We performed a driving simulator study to investigate merging decisions with respect to an interaction partner in time-critical situations. The experimental paradigm was a two-alternative forced choice, where the subjects could choose to merge before human vehicles or highly automated vehicles (HAV). Under time pressure, subjects showed a significantly higher gap acceptance during merging situations when interacting with HAV. This confirmed our original hypothesis that when interacting with HAV, drivers would exploit the HAV's technological advantages and defensive programming in time-critical situations.
A study of fluid dynamics and human physiology factors driving droplet dispersion from a human sneeze
- Award ID(s):
- 2031227
- Publication Date:
- NSF-PAR ID:
- 10201468
- Journal Name:
- Physics of Fluids
- Volume:
- 32
- Issue:
- 11
- Page Range or eLocation-ID:
- Article No. 111904
- ISSN:
- 1070-6631
- Publisher:
- American Institute of Physics
- Sponsoring Org:
- National Science Foundation
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