Measuring Driver Perception : Combining Eye-Tracking and Automated Road Scene Perception
OBJECTIVE: To investigate how well gaze behavior can indicate driver awareness of individual road users when related to the vehicle's road scene perception.
BACKGROUND: An appropriate method is required to identify how driver gaze reveals awareness of other road users.
METHOD: We developed a recognition-based method for labeling of driver situation awareness (SA) in a vehicle with road-scene perception and eye tracking. Thirteen drivers performed 91 left turns on complex urban intersections and identified images of encountered road users among distractor images.
RESULTS: Drivers fixated within 2° for 72.8% of relevant and 27.8% of irrelevant road users and were able to recognize 36.1% of the relevant and 19.4% of irrelevant road users one min after leaving the intersection. Gaze behavior could predict road user relevance but not the outcome of the recognition task. Unexpectedly, 18% of road users observed beyond 10° were recognized.
CONCLUSIONS: Despite suboptimal psychometric properties leading to low recognition rates, our recognition task could identify awareness of individual road users during left turn maneuvers. Perception occurred at gaze angles well beyond 2°, which means that fixation locations are insufficient for awareness monitoring.
APPLICATION: Findings can be used in driver attention and awareness modelling, and design of gaze-based driver support systems.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:64 |
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| Enthalten in: |
Human factors - 64(2022), 4 vom: 29. Juni, Seite 714-731 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Stapel, Jork [VerfasserIn] |
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| Links: |
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| Themen: |
ADAS |
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| Anmerkungen: |
Date Completed 27.05.2022 Date Revised 16.07.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1177/0018720820959958 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM315639598 |
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| 500 | |a Date Completed 27.05.2022 | ||
| 500 | |a Date Revised 16.07.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a OBJECTIVE: To investigate how well gaze behavior can indicate driver awareness of individual road users when related to the vehicle's road scene perception | ||
| 520 | |a BACKGROUND: An appropriate method is required to identify how driver gaze reveals awareness of other road users | ||
| 520 | |a METHOD: We developed a recognition-based method for labeling of driver situation awareness (SA) in a vehicle with road-scene perception and eye tracking. Thirteen drivers performed 91 left turns on complex urban intersections and identified images of encountered road users among distractor images | ||
| 520 | |a RESULTS: Drivers fixated within 2° for 72.8% of relevant and 27.8% of irrelevant road users and were able to recognize 36.1% of the relevant and 19.4% of irrelevant road users one min after leaving the intersection. Gaze behavior could predict road user relevance but not the outcome of the recognition task. Unexpectedly, 18% of road users observed beyond 10° were recognized | ||
| 520 | |a CONCLUSIONS: Despite suboptimal psychometric properties leading to low recognition rates, our recognition task could identify awareness of individual road users during left turn maneuvers. Perception occurred at gaze angles well beyond 2°, which means that fixation locations are insufficient for awareness monitoring | ||
| 520 | |a APPLICATION: Findings can be used in driver attention and awareness modelling, and design of gaze-based driver support systems | ||
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