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Oct. 27

Oct. 28

Main conference day 1

Oct. 29

Main conference day 2

Oct 30

Main conference day 3

Workshops, Doctoral consortium

09:00 – 09:30 Opening
09:30 – 10:30 Keynote
10:30 – 11:00 Break
11:00 – 12:00 Session 1

12:00 – 13:30 Lunch

13:30 – 14:30 Session 2
14:30 – 16:30 Poster session
16:30 – 17:30 Session 3
19:30 Conference dinner

09:00 – 10:20 Session 4
10:20 – 11:00 Session 5
11:00 – 11:30 Break
11:30 – 12:30 Session 6

12:30 – 14:00 Lunch

14:00 – 16:00 Poster session 2: work in progress
16:00 – 18:00 Excursion to TNO

09:00 – 10:00 Session 7
10:00 – 10:30 Break
10:30 – 11:30 Session 8
11:30 – 12:00 Closing Remarks


Keynote address

From Driver Distraction to Driver Support, the Role of User Interfaces
Karel Brookhuis, Technische Universiteit Delft/Universiteit Groningen, The Netherlands

Karel Brookhuis Short Bio Karel Brookhuis is a (part-time) full professor at the Faculty of TPM at Delft University of Technology and the Department of Psychology of the University of Groningen. He completed his study in Psychology at the University of Groningen, specialising in experimental psychology and psychophysiology, in 1980. Research interests are human factors in occupational settings, particularly traffic and transport, for instance, with respect to driving behaviour in specific conditions. Research topics include effects of psycho-active substances and fatigue on driving behaviour, measurement methods, psycho-physiological aspects of task performance, work load in traffic, specifically under and with ICT applications. Much of this work has been through participation in several large European projects focusing on design and evaluation of new telematics applications (ADAS) in traffic.

Session 1: Interaction Techniques 1: Gesturing

Standardization of the In-Car Gesture Interaction Space
Andreas Riener; Patrick Hagmüller; Harald Rogner; Florian Weger; Adrian Tappe

A Study of Unidirectional Swipe Gestures on In-Vehicle Touch Screens
Gary Burnett; Elizabeth Crundall; David Large; Glyn Lawson; Lee Skrypchuk

Opportunistic Synergy: a Classifier Fusion Engine for Micro-Gesture Recognition
Leonardo Angelini; Francesco Carrino; Stefano Carrino; Maurizio Caon; Omar Abou Khaled; Elena Mugellini

Session 2: Interaction Techniques 2: Pointing

Free-hand Pointing for Identification and Interaction
Sonja Rümelin; Chadly Marouane; Andreas Butz

How To Make Large Touch Screens Usable While Driving
Sonja Rümelin; Andreas Butz

Driver Queries Using Wheel-Constrained Finger Pointing and 3D Head-up Display Visual Feedback
Kikuo Fujimura; Lijie Xu; Cuong Tran; Rishabh Bhandari; Victor Ng-Thow-Hing

Session 3: Measuring and Reducing Distraction

Advanced Auditory Cues on Mobile Phones Help Keep Drivers’ Eyes on the Road
Thomas Gable; Bruce Walker; Haifa Moses

ADAS HMI Using Peripheral Vision
Sabine Langlois

Visual-Manual In-Car Tasks Decomposed - Text Entry and Kinetic Scrolling as the Main Sources of Visual Distraction
Tuomo Kujala; Johanna Silvennoinen; Annegret Lasch

Session 4: Multimodal Interaction

Evaluating Multimodal Driver Displays of Varying Urgency
Ioannis Politis; Stephen Brewster; Frank Pollick

Comparing Three Novel Multimodal Touch Interfaces for Infotainment Menus
Richard Swette; Keenan May; Thomas Gable; Bruce Walker

Using Speech, GUIs and Buttons in Police Vehicles: Field Data on User Preferences for the Project54 System
W. Thomas Miller; Andrew Kun

