Abstract
In this study, we investigated the effects of
context-sensitive distraction warnings on drivers? in-car
glance behaviors and acceptance. The studied prototype
warning application functions on a smart phone. The
novelty of the application is its proactive and
context-sensitive approach to the adjustment of warning
thresholds according to the estimated visual demands of
the driving situation ahead. In our study, novice and
experienced drivers conducted in-car tasks with a smart
phone on a test track with and without the warnings. The
application gave a warning if the driver?s gaze was
recognized to remain on the smart phone over a
situation-specific threshold time, or if the driver was
approaching a high-demand part of the track (an
intersection or a tight curve). Glance metrics indicated
a significant increasing effect of the warnings on glance
time on road while multitasking. The effect varied
between 5% and 30% increase depending on the in-car task.
A text message reading task was the most visually
demanding activity and indicated the greatest effect of
the warnings on glance time on road. Driving experience
did not have an effect on the efficiency of the warnings.
The proposed gaze tracking with current smart phone
technology proved to be highly unreliable in varying
lighting conditions. However, the findings suggest that
location-based proactive distraction warnings of
high-demanding driving situations ahead could help all
drivers in overcoming the inability to evaluate
situational demands while interacting with complex in-car
tasks and to place more attention on the road.
Furthermore, survey results indicate that it is possible
to achieve high levels of trust, perceived usefulness,
and acceptance with these kinds of context-sensitive
distraction warnings for drivers.
Original language | English |
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Pages (from-to) | 39-52 |
Journal | International Journal of Human-Computer Studies |
Volume | 90 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- driver distraction
- smart phone
- warning system
- situation awareness
- acceptance
- trust