Fjollë Novakazi
Fjollë Novakazi Position: Postdoctoral Researcher School/office: School of Science and TechnologyEmail: ZmpvbGxlLm5vdmFrYXppO29ydS5zZQ==
Phone: No number available
Room: T2212
About Fjollë Novakazi
Fjollë Novakazi is a Human Factors researcher specialising in cognitive ergonomics, dedicated to the human-centric development of complex technical systems. Fjollë is passionate about improving human interaction with technology to enhance safety and efficiency to enhance the human experience. She employs an empirical mixed-methods approach in her work, utilising surveys, in-depth interviews, co-design workshops, naturalistic studies, field evaluations, ethnographic observations, and more to gather comprehensive insights for her research.
Fjollë earned her PhD in Human-Technology-Design in December 2023 at the Division of Design & Human Factors at Chalmers University of Technology. Her thesis explored the factors that influence drivers' perception and consequent understanding of driving automation systems, developing a conceptual model describing how perception shapes the mental model and proposing human-centric design solutions to address the identified challenges. Her foundational work in this area was recognised with the Best Paper Award for the Journal of Cognitive Engineering and Decision Making from the Human Factors and Ergonomics Society in 2022.
In 2024, she joined the Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University as a postdoctoral researcher. Fjollë is part of the synergy project TeamRob, funded by the Knowledge Foundation Sweden (KKS), which examines human-robot teams and their realisation from various perspectives. She particularly focuses on the factors affecting the successful introduction of collaborative robotics in the manufacturing workplace and participates in efforts to develop a knowledge framework describing the complex setting in production assembly lines to inform the development of intention recognition frameworks for collaborative manufacturing.
Additionally, she is responsible for a second-cycle course in the Computer Engineering programme, teaching Advanced Human-Computer Interaction, where she introduces students to human-centric development approaches within the software development life cycle.
In her other capacities, Fjollë is an editorial board member of the International Journal of Human Factors and Ergonomics and contributes as a standard developer within TK380/AG 2 Ergonomics and Human Factors at the Swedish Institute for Standards (SIS) and in international working groups, ensuring that ergonomic principles are integrated into technical standards.
Before her tenure in academia, Fjollë worked as a Senior Design Engineer in the automotive sector. In this role, she led various research studies and supervised activities to ensure the human-centric development of automotive user interfaces. Her work involved interdisciplinary and international collaboration, covering all stages of research projects, from the initial planning and organisation to the execution. Fjollë also played a crucial role in analysing the results, using the insights gained to inform and refine the design process according to human-centric principles.
Research projects
Active projects
Research groups
Publications
Articles in journals
- Novakazi, F. (2025). Perception's Role for Mental Model Formation in Automated Driving: Insights From Four Studies. Journal of Cognitive Engineering and Decision Making. [BibTeX]
- Kim, S. , Novakazi, F. , van Grondelle, E. , van Egmond, R. & Happee, R. (2024). Who is performing the driving tasks after interventions? Investigating drivers' understanding of mode transition logic in automated vehicles. Applied Ergonomics, 121. [BibTeX]
- Rydström, A. , Söderholm Mullaart, M. , Novakazi, F. , Johansson, M. & Eriksson, A. (2023). Drivers' Performance in Non-critical Take-Overs From an Automated Driving System-An On-Road Study. Human Factors, 65 (8), 1841-1857. [BibTeX]
- Karlsson, M. & Novakazi, F. (2023). Drivers' usage of driving automation systems in different contexts: A survey in China, Germany, Spain and USA. IET Intelligent Transport Systems, 17 (10), 2004-2019. [BibTeX]
- Novakazi, F. , Johansson, M. , Strömberg, H. & Karlsson, M. (2021). Levels of What? Investigating Drivers' Understanding of Different Levels of Automation in Vehicles. Journal of Cognitive Engineering and Decision Making, 15 (2-3), 116-132. [BibTeX]
- Johansson, M. , Mullart Söderholm, M. , Novakazi, F. & Rydström, A. (2021). The Decline of User Experience in Transition from Automated Driving to Manual Driving. Information, 12 (3). [BibTeX]
- Novakazi, F. , Johansson, M. , Erhardsson, G. & Lidander, L. (2021). Who's in charge? The influence of perceived control on responsibility and mode awareness in driving automation. Information technology, 63 (2), 77-85. [BibTeX]
- Orlovska, J. , Novakazi, F. , Bligård, L. , Karlsson, M. , Wickman, C. & Söderberg, R. (2020). Effects of the driving context on the usage of Automated Driver Assistance Systems (ADAS)-Naturalistic Driving Study for ADAS evaluation. Transportation Research Interdisciplinary Perspectives, 4. [BibTeX]
- Novakazi, F. , Orlovska, J. , Bligård, L. & Wickman, C. (2020). Stepping over the threshold linking understanding and usage of Automated Driver Assistance Systems (ADAS). Transportation Research Interdisciplinary Perspectives, 8. [BibTeX]
Chapters in books
- Karlsson, I. M. , Franzén, S. E. & Novakazi, F. (2024). Field operational tests (FOTs) - (still) the ultimate answer to impact assessment?. In: Meng Lu, Evaluation of Intelligent Road Transport Systems: Methods and results (pp. 47-57). . The Institution of Engineering and Technology. [BibTeX]
Conference papers
- Banaee, H. , Klügl, F. , Novakazi, F. & Lowry, S. (2024). Intention Recognition and Communication for Human-Robot Collaboration. In: Ericson P., Khairova N., De Vos M., CEUR Workshop Proceedings. Paper presented at 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI-WS 2024, Malmo 10-11 June 2024. (pp. 101-108). CEUR-WS. [BibTeX]
- Lidander, L. , Novakazi, F. & Erhardsson, G. (2022). Building Blocks of Responsibility: A Conceptual Model Illustrating the Factors Influencing Perceived Responsibility Over the Driving Task when Interacting with Driving Automation Systems. In: AutomotiveUI '22 Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Paper presented at 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI), Seoul, South Korea, September 17-20, 2022. (pp. 137-140). New York: Association for Computing Machinery (ACM). [BibTeX]
- Novakazi, F. , Eriksson, A. & Bligård, L. O. (2022). Design for Perception: A Systematic Approach for the Design of Driving Automation Systems based on the Users' Perception. In: AutomotiveUI '22 Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Paper presented at 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI), Seoul, South Korea, September 17-20, 2022. (pp. 87-90). New York: Association for Computing Machinery (ACM). [BibTeX]
- Novakazi, F. (2019). Semi-Autonomous Drive and its Effect on Mode Awareness and User Experience. In: ECCE '19: Proceedings of the 31st European Conference on Cognitive Ergonomics. Paper presented at 31st European Conference on Cognitive Ergonomics: Design for Cognition (ECCE 2019), Ulster University, Belfast, North Ireland, September 10-13, 2019. (pp. 23-25). New York: Association for Computing Machinery (ACM). [BibTeX]
Manuscripts
- Kim, S. , Novakazi, F. , Shi, E. , Harms, I. & Oviedo-Trespalacios, O. A Taxonomic Odyssey : Reflections on the Evolution, Criticisms, and Future Directions of Driving Automation Taxonomies. [BibTeX]