REPORT CES 2020: AUTOMOTIVE HMI FOCUS - SUPPORTED BY GOODPATCH GMBH AND STUDIOKURBOS GMBH - BEYOND HMI

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REPORT CES 2020: AUTOMOTIVE HMI FOCUS - SUPPORTED BY GOODPATCH GMBH AND STUDIOKURBOS GMBH - BEYOND HMI
beyond HMI/////

Report CES 2020:
Automotive HMI Focus

Supported by Goodpatch GmbH
and
studiokurbos GmbH

Dr.-Ing. Peter Rössger Consulting
Hohe Strasse 4
71032 Böblingen
Germany
Tel.: +49 172 384 24 75
Mail: Peter.Roessger@beyond-hmi.de
www.beyond-hmi.de

Public, Version 1.0 as of January 20, 2020

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Disclaimer
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beyond HMI/////

Make Technology Sexy! About beyond HMI/////
beyond HMI///// is a consultancy business in human machine interaction (HMI) design, usability
and user experience. We have a strong focus on the automotive and the transportation industry.
Driven by the vision of easy to use, valuable, and safe technologies we transform our clients into
user centric thinking, acting, and decision making.
beyond HMI///// conducts market analysis and studies, collects, processes, and distributes
knowledge on HMIs, ease of use and fun of use. We develop technology strategies for our clients
to reach their goals in usability and user experience. HMI solutions are developed and
implemented. Knowledge on processes, parameters, and personalities required to deliver optimal
solutions is delivered to lift our clients to the next level of understanding, realization and
performance.
Our clients range from billion-dollar businesses in electronics, automotive, and mobility to start
ups, design studios, and consulting companies. They include OEMs, 1st and 2nd tier suppliers,
product and screen design agencies, and show car workshops.

On the Author HMI Guru. HMI Expert. HMI Punk.
Dr. Peter Rössger is founder and owner of beyond HMI/////. He started his business endeavor in
2015 backed by over 25 years of experience in automotive usability, user experience, and HMI
design. Beside his consultancy activities Peter is keynote speaker, assistant professor for Human
Factors at the International School of Management, at the Hochschule Esslingen and the
Joanneum Graz (Austria). In 2017 he received the certification as a Systemic Management Coach
by the ICF.
Until early 2015 Peter was Business Development Director at TES Electronic Solutions GmbH.
During his 12 years with Harman Automotive he created HMI concepts for automotive OEMs like
Mercedes, Porsche, Toyota, Hyundai, PSA, Ferrari, Chrysler, and Harley Davidson. For Daimler he
worked 4 years in driver-vehicle interaction.
Peter holds a doctoral degree in Human Factors Engineering from the Technical University of
Berlin. He published various papers on usability, user experience, cross cultural HMIs, and
autonomous driving. His first book was published on Amazon KDP in November 2016.
Peter lives at Böblingen near Stuttgart, Berlin and Port d'Andratx, Mallorca.

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1 Content
1     Content......................................................................................................................................... 5
2     Figures .......................................................................................................................................... 6
3     General Trends ............................................................................................................................. 7
4     Automotive Trends ....................................................................................................................... 8
    4.1     The 3D Dimension of Mobility............................................................................................... 8
    4.2     C.A.S.E. Technologies ............................................................................................................. 9
    4.3     Diversity of Mobility Devices ................................................................................................. 9
    4.4     Driver Monitoring ................................................................................................................ 12
    4.5     LiDAR for Object Recognition .............................................................................................. 13
5     Automotive HMI Trends ............................................................................................................. 13
    5.1     Shy-Tech vs. Ubiquity ........................................................................................................... 13
    5.2     The Expansion of Driver Cognition ...................................................................................... 15
    5.3     Display Technologies and Form Factors............................................................................... 15
    5.4     Interaction Solutions ........................................................................................................... 17
6     Personal Highlights ..................................................................................................................... 18
    6.1     Mercedes AVTR ................................................................................................................... 18
    6.2     Rinspeed Metrosnap ........................................................................................................... 18
    6.3     Sony Vision S........................................................................................................................ 20
    6.4     Goodpatch Athena .............................................................................................................. 20
    6.5     Bosch Virtual Visor .............................................................................................................. 21
7     Outlook....................................................................................................................................... 22

