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MwE 2019 : Machines with Emotions (Affect Modeling, Evaluation, and Challenges in Intelligent Cars), in Conjunction with IROS 2019
MwE 2019 : Machines with Emotions (Affect Modeling, Evaluation, and Challenges in Intelligent Cars), in Conjunction with IROS 2019

MwE 2019 : Machines with Emotions (Affect Modeling, Evaluation, and Challenges in Intelligent Cars), in Conjunction with IROS 2019

Macao, China
Event Date: November 04, 2019 - November 04, 2019
Submission Deadline: July 31, 2019
Notification of Acceptance: September 01, 2019
Camera Ready Version Due: September 10, 2019




Call for Papers

Modeling the human behavior and integration of it into robots and intelligent systems lead to not only a better understanding and acceptance of those systems by users but also a considerable increase in adaptability and flexibility of the intelligent entity which is at service. Autonomous cars, by definition, are a unique type of service robots with a high level of complexity in their functions and services. Proactiveness and personalization, as the key aspects of comfort functions in the vehicle, along with the safety concerns in highly automated driving, require a good understanding of the current emotional status of the users and their intentions accordingly. Studying the human behavior in the cabin and its differences from other environments is the very first step in paving the road for further progress in this field and requires close coordination between the behavioral science, psychology and computer science besides automotive engineering.

Yet, developing generic models based on emotional behavior of the driver/passenger for emotion recognition systems is at its early stages. There is still a lack of proper fusion strategies for different modalities of data and sensory inputs in affect recognition which varies from use case to use case, altogether with the absence of the proper databases which are collected accordingly to study and train the AI-based functions. Meanwhile, defining the evaluation criteria for the systems which employ the emotional status of the user in the car seems to be a critical matter. This workshop aims to gather experts active in related scientific domains with the industry experts, dealing with the state-of-the-art technology in autonomous driving in order to shed a light on the currently existing challenges and their importance, with forming serious discussions. Our last but not least goal is to draw an outline for the close coordination of the research fields of robotics, humanoids, human-robot interaction, autonomous driving, emotion recognition, behavioral science, psychology, and affect recognition.

Paper and poster presentations are intended to stimulate discussions among workshop participants: reflections on the past, descriptions of current initiatives, visions of the future, and new results in affective computing research and practice are welcome. During the workshop, posters will be presented in poster sessions. We solicit short papers of 5-9 pages (Springer LNCS format) that must not have been published or be under review elsewhere. For each paper, a poster needs to be submitted as well.


== Important Dates ==

Full paper submission: 30 July 2019
Notification of acceptance: 1 September 2019
Camera-ready submission: 10 September 2019


== Publication ==

Submissions must conform to the Springer LNCS formatting guideline. Accepted submissions will be published in the CEUR Workshop Proceedings (CEUR-WS.org). Submissions will be reviewed by at least three members of the program committee.


== Organizers ==

- Sina Shafaei (TUM, DE)
- Alois Knoll (TUM, DE)
- Stefan Kugele (TUM, DE)
- Radoslaw Niewiadomski (CONTACT Unit, Istituto Italiano di Tecnologia, IT)
- Christoph Segler (BMW Group, DE)
- Morteza Hashemi Farzaneh (TUM, DE)
- Eda Cicek (TUM, DE)

== Keynote Speakers ==

- Martin Arend (BMW Group, DE)
- Shiro Kumano (NTT Communication Science Laboratories, JP)
- Bao-Liang Lu (Shanghai Jiao tong University, CN)
- Daniel McDuff (Microsoft, USA)
- Ana Maria Paiva (INESC-ID and IST, U Lisbon, PT)
- Soujanya Poria (SUTD, SG)
- Stefan Scherer (University of South California, USA)
- Björn Schuller (U Augsburg, DE; Imperial College London, UK)
- Midori Sugaya (Shibaura Institute of Technology, JP)
- Dongrui Wu (Huazhong University of Science and Technology, CN)
- Michael Würtenberger (BMW Group, DE)
- Bo Xiao (Amazon, USA)
- Zipping Zhao (Tianjin Normal University, CN)


== Program Committee ==


- Mehrdad Ashtiani (Iran University of Science and Technology, Iran)
- Stelios Asteriadis (Maastricht University, Netherlands)
- Tibor Bosse (Radboud University, Netherlands)
- Shaun Canavan (University of South Florida, USA)
- Antonia Conti-Kufner (Technical University of Munich, Germany)
- Rogerio Eduardo da Silva (University of Houston-Victoria, USA)
- Michael Dorr (Technical University of Munich, Germany)
- Neska El Haouij (MIT Media Lab, USA)
- Patrick Gebhard (DFKI, Germany)
- Moojan Ghafurian (University of Waterloo, Canada)
- David Antonio Gómez Jáuregu (The Institute of Advanced Industrial Technologies, France)
- Hatice Gunes (University of Cambridge, UK)
- Dirk Heylen (University of Twente, Netherlands)
- Öğr. Üyesi Heysem Kaya (Namik Kemal University, Turkey)
- Jonghwa Kim (Cheju Halla University, Korea)
- Iulia Lefter (Delft University of Technology, Netherlands)
- Marwa Mahmoud (University of Cambridge, UK)
- Maurizio Mancini (University of Genoa, Italy)
- Taniya Mishra (Affectiva, USA)
- Radoslaw Niewiadomski (Istituto Italiano di Tecnologia, Italy)
- Desmond Ong (National University of Singapore, Singapore)
- Cecilia Ovesdotter Alm (Rochester Institute of Technology, USA)
- Ioannis Thomas Pavlidis (University of Houston, USA)
- Alejandra Quiros-Ramirez (University of Konstanz, Germany)
- Nicolas Sabouret (University Paris-Sud, France)
- Mohammad Soleymani (University of Southern California, USA)
- Reinhard Stolle (Autonomous Intelligent Driving GmbH, Germany)
- Leimin Tian (Monash University, Australia)
- Hans-Jörg Vögel (BMW Group, Germany)
- Takashi Yamauchi (Texas A&M University, USA)
- Sicheng Zhao (UC Berkeley, USA)



Please visit the website of the workshop for more info.



Credits and Sources

[1] MwE 2019 : Machines with Emotions (Affect Modeling, Evaluation, and Challenges in Intelligent Cars), in Conjunction with IROS 2019


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