Augmented worker: Human-centered AI technologies for augmenting human capabilities in industry


Abstract

The fourth industrial revolution brings innovative tools and methods that will permit not only to make machines more autonomous and intelligent but they will also to create synergies between these machines and humans. In the spirit of Industry 4.0 human intelligence will be combined with machine endurance and computation power to optimize not only production but also decision-making processes. In such a context, complementarity between human workers and machines can be achieved with a better understanding of human needs. AI driven technologies will anticipate these needs and empower workers, will permit them to be liberated from tedious tasks allowing them thus to create added value and to concentrate their effort on the development of expert skills. Recent advances in motion sensing, data processing and machine learning are opening new perspectives for augmenting workers' performance. The possibility to collect human data with non-invasive sensors (e.g. wearables) and to analyze it by using AI permits to better monitor human behavior and to bring technological solutions that will make their work more efficient and comfortable.

This workshop will focus on such Human-Centered AI technologies that augment human capabilities. More precisely it will permit to present innovative works, methods and tools for the acquisition of human activity related data (worker’s motions/postures, his/her physical and/or emotional state e.g. level of fatigue or stress etc.) and on methods for the analysis of this data in order to monitor and detect any possible risky patterns such as ergonomic issues or procedural incidents (e.g. detecting oversights etc.). It will also cover the topic of interactive systems for assisting the task execution/ergonomy improvement by using different modalities and devices (multimodal feedback via tablets, wearables etc.) Finally, the use of AI by human operators create a hybrid workforce generating new technological, ethical, legal and social challenges. Consequently, more general studies for example on data management (creation of datasets, data accessibility etc.) are also welcome.


Goals

This workshop aims to attract an interdisciplinary group of researchers who are involved in research related to Human-Centered AI used to augment the capabilities of workers in industry. It will focus on novel methods and tools that permit to collect data, analyse it, model it and to interact/collaborate with the user. The researchers will present their work and receive feedback from their peers. As part of the larger theme of the PETRA conference, the participants will also have the opportunity to interact with top scientists working with pervasive assistive technologies to exchange valuable ideas that could advance the state-of-the-art in the field.


Topics of interest include, but are not limited to

  • Non-invasive human motion capturing and biosignal acquisition (computer vision, wearables, mobile sensing etc.)
  • Methods and tools for biosignal data analysis
  • Methods for continuous worker activity monitoring
  • Automatic detection of risky (ergonomy/procedural safety/security etc.) motion patterns
  • Real-time interactive systems for ergonomy/safety improvement
  • Augmented/mixed reality for workers training
  • Augmented/mixed reality for real-time assisting of complexe tasks execution
  • Worker’s data management studies (benchmarks etc.)

Workshop Organizers

Dr. Alina GLUSHKOVA
Mines ParisTech
Alina.glushkova@mines-paristech.fr

Dr. Sotiris Manitsaris
Mines ParisTech
Sotiris.manitsaris@mines-paristech.fr