Understanding construction workers’ cognitive processes under risky scenarios through electroencephalography

Automation in Construction, Journal Year: 2024, Volume and Issue: 166, P. 105674 - 105674

Published: Aug. 7, 2024

The application of the Electroencephalogram (EEG) technology shows promises in uncovering workers' cognitive processes affecting safety performance construction. Despite increasing interest research, it is yet challenging to ensure coherence and mitigate biases when interpreting cognition from EEG data. This paper presents a comprehensive review applications construction categorising aims, methodologies, experiment design, data processing methods evaluation approaches. Furthermore, identifies several critical avenues for future including deeper exploration dynamics safety-critical environments, integration real-time monitoring, longitudinal analysis factors, cultural gender influences on practices, addressing special psychological conditions. emphasises importance considering ethical implications, user acceptability, practical deployment challenges. Overall, makes effort towards guiding effective research safer practices.

Language: Английский

---

Investigating the interplay of bottom-up and top-down attention in hazard recognition: Insights from immersive virtual reality, eye-tracking and electroencephalography

Safety Science, Journal Year: 2025, Volume and Issue: 187, P. 106841 - 106841

Published: March 12, 2025

Language: Английский

---

The Potential of Using Mobile Eye-Tracking in Construction Safety Research—Review

Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 45 - 53

Published: Jan. 1, 2025

Language: Английский

---

Time lag between visual attention and brain activity in construction fall hazard recognition

Automation in Construction, Journal Year: 2024, Volume and Issue: 168, P. 105751 - 105751

Published: Sept. 10, 2024

Language: Английский

---