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

Georgia Elafoudi; Vladimir Stankovic; Lina Stankovic; Deepti Pappusetti; Hari Kalva

doi:10.1007/978-3-319-23222-5_70

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

Georgia Elafoudi, Vladimir Stankovic, Lina Stankovic, Deepti Pappusetti, Hari Kalva

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

31 Downloads (Pure)

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.

Original language	English
Title of host publication	New Trends in Image Analysis and Processing - ICIAP 2015 Workshops
Subtitle of host publication	ICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings
Editors	Vittorio Murino, Enrico Puppo, Diego Sona, Marco Cristani, Carlo Sansone
Place of Publication	Cham
Publisher	Springer
Pages	580-588
Number of pages	9
Volume	9281
ISBN (Print)	9783319232218
DOIs	https://doi.org/10.1007/978-3-319-23222-5_70
Publication status	Published - 21 Aug 2015
Event	ICIAP QoEM Workshop - Italy, Genoa, Italy Duration: 8 Sept 2015 → 8 Sept 2015

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9281
ISSN (Print)	0302-9743

Workshop

Workshop	ICIAP QoEM Workshop
Country/Territory	Italy
City	Genoa
Period	8/09/15 → 8/09/15

Keywords

pattern recognition
artificial intelligence
computers and society

Access to Document

10.1007/978-3-319-23222-5_70

Elafoudi-etal-LNCS2015-Evaluation-signal-processing-methods-attention-assessment-visual-content-interactionAccepted author manuscript, 2.49 MB

QOSTREAM: QoSTREAM - Marie Curie
Stankovic, V. (Principal Investigator) & Stankovic, L. (Co-investigator)
European Commission - FP7 - General
1/02/12 → 31/01/16
Project: Research

Cite this

Elafoudi, G., Stankovic, V., Stankovic, L., Pappusetti, D., & Kalva, H. (2015). Evaluation of signal processing methods for attention assessment in visual content interaction. In V. Murino, E. Puppo, D. Sona, M. Cristani, & C. Sansone (Eds.), New Trends in Image Analysis and Processing - ICIAP 2015 Workshops: ICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings (Vol. 9281, pp. 580-588). (Lecture Notes in Computer Science; Vol. 9281). Springer. https://doi.org/10.1007/978-3-319-23222-5_70

Elafoudi, Georgia ; Stankovic, Vladimir ; Stankovic, Lina et al. / Evaluation of signal processing methods for attention assessment in visual content interaction. New Trends in Image Analysis and Processing - ICIAP 2015 Workshops: ICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings. editor / Vittorio Murino ; Enrico Puppo ; Diego Sona ; Marco Cristani ; Carlo Sansone. Vol. 9281 Cham : Springer, 2015. pp. 580-588 (Lecture Notes in Computer Science).

@inproceedings{c6c5c101cabd4c66a88377c8f052fb21,

title = "Evaluation of signal processing methods for attention assessment in visual content interaction",

abstract = "Eye movements and changes in pupil dilation are known to provide information about viewer{\textquoteright}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{\textquoteright}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{\textquoteright}s attention.",

keywords = "pattern recognition, artificial intelligence, computers and society",

author = "Georgia Elafoudi and Vladimir Stankovic and Lina Stankovic and Deepti Pappusetti and Hari Kalva",

year = "2015",

month = aug,

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doi = "10.1007/978-3-319-23222-5_70",

language = "English",

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volume = "9281",

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pages = "580--588",

editor = "Vittorio Murino and Enrico Puppo and Diego Sona and Marco Cristani and Carlo Sansone",

booktitle = "New Trends in Image Analysis and Processing - ICIAP 2015 Workshops",

note = "ICIAP QoEM Workshop ; Conference date: 08-09-2015 Through 08-09-2015",

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Elafoudi, G, Stankovic, V , Stankovic, L, Pappusetti, D & Kalva, H 2015, Evaluation of signal processing methods for attention assessment in visual content interaction. in V Murino, E Puppo, D Sona, M Cristani & C Sansone (eds), New Trends in Image Analysis and Processing - ICIAP 2015 Workshops: ICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings. vol. 9281, Lecture Notes in Computer Science, vol. 9281, Springer, Cham, pp. 580-588, ICIAP QoEM Workshop, Genoa, Italy, 8/09/15. https://doi.org/10.1007/978-3-319-23222-5_70

Evaluation of signal processing methods for attention assessment in visual content interaction. / Elafoudi, Georgia; Stankovic, Vladimir ; Stankovic, Lina et al.
New Trends in Image Analysis and Processing - ICIAP 2015 Workshops: ICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings. ed. / Vittorio Murino; Enrico Puppo; Diego Sona; Marco Cristani; Carlo Sansone. Vol. 9281 Cham: Springer, 2015. p. 580-588 (Lecture Notes in Computer Science; Vol. 9281).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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AB - 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.

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Elafoudi G, Stankovic V , Stankovic L, Pappusetti D, Kalva H. Evaluation of signal processing methods for attention assessment in visual content interaction. In Murino V, Puppo E, Sona D, Cristani M, Sansone C, editors, New Trends in Image Analysis and Processing - ICIAP 2015 Workshops: ICIAP 2015 International Workshops, BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM, Genoa, Italy, September 7-8, 2015, Proceedings. Vol. 9281. Cham: Springer. 2015. p. 580-588. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-23222-5_70

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

Abstract

Publication series

Workshop

Keywords

Access to Document

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Projects

QOSTREAM: QoSTREAM - Marie Curie

Cite this