Attention and Information Acquisition: Comparison of Mouse-Click with Eye-Movement Attention Tracking

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Attention is crucial as a fundamental prerequisite for perception. The measurement of attention in viewing and recognizing the images that surround us constitutes an important part of eye movement research, particularly in advertising-effectiveness research. Recording eye and gaze (i.e. eye and head) movements is considered the standard procedure for measuring attention. However, alternative measurement methods have been developed in recent years, one of which is mouse-click attention tracking (mcAT) by means of an on-line based procedure that measures gaze motion via a mouse-click (i.e. a hand and finger positioning maneuver) on a computer screen.Here we compared the validity of mcAT with eye movement attention tracking (emAT). We recorded data in a between subject design via emAT and mcAT and analyzed and compared 20 subjects for correlations. The test stimuli consisted of 64 images that were assigned to eight categories. Our main results demonstrated a highly significant correlation (p<0.001) between mcAT and emAT data. We also found significant differences in correlations between different image categories. For simply structured pictures of humans or animals in particular, mcAT provided highly valid and more consistent results compared to emAT. We concluded that mcAT is a suitable method for measuring the attention we give to the images that surround us, such as photographs, graphics, art or digital and print advertisements.
Translated title of the contributionAufmerksamkeit und Informationserfassung: Vergleich des Mausklicks mit der Aufmerksamkeitsverfolgung von Augenbewegungen
Original languageEnglish
Article number4
JournalJournal of Eye Movement Research
Volume11
Issue number6
Number of pages27
ISSN1995-8692
DOIs
Publication statusPublished - 16.11.2018

    Research areas

  • Business psychology - Visual Attention, Information Acquisition, Mouse-Click Attention Tracking, Comparison of Attention Tracking, Visual Search, Scanpath

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