Quantitative modeling of user performance in multitasking environments

作者：

Highlights：

• An approach to quantify information and improve user performance in multitasking.

• User performance improved after the rearrangement of task weights for multitasks.

• Task difficulty is an effective method to manipulate mental demand in multitasking.

• Working memory capacity is an important predictor of user performance and workload.

摘要

•An approach to quantify information and improve user performance in multitasking.•User performance improved after the rearrangement of task weights for multitasks.•Task difficulty is an effective method to manipulate mental demand in multitasking.•Working memory capacity is an important predictor of user performance and workload.

论文关键词：Multitasking,Quantitative modeling,MATB-II,Working memory capacity,Task difficulty,Mental workload

论文评审过程：Received 20 October 2017, Revised 29 January 2018, Accepted 23 February 2018, Available online 25 February 2018, Version of Record 28 February 2018.

论文官网地址：https://doi.org/10.1016/j.chb.2018.02.035