Abstract
This study investigated the visual search ability and number of collisions of subjects in different age group when encountering dangerous situations in a traffic environment. A total of 32 subjects were recruited in this study, which included the 12 young group (18–25 years old) and 12 elderly group (65–75 years old) respectively. Subjects wore the eye tracker to drive inside the driving simulator. There were 5 possible real road risky driving scenarios designed for the experiment. The result demonstrated that elderly group had a longer fixation duration than young group, and more fixation counts as well. However, the result found that the elderly group had no significantly higher than young group in the number of collisions. The results of the study were expected to assist in understanding the visual search behavior of elderly group in the road risk situation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume VI |
| Subtitle of host publication | Transport Ergonomics and Human Factors TEHF, Aerospace Human Factors and Ergonomics |
| Editors | Yushi Fujita, Sebastiano Bagnara, Riccardo Tartaglia, Sara Albolino, Thomas Alexander |
| Publisher | Springer Verlag |
| Pages | 209-216 |
| Number of pages | 8 |
| ISBN (Print) | 9783319960739 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 20th Congress of the International Ergonomics Association, IEA 2018 - Florence, Italy Duration: 2018 Aug 26 → 2018 Aug 30 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 823 |
| ISSN (Print) | 2194-5357 |
Other
| Other | 20th Congress of the International Ergonomics Association, IEA 2018 |
|---|---|
| Country/Territory | Italy |
| City | Florence |
| Period | 18-08-26 → 18-08-30 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- General Computer Science
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