Human-Computer Interaction

INTERACT 2015: Human-Computer Interaction – INTERACT 2015 pp 106-114

Flat Design vs Traditional Design: Comparative Experimental Study

  • Ivan Burmistrov
  • Tatiana Zlokazova
  • Anna Izmalkova
  • Anna Leonova
Conference paper

DOI: 10.1007/978-3-319-22668-2_10

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9297)
Cite this paper as:
Burmistrov I., Zlokazova T., Izmalkova A., Leonova A. (2015) Flat Design vs Traditional Design: Comparative Experimental Study. In: Abascal J., Barbosa S., Fetter M., Gross T., Palanque P., Winckler M. (eds) Human-Computer Interaction – INTERACT 2015. INTERACT 2015. Lecture Notes in Computer Science, vol 9297. Springer, Cham

Abstract

In the past few years flat user interface design has become the predominating visual style of operating systems, websites and mobile apps. Although flat design has been widely criticized by HCI and usability experts, empirical research on flat design is still scarce. We present the results of an experimental comparative study of visual search effectiveness on traditional and flat designs. The following types of visual search tasks were examined: (1) search for a target word in text; (2) search for a target icon in a matrix of icons; (3) search for clickable objects on webpages. Time and accuracy parameters of the visual search, as well as oculomotor activity, were measured. The results show that a search in flat text mode (compared with the traditional mode) is associated with higher cognitive load. A search for flat icons takes twice as long as for realistic icons and is also characterized by higher cognitive load. Identifying clickable objects on flat web pages requires more time and is characterised by a significantly greater number of errors. Our results suggest replacing the flat style user interfaces with interfaces based on the design principles developed over decades of research and practice of HCI and usability engineering.

Keywords

Flat design Usability Visual search Cognitive load Eye-tracking 

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Ivan Burmistrov
    • 1
    • 2
  • Tatiana Zlokazova
    • 1
  • Anna Izmalkova
    • 1
  • Anna Leonova
    • 1
  1. 1.Laboratory of Work PsychologyLomonosov Moscow State UniversityMoscowRussia
  2. 2.InterUX Usability Engineering StudioTallinnEstonia

Personalised recommendations