ETRI Journal

  • 제37권4호
  • /
  • Pages.793-803
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  • 2015
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  • 1225-6463(pISSN)
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  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Multimodal Interface Based on Novel HMI UI/UX for In-Vehicle Infotainment System

  • Kim, Jinwoo (IT Convergence Technology Research Laboratory, ETRI) ;
  • Ryu, Jae Hong (IT Convergence Technology Research Laboratory, ETRI) ;
  • Han, Tae Man (IT Convergence Technology Research Laboratory, ETRI)
  • 투고 : 2014.08.10
  • 심사 : 2015.05.14
  • 발행 : 2015.08.01
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초록

We propose a novel HMI UI/UX for an in-vehicle infotainment system. Our proposed HMI UI comprises multimodal interfaces that allow a driver to safely and intuitively manipulate an infotainment system while driving. Our analysis of a touchscreen interface-based HMI UI/UX reveals that a driver's use of such an interface while driving can cause the driver to be seriously distracted. Our proposed HMI UI/UX is a novel manipulation mechanism for a vehicle infotainment service. It consists of several interfaces that incorporate a variety of modalities, such as speech recognition, a manipulating device, and hand gesture recognition. In addition, we provide an HMI UI framework designed to be manipulated using a simple method based on four directions and one selection motion. Extensive quantitative and qualitative in-vehicle experiments demonstrate that the proposed HMI UI/UX is an efficient mechanism through which to manipulate an infotainment system while driving.

키워드

참고문헌

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피인용 문헌

  1. Effects of Augmented-Reality Head-up Display System Use on Risk Perception and Psychological Changes of Drivers vol.38, pp.4, 2015, https://doi.org/10.4218/etrij.16.0115.0770
  2. A real-time gesture recognition system using near-infrared imagery vol.14, pp.10, 2019, https://doi.org/10.1371/journal.pone.0223320
  3. OpenCL-Darknet: implementation and optimization of OpenCL-based deep learning object detection framework vol.24, pp.4, 2021, https://doi.org/10.1007/s11280-020-00778-y
  4. Effect of Touch Button Interface on In-Vehicle Information Systems Usability vol.37, pp.15, 2021, https://doi.org/10.1080/10447318.2021.1886484
  5. Analysis of Relationship between Electroencephalograms and Subjective Measurements for In-Vehicle Information System: A Preliminary Study vol.18, pp.22, 2015, https://doi.org/10.3390/ijerph182212173