Feasibility analysis of the usage of head-up display devices and speech recognition in real vehicular environments

Abstract In recent years, the number of on-board devices that provide information about the vehicle, the driving process and the environment has increased. Nevertheless, these devices can be very distracting. Head-up display devices (HUDs) and speech recognition may be good technologies to enrich the experience of drivers while keeping safety under control. Thus, the purpose of this study is to carry out an evaluation of these technologies under real conditions. A total of 50 drivers participated in a study divided into two parts. In the first part, we performed an evaluation of the usage of driving assistants with HUD devices under real conditions. We also compared HUDs with conventional head-down display (HDD) screens. Finally, we asked users about their opinion on methods of interaction with HUDs. Considering the results, the second part of the study aimed at evaluating interaction with HUD devices using speech recognition. 65% of the drivers prefer to use HUDs instead of HDDs for safety reasons. Furthermore, the participants prefer to interact with HUDs using voice commands. 86.66% of the users stated that this method of interaction improved their feeling of safety. The main conclusion is that users agree that driving assistants combined with HUDs are useful and safe at the same time. Moreover, the interaction with HUDs through voice commands is accepted by the majority of the users; it improves their sensation of safety because they do not need to look away from the road to use driving assistants.

[1]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[2]  Timothy L. Brown,et al.  Speech-Based Interaction with In-Vehicle Computers: The Effect of Speech-Based E-Mail on Drivers' Attention to the Roadway , 2001, Hum. Factors.

[3]  D. Schrank,et al.  2015 Urban Mobility Scorecard , 2015 .

[4]  Sol Hee Yoon,et al.  Perceived Visual Complexity and Visual Search Performance of Automotive Instrument Cluster: A Quantitative Measurement Study , 2015, Int. J. Hum. Comput. Interact..

[5]  Vassilis Charissis.  Enhancing human responses through augmented reality Head-Up Display in vehicular environment , 2014, 2014 11th International Conference & Expo on Emerging Technologies for a Smarter World (CEWIT).

[6]  Yong Gu Ji,et al.  Effects of Superimposition of a Head-Up Display on Driving Performance and Glance Behavior in the Elderly , 2016, Int. J. Hum. Comput. Interact..

[7]  Elena Mugellini,et al.  A comparison of three interaction modalities in the car: gestures, voice and touch , 2016, IHM.

[8]  Athanasios Katsamanis,et al.  Toward automating a human behavioral coding system for married couples' interactions using speech acoustic features , 2013, Speech Commun..

[9]  Min Woo Park,et al.  Development of augmented forward collision warning system for Head-Up Display , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[10]  P R Cohen,et al.  The role of voice input for human-machine communication. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Carl Jörgen Normark,et al.  Design and Evaluation of a Touch-Based Personalizable In-Vehicle User Interface , 2015, Int. J. Hum. Comput. Interact..

[12]  Stefano Rosa,et al.  Vocal interaction with a 7-DOF robotic arm for object detection, learning and grasping , 2016, 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[13]  Linda Ng Boyle,et al.  Don't Speak and Drive: Cognitive Workload of In-Vehicle Speech Interactions , 2016, AutomotiveUI.

[14]  David Martínez,et al.  Tutoring System for the Efficient Driving of Combustion Vehicles , 2013, IEEE Revista Iberoamericana de Tecnologias del Aprendizaje.

[15]  Paul Green,et al.  Safety and Usability of Speech Interfaces for In-Vehicle Tasks while Driving: A Brief Literature Review , 2006 .

[16]  A. Sathyanarayana,et al.  UTDrive: Driver Behavior and Speech Interactive Systems for In-Vehicle Environments , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[17]  David L. Strayer,et al.  Cognitive Workload Using Interactive Voice Messaging Systems , 2016 .

[18]  V. Charissis,et al.  Evaluation of Prototype Automotive Head-Up Display Interface: Testing Driver's Focusing Ability through a VR Simulation , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[19]  Fred Feng,et al.  Development of an Integrated Simulation System for Design of Speech-Centric Multimodal Human-Machine Interfaces in an Automotive Cockpit Environment , 2016 .

[20]  Ming-Hui Wen,et al.  Comparison of head-up display (HUD) vs. head-down display (HDD): driving performance of commercial vehicle operators in Taiwan , 2004, Int. J. Hum. Comput. Stud..

[21]  Bret Harsham,et al.  Evaluating the usability of a head-up display for selection from choice lists in cars , 2011, AutomotiveUI.

[22]  M. Trivedi,et al.  Active Heads-up Display based Speed Compliance Aid for Driver Assistance: A Novel Interface and Comparative Experimental Studies , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[23]  Gudrun Klinker,et al.  Visual Longitudinal and Lateral Driving Assistance in the Head-Up Display of Cars , 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.

[24]  Myounghoon Jeon,et al.  Tutorial on In-vehicle Auditory Interactions: Design and Application of Auditory Displays, Speech, Sonification, & Music , 2016, AutomotiveUI.

[25]  Hyesun Park,et al.  Efficient Information Representation Method for Driver-Centered AR-HUD System , 2013, HCI.