Deep vision shield: Assessing the use of HMD and wearable sensors in a smart safety device

Sara Colombo; Yihyun Lim; Federico Casalegno

doi:10.1145/3316782.3322754

Deep vision shield: Assessing the use of HMD and wearable sensors in a smart safety device

Sara Colombo
, Yihyun Lim
, Federico Casalegno

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

23 Citations (Scopus)

Abstract

Miniaturized and wearable technologies have the potential to augment human senses and capabilities when embedded into everyday objects. We investigate how such technologies can impact workers' health and safety in the energy industry through the design, prototyping and evaluation of a smart safety device. Deep Vision Shield is a protective helmet that embeds gas and noise sensors, head-mounted display and communication systems. The prototype has been evaluated through a user study involving 13 workers in the energy industry. We collected feedback about improved functionalities, user experience, and ergonomics of the proposed system, as well as the risks connected to the use of such technologies in the field of health and safety, such as overconfidence, loss of human skills, and distraction. Overall, the device was assessed very positively, although the need to balance advantages and potential risks stemming from the adoption of new technologies emerged as an essential element to consider while developing similar solutions.

Original language	English
Title of host publication	Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019
Publisher	Association for Computing Machinery, Inc.
Pages	402-410
Number of pages	9
ISBN (Electronic)	9781450362320
DOIs	https://doi.org/10.1145/3316782.3322754
Publication status	Published - 5 Jun 2019
Externally published	Yes
Event	12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019 - Rhodes, Greece Duration: 5 Jun 2019 → 7 Jun 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019
Country/Territory	Greece
City	Rhodes
Period	5/06/19 → 7/06/19

Bibliographical note

Funding Information:
The MIT Design Lab has a long-term research collaboration with Eni, within the MIT Energy Initiative, to advance knowledge and foster technological innovation. Our biggest thanks to the Eni ICT and Health, Safety, Environment and Quality Departments, for the great collaboration and for supporting the development of the Deep Vision Shield project. The Deep Vision Shield prototype was made possible by the effort of the MIT Design Lab members who contributed to designing, building and testing it: Marius Hölter and Kacper Pietrzykowski (design and prototyping) Tim Robinson and Joshua Gyllinsky (embedded electronics and software development), Bin Xu (video making), Filippo Zambrelli and Francesco Isgrò (interviews support).

Publisher Copyright:
© 2019 Association for Computing Machinery.

Funding

The MIT Design Lab has a long-term research collaboration with Eni, within the MIT Energy Initiative, to advance knowledge and foster technological innovation. Our biggest thanks to the Eni ICT and Health, Safety, Environment and Quality Departments, for the great collaboration and for supporting the development of the Deep Vision Shield project. The Deep Vision Shield prototype was made possible by the effort of the MIT Design Lab members who contributed to designing, building and testing it: Marius Hölter and Kacper Pietrzykowski (design and prototyping) Tim Robinson and Joshua Gyllinsky (embedded electronics and software development), Bin Xu (video making), Filippo Zambrelli and Francesco Isgrò (interviews support).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Energy Industry
Head-mounted Display
Health and Safety
Personal Protective Equipment
Safety Helmet
Smart Safety Devices
User Experience
Wearable Sensors

Access to Document

10.1145/3316782.3322754

Cite this

Colombo, S., Lim, Y., & Casalegno, F. (2019). Deep vision shield: Assessing the use of HMD and wearable sensors in a smart safety device. In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019 (pp. 402-410). (ACM International Conference Proceeding Series). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3316782.3322754

Colombo, Sara ; Lim, Yihyun ; Casalegno, Federico. / Deep vision shield : Assessing the use of HMD and wearable sensors in a smart safety device. Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. Association for Computing Machinery, Inc., 2019. pp. 402-410 (ACM International Conference Proceeding Series).

