z-logo
open-access-imgOpen Access
Estimating the Driver’s Workload: Using Smartphone Data to Adapt In-vehicle Information Systems
Author(s) -
Ohm, Christina
Publication year - 2015
Language(s) - English
DOI - 10.5281/zenodo.17952
Subject(s) - driver’s workload , workload estimation , in vehicle information systems
Research Question: How can the driver’s workload be estimated in order toadapt information and entertainment systems?Approach: Smartphone sensor data, situational factors and basic user characteristicsare collected. This data is tested whether it significantly influencesworkload and can be used to estimate it.Method: Workload is measured with a smartphone-based representation ofthe NASA-TLX and the RSME during a user study with 20 participants ondifferent road types.Results: Driving situation, gender and driving frequency significantly influenceworkload. Using only this information and smartphone sensor datathe driver’s current workload can be estimated with 86% accuracy using adecision tree

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom