HFES Product Design Technical Group Webinar: Human-Machine Symbiosis in Data Visualization

4.5 (2 votes)

A tight coupling of humans and machines is often required to address many challenges in data visualization. In this talk, Dr. Leo Zhicheng Liu will present two threads of work that explore different configurations of human-machine symbiosis to effectively support analytic and design tasks. The first thread focuses on interactive analyses of event sequence data, where the machine automatically generates visual summaries of the data, and the user employs the visual summaries as overviews to guide analysis. The second thread focuses on visualization authoring and reuse through manipulable semantic components, where the user specifies desired designs, and the machine assists by performing data binding and example deconstruction. Based on these two threads, Dr. Liu will reflect on the lessons and principles to enhance human-machine symbiosis in data visualization.

Leo Zhicheng Liu

Kathryn Tippey (Moderator)

Senior Usability Designer

Philips

Kathryn Tippey, Ph.D., CPE, is a Senior Usability Designer at Philips. She works as part of their Usability Center of Excellence supporting usability researchers and designers in the end-to-end development process.

Key:

Complete
Failed
Available
Locked
Human-Machine Symbiosis in Data Visualization
08/23/2023 at 12:00 PM (EDT)  |  Recorded On: 08/24/2023
08/23/2023 at 12:00 PM (EDT)  |  Recorded On: 08/24/2023 A tight coupling of humans and machines is often required to address many challenges in data visualization. In this talk, Dr. Leo Zhicheng Liu will present two threads of work that explore different configurations of human-machine symbiosis to effectively support analytic and design tasks. The first thread focuses on interactive analyses of event sequence data, where the machine automatically generates visual summaries of the data, and the user employs the visual summaries as overviews to guide analysis. The second thread focuses on visualization authoring and reuse through manipulable semantic components, where the user specifies desired designs, and the machine assists by performing data binding and example deconstruction. Based on these two threads, Dr. Liu will reflect on the lessons and principles to enhance human-machine symbiosis in data visualization.