An integrated approach to capture construction workers' response towards safety alarms using wearable sensors and virtual reality

Zhengbo Zou, Suzana Duran Bernardes, Abdullah Kurkcu, Semiha Ergan, Kaan Ozbay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Despite the continuous efforts from federal and state agencies to improve safety at traffic work zones, incidents continue to occur, resulting in 675 fatalities in the U.S. during the last decade. Current safety measures at work zones, such as visual and audible alarms are ineffective due to the lack of calibration studies to evaluate the attention span of workers towards alarms, given variances in the alarm modality, frequency and duration. This study proposes an integrated approach combining virtual reality (VR) and wearable sensors to capture data regarding workers' behaviors towards safety alarms when workers are exposed to simulated dangerous situations in VR. This dataset is needed to understand the relationships between workers' responses (i.e., react or dismiss) and the characteristics of the received alarms (i.e., modality, frequency, and duration). The proposed approach was implemented on an urban intersection from a real-world work zone in New York City for user studies.

Original languageEnglish (US)
Title of host publicationEG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
EditorsLucian-Constantin Ungureanu, Timo Hartmann
PublisherUniversitatsverlag der TU Berlin
Pages164-174
Number of pages11
ISBN (Electronic)9783798331556
StatePublished - 2020
Event27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020 - Virtual, Online, Germany
Duration: Jul 1 2020Jul 4 2020

Publication series

NameEG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings

Conference

Conference27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020
CountryGermany
CityVirtual, Online
Period7/1/207/4/20

ASJC Scopus subject areas

  • Computer Science Applications
  • Engineering(all)

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