Conference paper Open Access

Estimating the Driver’s Workload: Using Smartphone Data to Adapt In-vehicle Information Systems

Ohm, Christina

Research Question: How can the driver’s workload be estimated in order to
adapt information and entertainment systems?
Approach: Smartphone sensor data, situational factors and basic user characteristics
are collected. This data is tested whether it significantly influences
workload and can be used to estimate it.
Method: Workload is measured with a smartphone-based representation of
the NASA-TLX and the RSME during a user study with 20 participants on
different road types.
Results: Driving situation, gender and driving frequency significantly influence
workload. Using only this information and smartphone sensor data
the driver’s current workload can be estimated with 86% accuracy using a
decision tree.

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