@incollection{YayMart{\´i}nez Madrid2016,
  author    = {Yay, Emre and Mart{\´i}nez Madrid, Natividad},
  title     = {Stress-aware generation of recommendations in a driving system to increase user acceptance},
  booktitle = {Mobile networks for biometric data analysis. - (Lecture notes in electrical engineering ; 392)},
  editor    = {Conti, Massimo and Mart{\´i}nez Madrid, Natividad},
  isbn      = {978-3-319-39700-9},
  doi       = {10.1007/978-3-319-39700-9_10},
  institution = {Informatik},
  pages     = {123 -- 133},
  year      = {2016},
  abstract  = {Besides the optimisation of the car, energy-efficiency and safety can also be increased by optimising the driving behaviour. Based on this fact, a driving system is in development whose goal is to educate the driver in energy efficient and safe driving. It monitors the driver, the car and the environment and gives energy-efficiency and safety relevant recommendations. However, the driving system tries not to distract or bother the driver by giving recommendations for example during stressful driving situations or when the driver is not interested in that recommendation. Therefore, the driving system monitors the stress level of the driver as well as the reaction of the driver to a given recommendation and decideswhether to give a recommendation or not. This allows to suppress recommendations when needed and, thus, to increase the road safety and the user acceptance of the driving system.},
  language  = {en}
}