Human computer interaction, Human Factors and Ergonomics, UX research, autonomous driving
17
Scopus Publications
270
Scholar Citations
10
Scholar h-index
10
Scholar i10-index
Scopus Publications
Evaluating the Effectiveness of Design Guidelines in an Indoor Navigation App for People With Disabilities Vanessa Nasr, Chihab Nadri, Farzaneh Shahini, Sarah Allahvirdi, Maryam Zahabi Proceedings of the Human Factors and Ergonomics Society, 2025 This study evaluated the application of indoor navigation design guidelines for individuals with disabilities using a custom-developed app, FIND, as a testbed. Twenty-five participants with or without disabilities completed five use-case scenarios while performance data and qualitative feedback were collected. Results supported several key guidelines related to consistency, user control, and real-world alignment, while also identifying areas for improvement. The findings of this study, in terms of guidelines, can be used by developers and researchers when designing indoor navigation technologies to better cater to the diverse needs of individuals with disabilities.
Use of a Monocular Head-Worn Display in Lieu of a Head-Up Display for Commercial Aircraft Approach and Landing With an Enhanced Flight Vision System: Considerations for Safety and Usability David C. Newton, Theodore C. Mofle, Farzaneh Shahini, Inchul Choi, Hanna C. Knight Proceedings of the Human Factors and Ergonomics Society, 2025 An experiment was conducted to determine whether pilot performance, workload, and usability during low-visibility approaches and landings differed depending on whether pilots flew with a HUD or a monocular HWD, as well as whether they flew with or without an Enhanced Flight Vision System (EFVS). Eleven Part 121 flight crews flew SA CAT I approach and landing scenarios using a HUD and a monocular HWD with and without an EFVS in a Boeing 737 Level D-equivalent simulator. Findings suggest that a monocular HWD may not have a significant impact on a pilot’s ability to manage the flightpath during a routine SA CAT I operation with or without an EFVS; however, the monocular HWD elevated pilot workload. Pilots reported that the EFVS enhanced their awareness of the runway environment when transitioning from instrument to visual flight references; however, it was reported to interfere with natural runway visibility when transitioning to landing.
Assessing advanced driver assistance systems in police vehicles under demanding conditions Farzaneh Shahini, Vanessa Nasr, Maryam Zahabi Ergonomics, 2025 Advanced driver-assistance systems (ADAS) are technologies that can enhance drivers' safety by relieving them from some driving related activities. However, police driving conditions and demands are different from those of civilian drivers. The objective of this study was to assess the impact of ADAS such as forward collision warning (FCW), automatic emergency braking (AEB), and blind spot monitoring (BSM) on police officers' driving performance, workload, and trust in vehicle safety to provide personalised solutions for police vehicles. A driving simulation study was conducted with 18 police officers. ADAS use was assessed under various driving conditions and while officers were engaged in non-driving related tasks. Findings suggested that the FCW and AEB systems improved officers' driving performance, while the BSM system had limited effectiveness due to low salience. ADAS were beneficial under normal driving conditions and when officers were using in-vehicle technology; however, they did not help officers in pursuit conditions.
Predictive Models of Brake Reaction and Steering of Police Officers in Critical Driving Situations Farzaneh Shahini, Chihab Nadri, Maryam Zahabi Proceedings of the Human Factors and Ergonomics Society, 2024 Motor vehicle crashes involving police vehicles significantly impact law enforcement officer (LEO) safety, often occurring during high-risk maneuvers like pursuit driving and sudden lane changes. These incidents are exacerbated by LEOs’ interaction with in-vehicle technologies, including Mobile Computer Terminals. Advanced Driver-Assistance Systems (ADAS) could mitigate these risks, though existing ADAS algorithms are not tailored to the unique work demands. To address these challenges, our study develops predictive models for LEO braking and steering in critical situations, based on a driving simulator experiment with police officers. Both braking and steering models were constructed and identified as effective in predicting police officer braking response and steering. The models can be practically applied as part of ADAS systems to deliver warnings at appropriate times, adapting to police officer demands in critical driving situations. Study implications contribute to the wider body of knowledge on surface transportation, occupational safety, and the use of adaptive models.
