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Main Facts

  • Eye tracking data
  • Behavioural adaptations
  • Systems’ actual and perceived usefulness
  • Effects of warning strategies

Behavioural Evaluation

XCYCLE will follow an iterative process in analysing the interaction between the technical evaluation and the behavioural evaluation. The technical evaluation will include the development of sensors, detection systems, threat assessment and control algorithms. The behavioural evaluation will include the analysis of user behaviour on intersections and the effects of warning strategies on users; different methodologies will be used such as observations, interviews and eye movement tracking.

Eye tracking data can provide information about how road users interact visually with interfaces and other road users. It can bring an added value to the research by providing insights that are especially related to user’s visual attention, to gain access to several types of distraction, and it can also be a source of physiological measures of the cognitive load. In usability testing, eye tracking can tell us where the user was looking at when making a decision, how he/she perceives things in the traffic environment, and how he/she understands and reacts to these.

behavioural evalutation
XCYCLE Technical and Behavioural evaluation

XCYCLE investigates behavioural adaptation strategies of road users. Behavioural adaptations are those behaviours which may occur following the introduction of changes to the road-vehicle-user system and which were not intended by the initiators of the change. They create a continuum of effects ranging from a positive increase in safety to a decrease in safety.

The novel concepts and approaches of XCYCLE are devoted to:

  • Increase the reliability of detection systems in terms of reduced misdetections, thus increasing the decisional efficiency of the entire system;
  • Set challenging objectives to design affordable devices that can be widespread in the market;
  • Pay great attention to actual and perceived usefulness of these devices by reducing the numerous false positive warnings;
  • Increase cyclists’ comfort by providing the potential for using real-time information to improve their safety sharing the roadway, also considering friendly traffic signals;
  • Enable the use of a cost-effective sensor units and an effective integration of heterogeneous technologies by using novel sensor fusion approaches;
  • Provide environmental- and user-friendly devices for both vehicle drivers and cyclists.