TY  - CONF
TI  - Driving the Momentum Towards Adopting Wearable Cognitive Assistance in Lean Construction 4.0
C1  - Auckland, New Zealand
C3  - Proceedings of the 32nd Annual Conference of the International Group for Lean Construction (IGLC 32)
SP  - 1182
EP  - 1194
PY  - 2024
DO  - 10.24928/2024/0182
AU  - Eltahan, Amira
AU  - Shehab, Lynn
AU  - Hamzeh, Farook
AD  - Ph.D. Student, Hole School of Construction Engineering, University of Alberta, AB, Canada
AD  - Ph.D. Candidate, Hole School of Construction Engineering, University of Alberta, AB, Canada
AD  - Professor, Hole School of Construction Engineering, University of Alberta, AB, Canada
AB  - Despite the transformative potential of Wearable Cognitive Assistance Devices (WCADs), their integration into the construction industry remains limited, marked by challenges such as practicality and regulatory barriers. Additionally, the increasing interest in implementing Lean principles in construction for enhanced project performance creates a potential intersection. This study aims to bridge both concepts by developing a conceptual framework for the implementation of WCADs in construction tasks within the Lean Construction 4.0 paradigm. It first explores the current state of WCAD in various industries and proposes a WCAD implementation framework for construction. The framework employs a stepwise approach, and its theoretical implementation in masonry works illustrates its adaptability to specific construction contexts. This framework's contribution lies in its potential to offer dynamic, adaptive, and personalized support, optimizing cognitive functions, and promoting safer and more productive task execution. This framework utilizes wearable sensors as one it’s data collection methods; thereafter, the integration of the data collected will then provide users with near real-time feedback to mitigate risks and enhance workers performance. As a theoretical foundation, this research paves the way for practical validation and future enhancements, aiming to enhance the construction industry's approach to worker well-being and performance.
KW  - Lean Construction
KW  - Design Science
KW  - Continuous Improvement
KW  - Wearable Cognitive Assistance.
PB  - 
T2  - Proceedings of the 32nd Annual Conference of the International Group for Lean Construction (IGLC 32)
DA  - 2024/07/01
CY  - Auckland, New Zealand
L1  - http://iglc.net/Papers/Details/2269/pdf
L2  - http://iglc.net/Papers/Details/2269
N1  - Export Date: 05 April 2025
DB  - IGLC.net
DP  - IGLC
LA  - English
ER  -