Article
Behavioral Sciences
Jeffrey Glassman, Sarah Yahoodik, Siby Samuel, Jared Young, Michael K. Knodler, Tingru Zhang, Tracy Zafian, Donald L. Fisher, Yusuke Yamani
Summary: The study found that ACCEL improves young novice drivers' latent hazard anticipation performance, with a second dose of training further enhancing this effect.
Article
Ergonomics
Noa Zangi, Rawan Srour-Zreik, Dana Ridel, Hadas Chasidim, Avinoam Borowsky
Summary: This study examines the impact of engagement with non-driving related tasks on the driving performance of partially automated vehicle (PAV) drivers. The findings show that engagement with non-driving related tasks impairs drivers' awareness of road hazards and increases their mental workload under partially automated driving conditions (L2). Additionally, the attentional time-sharing strategy between the non-driving related tasks and the roadway monitoring task affects the probability of identifying a hazard.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Computer Science, Artificial Intelligence
Jiawei Xu, Kun Guo, Poly Z. H. Sun
Summary: Studying drivers' eye movement and driving operation behavior when they encounter traffic rule violators is crucial for safe driving. Novice drivers tend to ignore their vehicle position and may collide with other road users. In emergent situations, they can only perform either steering or braking, lacking the ability to combine both like experienced drivers do. Furthermore, experienced drivers allocate less time to looking and more time to scanning their surroundings when faced with higher driving difficulty. This study reveals the differences between novice and experienced drivers, providing valuable reference for future advanced driving assistance systems.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2022)
Article
Psychology, Applied
Rotem Duffney, Avinoam Borowsky, Hillel Bar-Gera
Summary: The motivation for overtaking is influenced by factors such as desired speed, aggressiveness, competitiveness, and sensation-seeking. The presence of an adaptive cruise control (ACC) system and the configuration of the headway time affect the driver's tendency to overtake, as well as the speed and speed variance of the lead vehicle.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Psychology, Applied
Weihua Zhang, Yajun Wang, Zhongxiang Feng, Shunying Zhu, Jianqiang Cui, Wei Hao, Cheng Wang
Summary: Compared with experienced drivers, young novice drivers are more likely to have traffic accidents due to lack of experience, weak hazard perception, and underdeveloped visual search strategy. Research shows that training based on observing experienced drivers' behavior can improve hazard perception ability of young novice drivers.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Chemistry, Analytical
Jordan Navarro, Emanuelle Reynaud, Marie Claude Ouimet, Damien Schnebelen
Summary: This study compared the effects of FCWS on novice drivers and experienced drivers and found that FCWS can significantly reduce the number of near-collision events and enhance visual behaviors. However, it was also observed that FCWS leads to longer brake reaction times. Nevertheless, FCWS still provides a safety benefit for novice drivers.
Article
Psychology, Applied
Mark S. Horswill, Andrew Hill, Lisa Buckley, Genevieve Kieseker, Francine Elrose
Summary: Hazard perception training is proposed as a strategy to reduce crash risk in drivers. Previous studies have shown that the effect of training often decays over time, but a new study found that a training course incorporating evidence-based strategies can minimize skill decay. The course significantly improved hazard perception scores in novice drivers in both the short and medium term, without increasing driver confidence, which could have unintended negative effects on crash risk.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2023)
Article
Multidisciplinary Sciences
Yang Du, Jin-yi Zhi, Si-jun He
Summary: This study investigated the impact of experience on the visual behavior and driving performance of high-speed train drivers, and found that experience could change the driver's information collection method and increase the consistency of group operations, thereby reducing the likelihood of accidents.
SCIENTIFIC REPORTS
(2022)
Article
Ergonomics
Yalda Ebadi, Abigail Helm, Apoorva P. Hungund, Shannon C. Roberts, Jennifer M. McDermott, Jeffery N. Epstein, Donald L. Fisher
Summary: The study found that L2 driving automation systems can decrease hazard anticipation and mitigation skills among young drivers with symptoms of ADHD, impacting them differently depending on their level of automation.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Ergonomics
Bria Gresham, Benjamin McManus, Sylvie Mrug, Kristina Visscher, Thomas Anthony, Despina Stavrinos
Summary: The study aimed to validate the ARDES in novice adolescent drivers and investigate its factor structure as well as its relationships with self-reported daily inattention, performance-based attention assessments, and a self-report measure of driving behavior. Results indicated that ARDES items can be categorized based on their operational level of driving, showing good internal reliability and construct validity as a valid self-report measure for assessing adolescents' attentional errors while driving.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Psychology, Clinical
Canida Castro, Petya Ventsislavova, Pedro Garcia-Fern, David Crundall
Summary: The study found that non-drivers and novice drivers were less able to predict upcoming hazards and more likely to make risky decisions. Driving scenarios from another country (UK) appeared to provoke riskier decisions than those from the participants' home country (Spain).