International Evaluation of NLU Benefits in the Domain of In-vehicle Speech Dialog Systems
Linn Hackenberg; Sara Bongartz; Christian Härtle; Paul Leiber; Thorb Baumgarten; Jo Ann Sison

Session 5: Texting and Calling

Texting While Driving: Is Speech-based Texting Less Risky than Handheld Texting?
Jibo He; Alex Chaparro; Bobby Nguyen; Rondell Burge; Joseph Crandall; Rui Ni; Shi Cao; Barb Chaparro

Exploring User’s Expectations for Context and Road Video Sharing While Calling and Driving
Bastian Pfleging; Stefan Schneegass; Albrecht Schmidt

Session 6: Driver Modelling

Automated Driving Aids: Modeling, Analysis, and Interface Design Considerations
Michael Heymann; Asaf Degani

A Data Set of Real World Driving to Assess Driver Workload
Stefan Schneegass; Bastian Pfleging; Nora Broy; Frederik Heinrich; Albrecht Schmidt

The Effect of Cognitive Load on Adaptation to Differences in Steering Wheel Force Feedback Level
Swethan Anand; Jeroen Hogema; Jacques Terken

Session 7: Methodology

The Car Data Toolkit: Smartphone Supported Automotive HCI Research
David Wilfinger; Martin Murer; Axel Baumgartner; Christine Döttlinger; Alexander Meschtscherjakov; Manfred Tscheligi

Measuring Linguistically-induced Cognitive Load During Driving Using the ConTRe Task
Vera Demberg; Asad Sayeed; Angela Mahr; Christian Müller

Standard Definitions for Driving Measures and Statistics: Overview and Status of Recommended Practice J2944
Paul Green

Session 8: Experience

Measurement Of Momentary User Experience In An Automotive Context
Moritz Körber; Klaus Bengler

Development of a Questionnaire for Identifying Driver’s Personal Values in Driving
Qonita Shahab, Jacques Terken, Berry Eggen

Presenting System Uncertainty in Automotive UIs for Supporting Trust Calibration in Autonomous Driving
Tove Helldin; Göran Falkman; Maria Riveiro; Staffan Davidsson

Poster Session

Computerized Experience Sampling in the Car – Issues and Challenges
Alexander Meschtscherjakov; Sandra Trösterer; Christine Döttlinger; David Wilfinger; Manfred Tscheligi

Exploring Head-up Augmented Reality Interfaces for Crash Warning Systems
Hyungil Kim; Xuefang Wu; Joseph L. Gabbard

Using Tap Sequences to Authenticate Drivers
Andrew Kun; Travis Royer; Adam Leone

Exploring Comfortable and Acceptable Text Sizes for In-Vehicle Displays
Derek Viita; Alexander Muir

Towards Augmented Reality Navigation Using Affordable Technology
Oskar Palinko; Andrew Kun; Zachary Cook; Adam Downey; Aaron Lecomte; Meredith Swanson; Tina Tomaszewski

Estimating Cognitive Load Using Pupil Diameter During a Spoken Dialogue Task
Peter Heeman; Tomer Meshorer; Andrew Kun; Oskar Palinko; Zelijko Medenica

Unwinding after Work: An In-Car Mood Induction System for Semi-Autonomous Driving
Zoe Terken; Roy Haex; Luuk Beursgens; Elvira Arslanova; Maria Vrachni; Jacques Terken; Dalila Szostak

Mostly Passive Information Delivery in a Car
Tomáš Macek; Tereza Kašparová; Jan Kleindienst; Ladislav Kunc; Martin Labský; Jan Vystrčil

Driver Diaries: A Multimodal Mobility Behaviour Logging Methodology
Martin Kracheel; Roderick McCall; Vincent Koenig

Haptic In-seat Feedback for Lane Departure Warning
David Dass; Alex Uyttendaele; Jacques Terken

Gameful Design in the Automotive Domain – Review, Outlook and Challenges
Stefan Diewald; Andreas Möller; Luis Roalter; Tobias Stockinger; Matthias Kranz

