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MLHMI 2020 : 2nd International Conference on Machine Learning and Human-Computer Interaction

Singapore
Event Date: Mar 19, 2021 - Mar 21, 2021
Submission Deadline: Nov 05, 2020
Notification of Acceptance: Nov 30, 2020

About

2nd International Conference on Machine Learning and Human-Computer Interaction aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Machine Learning and Human-Computer Interaction. MLHMI 2021 is the workshop of IVSP 2021 and it will be held in Singapore during March 19-21, 2021 together with the main conference.  Welcome scholars and researchers working in the field of Machine Learning and Human-Computer Interaction from all over the world to attend the conference and share your experiences and lessons with other enthusiasts, and develop opportunities for cooperation.

Call For Paper

You are kindly encouraged to contribute to and help shape the conference through submissions of your research abstracts and papers to MLHMI 2020 conference. Topics of interest for submission include, but are not limited to:

  • 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

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