User-Centered Evaluation of Visual Analytics

User-Centered Evaluation of Visual Analytics
Author: Jean Scholtz
Publisher: Springer Nature
Total Pages: 71
Release: 2022-05-31
Genre: Mathematics
ISBN: 3031026055


Download User-Centered Evaluation of Visual Analytics Book in PDF, Epub and Kindle

Visual analytics has come a long way since its inception in 2005. The amount of data in the world today has increased significantly and experts in many domains are struggling to make sense of their data. Visual analytics is helping them conduct their analyses. While software developers have worked for many years to develop software that helps users do their tasks, this task is becoming more and more onerous, as understanding the needs and data used by expert users requires more than some simple usability testing during the development process. The need for a user-centered evaluation process was envisioned in Illuminating the Path, the seminal work on visual analytics by James Thomas and Kristin Cook in 2005. We have learned over the intervening years that not only will user-centered evaluation help software developers to turn out products that have more utility, the evaluation efforts can also help point out the direction for future research efforts. This book describes the efforts that go into analysis, including critical thinking, sensemaking, and various analytics techniques learned from the intelligence community. Support for these components is needed in order to provide the most utility for the expert users. There are a good number of techniques for evaluating software that hasbeen developed within the human-computer interaction (HCI) community. While some of these techniques can be used as is, others require modifications. These too are described in the book. An essential point to stress is that the users of the domains for which visual analytics tools are being designed need to be involved in the process. The work they do and the obstacles in their current processes need to be understood in order to determine both the types of evaluations needed and the metrics to use in these evaluations. At this point in time, very few published efforts describe more than informal evaluations. The purpose of this book is to help readers understand the need for more user-centered evaluations to drive both better-designed products and to define areas for future research. Hopefully readers will view this work as an exciting and creative effort and will join the community involved in these efforts.


User-Centered Evaluation of Visual Analytics
Language: en
Pages: 71
Authors: Jean Scholtz
Categories: Mathematics
Type: BOOK - Published: 2022-05-31 - Publisher: Springer Nature

GET EBOOK

Visual analytics has come a long way since its inception in 2005. The amount of data in the world today has increased significantly and experts in many domains
User-Centered Evaluation of Visual Analytics
Language: en
Pages: 85
Authors: Jean Scholtz
Categories: Computers
Type: BOOK - Published: 2017-10-06 - Publisher: Morgan & Claypool Publishers

GET EBOOK

Visual analytics has come a long way since its inception in 2005. The amount of data in the world today has increased significantly and experts in many domains
Expanding the Frontiers of Visual Analytics and Visualization
Language: en
Pages: 555
Authors: John Dill
Categories: Computers
Type: BOOK - Published: 2012-04-17 - Publisher: Springer Science & Business Media

GET EBOOK

The field of computer graphics combines display hardware, software, and interactive techniques in order to display and interact with data generated by applicati
Visual Analysis of Multilayer Networks
Language: en
Pages: 134
Authors: Fintan McGee
Categories: Mathematics
Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature

GET EBOOK

The emergence of multilayer networks as a concept from the field of complex systems provides many new opportunities for the visualization of network complexity,
Data Science and Visual Computing
Language: en
Pages: 122
Authors: Rae Earnshaw
Categories: Computers
Type: BOOK - Published: 2019-08-30 - Publisher: Springer Nature

GET EBOOK

Data science addresses the need to extract knowledge and information from data volumes, often from real-time sources in a wide variety of disciplines such as as