International Workshop on Affective Interaction between Humans and Machines in Multicultural Society (IWAM2022)

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.

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Annoucement:

• [18/04/2022] As an extension of IWAM2022, we are glad to annouce the special session on Next Generation of Affective Computing (NGAC) at KSE2022: https://kse2022.tbd.edu.vn/call-for-special-session-next-generation-of-affective-computing-ngac/
• [18/04/2022] Download the summary report of the event in this link Summary_Report_IWAM2022.pdf
• [30/03/2022] Download the Abstract Book in this link Abstract-Book_IWAM-2022_v3.pdf
• [27/03/2022] Download the event background for WebEx meeting bg_webex_iwam2022.png
• Due to the COVID-19 situation, this workshop is organized in ONLINE format. The online meeting details can be found in the Access section

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

• Click to access WebEx link

or https://jaist.webex.com/jaist/j.php?MTID=mb2de61f212e0fd2d597b7c07ec7c5da7

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