Use of a Head-Worn Display for Approach and Landing in a Transport Category Aircraft: Does Monocular Viewing Impact Pilot Performance and Workload? David C. Newton, Eric T. Greenlee, Theodore C. Mofle, Farzaneh Shahini, Rebecca DiDomenica, Inchul Choi Proceedings of the Human Factors and Ergonomics Society, 2024 When manually flying an approach and landing, pilots can use a Head-Up Display (HUD), binocular Head-Worn Display (HWD), or monocular HWD to view flight symbology that is superimposed onto their view of the runway environment. There are design differences across these displays that could impact pilots’ performance and workload while flying. Based on these concerns, an experiment was conducted where 18 Airline Transport Pilot Captains flew approach, landing, and rollout scenarios with varying visibility levels in a Level D-equivalent Boeing 737 flight simulator. Pilots manually flew each scenario while using flight symbology presented on a HUD, binocular HWD, or monocular HWD. Pilots rated their workload during each scenario using the NASA-TLX. While flightpath tracking and energy management performance was not impacted by display type, pilot workload was highest when flying with a Monocular HWD and lowest when flying with a HUD. The operational takeaways and theoretical implications are discussed.
Effects of unreliable automation, non-driving related task, and takeover time budget on drivers’ takeover performance and workload Farzaneh Shahini, Junho Park, Kyle Welch, Maryam Zahabi Ergonomics, 2023 The objective of this study was to assess the effects of unreliable automation, non-driving related tasks (NDRTs), and takeover time budget (TOTB) on drivers' takeover performance and cognitive workload when faced with critical incidents. Automated vehicles are expected to improve traffic safety. However, there are still some concerns about the effects of automation failures on driver performance and workload. Twenty-eight drivers participated in a driving simulation study. The findings suggested that drivers require at least 8s of TOTB to safely take over the control of the vehicle. In addition, drivers exhibited safer takeover performance under the conditionally automated driving situation than negotiating the critical incident in the manual driving condition. The results of drivers' cognitive workload were inconclusive, which might be due to the individual and recall biases in subjective measures that could not capture subtle differences in workload during takeover requests.
Design of Navigation Applications for People with Disabilities: A Review of Literature and Guideline Formulation Maryam Zahabi, Xi Zheng, Azima Maredia, Farzaneh Shahini International Journal of Human Computer Interaction, 2023 A mobile navigation application (App) can provide flexible wayfinding guidance, save time, and reduce stress for people in unfamiliar buildings or environments. Wayfinding is also a challenging task for individuals with disabilities. The objective of this study was to provide a comprehensive set of guidelines for designing navigation apps for individuals with disabilities. A review of the literature was conducted on scientific studies and commercially available navigation apps using Web of Science, Compendex, ACM Digital Library, IEEE Xplore, Wiley Online, Science Direct, SpringerLink, Taylor & Francis, Apple store, and Google Play. The findings led to 82 design guidelines categorized based on Nielsen’s usability principles. The guidelines were implemented in an interface prototype to help users navigate places within a shopping mall. The prototype demonstrated that the proposed design guidelines are easily applicable and provided a roadmap for the future design of navigation apps for people with different types of disabilities.
A Friendly Indoor Navigation App for People with Disabilities (FIND) Farzaneh Shahini, Vanessa Nasr, Maryam Zahabi Proceedings of the Human Factors and Ergonomics Society, 2022 Persons with disabilities in our communities often find it difficult to achieve and maintain an independent and high quality of life. A significant cause of this issue is the challenge in independently navigating locations. Some prior studies investigated indoor navigation apps for one group of disabled users but few have addressed wayfinding needs of people with various disabilities simultaneously. The objective of this research was to design a friendly indoor navigation app for people with disabilities (FIND). The interface was evaluated and enhanced using a heuristic evaluation and focus group meeting with usability experts. The results were analyzed based on Molich and Nielsen’s usability principles and using a content analysis approach. The provided recommendations can be beneficial to improve the design of navigation apps for people with disabilities.
Physical and cognitive demands associated with police in-vehicle technology use: an on-road case study Maryam Zahabi, Farzaneh Shahini, Wei Yin, Xudong Zhang Ergonomics, 2022 Motor vehicle crashes are a leading cause of police officers' deaths in line of duty. These crashes have been mainly attributed to officers' driving distraction caused by the use of in-vehicle technologies while driving. This paper presents a 3-hour ride-along study of 20 police officers to assess the physical and cognitive demands associated with using in-vehicle technologies. The findings suggested that the mobile computer terminal (MCT) was the most frequently used in-vehicle system for the officers. In addition, officers perceived the MCT to significantly increase their visual, cognitive, and physical demands compared to other in-vehicle technologies. Evidence from electromyography and eye-tracking measures suggested that officers with more experience as a patrol officer and those who were working in more congested areas experienced higher cognitive workload. Furthermore, it was found that as the ride-along duration increased, there were indications of muscle fatigue in medial deltoid and triceps brachii muscles.Practitioner Summary: This study assessed the impact of police in-vehicle technology use in an on-road case study. The findings provide new data and knowledge for police agencies and vehicle manufacturers to develop administrative measures and in-vehicle technology innovations to improve police officers' health and safety.