Assessing In-Vehicle Information Systems Application in the Car: a Versatile Tool and Unified Testing Platform
Nicolas Louveton; Rod McCall; Tigran Avanesov; Vincent Koenig; Thomas Engel

Collision Detection and Warning at Road Intersections Using an Object Oriented Bayesian Network
Galia Weidl; Virat Singhal; Dominik Petrich; Dietmar Kasper; Andreas Wedel; Gabi Breuel

Sustainability, Transport and Design: Reviewing the Prospects for Safely Encouraging Eco-driving
Rich McIlroy; Neville Stanton; Catherine Harvey

Anticipatory Driving Competence – Motivation, Definition & Modeling
Patrick Stahl; Birsen Donmez; Greg A. Jamieson

Graphic Toolkit for Adaptive Layouts in In-Vehicle User Interfaces
Renate Häuslschmid; Klaus Bengler; Cristina Olaverri Monreal

A Left-Turn Driving Aid Using Projected Oncoming Vehicle Paths with Augmented Reality
Cuong Tran; Karlin Bark; Victor Ng-Thow-Hing

Poster Session 2: Demo’s and Work in Progress

Development of a Conversational Speech Interface Using Linguistic Grammars (Demo and poster)
Hansjörg Hofmann, Ute Ehrlich, Sven Reichel, André Berton

Comparison of Different Touchless Gesture Interactions in the Car Cockpit (Demo and poster)
Diana Reich, Marcus Weber

Usability evaluation for TETRA mobile radio and onboard computer integration in Public Protection and Disaster Relief (PPDR) vehicles: Touch screen based user interface
Ville Roisko, Satu Luojus

On the influence of a vehicle's apparent intelligence on driving behaviour and consequences for car UI design
Serge Thill, Maria Nilsson, Paul Hemeren

Personalized situation-adaptive User Interaction in the Car
Nadine Siegmund, Tobias Altmüller, Klaus Bengler

Emergent properties of interaction and its implications for the design of electric vehicles
Maria Nilsson

Detection of Drivers’ Incidental and Integral Affect Using Physiological Measures
Samantha Jansen, Abbey Westphal, Myounghoon Jeon, Andreas Riener

Exploring aesthetics factors of gesture interaction in vehicles- An empirical study of in-car music player
Yongmeng Wu, Hao Tan, Jianghong Zhao

Influences of Socio-Demographic Factors, Personality Traits and Car Usage on Cooperative Guidance and Control
Sonja Meier, Eugen Altendorf, Marcel Baltzer, Frank Flemisch

Driving Simulator Sickness Screening: Efficient and Effective New Protocol
Thomas Gable, Bruce Walker

AmbiCar: Towards an in-vehicle ambient light display
Andreas Löcken, Heiko Müller, Wilko Heuten, Susanne Boll

Instruction or distraction in the driving school?
Agnese Caglio, Mike Kirk Andersen

Multi-modal tactile displays for enhanced driver awareness and safety
Maria Karam

An inexpensive immersive simulation environment for in-car spoken dialogue system experiments
Jens Edlund, Catharine Oertel, Joakim Gustafson

Taking Reality for a Drive in the Lab: The Makeup of a Mockup for Automotive HMI Research
Martin Murer, David Wilfinger, Manfred Tscheligi

Necessity of Vehicle to Rail Infrastructure Communication for Grade Crossing Warning & Safety
Myounghoon Jeon, Pasi Lautala

A Model For Predicting the Visual Complexity of In-Vehicle Interfaces
Luuk Beursgens, Sandro Castronovo, Christian Müller, Jacques Terken



AUTO UI ’13 hosts six workshops on October 27 th.

For submission deadlines please see the workshop websites below.

Workshops will also be held in the Auditorium.


