Human Factors and Ergonomics for Human-Machine Interaction (HFE-HMI)


Humans are interacting on a daily basis with machines such as computers, smartphones, wearable technologies, smart household devices, semi-autonomous vehicles, etc. In several workplaces, humans are already interacting with intelligent and autonomous machines, such as robotic systems, autonomous production lines, Artificial Intelligence (AI)-based systems, telehealth technologies, etc. There is a growing interest in bringing robots into our homes and other industries (e.g., agriculture, health, search & rescue), automating our cars and public transportation, and improving traditional systems by utilizing AI (e.g., electric grid, medical imaging diagnosis, cybersecurity). All these systems will interact with humans either at home or their workplace. Human Factors and Ergonomics (HFE) are focused on understanding interactions between humans and other elements of a machine. The goal of the HFE is to optimize human well-being during Human-Machine Interaction (HMI) by utilizing theory, principles, and data. Additionally, Explainable AI methods have shown that machines that have the ability to explain their actions and communicate their intentions are capable of establishing efficient interactions and building trust between humans and machines.


This workshop will focus on the current advances in the area of human factors, ergonomics, human-machine interaction, system intelligence, explainable AI, and their applications. This workshop aims to bring together researchers from different disciplines, such as ergonomics, human factors engineering, cognitive psychology, human-centered computing, human-machine interaction, data analysis, and (Explainable) Artificial Intelligence (XAI), to share their experiences on these aspects and how they can be beneficial to human well-being during HMI. Papers are solicited on all areas directly related to these topics, including but not limited to the following research topics.

Topics of interest include, but are not limited to

  • Human Factors
  • Ergonomics
  • Cognitive Psychology
  • Autonomous Vehicles
  • Intelligent Systems
  • Explainable AI and Transparent Human-Machine Interaction
  • Human-Centered Systems
  • Human-Machine Interaction and Collaboration
  • Human-Robot and Human-Computer Interaction
  • Cyber-Human Systems
  • User Modeling: Personalization and Explainability
  • (Explainable) Artificial Intelligence (XAI) for Human Factors and Ergonomics
  • Machine/Deep Learning for Human-Centered Systems
  • Adaptive systems
  • Internet of Things
  • Industry 4.0
  • Smart Factories

Workshop Organizers

Dr. Maher Abujelala
Data Scientist at Exact Sciences Corporation

Dr. Ashwin Ramesh Babu
Researcher at Hewlett Packard Enterprise

Dr. Maria Kyrarini
Assistant Professor at the Department of Electrical and Computer Engineering at Santa Clara University

Dr. Akilesh Rajavenkatanarayanan
Researcher at General Motors

Dr. Konstantinos Tsiakas
Postdoctoral Researcher at Delft University of Technology