Fjollë Novakazi
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.
Visar 20 publikationer
Perception’s Role for Mental Model Formation in Automated Driving: Insights From Four Studies
Field operational tests (FOTs) – (still) the ultimate answer to impact assessment?
Drivers’ Performance in Non-critical Take-Overs From an Automated Driving System—An On-Road Study
Stakeholder-Centred Taxonomy Design for Automated Vehicles
Action-Meaning Networks - A Novel Methodology to Identify Unsafe Use of Driving Automation
The decline of user experience in transition from automated driving to manual driving
Levels of what? Investigating drivers' understanding of different levels of automation in vehicles
To Drive or Not to Drive – When Users Prefer to Use Automated Driving Functions
Semi-autonomous drive and its effect on mode awareness and user experience
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