Sunday, October 27th


Room 12a

Room 12b

Room 13a

Room 13b

9:00 – 12:00 WS3+6:

using Contextual Design

UX for
12:00 – 14:00 Lunch (Voorhof) Lunch (Voorhof) Lunch (Voorhof) Lunch (Voorhof)
14:00 – 17:00 WS1:
Doctoral Consortium (14:30-17:30) WS2:
UX for


Workshop 1 (full-day workshop)
EVIS 2013 - 2nd Workshop on Electric Vehicle Information Systems



Sustainability has become one of the key factors for car manufacturers worldwide. Electric vehicles (EVs) are clean, quiet, efficient, and offer a great opportunity to keep our environment healthy. High effort has been put into new technologies, materials and infrastructure. Though, little research has been done on in-vehicle information systems (IVIS) to fit the needs of EV drivers. We will discuss how electric vehicle information systems (EVIS) and car interiors can be designed to meet challenges inherent in the development process of electric vehicles like e.g. range anxiety, energy recovery/recharging or automated driving. The goal of the workshop will be a summary of the Grand Challenges of EVIS.


  • Sebastian Loehmann - University of Munich (LMU)
  • Sebastian Osswald - TUM CREATE
  • Daniel Gleyzes - TUM CREATE
  • Klaus Bengler - Technische Universität München
  • Manfred Tscheligi - University of Salzburg
  • Andreas Butz - University of Munich (LMU)


Workshop 2 (full-day workshop)
Cognitive Load and In-Vehicle Human-Machine Interaction



In-vehicle human-machine interaction (HMI) can interfere with the primary task of driving. The concept of cognitive load can help us understand the extent to which these interactions interfere with the driving task and how this interference can be mitigated. While research results on in-vehicle cognitive load are frequently presented at automotive research conferences and in related journals, CLW 2013, the third in the series, will provide a unique forum for focused discussions on this topic.

Organizing committee and program committee members:

  • Andrew L. Kun, University of New Hampshire, USA
  • Bryan Reimer, Massachusetts Institute of Technology, USA
  • Peter Froehlich, Telecommunications Research Center Vienna, Austria
  • Peter A. Heeman, Center for Spoken Language Understanding, Oregon Health and Science University, USA
  • W. Thomas Miller, III, University of New Hampshire, USA
  • Paul A. Green, Transportation Research Institute, University of Michigan, USA
  • Ivan Tashev, Microsoft Research, USA
  • Shamsi Iqbal, Microsoft Research, USA
  • Dagmar Kern, Bertrandt Ingenieurbüro GmbH, Germany
  • Bret Harsham, MERL, USA
  • Jessica Jung, Fraunhofer IESE, Germany
  • Zeljko Medenica, Nuance, USA
  • Sachi Mizobuchi, University of Toronto, Canada
  • Annie Pauzie, IFSTTAR/LESCOT, France
  • Joonwoo Soon, Daegu Gyeongbuk Institute of Science and Technology, Korea
  • Jessica Villing, Göteborg University, Sweden


Workshop 3+6 (full-day workshop)
Joint workshop on Natural UI's and Socially-inspired Mobility Services



This workshop will explore the emerging themes of autonomous driving, social driving and novel user interface approaches. The aim being to define the future landscape for research within and across each these areas. It aims to collect different, radical, innovative, versatile and engaging works that challenge or re-imagine human interactions in today’s automobile space. It will seek to challenge existing thinking by exploring what is possible both now and by the time the autonomous vehicle is a standard feature of our roads. Participants will be encouraged to suggest alternative concepts whether low fidelity, high fidelity, or both. Especially encouraged will be works that are experiential and can be demonstrated hands on. The workshop will be an opportunity to re-shape the conversation of automobile technology by introducing the community to a new way of thinking. A further goal of this workshop is to continue the discussion and exploration of the design space of natural multi-modal automotive user interfaces and to continue the fruitful discussions held at the first two workshops on Automotive Natural User Interfaces at AutomotiveUI 2011 and 2012 [8], [9]. We would like to analyze where and how new interaction techniques can be integrated into the car – for manual and (semi-) autonomous driving situations.


