Eye Gaze Analysis Towards an AI System for Dynamic Content Layout

Michael Milliken; Andriy Kharechko; Ian Kegel; Brahim Allan; Shuai Zhang; Sally McClean

doi:10.1007/978-3-031-51023-6_13

Eye Gaze Analysis Towards an AI System for Dynamic Content Layout

Michael Milliken
, Andriy Kharechko
, Ian Kegel
, Brahim Allan
, Shuai Zhang
, Sally McClean

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

As an instance of dynamic content layout in the context of object-based TV broadcasting, graphic insertions within football match replays are presented and discussed. It is offered that an AI system may be an efficient solution to counter occlusion of content. For such a system, aspirational targets are presented, followed by descriptions of an experiment purposed to gather data as to how viewers may experience graphical insertions into football goal replays in comparison to the typically normal football goal replays where no such graphical insertions are made. The experiment takes the form of eye tracking of viewers’ visual interactions and subsequent analysis to better understand fixations on and off inserted graphics. A series of metrics is derived, discussed, and the results of which are presented as to how well the experiment may relate to aspirational targets and by how much they may be met at present, as well as potential future experiments based on the current findings.

Original language	English
Title of host publication	Image Analysis and Processing - ICIAP 2023 Workshops
Subtitle of host publication	ICIAP 2023 Workshops, Proceedings, Part 1
Editors	Gian Luca Foresti, Andrea Fusiello, Edwin Hancock
Publisher	Springer
Pages	145-156
Number of pages	12
ISBN (Electronic)	978-3-031-51023-6
ISBN (Print)	978-3-031-51022-9
DOIs	https://doi.org/10.1007/978-3-031-51023-6_13
Publication status	Published online - 24 Jan 2024
Event	International Conference on Image Analysis and Processing - Udine, Italy Duration: 11 Sept 2023 → 15 Sept 2023 Conference number: 22 https://sites.google.com/view/iciap-2023

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Number	1
Volume	14365
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Image Analysis and Processing
Abbreviated title	ICIAP
Country/Territory	Italy
City	Udine
Period	11/09/23 → 15/09/23
Internet address	https://sites.google.com/view/iciap-2023

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Funding

Research work supported by Ulster University, British Telecom, and Invest NI.

Funders
Invest Northern Ireland
British Telecom

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

eye tracking, object-based broadcasting, object detection, deep learning, sports
deep learning
sports
eye tracking
object-based broadcasting
object detection

Access to Document

10.1007/978-3-031-51023-6_13

Cite this

Milliken, M., Kharechko, A., Kegel, I., Allan, B., Zhang, S., & McClean, S. (2024). Eye Gaze Analysis Towards an AI System for Dynamic Content Layout. In G. L. Foresti, A. Fusiello, & E. Hancock (Eds.), Image Analysis and Processing - ICIAP 2023 Workshops: ICIAP 2023 Workshops, Proceedings, Part 1 (pp. 145-156). (Lecture Notes in Computer Science; Vol. 14365, No. 1). Springer. Advance online publication. https://doi.org/10.1007/978-3-031-51023-6_13

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title = "Eye Gaze Analysis Towards an AI System for Dynamic Content Layout",

abstract = "As an instance of dynamic content layout in the context of object-based TV broadcasting, graphic insertions within football match replays are presented and discussed. It is offered that an AI system may be an efficient solution to counter occlusion of content. For such a system, aspirational targets are presented, followed by descriptions of an experiment purposed to gather data as to how viewers may experience graphical insertions into football goal replays in comparison to the typically normal football goal replays where no such graphical insertions are made. The experiment takes the form of eye tracking of viewers{\textquoteright} visual interactions and subsequent analysis to better understand fixations on and off inserted graphics. A series of metrics is derived, discussed, and the results of which are presented as to how well the experiment may relate to aspirational targets and by how much they may be met at present, as well as potential future experiments based on the current findings.",

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author = "Michael Milliken and Andriy Kharechko and Ian Kegel and Brahim Allan and Shuai Zhang and Sally McClean",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Conference on Image Analysis and Processing, ICIAP ; Conference date: 11-09-2023 Through 15-09-2023",