PSYCHOLOGY RESEARCH AND BEHAVIOR MANAGEMENT
(2021)
Article
Ergonomics
Mark S. Horswill, Andrew Hill, Likitha Silapurem, Marcus O. Watson
Summary: The study developed a six-session online hazard perception training course for drivers, incorporating real crash footage and evidence-based strategies, leading to significant improvements in hazard perception response time, hazard prediction scores, and vehicle following distances. The results suggest that the course can improve key behaviors associated with crash risk.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Ergonomics
Lvqing Miao, Yunjiao Gu, Lichun He, Huarong Wang, David C. Schwebel, Yongjiang Shen
Summary: Listening to fast tempo music was associated with increased mental load and reduced hazard perception ability in traffic among novice drivers. Listening to slow tempo music did not increase novice drivers' mental load and offered some benefit to their hazard perception.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Clinical Neurology
Morteza Asadamraji, Veerle Ross, Ali Yarahmadi
Summary: This paper examines the factors influencing young drivers' hazard avoidance in Iran and collects data through questionnaire survey and experiments. The results show that driver hazard avoidance is mainly influenced by inhibitory control, impulsive behavior and attitude, and violation of laws. These findings have implications for policymakers in assessing hazard avoidance and improving traffic safety training programs.
APPLIED NEUROPSYCHOLOGY-ADULT
(2022)
Article
Ergonomics
Thomas Kerwin, Benjamin McManus, Cameron Wrabel, Vishaka Kalra, Despina Stavrinos, Jingzhen Yang
Summary: This study aimed to evaluate the simulated driving performance of young drivers within 96 hours of mild traumatic brain injury (mTBI), compared to healthy controls, and assess the effects of increased cognitive load on driving performance. The preliminary findings suggest that mTBI drivers tend to maintain a greater distance from the car in front of them than healthy controls, and high cognitive load is associated with longer reaction times.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Computer Science, Cybernetics
Tal Oron-Gilad, Ilit Oppenheim, Yisrael Parmet
Summary: This study focuses on the implementation of robotic technologies and bi-directional graphic communication tools to support battlefield operations. It highlights the necessity of user-centered development and evaluation and raises questions about further collaboration with intelligent unmanned systems.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2022)
Article
Ergonomics
Guy Cohen-Lazry, Asaf Degani, Tal Oron-Gilad, P. A. Hancock
Summary: Interaction with and dependency on intelligent autonomous systems may elicit discomfort or fear, which is crucial for the design and implementation of future technologies. This paper proposes a theoretical model of discomfort based on existing models and definitions, emphasizing internal mental processes that contribute to the formation of discomfort. It specifically examines how environmental stimuli are connected to personal needs and expectations, and how the gap between internal and external factors leads to discomfort.
THEORETICAL ISSUES IN ERGONOMICS SCIENCE
(2023)
Article
Engineering, Industrial
Dana Gutman, Samuel A. Olatunji, Noa Markfeld, Shai Givati, Vardit Sarne-Fleischmann, Tal Oron-Gilad, Yael Edan
Summary: This paper examines how the autonomy level and feedback of an assistive robot affect the interaction with older adults. The study finds that matching the autonomy level and feedback can improve the quality of interaction between older adults and robots.
APPLIED ERGONOMICS
(2023)
Article
Clinical Neurology
Ronit Aviram, Inbar Kima, Yisrael Parmet, Haim Bassan, Thierry Willigenburg, Raziel Riemer, Simona Bar-Haim
Summary: This study evaluated muscle haemodynamics and oxygen metabolism in adults with cerebral palsy (CP) at rest and during exercise. The results showed that participants with CP had lower muscle blood flow at rest and low load, but increased blood flow at high load. Compared to typically developing individuals, participants with CP had higher muscle saturation, suggesting inefficient oxygen utilization.
DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
(2023)
Article
Surgery
Dor Freidin, Roei Singolda, Shai Tejman-Yarden, Yisrael Parmat, Alon Liran, Hagit Ofir, Olga Saukhat, Josef Haik, Yoav Barnea, Ariel Tessone
Summary: This study compared the feasibility of using VR stereoscopical 3D imaging and 2D computed tomography angiography (CTA) images to evaluate abdominal vascular anatomy before autologous breast reconstruction. The surgeons found that the VR models provided better anatomical understanding and operative anatomical findings compared to CTA. In addition, VR imaging was well-accepted by the surgeons and had the potential to modify the surgical strategy without complications.
