When cognitive fit outweighs cognitive load: Redundant data labels in charts increase accuracy and speed of information extraction

作者：

Highlights：

• Redundant data labels increase subjects' performance in information extraction.

• Performance gain is found for different task types (spatial and symbolic).

• Subjects consider charts with redundant labels as more efficient.

• Positive effect of cognitive fit outweighs expected increase in cognitive load.

• Visualization designers should consider redundant elements as possibly beneficial.

摘要

•Redundant data labels increase subjects' performance in information extraction.•Performance gain is found for different task types (spatial and symbolic).•Subjects consider charts with redundant labels as more efficient.•Positive effect of cognitive fit outweighs expected increase in cognitive load.•Visualization designers should consider redundant elements as possibly beneficial.

论文关键词：Information visualization,Redundancy,Data labels,Cognitive load theory,Cognitive fit theory,Cognitive processing

论文评审过程：Available online 28 April 2018, Version of Record 12 May 2018.

论文官网地址：https://doi.org/10.1016/j.chb.2018.04.037