater Vehicles Using Origami Architecture." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67848.
Full textBezai, Nacer-Eddine, Benachir Medjdoub, Fodil Fadli, Moulay Larby Chalal, and Amin Al-Hbeibeh. "Autonomous vehicles and smart cities: future directions of ownership vs shared mobility." In Post-Oil City Planning for Urban Green Deals Virtual Congress. ISOCARP, 2020. http://dx.doi.org/10.47472/pqrn8660.
Full textReina, G., and M. M. Foglia. "On Wind-Driven Land Vehicles." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66664.
Full textDaoud, Alaa. "Multi-agent Approach to Resource Allocation in Autonomous Vehicle Fleets." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/671.
Full textReports on the topic "Autonomous vehicles – Psychological aspects"
Fang, Chen. Unsettled Issues in Vehicle Autonomy, Artificial Intelligence, and Human-Machine Interaction. SAE International, April 2021. http://dx.doi.org/10.4271/epr2021010.
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