IEEE ITSC 2023 2nd Workshop on
Are You Happy with AV ?
User Experience (UX) in AV-Human Interaction
If you cannot attend this workshop onsite and would like to join us online, please send a request to
(h.cheng-2@utwente.nl) for the access to the online meeting room.
AIM
The prospect of wide-scale development of automated vehicles (AVs) is due to advances in, e.g., robotics, computational power, communications, sensor technologies, and the recognition performance by using artificial intelligence technology. AV brings novel interactions to human users as drivers, passengers, and other human traffic partners undoubtedly. Human-machine interface (HMI) and recommendations of AV kinematics behavior have been widely studied to build appropriate interaction and communication between AV and human users to calibrate trust and improve actual and perceived safety, efficiency, comfort, prosociality, etc. User experience (UX) correlates trust and has mutual influence with multiple factors, including motion sickness, comfort, and other subjective feelings. However, it is still unclear how to achieve a better-integrated user experience in AV-human interactions. How UX and other human factors influence each other is widely unknown. This workshop aims to bring together multidisciplinary researchers from academia and industry to discuss the impact factors and potential approaches to improve user experience inside and outside automated vehicles. It is an open platform that includes interdisciplinary researchers from engineering, cognitive psychology, computer science, informatics, sociology, and design to integrate the ideas and obtain inspirations.
Topics
What factors from cognition perspective influence ‘user experience’ in AV-human interaction?
What is needed to create a positive user experience of automated driving?
What is the relationship between UX and other human factors?
How is mutual influence among comfort, trust, actual & perceived safety, workload, situation awareness, enjoyment, efficiency, satisfaction and prosociality?
Human-AV interaction theories, concepts, and models
UX design and evaluations
Evaluation metrics
Human factors
Cognitive psychology
User experience and usability
Human-machine interface for AV
Kinematics of AV
User comfort
Trust in AV
Call for Workshop Papers
( Workshop Code 52snt)
IMPORTANT DATES
Deadline for workshop paper submission: May 28, 2023
Acceptation/Rejection Notification: July 10, 2023
Final paper submission: July 31, 2023
We will use Papercept for workshop paper submissions HERE.
To submit a manuscript, you must have the following items readily available:
Type of submission: You can select Workshop Paper ( Workshop Code 52snt)
Title of the manuscript
Short 200 words text-only abstract of the manuscript
PINs of “ALL” co-authors (you can locate your co-authors’ PIN by following PIN link HERE
Keywords: you will be prompted for 1-3 conference specific keywords during the submission process
Manuscript file should be a PDF file (version 1.4 or higher), have all fonts embedded/subsetted, in US Letter page size, searchable, non-password protected document. Final papers sent to be part of the program of the conference MUST be format compliant according to the instructions provided HERE (shortcuts to preparing manuscript: LaTEX support and MS-Word support)
Page Limit
For the first submission, a manuscript in US Letter format can be of 6-8 pages (including references).
For the final submission, a manuscript should be of 6 pages (including references), with 2 additional pages allowed but at an extra charge.
Publication
Workshop papers submitted through Papercept will be peer-reviewed.
The accepted workshop papers, if they are presented at this workshop, will be published in IEEE Xplore.
We hold a special issue of Multimedia Tools and Applications related to this workshop.
We welcome your contributions!
Committee
University of Twente,
The Netherlands
h.cheng-2@utwente.nl
- Deep Learning
- Road User Behavior Prediction
Nara Institute of Science and Technology (NAIST),Japanliu.hailong@is.naist.jp
- Machine Learning
- Human-Machine Interaction
Ruolin Gao
Eindhoven University of Technology,
the Netherlands
r.gao@tue.nl
- Human Factors
- User Experience
- Automotive UI
Karlsruhe Institute of Technology (KIT),
Germany
yang.li@kit.edu
- Automotive UI
- User Experience
University of Leeds,
the United Kingdom
tscp@leeds.ac.uk
- Human Factors
- Driving Comfort
- Vehicle Kinematics