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 2 Figures
Figure 1: Hyundai Personal Air Vehicle S-A1 ........................................................................................ 8
Figure 2: Damon Hypersport HS Electric Motorbike ............................................................................ 9
Figure 3: Various electric vehicles in a common scenario ................................................................. 10
Figure 4: Autonomous shopping cart following the user autonomously .......................................... 11
Figure 5: Audi AI:ME........................................................................................................................... 11
Figure 6: FCA Airflow Vision ............................................................................................................... 12
Figure 7: Driver monitoring system .................................................................................................... 12
Figure 8: LiDAR presentation for object detection............................................................................. 13
Figure 9: BMW seat with input and output devices woven into the seat fabric ............................... 14
Figure 10: AR/XR dashboard by Luxoft .............................................................................................. 14
Figure 11: Camera enhanced rearview mirror ................................................................................... 15
Figure 12: HALO concept of Luxoft .................................................................................................... 16
Figure 13: Audi transparent display, extracted .................................................................................. 16
Figure 14: Mobis people mover with transparent display ................................................................. 16
Figure 15: Haptic controller for multiple use cases ........................................................................... 17
Figure 16: Mercedes AVTR ................................................................................................................. 18
Figure 17: Rinspeed Metrosnap interior ............................................................................................ 19
Figure 18: Rinspeed Metrosnap, change of the pod.......................................................................... 19
Figure 19: Interior of the Sony Vision S .............................................................................................. 20
Figure 20: Presentation of Athena ..................................................................................................... 21
Figure 21: Testing the Virtual Visor .................................................................................................... 22

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    3 General Trends
The CES 2020 was located at Las Vegas, NV and opened the doors from January 7 to 10, 2020.
More than 4500 exhibitors shared 2.9 million square feet exhibition space, which equals nearly
290,000m². 170,000 visitors, about 10,00 less than in 2019, attended the show. 60,000 attendees
joined from outside the USA. As usual the traffic broke down around the Convention Center every
morning and every afternoon during the show, waiting lines for the Monorail, food, and pedestrian
crossing where long.
On the other hand, with a few exceptions like the Mercedes AVTR or the Hyundai PAV access to
most booths and exhibits was easy, most booth staff where relaxed and open. The trend towards
closed booths, which are accessible by invitation only, the rental of suites off the Convention
Center grounds at hotels like the Westgate or the Venetian is a growing trend. Goodpatch,
Rightware, Continental, and Elektrobit are part of this trend. Harman is having a closed invitation
only booth at the Hard Rock Hotel since many years.
The space automotive and mobility exhibit occupy grew again compared to last year. The North
Hall was fully automotive as usual, with booths of OEMs like Mercedes, Audi, Nissan, Toyota, Ford,
and FCA. Suppliers like Mobile Eye, Osram, Hyundai Mobis and services companies like Luxoft
presented there. The Westgate Hotel had two show floors, one focused on mobility, the Internet of
Things and 5G, which were also often automotive related. The second part focused on automotive
services and technologies companies like Forciot, IAV, and Bertrandt.
The Central Hall hosted automotive suppliers and consumer electronics companies. Some of them
like Bosch, Panasonic, and Samsung presented car related technologies. Biggest surprise was the
Vision S of Sony, a concept car no one had expected before.
Artificial intelligence1 was ubiquitous. On almost any booth something was AI driven or “smart”. In
many cases this seemed to be buzzwords. If I attach some electronics to something, this does not
necessarily lead to a smart product. Some applications, particularly in the area of object detection,
computer vision, mobility, and complex data processing seem to be worth called “smart”.
5G technology becomes more and more available, for me the installation of the infrastructure is
the next big challenge. Applications like autonomous driving and smart cities will highly benefit
from a fast and reliable data connection.
To me it seems like toy drones, that dominated the South Hall in the past two years, had a far
smaller footprint this year. Curved TVs are almost completely gone, I had never believed in them
anyway. I did not find companies offering cheap copies of products anymore. Either they are out of
business or the CES applies its policy on that strictly.

1
  Regular readers of my reports know that I don’t like the term “artificial intelligence”. To me intelligence is clearly
linked to a living being, first of all to humans. Machines are not intelligent in a core sense and will probably never be. I
prefer terms like “machine learning”, “self-adapting software”, or “big data analysis”. But since AI is ubiquitous, I use
term if appropriate.
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4 Automotive Trends
When leaving the CES in the past years I always had a clear feeling on the new trends, where the
automotive industry is heading, who is leading the pace. This year I’m missing that. The battle on
technological leadership between OEMs and 1st tiers is undecided this year. The role of new players
like Sony, Byton, and Fisker is open. New megatrends are hardly visible.
Tons of technological solutions for the existing megatrends are market ready, from sensors, object
recognition to 5G data connection we are set with devices that can perform large scale. Mobility
will grow beyond cars in the near future, other devices where shown. I’m looking forward to the
solutions that machine learning and HMI will provide for user in the future. Well, at the end, there
are a few generic takeaways!

