Inattentional Blindness in Visual Search

Matt Chapman-Rounds; Christopher Lucas; Frank Keller

Inattentional Blindness in Visual Search

Matt Chapman-Rounds, Christopher Lucas, Frank Keller

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

Abstract / Description of output

Models of visual saliency normally belong to one of two camps: models such as Experience Guided Search (E-GS), which emphasize top-down guidance based on task features, and models such as Attention as Information Maximisation (AIM), which emphasize the role of bottom-up saliency. In this paper, we show that E-GS and AIM are structurally similar and can be unified to create a general model of visual search which includes a generic prior over potential non-task related objects. We demonstrate that this model displays inattentional blindness, and that blindness can be modulated by adjusting the relative precisions of several terms within the model. At the same time, our model correctly accounts for a series of classical visual search results.

Original language	English
Title of host publication	Proceedings of the 41st Annual Conference of the Cognitive Science Society
Subtitle of host publication	Montreal 2019
Editors	Ashok Goel, Colleen Seifert, Christian Freksa
Publisher	Cognitive Science Society
Pages	2688-2694
Number of pages	7
ISBN (Print)	0-9911967-7-5
Publication status	Published - 24 Jul 2019
Event	41st Annual Meeting of the Cognitive Science Society - Palais des Congrès de Montréal, Montréal , Canada Duration: 24 Jul 2019 → 27 Jul 2019 Conference number: 41 https://cognitivesciencesociety.org/cogsci-2019/

Conference

Conference	41st Annual Meeting of the Cognitive Science Society
Abbreviated title	COGSCI 2019
Country/Territory	Canada
City	Montréal
Period	24/07/19 → 27/07/19
Internet address	https://cognitivesciencesociety.org/cogsci-2019/

Keywords / Materials (for Non-textual outputs)

Inattentional Blindness
Conjunction Search
Visual Attention
Bayesian Modelling
Predictive Processing

Access to Document

Inattentional Blindness_CHAPMAN-ROUNDS_DoA110419_AFVAccepted author manuscript, 161 KB

Cite this

@inproceedings{fa469d40a26c4120b62f53472e6f6cd4,

title = "Inattentional Blindness in Visual Search",

abstract = "Models of visual saliency normally belong to one of two camps: models such as Experience Guided Search (E-GS), which emphasize top-down guidance based on task features, and models such as Attention as Information Maximisation (AIM), which emphasize the role of bottom-up saliency. In this paper, we show that E-GS and AIM are structurally similar and can be unified to create a general model of visual search which includes a generic prior over potential non-task related objects. We demonstrate that this model displays inattentional blindness, and that blindness can be modulated by adjusting the relative precisions of several terms within the model. At the same time, our model correctly accounts for a series of classical visual search results.",

keywords = "Inattentional Blindness, Conjunction Search, Visual Attention, Bayesian Modelling, Predictive Processing",

author = "Matt Chapman-Rounds and Christopher Lucas and Frank Keller",

year = "2019",

month = jul,

day = "24",

language = "English",

isbn = "0-9911967-7-5",

pages = "2688--2694",

editor = "Ashok Goel and Seifert, {Colleen } and Christian Freksa",

booktitle = "Proceedings of the 41st Annual Conference of the Cognitive Science Society",

publisher = "Cognitive Science Society",

note = "41st Annual Meeting of the Cognitive Science Society, COGSCI 2019 ; Conference date: 24-07-2019 Through 27-07-2019",

url = "https://cognitivesciencesociety.org/cogsci-2019/",

}

Chapman-Rounds, M, Lucas, C & Keller, F 2019, Inattentional Blindness in Visual Search. in A Goel, C Seifert & C Freksa (eds), Proceedings of the 41st Annual Conference of the Cognitive Science Society: Montreal 2019. Cognitive Science Society, pp. 2688-2694, 41st Annual Meeting of the Cognitive Science Society, Montréal , Canada, 24/07/19. <https://mindmodeling.org/cogsci2019/>

Inattentional Blindness in Visual Search. / Chapman-Rounds, Matt; Lucas, Christopher ; Keller, Frank.
Proceedings of the 41st Annual Conference of the Cognitive Science Society: Montreal 2019. ed. / Ashok Goel; Colleen Seifert; Christian Freksa. Cognitive Science Society, 2019. p. 2688-2694.

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

TY - GEN

T1 - Inattentional Blindness in Visual Search

AU - Chapman-Rounds, Matt

AU - Lucas, Christopher

AU - Keller, Frank

N1 - Conference code: 41

PY - 2019/7/24

Y1 - 2019/7/24

N2 - Models of visual saliency normally belong to one of two camps: models such as Experience Guided Search (E-GS), which emphasize top-down guidance based on task features, and models such as Attention as Information Maximisation (AIM), which emphasize the role of bottom-up saliency. In this paper, we show that E-GS and AIM are structurally similar and can be unified to create a general model of visual search which includes a generic prior over potential non-task related objects. We demonstrate that this model displays inattentional blindness, and that blindness can be modulated by adjusting the relative precisions of several terms within the model. At the same time, our model correctly accounts for a series of classical visual search results.

AB - Models of visual saliency normally belong to one of two camps: models such as Experience Guided Search (E-GS), which emphasize top-down guidance based on task features, and models such as Attention as Information Maximisation (AIM), which emphasize the role of bottom-up saliency. In this paper, we show that E-GS and AIM are structurally similar and can be unified to create a general model of visual search which includes a generic prior over potential non-task related objects. We demonstrate that this model displays inattentional blindness, and that blindness can be modulated by adjusting the relative precisions of several terms within the model. At the same time, our model correctly accounts for a series of classical visual search results.

KW - Inattentional Blindness

KW - Conjunction Search

KW - Visual Attention

KW - Bayesian Modelling

KW - Predictive Processing

M3 - Conference contribution

SN - 0-9911967-7-5

SP - 2688

EP - 2694

BT - Proceedings of the 41st Annual Conference of the Cognitive Science Society

A2 - Goel, Ashok

A2 - Seifert, Colleen

A2 - Freksa, Christian

PB - Cognitive Science Society

T2 - 41st Annual Meeting of the Cognitive Science Society

Y2 - 24 July 2019 through 27 July 2019

ER -

Inattentional Blindness in Visual Search

Abstract / Description of output

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Cite this