Hierarchical Task Analysis for Driving under Divided Attention

Xiaonan Yang, Jung Hyup Kim, Roland Nazareth

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

Although researchers have made various models of driving behavior, the behavior model under divided attention is not well studied. In this paper, the driver’s behavior differences under divided-attention were studied in a simulated driving environment. A driving scenario was developed to simulate hazards on the highway in dynamic driving conditions. Based on crash and non-crash cases through eye tracking videos from the experiment, Hierarchical task analysis (HTA) was conducted, and decomposed different complex driving behaviors into drivers’ perception, cognition, and decision. Also, their reaction times were compared by using the cognitive-perceptual model in GOMS. Through this study, different driving behaviors and corresponding cognitive factors, which contributed to a slower reaction were identified. The results from this study could be as a valuable input to develop advanced driver assistance systems which could provide smart collision warnings based on the driver's attention.

Original languageEnglish
Pages (from-to)1744-1748
Number of pages5
JournalProceedings of the Human Factors and Ergonomics Society
Volume63
Issue number1
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event63rd International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2019 - Seattle, United States
Duration: 28 Oct 20191 Nov 2019

Keywords

  • divided attention
  • driving behavior
  • hierarchical task analysis

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