TY - GEN
T1 - The impact of engineering information complexity on working memory development of construction workers
T2 - Construction Research Congress 2020 (CRC 2020)
AU - Shi, Yangming
AU - Zheng, Yingfei
AU - Du, Jing
AU - Zhu, Qi
AU - Liu, Xin
PY - 2020
Y1 - 2020
N2 - Owing to the increasing complexity of construction tasks and operations performed in confined workplaces, workers rely progressively on working memory, i.e., the short-term and temporary storage of information pertaining to near future events, to ensure the seamless execution of construction tasks. Although literature has discovered a strong relationship between engineering information formats and the quality of working memory, there is still a clear theoretical disagreement on the implications of the complexity of engineering information in the development of working memory. This study addresses the knowledge gap with a human-subject experiment (n=60). Participants were required to review one of the two instructions for a pipe maintenance task: a simple 2D isometric drawing with bulletins (2D-simple) and a complex 2D isometric drawing with rich text (2D-complex). After the review session, the participants were asked to perform the pipe maintenance task in a virtual reality (VR) environment. Collected data include participants' task performance (accuracy and time), pupillary dilations, and gaze movements. The results show that the 2D-simple group outperformed the 2D-complex group in terms of both accuracy and time. An attention pattern analysis using approximate entropy (ApEn) of gaze movements suggests that a higher ApEn in the vertical axis, i.e., a more irregular and complex gaze movement between instructions, may result in a more efficient use of working memory and thus contributes to a better performance. This study provides preliminary evidence regarding the impact of engineering information complexity on the working memory development of construction workers.
AB - Owing to the increasing complexity of construction tasks and operations performed in confined workplaces, workers rely progressively on working memory, i.e., the short-term and temporary storage of information pertaining to near future events, to ensure the seamless execution of construction tasks. Although literature has discovered a strong relationship between engineering information formats and the quality of working memory, there is still a clear theoretical disagreement on the implications of the complexity of engineering information in the development of working memory. This study addresses the knowledge gap with a human-subject experiment (n=60). Participants were required to review one of the two instructions for a pipe maintenance task: a simple 2D isometric drawing with bulletins (2D-simple) and a complex 2D isometric drawing with rich text (2D-complex). After the review session, the participants were asked to perform the pipe maintenance task in a virtual reality (VR) environment. Collected data include participants' task performance (accuracy and time), pupillary dilations, and gaze movements. The results show that the 2D-simple group outperformed the 2D-complex group in terms of both accuracy and time. An attention pattern analysis using approximate entropy (ApEn) of gaze movements suggests that a higher ApEn in the vertical axis, i.e., a more irregular and complex gaze movement between instructions, may result in a more efficient use of working memory and thus contributes to a better performance. This study provides preliminary evidence regarding the impact of engineering information complexity on the working memory development of construction workers.
UR - https://www.scopus.com/pages/publications/85096932299
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85096932299&origin=recordpage
U2 - 10.1061/9780784482858.011
DO - 10.1061/9780784482858.011
M3 - RGC 32 - Refereed conference paper (with host publication)
T3 - Construction Research Congress
SP - 89
EP - 98
BT - Construction Research Congress 2020
A2 - Asmar, Mounir El
A2 - Tang, Pingbo
A2 - Grau, David
PB - American Society of Civil Engineers
Y2 - 8 March 2020 through 10 March 2020
ER -