Integration of an Adaptive Infotainment System in a Vehicle and Validation in Real Driving Scenarios
Author(s) -
Miguel Angel Galarza,
Teresa Bayona,
Josep Paradells
Publication year - 2017
Publication title -
international journal of vehicular technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.182
H-Index - 18
eISSN - 1687-5710
pISSN - 1687-5702
DOI - 10.1155/2017/4531780
Subject(s) - driving simulator , usability , interface (matter) , set (abstract data type) , computer science , simulation , advanced driver assistance systems , transport engineering , engineering , human–computer interaction , artificial intelligence , bubble , maximum bubble pressure method , parallel computing , programming language
More services, functionalities, and interfaces are increasingly being incorporated into current vehicles and may overload the driver capacity to perform primary driving tasks adequately. For this reason, a strategy for easing driver interaction with the infotainment system must be defined, and a good balance between road safety and driver experience must also be achieved. An adaptive Human Machine Interface (HMI) that manages the presentation of information and restricts drivers’ interaction in accordance with the driving complexity was designed and evaluated. For this purpose, the driving complexity value employed as a reference was computed by a predictive model, and the adaptive interface was designed following a set of proposed HMI principles. The system was validated performing acceptance and usability tests in real driving scenarios. Results showed the system performs well in real driving scenarios. Also, positive feedbacks were received from participants endorsing the benefits of integrating this kind of system as regards driving experience and road safety.
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