PLASTIC AND RECONSTRUCTIVE SURGERY-GLOBAL OPEN
(2023)
Article
Robotics
Ela Liberman-Pincu, Yisrael Parmet, Tal Oron-Gilad
Summary: Socially assistive robots (SARs) aim to provide assistance through social interaction. Previous studies mainly focused on users' perceptions and preferences regarding existing commercially available SARs. This study systematically evaluates the effect of isolated visual qualities (VQs) on SARs, using 30 new models with varying VQs. The empirical findings link VQs with perceptions of SAR characteristics, providing potential guidelines for industrial design processes.
ACM TRANSACTIONS ON HUMAN-ROBOT INTERACTION
(2023)
Article
Multidisciplinary Sciences
Yogev Koren, Shirley Handelzalts, Yisrael Parmet, Simona Bar-Haim
Summary: Gazing down a few steps ahead can enhance postural control in older adults and stroke survivors, but extreme downward gazing can impair stability, especially in stroke patients.
Article
Multidisciplinary Sciences
Shai Tejman-Yarden, Dor Freidin, Netanel Nagar, Yisrael Parmet, Muhamed Abed, Oliana Vazhgovsky, David Yogev, Dov Ganchrow, Efrat Mazor-Drey, Sumit Chatterji, Roy Beinart, Israel Barbash, Victor Guetta, Orly Goitein
Summary: This study explored the feasibility and accuracy of virtual reality (VR) derived from cardiac computed angiography (CCTA) data in predicting the size of left atrial appendage occlusion (LAAO) devices. The results showed that VR measurement of the maximal ostium diameter had the strongest correlation with the diameter of the inserted device, indicating that VR may provide new imaging possibilities for the evaluation of complex pre-procedural structures.
Article
Otorhinolaryngology
Gilad Feinmesser, David Yogev, Tomer Goldberg, Yisrael Parmet, Shay Illouz, Oliana Vazgovsky, Yael Eshet, Shai Tejman-Yarden, Eran Alon
Summary: This study explored the value of using a virtual reality platform for pre-operative planning in head and neck skin cancer patients undergoing sentinel lymph node biopsies, as well as its role in resident training. The results showed that the VR simulation accurately portrayed sentinel lymph nodes and was rated highly by attending surgeons and residents as an effective surgical planning and teaching tool.
AMERICAN JOURNAL OF OTOLARYNGOLOGY
(2023)
Article
Engineering, Industrial
Anat Meir, Hagai Tapiro, Tal Oron-Gilad
Summary: This study aimed to explore the psychological factors that influence children's behavior when crossing roads and study their influence on children's decisions and intentions. Fixed and dynamic urban crossing scenes were used, and a variety of direct and indirect measures were collected and analyzed. Findings suggest that using several evaluation measurements aids the performance assessment process.
Proceedings Paper
Robotics
Ela Liberman-Pincu, Elmer D. van Grondelle, Tal Oron-Gilad
Summary: Robots' visual qualities have an impact on people's perception and behaviors towards the robot. The need for Socially Assistive Robots (SARs) is increasing in various contexts, and the user experience varies based on the context, functionality, user characteristics, and environmental conditions. However, SAR manufacturers often use the same robotic embodiment for different contexts. This study argues for a more scientific approach in the visual design of SARs considering their evolving roles in society.
HUMAN-FRIENDLY ROBOTICS, HFR, 2022
(2023)
Article
Gastroenterology & Hepatology
David Hochstein, Shai Tejman-Yarden, Olga Saukhat, Oliana Vazgovski, Yisrael Parmet, Netanel Nagar, Edward Ram, Dan Carter
Summary: Three-dimensional virtual reality technology allows precise reconstruction of CT images and measurement of colonic anatomical parameters. This study aimed to determine if 3D reconstructions of the colon could help identify and quantify the key anatomical features leading to colonoscopy failure.
THERAPEUTIC ADVANCES IN GASTROENTEROLOGY
(2023)
Article
Robotics
Ori Fartook, Karon Maclean, Tal Oron-Gilad, Jessica R. Cauchard
Summary: This article presents a study on social drones, focusing on their ability to communicate emotions even while perched. The research demonstrates that a drone's respiratory rate, body posture, and head movements can influence the perception of emotions. The findings offer design implications and potential future applications for social drones.
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Ori Fartook, Tal Oron-Gilad, Jessica R. Cauchard
Summary: Recent research in the field of human-computer interaction suggests that drones can possess emotional capabilities and go beyond their traditional role as mechanical objects. This study builds upon these findings and envisions drones as a form of emotional support technology. By conducting design workshops with non-expert users, we were able to create a prototype for a companion drone that explores this concept.
COMPANION OF THE ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2023
(2023)