4.1 The 3D Dimension of Mobility
Drones as toys where not as visible as they had been in the past two years, mobility solutions that
use the 3rd dimension where shown by different companies on different levels of maturity. In
animations, movies and concepts many companies showed flying object transporting goods and
humans. Bell presented their solution for the second time. Surprisingly Hyundai (Figure 1) used a
large amount of their booth space for a helicopter style device called PAV (Personal Air Vehicle)
providing mobility in the 3rd dimension.

Figure 1: Hyundai Personal Air Vehicle S-A1
For me a few points remain open. The use of the 3rd dimension seems to solve some of our
mobility problems. Lifting into the air and flying over a traffic plagued city looks attractive. In the
beginning that will be a solution for a small group of users, that have big enough wallets to pay for
escaping the reality on our urban roads. If we make the use more reasonable the number of users,
devices, and flights will grow. This will then lead to congestions in the 3rd dimension. As appealing
as the idea looks like and as exciting the solution are: flying cars alone will not help us long term.

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4.2 C.A.S.E. Technologies
The megatrends of the automotive industry summarized in the C.A.S.E. mantra (connected,
autonomous, shared, electric) where underpinned by a high number of technologies. Connectivity
of vehicles is provided by 4G today, and will be provided by 5G telecommunication devices in the
future. Vehicles will become parts of the IoT (Internet of Things). Data infrastructure seems to be
ready to be implemented. Use cases are defined.
Autonomous driving will be possible by using various sensor and camera technologies (see 4.5 ),
HD maps will be provided by the combination of vehicle sensors and fast data connectivity. Mobile
Eye announced robo taxis at Tel Aviv for 2022. Without knowing any of the details, driver on-board
or not, limited geofenced area of use or full mobility, separate lanes or part of the existing traffic,
this shows that step by step autonomous driving will be realized. Not as fast as we predicted it 5
years ago, but we are moving forward. Use cases for the next steps of autonomous driving are
defined. Highway driving will be an early application just like automated parking and valet services.
The number of exhibits for shared mobility was lower. Sharing a car has failed the proof of reality,
various companies limit or stop their offers. This was reflected on the show floor. Electric mobility
seems to be set for the mid-term future. Fisker presented the Ocean, a show car that indicates the
future design of the company.

4.3 Diversity of Mobility Devices
Electric mobility does not include cars, but also scooters, motorbikes, Segway style devices,
wheelchairs and others. Some of the vehicles cover real and existing use cases, some will probably
only add up to fleets, but not replace any existing car. As an example: Damon presented the
Hypersport HS, a connected electric bike with a focus on safety related technologies (Figure 2).
Jetson an urban electric motorbike.

Figure 2: Damon Hypersport HS Electric Motorbike

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Toyota presented a traditional electric car, a people mover, electric wheelchairs, and autonomous
transport boxes in a common scenario on the booth (Figure 3). Aisin presented an autonomous
shopping cart that follows the user in the supermarket but may also be used as a scooter style
vehicle on roads (Figure 4).

Figure 3: Various electric vehicles in a common scenario

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Figure 4: Autonomous shopping cart following the user autonomously
The number of people movers was lower compared to 2019, more traditional interior concepts
where shown, even for fully autonomous cars. An example is the Audi AI:ME, which was
announced as a personalized third living space (Figure 5) in an autonomous vehicle. FCA takes
pretty much the same path with the Airflow Vision concept (Figure 6).

Figure 5: Audi AI:ME

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Figure 6: FCA Airflow Vision

4.4 Driver Monitoring
Driver and interior monitoring where shown on a high number of booths. Use cases are driver
state monitoring, which will play a core role in autonomous driving before and during the
handover procedure from car to driver. Before the car shifts the responsibility to the driver it
should know if the human is ready and willing to take over and perform. The detection of driver
attention, distraction, drowsiness, and sleeping driver detection are some of the use cases.
Eyesight (Figure 7) and Smarteye presented respective solutions. The technologies presented
performed well, some had a latency of a few seconds for example in the detection of a drinking,
smoking, or phoning driver.

Figure 7: Driver monitoring system

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4.5 LiDAR for Object Recognition
LiDAR (Light Detection and Ranging) technologies seem to be the favorite sensor for exterior
sensing in autonomous driving. The Velodyne solution is shown in Figure 8. The number of solution
providers was high, alternative technologies like radar hard to find. Biggest provider of future
LiDAR solutions for automotive application may be Bosch with the long-range LiDAR they
presented.

