Special session:

AI, Human-machine Collaboration and Applications

He Ye, Chongqing University, China, h1166@cqu.edu.cn

Leo Chen, Newcastle University, UK, leo.chen@ieee.org

Special session abstract

AI, Human-machine Collaboration and Applications are major concerns for the ongoing and future industrial development and human quality of life, especially in the era of Industry 4.0. In this session, we seek to gather original research and review papers on the application of intelligent technologies in smart wearable devices and human-machine collaboration. The submitted materials shall include original theory, experiment, numerical simulation, or case study to help understand the progress and innovation in this research field.

Special session keywords

AI, industry 4.0, Wearable Technology, Human-Machine Collaboration

Special session description

In this session, we aim to collect original research and review papers on the application of intelligent technologies in smart wearable devices and human-machine collaboration. Recent research in the field of Industry 4.0 and smart wearable devices has led to new approaches, resulting in a more positive impact on human-machine collaboration. The development and application of these technologies have also played a critical role in the transformation of smart manufacturing to more personalised and quantifiable. Human-factored design and human-machine interactions must be essential considerations to design effective systems. However, a major challenge in designing and controlling human-machine collaboration systems is effectively utilising motor assistance while maintaining natural, intuitive, smooth, and harmonious motion. To address this challenge, biomechatronic and user-centred design and control solutions are continuously evolving to improve portability, ergonomics, functionality and effectiveness, as well as acceptability and usability. Novel evaluation methods and protocols are also being developed to analyse human-machine interaction from robotic, biomechanical, and physiological perspectives.

As the complexity of human working and living environments increases, so does the amount of data generated and the number of influencing factors. This can lead to greater uncertainty in the control process, potentially leading to unexpected situations in human-machine collaboration, rehabilitation, or even human augmentation. New approaches are required to address these new challenges and enable systems to achieve superior performance in more complex environments. Artificial intelligence technology, especially deep learning, can uncover hidden knowledge and associations in feature extraction and has strong data adaptability in adaptation control. Recently, AI-based human intention recognition, analysis, prediction, and control have become a research hotspot and have been widely applied in human rehabilitation, enhancement, and human-machine collaboration.

This issue aims to collect original research and review articles on Intelligent/Smart Objects & Interaction, Intelligent/Smart Objects & Applications, Intelligent/Smart Systems & Services, and Personalisation and Social Aspects. The submitted materials shall include original theory, experiment, numerical simulation, or case study to help understand the progress and innovation in this research field.

Potential topics include but are not limited to the following:

Track 1: Intelligent/Smart Objects & Interaction

o AutoID technologies such as RFID/iBeacon

o Embedded Chips, Sensors, and Actuators

o MEMS, NEMS, Micro and Biometric Devices

o Wearable Devices & Embodied interaction

o Materials, Textiles, Fabrics, Furniture, etc.

o Embedded Software and Agents

o Interaction with Smart Objects and Devices

o Smart Object OS and Programming

o Novel Interaction Models for Smart Objects

o Self-explanatory Smart Objects

Track 2: Intelligent/Smart Objects & Applications

o Intelligent Traffic and Transportation

o Intelligent Energy Consumption

o Intelligent Environmental Protection

o Smart Healthcare and Active Assisted Living

o Smart Education and Learning

o Pervasive Games and Entertainment

o Smart Public Safety and Security

o Virtual Personal Assistants, Cognitive Expert

Track 3: Intelligent/Smart Systems & Services

o Sensor, Ad Hoc, and P2P Networks

o Wearable, Personal and Body Area Systems

o Smart Systems Programming Models

o Intelligent Services and Architectures

o Cognitive computing in ubiquitous systems

o Human Activity Recognition

o Adaptive, Autonomic & Context-aware Systems

o Autonomous Cars, Assistive Driving

o Big Data in Ubiquitous Systems

o Nature-inspired Intelligent Systems

o Knowledge Representation and Reasoning

o Chatbots, Cyborgs, Embodied Agents

Track 4: Personalisation and Social Aspects

o Social Computing and Crowd Computing

o Mobile Crowd Sensing and Sourcing

o Affect/Emotion/Personality/Mind Computing

o Location-Based Social Networks

o Human Mobility Modeling and Mining

o Human-Centred Computing

o Context-aware Computing

o Recommendation Systems for Ubiquitous Comp

o Human-centric Design & Sensing

o Socially Aware and Community-aware Systems

o Security, Privacy, Safety and Ethical & Legal Issues

The 20th IEEE Int’l Conf. on Ubiquitous Intelligence and Computing (UIC2023) is a high-ranking conference which will include a highly selective program of technical papers accompanied by workshops, demos, panel discussions and keynote speeches. We welcome high-quality papers that describe original and unpublished research advancing state of the art in ubiquitous intelligence and computing.

Paper Submission and Registration

https://ieee-smart-world-congress.org/program/uic2023