TY - GEN
T1 - Cognitive load measurement and impact analysis on performance in dual-task situations
AU - He, Mingjun
AU - Guo, Jianbin
AU - Zeng, Shengkui
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/9/25
Y1 - 2020/9/25
N2 - Along with the development of automation technology, the focus on human-machine interaction has gradually shifted from physical interaction to cognitive interaction. Especially, the cognitive load measurement is important to pilots who are up against high mental stress and have a lot of information to deal with at short notice. Through designing and carrying out experiments in the scenario of flight state parameters monitoring and emergency handling, this study searched for indicators which were sensitive to cognitive load by one-way ANOVA (analysis of variance) and non-parametric test, and analyzed the influence of cognitive load on the sensitivity of measures and the influence of the secondary task on the performance of the primary task. The results showed that NASA-TLX, SWAT, PAAS, PRT, SRT, VLF Power, A++, B - , and Gyro were sensitive to cognitive load. The secondary task would lead to an increase in cognitive load, meanwhile, the sensitivity of NASA-TLX, SWAT, and PAAS would become lower. On the contrary, the sensitivity of A++ and B - were almost not affected by cognitive load. Besides, for dual task, the more difficult the primary task was, the more significant the impact of the secondary task on the performance of the primary task would be.
AB - Along with the development of automation technology, the focus on human-machine interaction has gradually shifted from physical interaction to cognitive interaction. Especially, the cognitive load measurement is important to pilots who are up against high mental stress and have a lot of information to deal with at short notice. Through designing and carrying out experiments in the scenario of flight state parameters monitoring and emergency handling, this study searched for indicators which were sensitive to cognitive load by one-way ANOVA (analysis of variance) and non-parametric test, and analyzed the influence of cognitive load on the sensitivity of measures and the influence of the secondary task on the performance of the primary task. The results showed that NASA-TLX, SWAT, PAAS, PRT, SRT, VLF Power, A++, B - , and Gyro were sensitive to cognitive load. The secondary task would lead to an increase in cognitive load, meanwhile, the sensitivity of NASA-TLX, SWAT, and PAAS would become lower. On the contrary, the sensitivity of A++ and B - were almost not affected by cognitive load. Besides, for dual task, the more difficult the primary task was, the more significant the impact of the secondary task on the performance of the primary task would be.
KW - Cognitive load
KW - Dual task
KW - Non-parametric test
KW - One-way ANOVA
KW - Task performance
UR - https://www.scopus.com/pages/publications/85097207839
U2 - 10.1145/3425329.3425388
DO - 10.1145/3425329.3425388
M3 - 会议稿件
AN - SCOPUS:85097207839
T3 - ACM International Conference Proceeding Series
SP - 303
EP - 307
BT - Proceedings of the 2020 2nd World Symposium on Software Engineering, WSSE 2020
PB - Association for Computing Machinery
T2 - 2nd World Symposium on Software Engineering, WSSE 2020
Y2 - 25 September 2020 through 27 September 2020
ER -