Introduction

The international Workshop on Affective Interaction between Humans and Machines in Multicultural Society (IWAM) is a kick-off workshop gathering researchers from Japan Advanced Institute of Science and Technology (JAIST, Japan), Kanazawa University (KU, Japan), Ho Chi Minh City University of Education (HCMUE, Vietnam), Mahidol University (MU, Thailand) for knowledge exchange and discussion across the research fields, aiming to establish a unified human-machine interaction framework to understand the emotional expressions of people from different cultural backgrounds by the multidisciplinary combination of computer vision, machine learning, psychology, and information security methods.

Annoucement:

Opening/Closing Speakers

  • Hiroyuki Iida

    Vice President, JAIST, Japan

  • Jackrit Suthakorn

    Dean of Faculty Engineering, Mahidol University, Thailand

  • Bui Tran Quynh Ngoc

    Vice President, Ho Chi Minh City University of Education, Vietnam

  • Pham Nguyen Thanh Vinh

    Head of International Coorperation Office, Ho Chi Minh City University of Education, Vietnam

  • Hung Viet Nguyen

    Dean of Faculty of Information Technologies, Ho Chi Minh City University of Education, Vietnam

Invited Speakers

Students

Schedule

Timetable

Thailand & Vietnam Time Japan Time Program
8:30-9:00 10:30-11:00 Registration & Reception
9:00-10:00 11:00-12:00 Opening Ceremony
Welcome Speech #1
Hiroyuki Iida (Vice President)
JAIST, Japan
Welcome Speech #2
Bui Tran Quynh Ngoc (Vice President) and
Pham Nguyen Thanh Vinh (Head of International Section)
Ho Chi Minh City University of Education, Vietnam
Welcome Speech #3
Jackrit Suthakorn (Dean of Faculty of Engineering)
Mahidol University, Thailand
Briefing session of workshop and introduction of joint international collaboration
Prarinya Siritanawan
JAIST, Japan
10:00-10:20 12:00-12:20 Invited Talk #1
Thailand Mental Health Technology and Innovation Center
Konlakorn Wongpatikaseree, Mahidol University, Thailand
10:20-10:40 12:20-12:40 Invited Talk #2
Applying deep learning for HSCode classification
Hai Tran, Ho Chi Minh City University of Education (HCMUE), and NTT Institute of International Education (NIIE), Vietnam
10:40-11:40 12:40-13:40 Lunch Break
11:40-12:55 13:40-14:55 Student session (5 students)
Presentation time: 10 min. + QA 5 min.
Moderator: Teeradaj Racharak, JAIST, Japan
    Compound Facial Expressions Generation with Arithmetical Features Space
Win Shwe Sin Khine, JAIST, Japan
A Learner Engagement Estimation and Support System Using PC Built-in Camera
Xianwen Zheng, JAIST, Japan
Robust feature for Facial Expression Recognition (FER) systems
Sukrit Jaidee, Thailand Mental Health Technology and Innovation Center (MH), Mahidol University, Thailand
Thai Speech Emotion Recognition: A New Challenge for Thai Speech Processing
Sattaya Singkul, Thailand Mental Health Technology and Innovation Center (MH), Mahidol University, Thailand
A Model for Detecting Accounting Frauds by using Machine Learning
Minh Nguyen Hoang, Ho Chi Minh City University of Education, Vietnam
13:00-13:20 15:00-15:20 Invited Talk #3
Sensitivity of emotional faces and its relation to observer’s trait
Haruyuki Kojima, Kanazawa University, Japan
13:20-13:40 15:20-15:40 Invited Talk #4
An Adaptive Engagement Support Robot Based on Behavior Update Model and Engagement Estimation
Shinobu Hasegawa, JAIST, Japan
13:40-14:00 15:40-16:00 Closing Session
    Discussion and Summary of the Workshop by organizer
Closing Speech
Hung Viet Nguyen
Dean of Faculty of Information Technologies
Ho Chi Minh City University of Education, Vietnam

Access

Online Meeting Details

Date
Wednesday, March 30, 2022
Time
11:00-16:00 Japan Time (UTC+09:00)
9:00-14:00 Vietnam & Thailand Time (UTC+07:00)
Meeting number
2518 950 3130
Password
VRbJBXs5x58

Please download the WebEx software in advance.

If you join by video system
Dial 25189503130@jaist.webex.com
You can also dial 210.4.202.4 and enter your meeting number.

The online session will be started 30 minutes before the workshop (as Registration and Reception).

Onsite Venue

The event will be hosted from the onsite venue at Collaboration room 7, I-56, School of Information Science, Japan Advanced Institute of Science and Technology (JAIST).

Participants are also very welcome to join the workshop onsite. However, due to the restriction over COVID-19 control, please contact the organizer Prarinya Siritanawan (prarinya[atmark]jaist.ac.jp) to confirm the seats availibility in advance.

Downloads

Download the Abstract Book (Updated: 30/3/2022) in this link Abstract-Book_IWAM-2022_v3.pdf

Download the Background for WebEx meeting bg_webex_iwam2022.png

Organization

Organizing Members

Prarinya Siritanawan (JAIST/Representative),
Kazunori Kotani (JAIST),
Shinobu Hasegawa (JAIST),
Teeradaj Racharak (JAIST),
Natthawut Kertkeidkachorn (JAIST),
Yuntao Wang (JAIST),
Haruyuki Kojima (KU),
Konlakorn Wongpatikaseree (MU),
Karin Sumongkayothin (MU),
Hung Viet Nguyen (HCMUE)