Research Topic

The Workplace of the Future: How Current Technologies Will Transform our Offices, Services we Use and the Industrial Environment

About this Research Topic

In the last decade, workplaces have evolved towards digitization. Today we are moving towards new concepts of workplaces, and in the near future, people will work in digitally connected environments where natural human machine interaction and an agile access to data will be available.

Computer Vision, Augmented Reality, Cyber Physical Systems and Internet of Things, Human-Machine Interaction, Artificial Intelligence and Machine Learning will play central roles in the revolution that is transforming our workplaces, contributing to the creation of mixed working environments that bridge the digital and physical worlds. The outcome from the research in this new and evolving discipline will inspire the next generation of products and services for the workplace of the future.

A key challenge of future workplaces will be to automatically correlate visual information about the physical surroundings and objects – such as what the user sees on a paper document or on a medical chart, on a tablet screen– with digital knowledge contained in an underlying enterprise database. This integration will suggest and trigger the appropriate response depending on the context and needs of the user. There will also be benefits from the integration of multiple-sensor data enabled by the Internet of Things, smart data collected at the semantic layer and the needs of the unique user to create a seamless workflow of digital information. Moreover, shared virtual work-spaces will facilitate interaction, co-working, and information sharing among individuals who may be at widely separated physical locations. The enabling technologies are computer vision and augmented reality. Together with machine learning and data analytics algorithms these allow for the development of effective methods for scene understanding and activity recognition, the creation of virtual environments, combined with a focus on the user’s comfort and state of mind.

The aim of this Research Topic is to gather contributions from the industry and academics and to share recent advancements and new perspectives in those areas that will characterize the revolution of the workplace of the future.
Contributions on the following topics are welcome:
- Computer Vision methods for mixed reality: tracking, re-identification, pose estimation, scene understanding, object recognition, motion estimation, action recognition, multi-view registration and 3D reconstruction, ego vision techniques, shared virtual environments.
- Computer Vision for meeting monitoring: activity recognition, crowd analysis, face recognition, handwriting recognition.
- Machine learning models: deep learning and semi-supervised architectures for learning adaptive models from high dimensional data streams, heterogeneous data sources.
- Human-Machine Interaction: user experience evaluation, ergonomics, gesture understanding, affective computing, face and body expression analysis, emotion recognition.
- Devices for mixed reality: mobile devices, head-mounted displays, VR devices, RGBD sensors, smart environments and sensors, eye-tracking.
- Applications: digital workplaces, office environments, maintenance, security and visual based indoor navigation.
- Ubiquitous sensing networks: environmental and behavioral sensing, occupancy sensing and spatial utilization, indoor air quality and comfort metrics.
- Internet of things for building control: interface to HVAC and lighting systems, wireless networks for distributed controls, building behavior, artificial intelligence for energy saving and comfort optimization.


Keywords: Workplace of the Future, Computer Vision, Internet of Things - Environmental Sensing, Artificial Intelligence, Human Machine Interaction


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

In the last decade, workplaces have evolved towards digitization. Today we are moving towards new concepts of workplaces, and in the near future, people will work in digitally connected environments where natural human machine interaction and an agile access to data will be available.

Computer Vision, Augmented Reality, Cyber Physical Systems and Internet of Things, Human-Machine Interaction, Artificial Intelligence and Machine Learning will play central roles in the revolution that is transforming our workplaces, contributing to the creation of mixed working environments that bridge the digital and physical worlds. The outcome from the research in this new and evolving discipline will inspire the next generation of products and services for the workplace of the future.

A key challenge of future workplaces will be to automatically correlate visual information about the physical surroundings and objects – such as what the user sees on a paper document or on a medical chart, on a tablet screen– with digital knowledge contained in an underlying enterprise database. This integration will suggest and trigger the appropriate response depending on the context and needs of the user. There will also be benefits from the integration of multiple-sensor data enabled by the Internet of Things, smart data collected at the semantic layer and the needs of the unique user to create a seamless workflow of digital information. Moreover, shared virtual work-spaces will facilitate interaction, co-working, and information sharing among individuals who may be at widely separated physical locations. The enabling technologies are computer vision and augmented reality. Together with machine learning and data analytics algorithms these allow for the development of effective methods for scene understanding and activity recognition, the creation of virtual environments, combined with a focus on the user’s comfort and state of mind.

The aim of this Research Topic is to gather contributions from the industry and academics and to share recent advancements and new perspectives in those areas that will characterize the revolution of the workplace of the future.
Contributions on the following topics are welcome:
- Computer Vision methods for mixed reality: tracking, re-identification, pose estimation, scene understanding, object recognition, motion estimation, action recognition, multi-view registration and 3D reconstruction, ego vision techniques, shared virtual environments.
- Computer Vision for meeting monitoring: activity recognition, crowd analysis, face recognition, handwriting recognition.
- Machine learning models: deep learning and semi-supervised architectures for learning adaptive models from high dimensional data streams, heterogeneous data sources.
- Human-Machine Interaction: user experience evaluation, ergonomics, gesture understanding, affective computing, face and body expression analysis, emotion recognition.
- Devices for mixed reality: mobile devices, head-mounted displays, VR devices, RGBD sensors, smart environments and sensors, eye-tracking.
- Applications: digital workplaces, office environments, maintenance, security and visual based indoor navigation.
- Ubiquitous sensing networks: environmental and behavioral sensing, occupancy sensing and spatial utilization, indoor air quality and comfort metrics.
- Internet of things for building control: interface to HVAC and lighting systems, wireless networks for distributed controls, building behavior, artificial intelligence for energy saving and comfort optimization.


Keywords: Workplace of the Future, Computer Vision, Internet of Things - Environmental Sensing, Artificial Intelligence, Human Machine Interaction


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

28 September 2018 Manuscript
30 November 2018 Manuscript Extension

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

28 September 2018 Manuscript
30 November 2018 Manuscript Extension

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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