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month = jan,

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language = "English",

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Milliken, M, Kharechko, A, Kegel, I, Allan, B, Zhang, S & McClean, S 2024, Eye Gaze Analysis Towards an AI System for Dynamic Content Layout. in GL Foresti, A Fusiello & E Hancock (eds), Image Analysis and Processing - ICIAP 2023 Workshops: ICIAP 2023 Workshops, Proceedings, Part 1. Lecture Notes in Computer Science, no. 1, vol. 14365, Springer, pp. 145-156, International Conference on Image Analysis and Processing, Udine, Italy, 11/09/23. https://doi.org/10.1007/978-3-031-51023-6_13

Eye Gaze Analysis Towards an AI System for Dynamic Content Layout. / Milliken, Michael; Kharechko, Andriy; Kegel, Ian et al.
Image Analysis and Processing - ICIAP 2023 Workshops: ICIAP 2023 Workshops, Proceedings, Part 1. ed. / Gian Luca Foresti; Andrea Fusiello; Edwin Hancock. Springer, 2024. p. 145-156 (Lecture Notes in Computer Science; Vol. 14365, No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Eye Gaze Analysis Towards an AI System for Dynamic Content Layout

AU - Milliken, Michael

AU - Kharechko, Andriy

AU - Kegel, Ian

AU - Allan, Brahim

AU - Zhang, Shuai

AU - McClean, Sally

N1 - Conference code: 22

PY - 2024/1/24

Y1 - 2024/1/24

N2 - As an instance of dynamic content layout in the context of object-based TV broadcasting, graphic insertions within football match replays are presented and discussed. It is offered that an AI system may be an efficient solution to counter occlusion of content. For such a system, aspirational targets are presented, followed by descriptions of an experiment purposed to gather data as to how viewers may experience graphical insertions into football goal replays in comparison to the typically normal football goal replays where no such graphical insertions are made. The experiment takes the form of eye tracking of viewers’ visual interactions and subsequent analysis to better understand fixations on and off inserted graphics. A series of metrics is derived, discussed, and the results of which are presented as to how well the experiment may relate to aspirational targets and by how much they may be met at present, as well as potential future experiments based on the current findings.

AB - As an instance of dynamic content layout in the context of object-based TV broadcasting, graphic insertions within football match replays are presented and discussed. It is offered that an AI system may be an efficient solution to counter occlusion of content. For such a system, aspirational targets are presented, followed by descriptions of an experiment purposed to gather data as to how viewers may experience graphical insertions into football goal replays in comparison to the typically normal football goal replays where no such graphical insertions are made. The experiment takes the form of eye tracking of viewers’ visual interactions and subsequent analysis to better understand fixations on and off inserted graphics. A series of metrics is derived, discussed, and the results of which are presented as to how well the experiment may relate to aspirational targets and by how much they may be met at present, as well as potential future experiments based on the current findings.

KW - eye tracking, object-based broadcasting, object detection, deep learning, sports

KW - deep learning

KW - sports

KW - eye tracking

KW - object-based broadcasting

KW - object detection

UR - https://doi.org/10.1007/978-3-031-51023-6_13

UR - https://www.scopus.com/pages/publications/85184089200

U2 - 10.1007/978-3-031-51023-6_13

DO - 10.1007/978-3-031-51023-6_13

M3 - Chapter

SN - 978-3-031-51022-9

T3 - Lecture Notes in Computer Science

SP - 145

EP - 156

BT - Image Analysis and Processing - ICIAP 2023 Workshops

A2 - Foresti, Gian Luca

A2 - Fusiello, Andrea

A2 - Hancock, Edwin

PB - Springer

T2 - International Conference on Image Analysis and Processing

Y2 - 11 September 2023 through 15 September 2023

ER -

Milliken M, Kharechko A, Kegel I, Allan B, Zhang S , McClean S. Eye Gaze Analysis Towards an AI System for Dynamic Content Layout. In Foresti GL, Fusiello A, Hancock E, editors, Image Analysis and Processing - ICIAP 2023 Workshops: ICIAP 2023 Workshops, Proceedings, Part 1. Springer. 2024. p. 145-156. (Lecture Notes in Computer Science; 1). Epub 2024 Jan 24. doi: 10.1007/978-3-031-51023-6_13

Eye Gaze Analysis Towards an AI System for Dynamic Content Layout

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

DDoS intrusion detection through ensemble and evolutionary methods

Cite this

Eye Gaze Analysis Towards an AI System for Dynamic Content Layout

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Student theses

DDoS intrusion detection through ensemble and evolutionary methods

Cite this