Webpage aesthetics, performance and usability: design variables and their effects.

Area of Science:

• Human-Computer Interaction
• Web Design & Usability
• Information Science

Background:

• Understanding user perception of webpages is key to effective design.
• Existing research often focuses on individual design elements rather than clustered impacts.
• A gap exists in integrating global construct analysis with controlled experimentation for ergonomic interface research.

Purpose of the Study:

• To identify clusters of webpage design variables influencing perceived usability.
• To examine how webpage design variables affect overall webpage performance.
• To quantify user aesthetic preference and interaction efficiency based on design factors.

Main Methods:

• Content analysis of literature and structured interviews to identify 57 design variables and 10 clusters.
• Balanced incomplete block user survey administration and cluster analysis.
• Three experiments quantifying user aesthetic preference, ease of interaction, and speed based on loading speed, imagery, typography, and layout.

Main Results:

• User performance alone is insufficient to predict aesthetic judgment or webpage effectiveness.
• Five clusters of design variables significantly impact user perception and interaction.
• Both technical performance (e.g., loading speed) and aesthetic factors (e.g., color, layout) are vital for webpage design.

Conclusions:

• Integrating global construct analysis with local controlled experimentation enhances ergonomic interface research.
• Webpage design requires a holistic approach considering both technical and aesthetic dimensions.
• The identified clusters and variables provide a framework for optimizing webpage design for user satisfaction and performance.