Design Research Of Speech Based In-vehicle Infotainment System Based On Intelligent Mobile Terminal

Driving distractions badly influence transportation safety. The more and more in-vehicleinformation and entertainment devices are the primary sources of the distractions. From ahuman-factors point of view, those devices fail to fully consider the potential distractingfactors and elements that can cause high cognitive load in the human-car-environment context.As a new approach of human-computer interaction, speech recognition is an importantorientation for optimizing the interaction between human and in-vehicle infotainment system(IVIS), and the technology has already been mature enough to be used in the real worldsituations. At present, only few cars have speech recognition installed in the IVIS. And on theother hand, there are many speech-recognition Apps available for the mobile devices, butthose Apps fail to take driving context into consideration of their interaction design. Based onthis background, this paper introduces a concept of speech-based interactive system thatintegrates mobile devices like smartphone into the IVIS, and conducts an experiment studyabout this new approach of interaction.At first, this paper tries to learn the user needs and related behavior patterns through userresearch, and according to which, an interaction framework is introduced. The design takeadvantage of Bluetooth technology to rearrange the input and output parts of the speechrecognition application and set the integrated module on the steering wheel. The phone itselfis used as a projector to display HUD interface. In this research we prototyped the designbased on Siri, a speech recognition application of APPLE Inc., and conducted a user testbased on the prototype and a driving simulator. This design integrates the mobile device intothe driving environment organically, and significantly decreases the consumption of body,visual and cognitive resources caused by using IVIS.Besides the user test, this research adopted human factors research method to conduct anexperiment with the driving simulator. We use the peripheral detection task (PDT) method toquantitatively measure the distraction caused by the secondary task of IVIS. And through theexperiment we compared the effect of different interaction mode. The result shows that theinteraction design combining HUD and Bluetooth connected Siri can substantially decreasethe driving distraction of using IVIS functionalities and also realize better user experience.