Abstract submission is now closed!

Accepted extended abstracts will be published in a digital version of the DDI2024 Proceedings on the conference website, on condition that the presenting author is registered for the conference and paid the registration fee.

Authors of abstracts indicate when they submit whether they:

  • Give an oral presentation only
  • Give an oral presentation and want to be considered for invitation for a full paper submission to the high impact factor scientific journal Transportation Research Part F: Traffic Psychology and Behaviour
  • Contribute with a poster only
  • Contribute with a poster and want to be considered for invitation for a full paper submission to the high impact factor scientific journal Transportation Research Part F: Traffic Psychology and Behaviour

Abstract instructions

  • Please follow the DDI2024 abstract template provided below.
  • Abstracts must be written in English.
  • Length of the abstract should be min 1000 and maximum 1500 words, excluding references, tables and similar.
  • Use A4 page set-up and make all margins (top, bottom, left, right) 25 mm wide.
  • Please follow the DDI2024 abstract template provided above. All requirements for the abstract are stated in the template.
  • The abstract should give aim and scope of your study, materials and methods used, the results obtained and main conclusions reached. Abstracts with results will be priorities, but high quality and novel abstract content with preliminary results or a clear plan for producing result will also be considered.
  • It is the author’s responsibility to submit a correct abstract; any errors in spelling, grammar, or scientific fact will be reproduced as typed by the author, if accepted.
  • Abstract written in incorrect formats will be rejected.

Upon submission, indicate one of the following topics that best describes the content of the abstract:


Defining distraction and inattention

Distraction and inattention for vulnerable road users, including new forms of mobility, e.g. micromobility

Behavior changes induced by the introduction of automation technologies

Mechanisms of distraction and inattention

Assessment of distraction and inattention

Models of distraction and inattention

Various sources of distraction (advertising, wearable devices, etc.)

Distraction in the context of automation

Factors that give rise to inattention and distraction

Driver engagement with technology as an addiction

The disconnected driver

Driver characteristics and individual differences

Theoretical aspects of driver monitoring


Effects on driving performance

Effects on driver behaviour and information processing

Effects on crash and near‐miss occurrences.

Impact on crash and injury risk

Factors mediating impact (e.g., age, experience and gender)

Measurement of distraction and inattention

Measurement of public perceptions about distraction and inattention

The impact of trust, overreliance and expectation on driver distraction and inattention

Methods for safety impact assessment, e.g:

  • Test track and driving simulator experiments
  • Virtual and augmented reality
  • Virtual simulations using computational driver models
  • The validity of safety impact assessment metrics


Investigations into countermeasures‘ efficacy

Challenges associated with data collection and analyses

Legislation and enforcement

Company and transport policies

Road and infrastructure design

Vehicle and human-vehicle interface design

Design of technologies that prevent or mitigate the impact of driver distraction and inattention on safety

Driver monitoring as a facilitator of countermeasures

Real‐time distraction prevention and mitigation systems


Education, training and driver licensing

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