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title = "Deep vision shield: Assessing the use of HMD and wearable sensors in a smart safety device",

abstract = "Miniaturized and wearable technologies have the potential to augment human senses and capabilities when embedded into everyday objects. We investigate how such technologies can impact workers' health and safety in the energy industry through the design, prototyping and evaluation of a smart safety device. Deep Vision Shield is a protective helmet that embeds gas and noise sensors, head-mounted display and communication systems. The prototype has been evaluated through a user study involving 13 workers in the energy industry. We collected feedback about improved functionalities, user experience, and ergonomics of the proposed system, as well as the risks connected to the use of such technologies in the field of health and safety, such as overconfidence, loss of human skills, and distraction. Overall, the device was assessed very positively, although the need to balance advantages and potential risks stemming from the adoption of new technologies emerged as an essential element to consider while developing similar solutions.",

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author = "Sara Colombo and Yihyun Lim and Federico Casalegno",

note = "Funding Information: The MIT Design Lab has a long-term research collaboration with Eni, within the MIT Energy Initiative, to advance knowledge and foster technological innovation. Our biggest thanks to the Eni ICT and Health, Safety, Environment and Quality Departments, for the great collaboration and for supporting the development of the Deep Vision Shield project. The Deep Vision Shield prototype was made possible by the effort of the MIT Design Lab members who contributed to designing, building and testing it: Marius H{\"o}lter and Kacper Pietrzykowski (design and prototyping) Tim Robinson and Joshua Gyllinsky (embedded electronics and software development), Bin Xu (video making), Filippo Zambrelli and Francesco Isgr{\`o} (interviews support). Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019 ; Conference date: 05-06-2019 Through 07-06-2019",

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Colombo, S, Lim, Y & Casalegno, F 2019, Deep vision shield: Assessing the use of HMD and wearable sensors in a smart safety device. in Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. ACM International Conference Proceeding Series, Association for Computing Machinery, Inc., pp. 402-410, 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019, Rhodes, Greece, 5/06/19. https://doi.org/10.1145/3316782.3322754

Deep vision shield: Assessing the use of HMD and wearable sensors in a smart safety device. / Colombo, Sara; Lim, Yihyun; Casalegno, Federico.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. Association for Computing Machinery, Inc., 2019. p. 402-410 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Casalegno, Federico

N1 - Funding Information: The MIT Design Lab has a long-term research collaboration with Eni, within the MIT Energy Initiative, to advance knowledge and foster technological innovation. Our biggest thanks to the Eni ICT and Health, Safety, Environment and Quality Departments, for the great collaboration and for supporting the development of the Deep Vision Shield project. The Deep Vision Shield prototype was made possible by the effort of the MIT Design Lab members who contributed to designing, building and testing it: Marius Hölter and Kacper Pietrzykowski (design and prototyping) Tim Robinson and Joshua Gyllinsky (embedded electronics and software development), Bin Xu (video making), Filippo Zambrelli and Francesco Isgrò (interviews support). Publisher Copyright: © 2019 Association for Computing Machinery.

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N2 - Miniaturized and wearable technologies have the potential to augment human senses and capabilities when embedded into everyday objects. We investigate how such technologies can impact workers' health and safety in the energy industry through the design, prototyping and evaluation of a smart safety device. Deep Vision Shield is a protective helmet that embeds gas and noise sensors, head-mounted display and communication systems. The prototype has been evaluated through a user study involving 13 workers in the energy industry. We collected feedback about improved functionalities, user experience, and ergonomics of the proposed system, as well as the risks connected to the use of such technologies in the field of health and safety, such as overconfidence, loss of human skills, and distraction. Overall, the device was assessed very positively, although the need to balance advantages and potential risks stemming from the adoption of new technologies emerged as an essential element to consider while developing similar solutions.

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KW - Head-mounted Display

KW - Health and Safety

KW - Personal Protective Equipment

KW - Safety Helmet

KW - Smart Safety Devices

KW - User Experience

KW - Wearable Sensors

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DO - 10.1145/3316782.3322754

M3 - Conference contribution

AN - SCOPUS:85069169364

T3 - ACM International Conference Proceeding Series

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ER -

Colombo S, Lim Y, Casalegno F. Deep vision shield: Assessing the use of HMD and wearable sensors in a smart safety device. In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. Association for Computing Machinery, Inc. 2019. p. 402-410. (ACM International Conference Proceeding Series). doi: 10.1145/3316782.3322754

Deep vision shield: Assessing the use of HMD and wearable sensors in a smart safety device

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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Cite this