[Announcements] CfP: 9th Workshop Automotive HMIs: Natural and Adaptive UIs to Support Future Cars

Riener, Andreas Andreas.Riener at thi.de
Sat Mar 21 06:54:20 EDT 2020


[our apologies if you receive multiple copies of this CfP]

========================================================================
  Call for Papers

  9th Workshop Automotive HMI:
  Natural and Adaptive UIs to Support Future Cars

  colocated with MuC 2020 (http://muc2020.mensch-und-computer.de/)
  September 7, 2020 (11AM-5.30PM, tentative) | Magdeburg

  http://www.andreasriener.com/MuC2020WS/
========================================================================

Modern vehicles allow control by the driver with  multimodal user inter-
faces (UIs), touch  interaction on  screens, speech  input, and  mid-air
gestures.  These  UIs  are  driver-focused  and  optimized  for  limited
distraction to not  compromise road safety. Nevertheless, they are often
complex and it  might be difficult  to find specific features. Automated
driving in Level3+ will  disrupt the design of automotive UIs as drivers
become  passengers, at least for certain parts along the way. Similarly,
the car is being transformed into a social space where passengers can be
granted  control  over systems because they can devote their full atten-
tion without  imposing safety  risks. The  complexity of advanced driver
assistance and  in-vehicle information  systems requires  explanation to
the user, e.g., in which state the system is, interaction possibilities,
expectations from the driver or take over (TOR) timing. We  expect novel
technologies to allow for natural  interaction and  adaptivity to design
valuable and future-proof interaction concepts for the changing interior
of (automated) vehicles. The goal of this workshop is, thus, to discuss
how natural and adaptive user interfaces can help to solve the mentioned
issues and to identify potentials for future research and collaboration.


Topics of Interest
==================
The main goal of the workshop is to discuss challenges and opportunities
for natural interaction & adaptive systems in automotive user  interface
research.

Topics of interest include, but are not limited to:
* Natural interaction in complex environments
* Adaptation to the driver state and driving context
* User experience design for automated vehicles
* User interfaces for novel user groups
* Inclusive interaction for social settings in the car
* Methods and approaches to foster trust and acceptance
* Concepts related to pleasure of driving
* Personalization of vehicle behavior and interfaces
* Approaches that support situation awareness through design

We  welcome  CONTRIBUTIONS from  both  academia  and  industry in either
GERMAN or ENGLISH language!


Submission Guidelines
=====================
Contributions are welcome in various  forms including scientific  papers
reporting  user study  results, theoretical  concept  papers, futuristic
visions or design concepts. We accept long (6-10 pages) and short papers
(2-4  pages) addressing  one or multiple of the topics  described above.
Templates  for LaTeX/Word/Overleaf (same as for the main conference) can
be  found  at <http://muc2020.mensch-und-computer.de/autorenrichtlinien-
und-formatvorlage/>.
Papers have to be submitted before the submission deadline June 10, 2020
using ConfTool (https://www.conftool.com/muc2020/). Accepted papers will
be invited for presentation at the workshop and  will be included in the
ACM MuC 2020 workshop proceedings. Accompanying videos, demonstrators of
automotive HMI systems or other media are explicitly desired.


Important Dates
===============
 * Submission deadline: June 10, 2020
 * Notification of acceptance: June 27, 2020
 * Final version due: July 5, 2020
 * Workshop at MuC: Monday, September 7 2020 (tentative), 11AM-5.30PM


Organizers and Contact
========================
Andreas Riener (Technische Hochschule Ingolstadt)
Bastian Pfleging (Eindhoven University of Technology)
Henrik Detjen (Hochschule Ruhr West)
Michael Braun (BMW Group Research, Munich)

E-Mail: andreas.riener at thi.de<mailto:andreas.riener at thi.de>
WWW: http://www.andreasriener.com/MuC2020WS/

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