5 research outputs found

    Integration of an adaptive infotainment system in a vehicle and validation in real driving scenarios

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    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.Postprint (published version

    Desenvolupament d'una aplicació Android per a un cotxe. Interfície gràfica

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    Projecte realitzat al departament de Human Machine Interface del Centre Tècnic de SEA

    Desenvolupament d'una aplicació Android per a un cotxe. Interfície gràfica

    No full text
    Projecte realitzat al departament de Human Machine Interface del Centre Tècnic de SEA

    Desenvolupament d'una aplicació Android per a un cotxe. Interfície gràfica

    No full text
    Projecte realitzat al departament de Human Machine Interface del Centre Tècnic de SEA

    Integration of an adaptive infotainment system in a vehicle and validation in real driving scenarios

    No full text
    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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