IEEE IV2024 Joint Workshop on 

Are You Happy with AV ? 

User Experience (UX) in AV-Human Interaction

&

Human Factors in Human Factors in Intelligent Vehicles


13:00-16:30, June 2, 2024 @ Halla Room C

Jeju Shinhwa World, Jeju Island, Korea


 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 

Call for Workshop Papers

( Workshop Code:  AreYouHappy)

IMPORTANT DATES

Deadline for workshop paper submission: February 01, 2024

Acceptation/Rejection Notification: March 30, 2024

Final paper submission: July 31, 2024

We will use Papercept for workshop paper submissions HERE.

To submit a manuscript, you must have the following items readily available:

 ( Workshop Code AreYouHappy)


Page Limit

Publication

Committee

Hailong Liu


Nara Institute of Science and Technology (NAIST),Japanliu.hailong@is.naist.jp
  • Machine Learning
  • Human-Machine Interaction

Hao Cheng 


University of Twente,

The Netherlands

h.cheng-2@utwente.nl 

  • Deep Learning
  • Road User Behavior Prediction  

Kai Tian


University of Leeds, 

The United Kingdom


KaiTian1204@gmail.com

  • Human Factors
  • Pedestrian-vehicle interactions

Cristina Olaverri-Monreal 


Johannes Kepler University Linz

Austria


cristina.olaverri-monreal@jku.at

  • Human Factors

FUNDING

JSPS KAKENHI 

Grant Numbers JP20K19846

&

JP22H00246


MSCA PF VeVuSafety