Interviews

Dive right into the 31 public deliverables of the i-DREAMS project by following up on this interview series. Our researchers shed their light on the relevance and added value of a specific deliverable.


Deliverable 2.1 reviewed and assessed state-of-the art approaches and methods to monitor the driver’s mental state and contextual factors of the driving environment that impact task demand. In addition, a selection of driver trait factors (including measurement methods) were summarized and driver behaviour indicators were reviewed.

Learn all about deliverable 2.1 by reading the interview with Susanne Kaiser from project partner KFV.


“The diagnostic power of an intervention system that is dynamic and that is based on the driver’s state and environment information, is what makes i-DREAMS unique”.

Susanne Kaiser – KFV

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Deliverable 2.2 aims at reviewing vehicle technologies and applications for safety interventions associated with risk prevention and mitigation. This report provides technologies for safety interventions and selects the criteria of the most appropriate techniques and challenges. Furthermore, the assessment of their effectiveness, reliability an acceptance is also discussed, taking into account cross-modal considerations and differences between professional and non-professional drivers.

Learn all about deliverable 2.2 by reading the interview with Christos Katrakazas from project partner NTUA.

“So, the biggest challenge for us is to find a balance between maximizing effectiveness, and keeping acceptance, usability and driver satisfaction at high levels during and after the trip.”

Christos Katrakazas – NTUA

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Deliverable 3.1 contains a framework for operational design of experimental work in i-DREAMS. Learn all about it by reading this interview. Learn all about it by reading this interview with author Rachel Talbot from project partner Loughborough University.


“It is unlikely that a ‘one size fits all’ approach will be appropriate when designing the i-DREAMS platform. We will have to optimize for each transport mode considered”.

Rachel Talbot – Loughborough University

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Deliverable 3.2 focuses on the toolbox of recommended data collection tools and monitoring methods and a conceptual definition of the Safety Tolerance Zone. Learn all about it by reading this interview with Christos Katrakazas and Eva Michelaraki from project partner National Technical University of Athens (NTUA).

“There is no universal concept or standard definition of driver state. However, it is perceived as the current condition that can change continuously. When we talk about driver state, one can consider safety relevant cognitive aspects (like attention, fatigue, workload) and emotional aspects (such as arousal and stress), while complex interactions occur between those two categories.”

Eva Michelaraki – National Technical University of Athens

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