The conference research topics include theory, measurement, effects, crash risks, and prevention/mitigation related to distraction and inattention in the traffic system. Driver distraction is our main focus, but we also welcome research about other road users, such as pedestrians, bicyclists and users of new modes of transports like electric scooters. More practical aspects of distraction and inattention, including education, road design, legislation and stakeholder coordination are also in the scope of the conference.

The overall theme for DDI2022 is “Safety assessment of human interactions with vehicles and automotive technologies in the context of driver distraction and inattention”.

This theme targets research on how to assess the safety impact of driver distraction and inattention. For example, how can human-machine interface designs be quantitatively assessed with respect to safety? What are the differences and requirements of such assessment in development, compliance assessment and consumer rating? How can the safety of disconnected drivers be assessed? How can driver monitoring be used as a facilitator of safety assessment of driver distraction and inattention? How can experiments, simulations, and models of behaviors be used to assess the safety of driver distraction and inattention – individually or in combination? How can the combination of behaviors and automation technologies be assessed in combination? Which are the most appropriate safety assessment metrics? We encourage theme-related research both on methods for safety assessment and results of such assessment. There will be key-note speakers related to the theme. Although we specifically promote these topics for this year’s conference, any high-quality contribution within the conference general scope is most welcome.

Below please find examples of topics that fit in the conference:

THEORY

• Defining distraction and inattention
• Distraction and inattention due to 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 forms 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

IMPACT

• 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 (can be combined with the one below)
• 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

COUNTERMEASURES

• 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 design on safety
• Driver monitoring as a facilitator of countermeasures
• Real‐time distraction prevention and mitigation systems
• Promotion/Advertising
• Education, training and driver licensing