We implemented the AAM reference radio tuning procedure with some modifications for Android and tested it against a hardware radio on a tablet and on a smartphone. The used measurement methods involved an AAM track with driving metrics and eye tracking, a Lane Change Test (LCT) and occlusion testing. The metrics are reported and compared. The glance metrics seem to be potentially influenced by a carry-over effect from a training task toward longer glance durations. Nevertheless, the results are promising for further testing and validation experiments. Due to the easy setup, more uniform hardware (Android tablet) and a procedure without experimenter announcements, the open source application could be a valuable tool in experiments.
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We implemented the AAM reference radio tuning procedure with some modifications for Android and tested it against a hardware radio on a tablet and on a smartphone. The used measurement methods involved an AAM track with driving metrics and eye tracking, a Lane Change Test (LCT) and occlusion testing. The metrics are reported and compared. The glance metrics seem to be potentially influenced by a carry-over effect from a training task toward longer glance durations. Nevertheless, the results are...
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