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Market Research Report

The HMI for Automated Vehicle Report 2015-16

Published by TU Automotive Product code 336963
Published Content info 43 Pages; 17 Figures; 4 Case Studies
Delivery time: 1-2 business days
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The HMI for Automated Vehicle Report 2015-16
Published: July 31, 2015 Content info: 43 Pages; 17 Figures; 4 Case Studies

The report looks into the role of HMI in facilitating driver engagement, car-to-driver communication and car-to-driver takeover of control. This is key for two main reasons:

  • As the autonomous technology is not ready to handle all driving conditions, the driver will be required to take control in certain situations, hence HMI and the User Interface are crucial to ensure the driver's contextual awareness (i.e. keep the driver/user engaged enough in the driving task and what's happening around them so that he/she can take control back quickly as needed).
  • Given that every OEM has access to similar-quality hardware/sensors, HMI becomes the unique feature OEMs have to differentiate their brand.

Key Takeaways

  • Who is using the automated vehicle? A look at risk taking, complacency, distraction, vigilance decrement, and drowsiness as factors that complicate human-machine interaction
  • Consistent HMI vs. Unique Brand Experience: Should automated vehicle HMI design be standardized?
  • Operator engagement: What are the HMI options are being proposed to keep operators engaged in monitoring the roadway, as well as being contextually aware of the automation?
  • Consumer acceptance: How can HMI can boost consumers' trust?
  • Market growth: What will be next for automated vehicles?

Case Studies

  • Case Study 1: Practical Examples of how a Staged TOR (Take-Over Request) Alert could be used Featuring the 2015 Mercedes-Benz Distronic Plus with Steering Assist and Stop&Go Pilot System and the 2015 Audi Traffic Jam Assist System
  • Case Study 2: How Long Does it Take to Get the Driver Back in the Loop?
  • Case Study 3: How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over
  • Case Study 4: The AdaptIVe Automated Driving Project Quality


  • Alan Rankin, Texas Instruments DLP® Automotive
  • Aaron Steinfeld, Carnegie Mellon University
  • Barbara Wendling, Volkswagen Group of America
  • Bobbie Seppelt, Touchstone Evaluations
  • Brian Lathrop, Volkswagen Group of America
  • Christopher Andrews, Visteon Corporation
  • Christian Gold, Technische Universität München
  • Chunka Mui, Devil's Advocate Group
  • James Foley, Toyota Technical Center
  • Myra Blanco, Virginia Tech Transportation Institute
  • Natasha Merat, University of Leeds
  • Simon Fellin, Neonode Technologies

Who is the report for?

  • Autonomous ADAS and HMI R&D job titles within OEMs and Tier 1s

Previous Buyers

Companies that have bought previous editions of this report include:

  • Daimler
  • Honda
  • Hyundai Mobis
  • Toyota Motor Europe
  • LG Electronics
  • Fujitsu Ten


The HMI for the Automated Vehicle report provides insight from key industry experts on how to enable safe interaction with automated vehicles, the complexities surrounding this emerging technology and the rising opportunities it will open up with new revenue streams.

Greg Fitch, Research Scientist, Virgina Tech Transportation Institute author of this report is a leading academic in Automated Vehicle Systems. Greg led the User Experience Group in the Center for Automated Vehicle Systems at the Virginia Tech Transportation Institute focussing in how to apply human factors to the design, testing, and evaluation of automated vehicles to help ensure that they work as expected, benefit users, and do not unintentionally jeopardize transportation safety.

Before its publication, this report will have undergone a rigorous four step process:

  • Industry research
  • Case Studies
  • Analysis
  • Peer-Reviewing

Industry Research

At the very beginning of the project 25 calls were conducted with experts representing a broad spectrum of the automotive telematics industry in order to identify:

  • Key industry trends
  • Challenges and opportunities facing executives
  • Significant information gaps


Case Studies

This report not only has contributions from leading industry experts including Volkswagon, Toyota, Texas instruments and many more but also we've provided four practical case studies from companies at the forefront of this emerging trend.

Table of Contents

Table of Contents




List of Figures

Executive Summary

1. Introduction: Automated Vehicles and the HMI as a Unique Feature to Differentiate OEM Brands

  • 1.1 Background

2. The Role of HMI in Addressing Automated Vehicle Safety Issues

  • 2.1 Vehicle-to-Operator Communication
  • 2.2 Operator-to-Vehicle Communication
  • 2.3 Acceptance

3. What Could be Next for Automated Vehicles?

4. Conclusion

5. References

6. Acronyms

List of Figures

  • Insert from attached doc up to figure 7
  • This list is a sample. Download the report brochure for the full list.

List of Tables

  • Figure 1: Texas Instrument's AR HUD Projects Status Information
  • Figure 2: Carnegie Mellon University's Automated Vehicle Visual Display Located in the Center Stack of a Cadillac SRX
  • Figure 3: Visteon's Semper Novus Cockpit Concept Utilizes Three Displays across the Entire Instrument Panel
  • Figure 4: A Driver Demonstrates Activating the Audi A7 Piloted Driving Feature by Simultaneously Pressing Two Buttons on the Steering Wheel
  • Figure 5: The Audi A7 Displays Piloted Driving Status to the Operator Using Icons in the Instrument Cluster and an LED Strip along the Bottom of the Windshield
  • Figure 6: Neonode's zForce Drive Steering Wheel Conveys Automation Mode using LEDs Mounted in the Steering Wheel
  • Figure 7: 2014 Mercedes-Benz S350 BlueTEC Instrument Cluster
  • Figure 8: Visual Icon used to Alert Operators to Grab the Steering Wheel in the S-Class Distronic plus Steering Assist System
  • Figure 9: The Audi Traffic Jam Assist System Conveying that it is Available by Displaying a Visual Message in the Instrument Panel
  • Figure 10: The Audi Traffic Jam Assist System Conveying that it is Activated by Replacing the Tachometer and Speedometer with Red Concentric Circles in the Instrument Panel
  • Figure 11: The Audi Traffic Jam Assist System Conveying that it is Deactivated by Displaying a Visual Message in the Instrument Panel and Presenting the Tachometer and Speedometer
  • Figure 12: AdaptIVe Automated Driving Project Application Domain
  • Figure 13: The Mercedes-Benz F015 Luxury in Motion Fully Automated Vehicle Concept Allows Operators to Control Various Aspects of the Vehicle through a Display Projected on the Vehicle's Interior
  • Figure 14: Reported Levels of Interest in Owning or Leasing a Level 4 Self-Driving Vehicle by Geographic Region in July, 2014
  • Figure 15. Reported Levels of Concern for Driving or Riding in a Vehicle with Level 4 Self-Driving Technology by Geographic Region in July, 2014
  • Figure 16: Demonstration of Audi's Traffic Jam Assistant System
  • Figure 17: The Mercedes-Benz F015 Luxury in Motion Fully Automated Vehicle Concept Uses LED lights to Signal to Pedestrians that it is Safe to Cross the Street
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