Use of a Monocular and Binocular Head-Worn Display in Lieu of a Head-Up Display During Approach, Landing, and Rollout: Human Factors Evaluation of Pilot Performance and Workload DC Newton, ET Greenlee, TC Mofle, F Shahini, R DiDomenica, I Choi, ... 2026
Pilot Performance, Workload, and Usability Considerations for the Use of a Monocular Head-Worn Display in Lieu of a Head-Up Display During SA CAT I Approach, Landing, and … DC Newton, I Choi, H Forbat, R DiDomenica, F Shahini, TC Mofle, ... 2026
Use of a Monocular Head-Worn Display in Lieu of a Head-Up Display for Commercial Aircraft Approach and Landing With an Enhanced Flight Vision System: Considerations for Safety … DC Newton, TC Mofle, F Shahini, I Choi, HC Knight Proceedings of the Human Factors and Ergonomics Society Annual Meeting 69 (1 … , 2025 2025
Evaluating the Effectiveness of Design Guidelines in an Indoor Navigation App for People With Disabilities V Nasr, C Nadri, F Shahini, S Allahvirdi, M Zahabi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 69 (1 … , 2025 2025
Assessing advanced driver assistance systems in police vehicles under demanding conditions F Shahini, V Nasr, M Zahabi Ergonomics 68 (8), 1320-1334 , 2025 2025 Citations: 4
Predictive Models of Brake Reaction and Steering of Police Officers in Critical Driving Situations F Shahini, C Nadri, M Zahabi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 68 (1 … , 2024 2024 Citations: 1
Use of a Head-Worn Display for Approach and Landing in a Transport Category Aircraft: Does Monocular Viewing Impact Pilot Performance and Workload? DC Newton, ET Greenlee, TC Mofle, F Shahini, R DiDomenica, I Choi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 68 (1 … , 2024 2024 Citations: 1
Design of navigation applications for people with disabilities: A review of literature and guideline formulation M Zahabi, X Zheng, A Maredia, F Shahini International journal of human–computer interaction 39 (14), 2942-2964 , 2023 2023 Citations: 37
Analysis of Advanced Driver-Assistance Systems in Police Vehicles M Zahabi, F Shahini, V Nas, D Wozniak 2023 Citations: 1
Effects of unreliable automation, non-driving related task, and takeover time budget on drivers’ takeover performance and workload F Shahini, J Park, K Welch, M Zahabi Ergonomics 66 (2), 182-197 , 2023 2023 Citations: 38
Modeling and Analysis of Advanced Driver Assistance Systems in Police Vehicles F Shahini Texas A&M University , 2023 2023 Citations: 1
Effects of levels of automation and non-driving related tasks on driver performance and workload: A review of literature and meta-analysis F Shahini, M Zahabi Applied ergonomics 104, 103824 , 2022 2022 Citations: 51
Effect of variable priority training on police officer driving performance and workload M Zahabi, V Nasr, AM Abdul Razak, L McCanless, A Maredia, ... Ergonomics 65 (8), 1057-1070 , 2022 2022 Citations: 13
Law enforcement officers’ acceptance of advanced driver assistance systems: An application of technology acceptance modeling (TAM) F Shahini, V Nasr, D Wozniak, M Zahabi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65 (1) , 2022 2022 Citations: 6
A Friendly Indoor Navigation App for People with Disabilities (FIND) F Shahini, V Nasr, M Zahabi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65 (1) , 2022 2022 Citations: 11
Physical and cognitive demands associated with police in-vehicle technology use: an on-road case study M Zahabi, F Shahini, W Yin, X Zhang Ergonomics 65 (1), 91-104 , 2022 2022 Citations: 21
Analysis of advanced driver assistance systems in police vehicles: A survey study D Wozniak, F Shahini, V Nasr, M Zahabi Transportation research part F: traffic psychology and behaviour 83, 1-11 , 2021 2021 Citations: 18
Application of advanced driver-assistance systems in police vehicles V Nasr, D Wozniak, F Shahini, M Zahabi Transportation research record 2675 (10), 1453-1468 , 2021 2021 Citations: 24
Usability evaluation of police mobile computer terminals: A focus group study F Shahini, D Wozniak, M Zahabi International Journal of Human–Computer Interaction 37 (15), 1478-1487 , 2021 2021 Citations: 10
Effects of unreliable automation and takeover time budget on young drivers’ mental workload F Shahini, J Park, M Zahabi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65 (1 … , 2021 2021 Citations: 9
