TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Borchers, Svenja
A1  - Martin, Denis
A1  - Mieskes, Sarah
A1  - Rieger, Stefan
A1  - Curio, Cristóbal
A1  - Fäßler, Victor
ED  - Makris, Nikos
T1  - Towards audio-based distraction estimation in the car
T2  - Cognitive 2015, The Seventh International Conference on Advanced Cognitive Technologies and Applications ; Holides 2015, The First Workshop on Holistic Human Factors for Adaptive Cooperative Human-Machine Systems ; March 22 - 27, 2015, Nice, France
N2  - Distraction of the driver is one of the most frequent causes for car accidents. We aim for a computational cognitive model predicting the driver’s degree of distraction during driving while performing a secondary task, such as talking with co-passengers. The secondary task might cognitively involve the driver to differing degrees depending on the topic of the conversation or the number of co-passengers. In order to detect these subtle differences in everyday driving situations, we aim to analyse in-car audio signals and combine this information with head pose and face tracking information. In the first step, we will assess driving, video and audio parameters reliably predicting cognitive distraction of the driver. These parameters will be used to train the cognitive model in estimating the degree of the driver’s distraction. In the second step, we will train and test the cognitive model during conversations of the driver with co-passengers during active driving. This paper describes the work in progress of our first experiment with preliminary results concerning driving parameters corresponding to the driver’s degree of distraction. In addition, the technical implementation of our experiment combining driving, video and audio data and first methodological results concerning the auditory analysis will be presented. The overall aim for the application of the cognitive distraction model is the development of a mobile user profile computing the individual distraction degree and being applicable also to other systems.
KW  - distraction
KW  - auditory
KW  - automotive
KW  - driver
KW  - cognitive model
Y1  - 2015
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-7926
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-7926
UR  - https://www.thinkmind.org/index.php?view=article&articleid=cognitive_2015_10_10_95003
SN  - 978-1-61208-390-2
SB  - 978-1-61208-390-2
SP  - 187
EP  - 190
S1  - 4
ER  -