Incidental visualizations: How complexity factors influence task performance

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.

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Publication Details

Journal
Visual Informatics
Published
2024-11-05
DOI
https://doi.org/10.1016/j.visinf.2024.10.005
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

Incidental visualizations: How complexity factors influence task performance

Daniel Mendes, Daniel Gonçalves, João Moreira
Visual Informatics
Data Visualization and Analytics
article

Incidental visualizations: How complexity factors influence task performance

Daniel Mendes, Daniel Gonçalves, João Moreira
article en

Abstract

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.

Visual InformaticsVol. 8(4)
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento (PT), INESC TEC (PT)
Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 81%
Data Visualization and Analytics
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Incidental visualizations: How complexity factors influence task performance — Daniel Mendes, Daniel Gonçalves, et al. · Visual Informatics (2024) | TGRS Research Map | TGRS