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Related Concept Videos

Schemas01:42

Schemas

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Do automation and digitalization distract drivers? A systematic review.

Neelima C Vijay1, Amit Agarwal1, Kamini Gupta2

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Driver distraction from vehicle automation and digitalization causes more off-road glances. Eye-tracking studies show secondary tasks divert attention, increasing accident risk. Future research is needed globally.

Keywords:
AutomationDigitalizationDistractionDriversSafety

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Area of Science:

  • Human-Computer Interaction
  • Automotive Engineering
  • Cognitive Psychology

Background:

  • Vehicle automation and digitalization offer convenience and safety but introduce new driver distraction challenges.
  • Infotainment systems and spare attentional capacity during automation enable secondary tasks, potentially diverting focus from driving.
  • Driver distraction is a significant factor in road accidents, necessitating a deeper understanding of its causes and effects.

Purpose of the Study:

  • To systematically review eye-tracking literature on driver distraction caused by vehicle automation and digitalization.
  • To identify key factors contributing to visual distraction in modern vehicles.
  • To analyze the impact of secondary tasks on driver visual attention.

Main Methods:

  • Systematic literature search across five major databases (Google Scholar, PubMed, ScienceDirect, Scopus, Web of Science).
  • Initial identification of 4769 articles, with 65 selected for review after systematic screening.
  • Analysis of eye-tracking data to assess visual attention patterns during automated and digitalized driving.

Main Results:

  • A notable increase in research on driver distraction related to automation and digitalization in recent years.
  • Primary research contributions originate from the United States and China, with a need for broader global representation.
  • Studies confirm increased off-road glances and diversion of visual attention when drivers engage in secondary tasks.

Conclusions:

  • Automation and digitalization significantly alter driver visual attention patterns, often leading to distraction.
  • Factors such as HMI design, secondary task type, and input modality influence visual attention.
  • Feedback mechanisms show promise in mitigating visual distraction and improving road focus.