A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Using Functional Near-Infrared Spectroscopy (fNIRS) to Evaluate the Construction Decision Making Inventory (CDMI)
Decision-making in the construction industry is extremely important as it impacts the safety, quality, time, and cost of the ever-increasing project complexity. Understanding an individual’s decision-making offers an opportunity to improve both learning and performance in the construction industry. To this effect, a psychometric instrument was developed named “Construction Decision Making Inventory (CDMI).” The CDMI characterizes an individual’s decision-making through a set of questions. This research study focuses on developing a framework to collect, analyze, and benchmark brain activities during the validation of the CDMI on measuring “How” individuals make decisions. The proposed framework is grounded on a mix-designed research methodology following the Human Subject Research protocol of two Texas universities. The framework includes measuring the brain activity of a group of participants while completing a face value validation of the CDMI. The framework includes: (1) Consent information, (2) Set-up of the functional near-infrared spectroscopy (fNIRS) to measure brain activity, (3) Stroop Test (Congruent and Incongruent), (4) Relaxation period, and (5) CDMI face value validation. The data collected from both the fNIRS and the CDMI face value validation instrument are then statistically correlated using a timestamp. Additionally, Rational-Experiential Inventory (REI) fNIRS data are included in the statistical correlation to validate the results. The results of this study are innovative and important as it provides the first insight into using fNIRS brain activity measurements to validate a psychometric instrument (such as the CDMI) to provide some light into “How” future construction professionals make decisions.
Using Functional Near-Infrared Spectroscopy (fNIRS) to Evaluate the Construction Decision Making Inventory (CDMI)
Decision-making in the construction industry is extremely important as it impacts the safety, quality, time, and cost of the ever-increasing project complexity. Understanding an individual’s decision-making offers an opportunity to improve both learning and performance in the construction industry. To this effect, a psychometric instrument was developed named “Construction Decision Making Inventory (CDMI).” The CDMI characterizes an individual’s decision-making through a set of questions. This research study focuses on developing a framework to collect, analyze, and benchmark brain activities during the validation of the CDMI on measuring “How” individuals make decisions. The proposed framework is grounded on a mix-designed research methodology following the Human Subject Research protocol of two Texas universities. The framework includes measuring the brain activity of a group of participants while completing a face value validation of the CDMI. The framework includes: (1) Consent information, (2) Set-up of the functional near-infrared spectroscopy (fNIRS) to measure brain activity, (3) Stroop Test (Congruent and Incongruent), (4) Relaxation period, and (5) CDMI face value validation. The data collected from both the fNIRS and the CDMI face value validation instrument are then statistically correlated using a timestamp. Additionally, Rational-Experiential Inventory (REI) fNIRS data are included in the statistical correlation to validate the results. The results of this study are innovative and important as it provides the first insight into using fNIRS brain activity measurements to validate a psychometric instrument (such as the CDMI) to provide some light into “How” future construction professionals make decisions.
Using Functional Near-Infrared Spectroscopy (fNIRS) to Evaluate the Construction Decision Making Inventory (CDMI)
Sulbaran, Tulio (author) / Kisi, Krishna P. (author)
Construction Research Congress 2022 ; 2022 ; Arlington, Virginia
Construction Research Congress 2022 ; 874-882
2022-03-07
Conference paper
Electronic Resource
English
Functional Brain Imaging of Train Driver by Functional Near-Infrared Spectroscopy (FNIRS)
| British Library Conference Proceedings | 2006