Incidental visualizations:How complexity factors influence task performance  

作　　者：Joao Moreira Daniel Mendes Daniel Goncalves 

机构地区：[1]INESC-ID,Instituto Superior Técnico,Universidade de Lisboa,Lisboa,Portugal [2]INESC TEC,Faculdade de Engenharia,Universidade do Porto,Porto,Portugal

出　　处：《Visual Informatics》2024年第4期85-96,共12页可视信息学(英文)

基　　金：This work was supported by FCT,through grants:PTDC/CCI-CIF/28939/2017,UIDB/50021/2020,SFRH/BD/143496/2019。

摘　　要：Incidental visualizations convey information to a person during an ongoing primary task,without the person consciously searching for or requesting that information.They differ from glanceable visualizations by not being people’s main focus,and from ambient visualizations by not being embedded in the environment.Instead,they are presented as secondary information that can be observed without a person losing focus on their current task.However,despite extensive research on glanceable and ambient visualizations,the topic of incidental visualizations is yet a novel topic in current research.To bridge this gap,we conducted an empirical user study presenting participants with an incidental visualization while performing a primary task.We aimed to understand how complexity contributory factors—task complexity,output complexity,and pressure—affected primary task performance and incidental visualization accuracy.Our findings showed that incidental visualizations effectively conveyed information without disrupting the primary task,but working memory limitations should be considered.Additionally,output and pressure significantly influenced the primary task’s results.In conclusion,our study provides insights into the perception accuracy and performance impact of incidental visualizations in relation to complexity factors.

关 键 词：Incidental visualization Information visualization User study Task complexity 

分 类 号：R73[医药卫生—肿瘤]