Imperial College London
Portrait Picture

ProfessorArnabMajumdar

Faculty of Engineering, Department of Civil and Environmental Engineering

Professor of Transport Risk and Safety
 
 
 
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Contact

 

+44 (0)20 7594 6037a.majumdar

 
 
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Assistant

 

Ms Maya Mistry +44 (0)20 7594 6100

 
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Location

 

604Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Shipman:2023:10.1016/j.ijdrr.2022.103502,
author = {Shipman, A and Dezecache, G and Majumdar, A},
doi = {10.1016/j.ijdrr.2022.103502},
journal = {International Journal of Disaster Risk Reduction},
pages = {1--10},
title = {A quantification of the reliability of self-reports following a simulated stressful event},
url = {http://dx.doi.org/10.1016/j.ijdrr.2022.103502},
volume = {86},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Interviews and surveys are the most commonly used data-gathering and data-generating techniques when investigating human behaviour in emergencies. However, these approaches suffer from several limitations, including potential errors in memory accuracy, a lack of quantitative reliability. This study focuses on a survey performed on participants who had taken part in a stressful experiment. The survey was carried out three months afterwards, asking them to recall their experience. Analysis of this data quantitatively assesses their recall, across multiple different domains. This study observed several differences between experimental and control group participants, as well as differences between participants in VR and Physical experimental groups. However, it observes no increase in confabulation as a result of increased stress. The outcome of this study is to provide insight into the quantitative reliability of interviews and surveys of people involved in emergencies.
AU  - Shipman,A
AU  - Dezecache,G
AU  - Majumdar,A
DO  - 10.1016/j.ijdrr.2022.103502
EP  - 10
PY  - 2023///
SN  - 2212-4209
SP  - 1
TI  - A quantification of the reliability of self-reports following a simulated stressful event
T2  - International Journal of Disaster Risk Reduction
UR  - http://dx.doi.org/10.1016/j.ijdrr.2022.103502
UR  - https://www.sciencedirect.com/science/article/pii/S221242092200721X?via%3Dihub
UR  - http://hdl.handle.net/10044/1/101452
VL  - 86
ER  -
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