Fjollë Novakazi

Visiting Teacher at Timavlönade GRU IMS

Fjollë Novakazi earned her PhD in Human-Technology-Design in December 2023, completing her research as an industrial candidate at Volvo Cars in collaboration with 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 understanding and proposing human-centric design solutions to address the identified challenges.

In March 2024, she joined the Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University as a postdoctoral researcher. Her research examines the interplay between people and technology from a Human Factors perspective, with a particular focus on the cognitive aspects of interactions with automation and robotics. She investigates how human perception shapes these complex interactions, with application areas including mixed-traffic environments and collaborative robotics in manufacturing settings.

Fjollë 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 work.

Source: chalmers.se
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Showing 16 publications

2023

Drivers’ Performance in Non-critical Take-Overs From an Automated Driving System—An On-Road Study

Annie Rydström, Mattias Mullaart, Fjolle Novakazi et al
Human Factors. Vol. 65 (8), p. 1841-1857
Journal article
2023

Drivers' usage of driving automation systems in different contexts: A survey in China, Germany, Spain and the US.

Marianne Karlsson, Fjolle Novakazi
IET Intelligent Transport Systems. Vol. 17, p. 1-16
Journal article
2023

Stakeholder-Centred Taxonomy Design for Automated Vehicles

Soyeon Kim, Elisabeth Shi, Fjolle Novakazi et al
ACM International Conference Proceeding Series, p. 249-251
Paper in proceeding
2023

Action-Meaning Networks - A Novel Methodology to Identify Unsafe Use of Driving Automation

Mikael Johansson, Fjolle Novakazi
HUMANIST Conference. Vol. 8, p. 28-34
Paper in proceeding
2022

Design for Perception - A Systematic Approach for the Design of Driving Automation Systems based on the Users' Perception

Fjolle Novakazi, Alexander Eriksson, Lars-Ola Bligård
Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022, p. 87-90
Paper in proceeding
2022

Building Blocks of Responsibility - A Conceptual Model Illustrating the Factors Influencing Perceived Responsibility Over the Driving Task when Interacting with Driving Automation Systems

Linnéa Lidander, Fjolle Novakazi, Gustav Erhardsson
Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022, p. 137-140
Paper in proceeding
2021

The decline of user experience in transition from automated driving to manual driving

Mikael Johansson, Mattias Mullaart Söderholm, Fjolle Novakazi et al
Information (Switzerland). Vol. 12 (3)
Journal article
2021

Levels of what? Investigating drivers' understanding of different levels of automation in vehicles

Fjolle Novakazi, Mikael Johansson, Helena Strömberg et al
Journal of Cognitive Engineering and Decision Making. Vol. 15 (2-3), p. 116-132
Journal article
2021

Who's in charge?: The influence of perceived control on responsibility and mode awareness in driving automation

Fjolle Novakazi, Mikael Johansson, Gustav Erhardsson et al
IT - Information Technology. Vol. 63 (2), p. 77-85
Journal article
2020

Stepping over the Threshold - Linking Understanding and Usage of Automated Driver Assistance Systems (ADAS)

Fjolle Novakazi, Julia Orlovska, Lars-Ola Bligård et al
Transportation Research Interdisciplinary Perspectives. Vol. 8
Journal article
2020

Effects of the driving context on the usage of Automated Driver Assistance Systems (ADAS) -Naturalistic Driving Study for ADAS evaluation

Julia Orlovska, Fjolle Novakazi, Lars-Ola Bligård et al
Transportation Research Interdisciplinary Perspectives. Vol. 4
Journal article
2019

Semi-autonomous drive and its effect on mode awareness and user experience

Fjolle Novakazi
ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition'', p. 23-25
Paper in proceeding
2019

Mixed-method design for user behavior evaluation of automated driver assistance systems: An automotive industry case

Julia Orlovska, Fjolle Novakazi, Casper Wickman et al
Proceedings of the International Conference on Engineering Design, ICED. Vol. 2019-August, p. 1803-1812
Paper in proceeding

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Showing 1 research projects

2017–2021

Semi-autonomous driving and its effect on mode-awareness and user experience

Casper Wickman Product Development
MariAnne Karlsson Design and Human Factors
Fjolle Novakazi Design and Human Factors
Rikard Söderberg Industrial and Materials Science
Lars-Ola Bligård Design and Human Factors
VINNOVA

7 publications exist
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