Figure 8: LiDAR presentation for object detection

5 Automotive HMI Trends
5.1 Shy-Tech vs. Ubiquity
Two generic trends where visible in automotive HMIs. One was the use of shy-tech. This means
that technology and interaction devices are hidden. They are not obvious to the user but hide
themselves. This leads to clean vehicle interiors, overloading dashboards with buttons, knobs,
switches are avoided. Downturn in the non-visibility. The devices, and with that the technology
hides, is not obvious, and particularly for new users hard or impossible to find.
An example of shy-tech are the BMW comforts seats. The have input devices and light fibers
woven into the fabric of the seat. Cool and clean look, but impossible to use without instructions.
The opposite trend where AR/VR/XR solutions, which lead to ubiquitous HMIs. Augmented reality
overlays the reality with additional information. This was often performed by head up displays.
Virtual reality applications use respective goggles, that the users wear. They are used as
infotainment devices, for development purposes or as show cases for future concepts that can’t be
realized today. XR (mixed reality) mixes AR and VR, by creating an AR experience using VR glasses
(Figure 10).
Sekurit presented its concept to use car window as interaction devices. Information is presented,
either as augmented reality or stand alone. The manipulation is performed with gestures.

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Figure 9: BMW seat with input and output devices woven into the seat fabric

Figure 10: AR/XR dashboard by Luxoft

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Mitsubishi Electric presented a technology to improve speech recognition in noisy environments
and with more than one person speaking. The system can differentiate between voices stream of
different persons by using a microphone array and a video camera that perform lip reading. The
combination of the two processing methods allows the separation of a person’s voice and the
reduction of background noise.

5.2 The Expansion of Driver Cognition
The expansion of human senses is core for many technological and HMI solution in the automotive
area. Gentex presented various solutions for the replacement or enhancement of rearview mirrors
using cameras. For the US market they added a camera to the mandatory physical mirror and
displayed the camera image on the central rearview mirror, another solutions uses cameras only to
create the three views (left, central, right) and merged into a display located where today’s central
rearview mirrors are (Figure 11).

Figure 11: Camera enhanced rearview mirror

5.3 Display Technologies and Form Factors
The amount of pillar to pillar display was reduced compared to last year, but it is still a valid trend.
Byton presented its vehicle which seems to be close to market ready, Luxoft integrated such a
device into the HALO concept (Figure 12), Gentex presented a semi-transparent combiner head up
display, that uses the entire width of the dashboard.
Audi presented a semitransparent display that contains an additional layer providing black as a
color on the display (Figure 13). This is highly innovative, existing transparent displays can’t display
black. The concept shown realized use cases around autonomous driving. The display was foldaway
to 50% of its height in manual modes, and fully extracted in autonomous modes.
Hyundai Mobis presented a transparent display concept in a people mover (Figure 14).

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Figure 12: HALO concept of Luxoft

Figure 13: Audi transparent display, extracted

Figure 14: Mobis people mover with transparent display
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The trend towards large horizontal displays was broken by various vehicles and concepts. The Ford
Mustang Mach E for example has a central vertical infotainment display, just like the Fisker Ocean
and the cockpit concept of Infinion.

5.4 Interaction Solutions
For information input into vehicle systems touch screens are dominant at the moment. Hardly any
concept showed an alternative solution. This trend seems to be stable for the foreseeable future,
although this technology has serious downturn in automotive contexts.
Amazon had an extremely well attended booth in the North Hall. They promoted various services
around vehicles and mobility. On the HMI side they presented the integration of Alexa into
vehicles. GHSP presented an HMI controller with adaptable haptic feedback (Figure 15), which uses
an illuminated ring around the device to provide additional feedback to the user. In the presented
use case, the controller was used for infotainment in autonomous driving modes, combined with a
touchscreen. In manual driving modes it is supposed to replace the steering wheel. I find this an
interesting idea once we get to a level of autonomy, where manual use cases are absolute edge
cases that occur very seldom.

Figure 15: Haptic controller for multiple use cases

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6 Personal Highlights
6.1 Mercedes AVTR
The Mercedes AVTR was not only for me one of the show highlights. Long waiting lines in front of
the booth indicated an extreme interest of the visitors. That’s why the picture in Figure 16 shows
the model presented at the booth, not the original show car. Mercedes cooperated with the
makers of the movie Avatar to re-interpret vehicles, mobility and in-vehicle HMIs.
Connectivity was interpreted not only as the connection between the vehicle and a digital
environment, but also as the connection between car and nature. Mercedes interprets the vehicle
as respecting the limits of our resources without limiting mobility.
The HMI concept of the vehicle is highly innovative. A biometric connection between driver and
car provides a totally new user experience, physiological data is used to finetune the vehicle and to
melt human and machine. The car detects driver emotions and adapts itself to them. Main
steering device is a touchpad called joypad on the center console. Interaction screens are shown
on the palm of the driver’s hand, manipulation is performed with gestures. The entire center stack
and the dashboard serve as screens.

