[robotics-worldwide] [Meetings][CfP] International Workshop on "Machines with Emotions" in Conjunction with IROS 2019, Macao, China

Sina Shafaei shafaei at in.tum.de
Tue Jul 16 00:01:05 PDT 2019



*International workshop on "Machines with Emotions (MwE'19)", in 
conjunction with the 2019 IEEE/RSJ international conference on 
Intelligent Robots and Systems (IROS 2019)*

November 4, 2019 Macao, China

Call for Paper: 

Website: https://urldefense.proofpoint.com/v2/url?u=http-3A__machines-2Dwith-2Demotions.com_&d=DwIDaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=MsVQVzd-Cp3yF8m5J5xWprBN18VsxyYRcF7GjgjQf7w&s=5dO2fcfdGsdziQyGstJmgNIV7lSiRaMu-1qAuYFqjUE&e= 

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.

The main target group of this workshop are the scientists and 
researchers active in the fields of robotics, humanoids, human-robot 
interaction, autonomous driving, emotion recognition, behavioral 
science, psychology, and affect recognition. Developers and implementers 
from robotic and automotive industries are also invited to enhance the 
discussions on identifying the demands and requirements from industry 

The topics of interest include, but are not limited to the following:

 1. Affect Modeling
      * Emotion representation and modeling of humans
      * Modeling human behavior according to the emotional state
      * Embedding affective models in cars
      * Machine learning in human behavior modeling

 2. Multimodality
      * Multimodality in emotion recognition systems
      * Multimodal databases for affect recognition
      * Affective data acquisition technologies
      * Approaches to obtaining reliable ground truth and affective data
      * Approaches to annotating and mapping the expressive behavior to
        emotional states
      * Sensory data fusion methods and approaches for emotion
        recognition systems

 3. Application & Evaluation
      * Maintaining emotional awareness in autonomous cars
      * New benchmarks for measuring the accuracy of emotion recognition
      * Emotionally Intelligent Personal Assistants for self-driving cars
      * Preserving privacy in developing multimodal databases
      * Approaches to evaluating the robustness of the emotion
        recognition systems

Submissions will be reviewed by at least two members of the program 
committee and the accepted ones will be published in the CEUR workshop 
proceedings (CEUR-WS.org)


Type of the submission: *Short/Position Paper (5-9 pages Springer LNCS 

Important Dates:

Final submission date: *30th of July 2019*

Notification of acceptance date: *1st of September 2019*

Camera ready submission date: *10th of September 2019*

Paper submission is handled via EasyChair:



***************Confirmed Keynote Speakers**************

  * 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)

***************Organizing Committee**************

  * Sina Shafaei (TUM, DE)

  * Alois Knoll (TUM, DE)

  * Stefan Kugele (TUM, DE)

  * Radoslaw Niewiadomski (U Genoa, IT)

  * Christoph Segler (BMW Group, DE)

  * Morteza Hashemi Farzaneh (TUM, DE)

  * Eda Cicek (TUM, DE)


On behalf of the organizing committee

M.Sc. Sina Shafaei

Technische Universität München
Fakultät für Informatik
Lehrstuhl für Robotik, Künstliche Intelligenz & Echtzeitsysteme

Boltzmannstr. 3
85748 Garching bei München

Tel: +
Email:shafaei at in.tum.de


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