International Conference on Machine Learning and Human-Computer Interaction on March 04-06, 2025 in Kawasaki, Japan

International Conference on Machine Learning and Human-Computer Interaction on March 04-06, 2025 in Kawasaki, Japan

MLHMI 2025 information:

1. MLHMI 2025 is Co-sponsored by Meji University, Japan and Sensors and Systems Society of Singapore (SSS).

2. Accepted papers will be published in MLHMI 2025 CPS Conference Proceedings, which will be submitted to IEEE Xplore, and be submitted for indexing to Ei Compendex, Scopus.

MLHMI conferences have been successfully held since 2020. And all the papers from MLHMI have been indexed in Ei Compendex, Scopus from 2020 to 2023. The proceedings of MLHMI 2024 will be published soon.

3. We have invited Prof. Xudong Jiang (IEEE Fellow) from Nanyang Technological University in Singapore and Prof. Tae-Kyun Kim from Korea Advanced Institute of Science and Technology in Korea to be our Keynote Speaker.

 

Conference Venue: 

Meiji University Ikuta campus, Kawasaki, Japan

Address: 1 Chome-1-1 Higashimita, Tama Ward, Kawasaki, Kanagawa 214-8571, Japan

 

Submission Methods:

ZMEETING system: https://www.zmeeting.org/submission/MLHMI2025

E-mail: [email protected]

Contact Methods:

E-mail: [email protected]

Conference Specialist: Ms. Jassica Yao

 

Machine learning methods

Learning and adaptive control

Learning/adaption of recognition and perception

Learning for Handwriting Recognition

Learning in Image Pre-Processing and Segmentation

Learning in process automation

Learning of appropriate behaviour

Learning of action patterns

Learning robots

User experience research, usability testing and interaction design

Mobile, ubiquitous and pervasive computing

Technology adoption, trust, user engagement and retention

Cognitive science in human-computer interaction

Humanization of interactive technology

eHealth, digital healthcare studies and usability of medical devices

Affective computing, digital empathy, empathic design, positive computing and emotional aspects in human computer interaction

Human-data interaction and interactive machine learning

Ethnographic studies in human computer interaction

Human-robot interaction studies

Name: ACMSC
Website: http://www.acm-sg.org/

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