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Effects of Multi-Level Voice Interaction Complexity on Driving Safety: A Risk Threshold Study

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Citation Author(s):
wei xiao
Submitted by:
Wei Xiao
Last updated:
DOI:
10.21227/wxn1-7x54
Data Format:
xlxs
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Categories:
Keywords:
Road Safety
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Abstract

This dataset comprises comprehensive driving performance and eye movement metrics collected from 30 participants during voice interaction tasks. The complete dataset ("ALL Data") includes all recorded trials of voice interaction rounds with their corresponding:

  1. Driving performance parameters
  2. Eye movement measurements
  3. Task timing data

 

Instructions:

we provide a refined "Error-free Sample Data" subset that has been rigorously filtered to:

  • Exclude trials with voice recognition failures
  • Remove instances of system errors
  • Eliminate cases with participant non-compliance

The dataset structure enables researchers to:

  • Compare raw versus clean data effects
  • Analyze error impacts on driving metrics
  • Examine eye movement patterns during successful interactions

All data points are time-synchronized and annotated with:

  • Task phase markers
  • Event timestamps
  • Quality control flags

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