Categorisation of visualisation methods to support the design of Human-Computer Interaction Systems

Area of Science:

• Human-Computer Interaction (HCI)
• Design Science
• Information Visualization

Background:

• Visual artifacts are crucial in Human-Computer Interaction (HCI) system design, aiding thought externalization and stakeholder communication.
• Inappropriate visualization methods can impede the HCI design process, highlighting the need for effective selection strategies.

Purpose of the Study:

• To review and categorize visualization methods used in HCI system design.
• To identify and structure approaches for selecting appropriate visualization techniques.

Main Methods:

• A keyword search was conducted to identify current HCI design methods and selection approaches.
• Identified design methods were filtered to isolate visualization methods, which were then categorized based on identified selection approaches.

Main Results:

• Twenty-three distinct HCI visualization methods were identified.
• These methods were categorized into five distinct selection approaches: The Recipient, Primary Purpose, Visual Archetype, Interaction Type, and The Design Process.

Conclusions:

• A structured categorization of HCI visualization methods and their selection approaches is presented.
• This framework supports designers in choosing effective visualization techniques, thereby enhancing the HCI design process.