Dynamic scan paths investigations under manual and highly automated driving

Jordan Navarro, Otto Lappi, Francois Osiurak, Emma Hernout, Catherine Gabaude, Emanuelle Reynaud

Research output: Contribution to journalArticleScientificpeer-review


Active visual scanning of the scene is a key task-element in all forms of human locomotion. In the field of driving, steering (lateral control) and speed adjustments (longitudinal control) models are largely based on drivers’ visual inputs. Despite knowledge gained on gaze behaviour behind the wheel, our understanding of the sequential aspects of the gaze strategies that actively sample that input remains restricted. Here, we apply scan path analysis to investigate sequences of visual scanning in manual and highly automated simulated driving. Five stereotypical visual sequences were identified under manual driving: forward polling (i.e. far road explorations), guidance, backwards polling (i.e. near road explorations), scenery and speed monitoring scan paths. Previously undocumented backwards polling scan paths were the most frequent. Under highly automated driving backwards polling scan paths relative frequency decreased, guidance scan paths relative frequency increased, and automation supervision specific scan paths appeared. The results shed new light on the gaze patterns engaged while driving. Methodological and empirical questions for future studies are discussed.
Original languageEnglish
Article number3776
JournalScientific Reports
Issue number1
Number of pages17
Publication statusPublished - 12 Feb 2021
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 6162 Cognitive science

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