Figure 16: Mercedes AVTR

6.2 Rinspeed Metrosnap
For the 3rd year in a row Rinspeed presented a version of the Snap technology. Skateboards, that
will be public, are combined with privately owned or application specific pods. The variety of pods
ranges from passenger pods to delivery pods and postal/sales services.
The Metrosnap is smaller than the 2018 and vehicle and larger than the one from 2019. The
passenger cabin hosts four seats, coffee machine, a water dispenser, and two vertical curved
displays for the HMI plus one smaller display for vehicle functions (Figure 17). A finger pulse sensor
is used to analyze the driver condition.
The biggest improvement is the simplified procedure to change the pods on a skateboard (Figure
18). The variety of non-passenger pods grow, which expands the number of use cases for the
vehicle. Again, a big step forward for this fascinating concept!

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Figure 17: Rinspeed Metrosnap interior

Figure 18: Rinspeed Metrosnap, change of the pod

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6.3 Sony Vision S
One of the biggest surprises of this year’s event was the presentation of a car on the Sony booth.
The car was heavily surrounded by people almost every time I checked the Sony booth. It is heavily
supported by various suppliers like Magna, Continental, or Bosch (which car is not?).
The Vision S presented the vision of Sony of next generation cars, with a strong focus on future
mobility, interior, infotainment electronics, connectivity. The HMI has a horizontal screen that goes
from pillar to pillar, consisting of three single screens. At the ends separate displays for the rear-
view mirrors are installed, the three in the middle cover cluster, infotainment and passenger
entertainment.
The connectivity allows the control of vehicle functions from external instances, the
personalization of the cabin, and the update of in-vehicle systems. Nothing we have not seen or
heard somewhere else before in this car, but I find it nicely combined, condensed into a clear
message, and realized with a great design.

Figure 19: Interior of the Sony Vision S

6.4 Goodpatch Athena
Athena is a highly specialized engineering studio for augmented reality, virtual reality and
gamification. It is a VR based tool for the development of vehicle interiors, that complements
physical modelling of car interiors. Long term it may replace physical models completely.
Users wear a headset with a hand-detecting device. In the display a virtual and dynamic
environment – meaning vehicle interior, exterior and road scenes - are displayed (Figure 20). 3D
data of vehicle interiors, including displays and HMI devices are presented. Position and
movements of the hands are detected and projected into the environment. The user sees his/her
hands in the virtual scenery. They can interact with the vehicle interior and functions. This tool will
bring user testing and interior design development to a new level.

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Figure 20: Presentation of Athena

6.5 Bosch Virtual Visor
We all know the situation when direct sunlight or upcoming cars at night create glare. The visors
installed in vehicles today are an established solution, that solves the problem partially. The Bosch
Virtual visor offers a new solution (Figure 21). The solution combines gazing detection and
semitransparent display technology. When a potential glare is detected the semitransparent
displays turns black exactly in the direction of view for exactly the time of the glare. This allows
maximum reduction of glare with a minimum of covering information from the road. I can imagine
that this device will create real progress in user experience in hazardous situations.

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Figure 21: Testing the Virtual Visor

 7 Outlook
This CES again was a great experience. The trends, that the automotive industry gets more and
more visibility, mobility and smart cities provide a growing footprint is stable. It is still a consumer
exhibition, but since cars become more and more consumer devices, Las Vegas is the place to
travel to when you want to see latest trends in our industry. You will see me there in 2021!

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HMI Guru. HMI Expert. HMI Punk. Usability. User experience. Human-technology interaction. We
need to know everything about humans in order to shape technology. And not the other way
around. I adapt technology to the skills, needs and desires of people. And not the other way
around.
With my keynote speeches, reports, consultations and coachings, I take my clients from
automotive and high-tech industries to a new level of knowledge, acting and decision. I make
technology sexy!
In my keynote speeches you will gain knowledge from more than 30 years of user-oriented
technology development, right from real life, immediately applicable, entertaining and insistently
presented. You may even laugh with me!
I offer HMI (Human Machine Interface) strategies, concepts, developments and implementations.
Based on market, technology and user analyzes, my clients receive technology strategies and
product concepts that are perfectly adapted to users, use cases and contexts.
Book me for a keynote. Call me to take you and your technology to a new level. Web: www.peter-
roessger.com. Mail: peter.roessger@beyond-hmi.de, phone +49 172 384 24 75

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