Evaluation of signal processing methods for attention assessment in visual content interaction

Elafoudi, Georgia and Stankovic, Vladimir and Stankovic, Lina and Pappusetti, Deepti and Kalva, Hari; Murino, Vittorio and Puppo, Enrico and Sona, Diego and Cristani, Marco and Sansone, Carlo, eds. (2015) Evaluation of signal processing methods for attention assessment in visual content interaction. In: New Trends in Image Analysis and Processing - ICIAP 2015 Workshops. Lecture Notes in Computer Science, 9281 . Springer, ITA, pp. 580-588. ISBN 9783319232218

[img]
Preview
Text (Elafoudi-etal-LNCS2015-Evaluation-signal-processing-methods-attention-assessment-visual-content-interaction)
Elafoudi_etal_LNCS2015_Evaluation_signal_processing_methods_attention_assessment_visual_content_interaction.pdf
Accepted Author Manuscript

Download (2MB)| Preview

    Abstract

    Eye movements and changes in pupil dilation are known to provide information about viewer’s attention and interaction with visual content. This paper evaluates different statistical and signal processing methods for autonomously analysing pupil dilation signals and extracting information about viewer’s attention when perceiving visual information. In particular, using a commercial video-based eye tracker to estimate pupil dilation and gaze fixation, we demonstrate that wavelet-based signal processing provides an effective tool for pupil dilation analysis and discuss the effect that different image content has on pupil dilation and viewer’s attention.