%0 Book Section %1 MoniriFeld17c9 %A Moniri, Mohammad Mehdi %A Feld, Michael %B Automotive User Interfaces %C Cham %D 2017 %E Meixner, Gerrit %E Müller, Christian %I Springer %K 01801 springer paper dfki ai multimodal automotive user interface assist interaction image analysis zzz.mmi %P 249--272 %R 10.1007/978-3-319-49448-7_9 %T Eye and Head Tracking for Focus of Attention Control in the Cockpit %X The driver's focus of attention is a key factor to be considered for building novel, intuitive user interaction concepts, and enhancing the current infotainment and safety applications in the vehicle. In this chapter we present several topics related to the development of application and systems that incorporate the user’s visual focus of attention. In the presented real-life experiments, 3D representations of both the vehicle’s interior and the outside environment are used. A real-time evaluation concerning the object in the driver’s visual focus in these environments is also performed. We describe the functionality and the accuracy of the presented systems, which is integrated in a fully functional vehicle in an actual traffic setting. In addition, several analyses concerning accuracy of the off-the-shelf eye trackers regarding peripheral vision or direct interaction with urban objects are presented. %& 9 %@ 978-3-319-49447-0

@incollection{MoniriFeld17c9, abstract = {The driver's focus of attention is a key factor to be considered for building novel, intuitive user interaction concepts, and enhancing the current infotainment and safety applications in the vehicle. In this chapter we present several topics related to the development of application and systems that incorporate the user’s visual focus of attention. In the presented real-life experiments, 3D representations of both the vehicle’s interior and the outside environment are used. A real-time evaluation concerning the object in the driver’s visual focus in these environments is also performed. We describe the functionality and the accuracy of the presented systems, which is integrated in a fully functional vehicle in an actual traffic setting. In addition, several analyses concerning accuracy of the off-the-shelf eye trackers regarding peripheral vision or direct interaction with urban objects are presented.}, added-at = {2018-03-09T16:28:14.000+0100}, address = {Cham}, author = {Moniri, Mohammad Mehdi and Feld, Michael}, biburl = {https://www.bibsonomy.org/bibtex/2cef5cf21ff7d98a88890a28952a9bbf9/flint63}, booktitle = {Automotive User Interfaces}, chapter = 9, doi = {10.1007/978-3-319-49448-7_9}, editor = {Meixner, Gerrit and M{\"u}ller, Christian}, file = {SpringerLink:2017/MoniriFeld17c9.pdf:PDF}, groups = {public}, interhash = {5a7e6897ad916e7d36ba7ecbaf3af0e1}, intrahash = {cef5cf21ff7d98a88890a28952a9bbf9}, isbn = {978-3-319-49447-0}, issn = {1571-5035}, keywords = {01801 springer paper dfki ai multimodal automotive user interface assist interaction image analysis zzz.mmi}, pages = {249--272}, publisher = {Springer}, series = {Human-Computer Interaction Series}, timestamp = {2018-04-16T12:07:00.000+0200}, title = {Eye and Head Tracking for Focus of Attention Control in the Cockpit}, username = {flint63}, year = 2017 }