@inproceedings{5bf5501ec6ea431588182c584098b294,
title = "Malfunction of a traffic light assistant application on a smartphone",
abstract = "A traffic light assistant on a smartphone is assessed in real traffic, with an eye tracking system. In one experimental condition, the system showed (intentionally) false information to the drivers to simulate a malfunction. The glances for this condition showed similar gaze parameters, as a working system. The subjective ratings of the test subjects after this malfunction dropped significantly. The gathered gaze data are compared to three former studies (two in a driving simulator and another study in real road driving). Findings indicate, that a driving simulator is a safe and reliable alternative to get some of the glance data (e.g., glance durations to the smartphone) without driving in real traffic.",
keywords = "Driver distraction, Failure, Glance duration, IVIS, In-vehicle information system, Malfunction, Smartphone, Subjective rating",
author = "Michael Krause and Sebastian Weichelt and Klaus Bengler",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 33rd Annual European Conference on Cognitive Ergonomics 2015, ECCE 2015 ; Conference date: 01-07-2015 Through 03-07-2015",
year = "2015",
month = jul,
day = "1",
doi = "10.1145/2788412.2788443",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
editor = "{de Greef}, Tjerk",
booktitle = "ECCE 2015 - Understanding Design through Cognition",
}