The Elephant in the Room: Expert Experiences Designing, Developing and Evaluating Data Visualizations on Large Displays

Large displays can provide the necessary space and resolution for comprehensive explorations of data visualizations. However, designing and developing visualizations for such displays pose distinct challenges. Identifying these challenges is essential for data visualization designers and developers creating data visualizations on large displays. In this study, we aim to identify the challenges designers and developers encounter when creating data visualizations for large displays. We conducted semi-structured interviews with 13 experts experienced in creating data visualizations for large displays and, through affinity diagramming, categorized the challenges. We identified several challenges in designing, developing, and evaluating data visualizations on large displays, as well as building infrastructure for large displays. Design challenges included scaling visual encodings, limited design tools, and adopting design guidelines for large displays. In the development phase, developers faced difficulties working away from large displays and dealing with insufficient tools and resources. During the evaluation phase, researchers encountered issues with individuals' unfamiliarity with large display technology, interaction interruptions by technical limitations such as cursor visibility issues, and limitations in feedback gathering. Infrastructure challenges involved environmental constraints, technical issues, and difficulties in relocating large display setups. We share the lessons learned from our study and provide future directions along with research project examples to address these challenges.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2024-10-24
DOI
https://doi.org/10.1145/3698139
Citations
1
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Elephant in the Room: Expert Experiences Designing, Developing and Evaluating Data Visualizations on Large Displays

Fateme Rajabiyazdi, Jillian Aurisano, Matthew Klich, Mahsa Sinaei Hamed et al.
1 citations
Proceedings of the ACM on Human-Computer Interaction
Data Visualization and Analytics
0.25
article

The Elephant in the Room: Expert Experiences Designing, Developing and Evaluating Data Visualizations on Large Displays

Fateme Rajabiyazdi, Jillian Aurisano, Matthew Klich, Mahsa Sinaei Hamed, Pak Kwan
article en
1 citations

Abstract

Large displays can provide the necessary space and resolution for comprehensive explorations of data visualizations. However, designing and developing visualizations for such displays pose distinct challenges. Identifying these challenges is essential for data visualization designers and developers creating data visualizations on large displays. In this study, we aim to identify the challenges designers and developers encounter when creating data visualizations for large displays. We conducted semi-structured interviews with 13 experts experienced in creating data visualizations for large displays and, through affinity diagramming, categorized the challenges. We identified several challenges in designing, developing, and evaluating data visualizations on large displays, as well as building infrastructure for large displays. Design challenges included scaling visual encodings, limited design tools, and adopting design guidelines for large displays. In the development phase, developers faced difficulties working away from large displays and dealing with insufficient tools and resources. During the evaluation phase, researchers encountered issues with individuals' unfamiliarity with large display technology, interaction interruptions by technical limitations such as cursor visibility issues, and limitations in feedback gathering. Infrastructure challenges involved environmental constraints, technical issues, and difficulties in relocating large display setups. We share the lessons learned from our study and provide future directions along with research project examples to address these challenges.

Proceedings of the ACM on Human-Computer InteractionVol. 8(ISS)
University of Cincinnati (US), Carleton University (CA)
Industry, innovation and infrastructure
Openalex Percentile: Top 46%
Data Visualization and Analytics
0.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.