The Practice of Visual Data Communication: What Works

2021 ◽  
Vol 22 (3) ◽  
pp. 97-109
Author(s):  
Jonathan Schwabish
Keyword(s):  
Data Communication ◽  
Visual Data ◽  
What Works

Admux: An Adaptive Multiplexer for Haptic–Audio–Visual Data Communication

2011 ◽  
Vol 60 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Mohamad Eid ◽  
Jongeun Cha ◽  
Abdulmotaleb El Saddik
Keyword(s):  
Data Communication ◽  
Visual Data

The Science of Visual Data Communication: What Works

2021 ◽  
Vol 22 (3) ◽  
pp. 110-161 ◽  
Author(s):  
Steven L. Franconeri ◽  
Lace M. Padilla ◽  
Priti Shah ◽  
Jeffrey M. Zacks ◽  
Jessica Hullman
Keyword(s):  
Public Policy ◽  
Working Memory ◽  
Science Education ◽  
Critical Role ◽  
Data Communication ◽  
What Works ◽  
Graphical Literacy ◽  
Visual Systems ◽  
Global Statistics ◽  
Data Visualizations

Effectively designed data visualizations allow viewers to use their powerful visual systems to understand patterns in data across science, education, health, and public policy. But ineffectively designed visualizations can cause confusion, misunderstanding, or even distrust—especially among viewers with low graphical literacy. We review research-backed guidelines for creating effective and intuitive visualizations oriented toward communicating data to students, coworkers, and the general public. We describe how the visual system can quickly extract broad statistics from a display, whereas poorly designed displays can lead to misperceptions and illusions. Extracting global statistics is fast, but comparing between subsets of values is slow. Effective graphics avoid taxing working memory, guide attention, and respect familiar conventions. Data visualizations can play a critical role in teaching and communication, provided that designers tailor those visualizations to their audience.

scholarly journals The Curse of Knowledge in Visual Data Communication

2020 ◽  
Vol 26 (10) ◽  
pp. 3051-3062 ◽  
Author(s):  
Cindy Xiong ◽  
Lisanne Van Weelden ◽  
Steven Franconeri
Keyword(s):  
Data Communication ◽  
Visual Data ◽  
Curse Of Knowledge

scholarly journals Adaptive Data Communication Interface: A User-Centric Visual Data Interpretation Framework

2015 ◽  
Author(s):  
Grazziela P. Figueredo ◽  
Christian Wagner ◽  
Jonathan M. Garibaldi ◽  
Uwe Aickelin
Keyword(s):  
Data Communication ◽  
Data Interpretation ◽  
Visual Data ◽  
Communication Interface ◽  
User Centric

Methods for Dealing with Dynamic Visual Data in Collaborative Applications - A Survey

2011 ◽  
pp. 333-350
Author(s):  
Binh Pham
Keyword(s):  
Real Time ◽  
Data Communication ◽  
Future Research ◽  
3D Graphics ◽  
Visual Data ◽  
Communication Costs ◽  
Multimedia Environment ◽  
Collaborative Applications ◽  
Interactive 3D

Many important collaborative applications require the sharing of dynamic visual data that are generated from interactive 3D graphics or imaging programs within a multimedia environment. These applications demand extensive computational and communication costs that cannot be supported by current bandwidth. Thus, suitable techniques have to be devised to allow flexible sharing of dynamic visual data and activities in real time. This chapter first discusses important issues that need to be addressed from four perspectives: functionality, data, communication and scalability. Current approaches for dealing with these problems are then discussed, and pertinent issues for future research are identified.

scholarly journals The Curse of Knowledge in Visual Data Communication

2019 ◽  
Author(s):  
Cindy Xiong ◽  
Lisanne van Weelden ◽  
Steven Franconeri
Keyword(s):  
Visual Perception ◽  
Data Communication ◽  
The State ◽  
Visual Salience ◽  
Visual Data ◽  
Psychological Phenomenon ◽  
Political Events ◽  
State Of Mind ◽  
Curse Of Knowledge

A viewer can extract many potential patterns from any set of visualized data values. But that means that two people can see different patterns in the same visualization, potentially leading to miscommunication. Here, we show that when people are primed to see one pattern in the data as visually salient, they believe that naïve viewers will experience the same visual salience. Participants were told one of multiple backstories about political events that affected public polling data, before viewing a graph that depicted those data. One pattern in the data was particularly visually salient to them given the backstory that they heard. They then predicted what naïve viewers would most visually salient on the visualization. They were strongly influenced by their own knowledge, despite explicit instructions to ignore it, predicting that others would find the same patterns to be most visually salient. This result reflects a psychological phenomenon known as the curse of knowledge, where an expert struggles to re-create the state of mind of a novice. The present findings show that the curse of knowledge also plagues the visual perception of data, explaining why people can fail to connect with audiences when they communicate patterns in data.

What Works?

ASHA Leader ◽  
2007 ◽  
Vol 12 (5) ◽  
pp. 10-10
Author(s):  
Wayne A. Secord
Keyword(s):  
What Works
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