Yovela Murzello

ORCID: 0000-0002-4563-2373
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Traffic and Road Safety
  • Human-Automation Interaction and Safety
  • Psychology of Moral and Emotional Judgment
  • Safety Warnings and Signage
  • Ethics in Business and Education
  • Older Adults Driving Studies
  • Neural and Behavioral Psychology Studies
  • Ethics and Social Impacts of AI
  • Explainable Artificial Intelligence (XAI)
  • Traffic Prediction and Management Techniques
  • Urban Transport and Accessibility
  • Adversarial Robustness in Machine Learning
  • Deception detection and forensic psychology
  • Organ Donation and Transplantation
  • Law, AI, and Intellectual Property
  • Autonomous Vehicle Technology and Safety

University of Waterloo
2022-2024

Hazard perception (HP) is the process of detecting and identifying hazards. Drivers’ HP abilities are critical for driving safety. This paper presents a systematic literature review driver HP, including scientific measures major human factors affecting training methods improving skills. Sixty-nine peer-reviewed studies were identified reviewed. The results showed that common include hazard scenario questionnaires, reaction time, hit rate, eye fixation such as probability, duration, variance....

10.1177/03611981221096666 article EN Transportation Research Record Journal of the Transportation Research Board 2022-06-15

The present study examined the impact of aging on ethical decision-making in simulated critical driving scenarios. 204 participants from North America, grouped into two age groups (18–30 years and 65 above), were asked to decide whether their automated vehicle should stay or change current lane scenarios mimicking Trolley Problem. Each participant viewed a video clip rendered by simulator at Old Dominion University pressed space-bar if they decided intervene control an online experiment....

10.26599/jicv.2023.9210031 article EN cc-by Journal of Intelligent and Connected Vehicles 2024-03-01

Autonomous vehicles (AVs) face critical decisions in pedestrian interactions, necessitating ethical considerations such as minimizing harm and prioritizing human life. This study investigates machine learning models to predict decision making simulated driving scenarios under varying configurations time constraints. Data were collected from 204 participants across 12 unique scenarios, categorized into young (24.7 ± 3.5 years, 38 males, 64 females) older (71.0 5.7 59 43 age groups....

10.3390/info15090562 article EN cc-by Information 2024-09-11

As autonomous vehicles (AV) are becoming more pervasive in transportation, it is important to consider drivers' perceptions of these vehicles. The existing research has investigated taking over AV control, its safety and acceptance. However, the preferences for self-driving multiple traffic situations have not been extensively investigated. In Part I, we aim bridge gaps by investigating such high low complexities. Eighty-eight participants North America were recruited. They viewed video...

10.1080/1463922x.2024.2334034 article EN Theoretical Issues in Ergonomics Science 2024-04-02

Background: Previous research has shown that drivers from different age groups demonstrated Situation Awareness (SA) levels in the takeover process of conditional automated driving, where need to collect surrounding information, perceive hazardous events, and make correct actions. Objective: To further explore reason for this age-related difference, we investigated SA two measures, Hazard Perception Time scores delayed SAGAT questions. The time reflects both cognitive processes ocular...

10.1109/access.2024.3422322 article EN cc-by-nc-nd IEEE Access 2024-01-01

The transition period from automation to manual, known as the takeover process, presents challenges for drivers due deficiency in collecting requisite contextual information. current study collected drivers’ eye movement a simulated experiment, and their Situation Awareness (SA) was assessed using Global Assessment Technique (SAGAT) method. Stationary Gaze Entropy (SGE) calculated based on percentages of time they spent six pre-defined Areas Interests (AOIs). Three critical windows were...

10.1177/10711813241275910 article EN cc-by Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2024-08-29

While autonomous vehicles are being developed for the future of surface transportation, drivers today still need to be prepared takeover. The objective this study is understand optimal gaze strategy during take-over process. First, an affine transfer method was used link eye tracking coordinates and pre-defined Aera-of-Interests (AOIs) locations. Then, independent t-tests were applied analyze relevance between determined by time percentages on various AOIs Situation Awareness (SA) Hazard...

10.1177/21695067231193650 article EN cc-by Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2023-09-01

Road safety has remained a primary issue worldwide since the advent of automobiles. Significant advances have been made over past several decades that led to substantial improvements in safety. These include changes infrastructure, automobiles including ambient interfaces, connected and automated technology, availability advanced cognitive training interventions. However, recent spread COVID-19 subsequent social distancing measures, travel bans partial/complete lockdowns worldwide, caused...

10.54941/ahfe1002458 article EN AHFE international 2022-01-01
Coming Soon ...