MOST CITED SCHOLAR PUBLICATIONS
Effects of levels of automation and non-driving related tasks on driver performance and workload: A review of literature and meta-analysis F Shahini, M Zahabi Applied ergonomics 104, 103824 , 2022 2022 Citations: 51
Effects of unreliable automation, non-driving related task, and takeover time budget on drivers’ takeover performance and workload F Shahini, J Park, K Welch, M Zahabi Ergonomics 66 (2), 182-197 , 2023 2023 Citations: 38
Design of navigation applications for people with disabilities: A review of literature and guideline formulation M Zahabi, X Zheng, A Maredia, F Shahini International journal of human–computer interaction 39 (14), 2942-2964 , 2023 2023 Citations: 37
Application of advanced driver-assistance systems in police vehicles V Nasr, D Wozniak, F Shahini, M Zahabi Transportation research record 2675 (10), 1453-1468 , 2021 2021 Citations: 24
Physical and cognitive demands associated with police in-vehicle technology use: an on-road case study M Zahabi, F Shahini, W Yin, X Zhang Ergonomics 65 (1), 91-104 , 2022 2022 Citations: 21
Analysis of advanced driver assistance systems in police vehicles: A survey study D Wozniak, F Shahini, V Nasr, M Zahabi Transportation research part F: traffic psychology and behaviour 83, 1-11 , 2021 2021 Citations: 18
Police officer interactions with in-vehicle technologies: an on-road investigation F Shahini, M Zahabi, B Patranella, A Mohammed Abdul Razak Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64 (1 … , 2020 2020 Citations: 14
Effect of variable priority training on police officer driving performance and workload M Zahabi, V Nasr, AM Abdul Razak, L McCanless, A Maredia, ... Ergonomics 65 (8), 1057-1070 , 2022 2022 Citations: 13
A Friendly Indoor Navigation App for People with Disabilities (FIND) F Shahini, V Nasr, M Zahabi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65 (1) , 2022 2022 Citations: 11
Usability evaluation of police mobile computer terminals: A focus group study F Shahini, D Wozniak, M Zahabi International Journal of Human–Computer Interaction 37 (15), 1478-1487 , 2021 2021 Citations: 10
Effects of unreliable automation and takeover time budget on young drivers’ mental workload F Shahini, J Park, M Zahabi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65 (1 … , 2021 2021 Citations: 9
Application of cognitive performance modeling for usability evaluation of emergency medical services in-vehicle technology J Park, J McKenzie, F Shahini, M Zahabi Proceedings of the human factors and ergonomics society annual meeting 64 (1 … , 2020 2020 Citations: 9
Law enforcement officers’ acceptance of advanced driver assistance systems: An application of technology acceptance modeling (TAM) F Shahini, V Nasr, D Wozniak, M Zahabi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65 (1) , 2022 2022 Citations: 6
Assessing advanced driver assistance systems in police vehicles under demanding conditions F Shahini, V Nasr, M Zahabi Ergonomics 68 (8), 1320-1334 , 2025 2025 Citations: 4
Predictive Models of Brake Reaction and Steering of Police Officers in Critical Driving Situations F Shahini, C Nadri, M Zahabi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 68 (1 … , 2024 2024 Citations: 1
Use of a Head-Worn Display for Approach and Landing in a Transport Category Aircraft: Does Monocular Viewing Impact Pilot Performance and Workload? DC Newton, ET Greenlee, TC Mofle, F Shahini, R DiDomenica, I Choi Proceedings of the Human Factors and Ergonomics Society Annual Meeting 68 (1 … , 2024 2024 Citations: 1
Analysis of Advanced Driver-Assistance Systems in Police Vehicles M Zahabi, F Shahini, V Nas, D Wozniak 2023 Citations: 1
Modeling and Analysis of Advanced Driver Assistance Systems in Police Vehicles F Shahini Texas A&M University , 2023 2023 Citations: 1
EFFECTS OF AUTOMATION AND TAKEOVER TIME BUDGET ON YOUNG DRIVERS’PERFORMANCE AND WORKLOAD F Shahini 2021 Citations: 1
Use of a Monocular and Binocular Head-Worn Display in Lieu of a Head-Up Display During Approach, Landing, and Rollout: Human Factors Evaluation of Pilot Performance and Workload DC Newton, ET Greenlee, TC Mofle, F Shahini, R DiDomenica, I Choi, ... 2026
