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AutoUI 2019 : Workshop on Explainable AI in Automated Driving: A User-Centered Interaction Approach

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Link: https://sites.google.com/view/explainableai-autoui19/call-for-papers
 
When Sep 22, 2019 - Sep 25, 2019
Where Utrecht
Submission Deadline Sep 4, 2019
Notification Due Sep 15, 2019
Final Version Due Sep 20, 2019
Categories    computer science   artificial intelligence   HCI   transportation
 

Call For Papers

Workshop date: September 22, 2019
Workshop Location: Automotive UI ‘19; Utrecht. See: https://www.auto-ui.org/19/
Workshop web site: https://sites.google.com/view/explainableai-autoui19/
Deadline for submissions: September 4, 2019
Response to authors: September 15, 2019
Camera ready submission deadline: September 20, 2019

*Workshop Objectives*

With the increasing use of automation, users tend to delegate more tasks to the machines. Such complex systems are usually developed with “black box” Artificial Intelligence (AI), which makes these systems difficult to understand for the user. This assumption is particularly true in the field of automated driving since the level of automation is constantly increasing via the use of state-of-the-art AI solutions. We believe it is important to investigate the field of Explainable AI (XAI) in the context of automated driving since interpretability and transparency are key factors for increasing trust and security. In this workshop, we aim at gathering researchers and industry practitioners from different fields to brainstorm about XAI with a special focus on Human-Vehicle Interaction. Questions like “what kind of explanation do we need”, “which is the best trade-off between performance and explainability” and “how granular should the explanations be” will be addressed in this workshop.

*Workshop Topics*

The workshop major topics comprehend, but are not limited to:
- Theoretical Approaches for Explainability
- Explainable and Transparent AI
- Human-centered XAI
- Interactive XAI
- Interpretable Machine Learning
- Human-AI interaction and collaboration
- Multimodal Interaction and Interaction Design
- Decision making in complex and real-time situations
- Fair, Accountable and Transparent algorithms to avoid AI bias


*How to join the workshop*

We invite researchers interested in XAI and HMI in the field of automated driving to submit position papers or preliminary results in the field.
Short papers between 3 and 6 pages long in the SIGCHI Extended Abstract template will be accepted (not including references and auxiliary information). They will be reviewed by the program committee based on their relevance to the topic and their pertinence to bring novel ideas in the field of XAI or HMI.
Please, send us your submission to the email address: explainableai.autoui19@gmail.com
We also invite all people interested in joining this workshop to send a statement of interest to the same email address. The statement of interest should specify your background, in particular your affiliation, position and previous experience with XAI and/or Human-Vehicle Interactions, and your personal reasons for attending the workshop.

*Workshop Activities*
The workshop will be structured in two parts. In the first part, participants who have an accepted paper will have the opportunity to present their work to other attendees. In the second part, participants will work in group for designing new concepts of interaction in future cars that could explain the behavior of AI to the driver or other road users such as pedestrians, based on a VR driving scenario for enhancing creativity.

*Organizers*
Quentin Meteier (University of Applied Sciences and Arts Western Switzerland)
Marine Capallera (University of Applied Sciences and Arts Western Switzerland)
Leonardo Angelini (University of Applied Sciences and Arts Western Switzerland)
Emmanuel de Salis (University of Applied Sciences and Arts Western Switzerland)
Stefano Carrino (University of Applied Sciences and Arts Western Switzerland)
Stéphane Galland (Université Bourgogne Franche-Comté)
Susanne Boll (University of Oldenburg)
Omar Abou Khaled (University of Applied Sciences and Arts Western Switzerland)
Elena Mugellini (University of Applied Sciences and Arts Western Switzerland)

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