Communication and interaction strategies in automotive adaptive interfaces

  • Authors:
  • Angelos Amditis;Aris Polychronopoulos;Luisa Andreone;Evangelos Bekiaris

  • Affiliations:
  • Institute of Communications and Computer Systems, Athens, Greece;Institute of Communications and Computer Systems, Athens, Greece;FIAT Research Centre, Orbassano (TO), Italy;Hellenic Institute of Transport, Thessalonica, Greece

  • Venue:
  • Cognition, Technology and Work
  • Year:
  • 2006

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Abstract

Nowadays, drivers have to cope with a growing amount of information coming from on-board information messages, telematics and advanced driver assistance systems. The interaction between the driver and these systems is critical, since they may distract the driver from the primary task of driving. The paper, addressing this problem, aims at presenting the methodological framework for the optimization of human machine interfaces (HMI) in the automotive research area; thus, the proper communication and interaction strategies are designed, in order to deliver to the driver a message or a warning in the optimal way in terms of driver safety. The proposed methodology is adopted in the COMUNICAR project and relevant results are presented. Last but not the least, the AIDE integrated project and its vision is also proposed as the roadmap for future activities in the HMI sector.