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Area of Science:

  • Human-Computer Interaction
  • Web Design and User Experience
  • Data Science Applications

Background:

  • The proliferation of internet technology has increased online user engagement.
  • Visual elements are crucial for effective web content delivery and influencing user browsing behavior.
  • Big data analytics are increasingly applied to understand and optimize web design elements.

Purpose of the Study:

  • To analyze the composition and distribution of key visual elements based on user behavior data.
  • To investigate the impact of visual elements on user attention across different demographic groups.
  • To provide insights into the strategic use of visual elements in web design within the network economy.

Main Methods:

  • Analysis of user behavior data in a big data environment to identify key visual elements.
  • Distribution and composition analysis of identified visual elements.
  • Survey of 200 users across various occupations and educational backgrounds regarding attention to visual elements.

Main Results:

  • Visual elements significantly capture user attention, with variations observed across different professional and educational strata.
  • Corporate employees showed higher attention (41%) to visual elements compared to social welfare workers (1%).
  • Undergraduates (36%) paid more attention to visuals than postgraduates (5%) and doctoral degree holders (4%).

Conclusions:

  • Web page visual elements must be designed to align with the target audience's cultural and professional backgrounds.
  • Tailoring visual design to user demographics is essential for maximizing engagement and content conveyance.
  • The study underscores the importance of data-driven insights for effective visual element implementation in web design.