  • Bastian Pfleging - University of Stuttgart
  • Ignacio Alvarez, - Clemson University
  • Jennifer Healey _ Intel Labs
  • Nora Broy - University of Stuttgart
  • Nora Broy - University of Stuttgart
  • Andreas Riener, Johannes Kepler University Linz, Austria
  • Myounghoon Jeon, Michigan Technological University, USA
  • Ignacio Alvarez, BMW Connected Drive and Innovations, Asia Pacific Area


Workshop 4 (full-day workshop)
Exploring the User Experience of Autonomous Driving Workshop



This workshop will explore the emerging themes of autonomous driving, social driving and novel user interface approaches. The aim being to define the future landscape for research within and across each these areas. It aims to collect different, radical, innovative, versatile and engaging works that challenge or re-imagine human interactions in today’s automobile space. It will seek to challenge existing thinking by exploring what is possible both now and by the time the autonomous vehicle is a standard feature of our roads. Participants will be encouraged to suggest alternative concepts whether low fidelity, high fidelity, or both. Especially encouraged will be works that are experiential and can be demonstrated hands on. The workshop will be an opportunity to re-shape the conversation of automobile technology by introducing the community to a new way of thinking.


  • Manfred Tscheligi - University of Salzburg
  • David Wilfinger - University of Salzburg
  • Alexander Meschtscherjakov - University of Salzburg
  • Carlos Montesinos - Intel Labs
  • Roderick McCall - University of Luxembourg
  • Dalila Szostak - Intel Labs
  • Alexander Muir – Microsoft Corporation
  • Rabindra Ratan - Michigan State University


Workshop 5 (half-day workshop)
UCD using Contextual Design: Moving from data to solutions in automotive contextual design process



Changes to the contextuality of the driving experience is requiring that OEMs reevaluate the methodologies for developing automotive User Interface. In order to craft a positive user experience in the automotive context, a deep understanding of users’ latent needs, motives, values, desires, and behaviors is necessary. Through our User Experience Group’s involvement in a user-centered design process called Contextual Design [1], we’ve found interpreting data from our contextual inquiries to be the most difficult to conduct internally, as well as explain, and visualize to other non-participating members. It is also the most crucial part in the process as it reveals key insights to the users’ fundamental needs, motives, values, desires, and behaviors. This workshop aims to gather people to discuss and collaborate on the contextual design process of moving from data to solutions. There will be an emphasis on the hands-on activity of interpreting data through affinity diagramming or clustering in small multidisciplinary teams, and utilizing those results effectively.


  • Jenny Le - Fujitsu Ten Corp. of America


EIT ICT Labs OpenDS User Convention and Tutorial Day 2013



Since its market start in February 2013, the open-source driving simulation software OpenDS ( attracted more than two 250 users worldwide. World leading universities like the MIT, Stanford, Harvard, KTH, and TU-Berlin are using the tool for their automotive research. The industry is enthusiastic about the project as well: Daimler, BWM, AUDI, Johnson Controls, and others are complementing their set of development-accompanying ICT tools with the freely available Java-based simulator.

People at the Automotive Group of the German Research Center for Artificial Intelligence are the creators of OpenDS. The development is being done world-wide in a growing developer community. Our main focus is providing the users with a simulator that incorporates standard measurements and driving tasks for a wide variety of experimental designs. Here, OpenDS closely collaborates with the Driver Interface Group at the Transportation Research Institute of the University of Michigan led by Paul Green. Other lines of work include creation of driving scenarios (models), physics, and interfaces to Hardware (car, cab, projection, eye-tracking, cameras, sensors…). 

The core of the Software is being developed in the project GetHomeSafe ( funded by the European Commission in Framework Programme 7. EIT ICT Labs ( is supporting OpenDS with open-source funding and business modeling. The startup company white|c ( was founded in order to provide professional support and commercial extensions for OpenDS.

In conjunction with AutomotiveUI 2013, the International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2013), EIT ICT Labs, DFKI, and white|c are proud to announce the First OpenDS User Convention and Tutorial Day on October 26 th, 27 th in Eindhoven, The Netherlands.