Characterizing the performance limits of high speed image triage using Bayesian search theory

Santosh Mathan; Kenneth Hild; Yonghong Huang; Misha Pavel

doi:10.1007/978-3-642-21852-1_12

Characterizing the performance limits of high speed image triage using Bayesian search theory

Santosh Mathan, Kenneth Hild, Yonghong Huang, Misha Pavel

Biomedical Engineering

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

1 Scopus citations

Abstract

The rapid serial visual presentation (RSVP) modality has been used in conjunction with neurophysiological and behavioral responses to identify targets within large volumes of imagery efficiently. The research reported here uses optimal search theory to characterize the limits of this approach. Search theory is used to inform the estimation of detection functions. These functions provide a principled basis for selecting presentation parameters that balance search efficiency and accuracy. Detection functions are also used to characterize individual differences in search performance and to assess the extent to which the RSVP presentation modality generalizes across a class of complex targets.

Original language	English (US)
Title of host publication	Foundations of Augmented Cognition
Subtitle of host publication	Directing the Future of Adaptive Systems - 6th International Conference, FAC 2011, Held as Part of HCI International 2011, Proceedings
Pages	95-103
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-642-21852-1_12
State	Published - 2011
Event	6th International Conference on Foundations of Augmented Cognition, FAC 2011, Held as Part of HCI International 2011 - Orlando, FL, United States Duration: Jul 9 2011 → Jul 14 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	6780 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	6th International Conference on Foundations of Augmented Cognition, FAC 2011, Held as Part of HCI International 2011
Country/Territory	United States
City	Orlando, FL
Period	7/9/11 → 7/14/11

Keywords

Detection Functions
EEG
Rapid Serial Visual Presentation
Search Theory
Target Detection
Visual Psychophysics

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-21852-1_12

Cite this

Mathan, S., Hild, K., Huang, Y., & Pavel, M. (2011). Characterizing the performance limits of high speed image triage using Bayesian search theory. In Foundations of Augmented Cognition: Directing the Future of Adaptive Systems - 6th International Conference, FAC 2011, Held as Part of HCI International 2011, Proceedings (pp. 95-103). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6780 LNAI). https://doi.org/10.1007/978-3-642-21852-1_12

Characterizing the performance limits of high speed image triage using Bayesian search theory. / Mathan, Santosh; Hild, Kenneth; Huang, Yonghong et al.
Foundations of Augmented Cognition: Directing the Future of Adaptive Systems - 6th International Conference, FAC 2011, Held as Part of HCI International 2011, Proceedings. 2011. p. 95-103 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6780 LNAI).

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

Mathan, S, Hild, K, Huang, Y & Pavel, M 2011, Characterizing the performance limits of high speed image triage using Bayesian search theory. in Foundations of Augmented Cognition: Directing the Future of Adaptive Systems - 6th International Conference, FAC 2011, Held as Part of HCI International 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6780 LNAI, pp. 95-103, 6th International Conference on Foundations of Augmented Cognition, FAC 2011, Held as Part of HCI International 2011, Orlando, FL, United States, 7/9/11. https://doi.org/10.1007/978-3-642-21852-1_12

Mathan S, Hild K, Huang Y, Pavel M. Characterizing the performance limits of high speed image triage using Bayesian search theory. In Foundations of Augmented Cognition: Directing the Future of Adaptive Systems - 6th International Conference, FAC 2011, Held as Part of HCI International 2011, Proceedings. 2011. p. 95-103. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-21852-1_12

Mathan, Santosh ; Hild, Kenneth ; Huang, Yonghong et al. / Characterizing the performance limits of high speed image triage using Bayesian search theory. Foundations of Augmented Cognition: Directing the Future of Adaptive Systems - 6th International Conference, FAC 2011, Held as Part of HCI International 2011, Proceedings. 2011. pp. 95-103 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{bc95bb1c9f794441bb9bf3448bd1cd73,

title = "Characterizing the performance limits of high speed image triage using Bayesian search theory",

abstract = "The rapid serial visual presentation (RSVP) modality has been used in conjunction with neurophysiological and behavioral responses to identify targets within large volumes of imagery efficiently. The research reported here uses optimal search theory to characterize the limits of this approach. Search theory is used to inform the estimation of detection functions. These functions provide a principled basis for selecting presentation parameters that balance search efficiency and accuracy. Detection functions are also used to characterize individual differences in search performance and to assess the extent to which the RSVP presentation modality generalizes across a class of complex targets.",

keywords = "Detection Functions, EEG, Rapid Serial Visual Presentation, Search Theory, Target Detection, Visual Psychophysics",

author = "Santosh Mathan and Kenneth Hild and Yonghong Huang and Misha Pavel",

note = "Funding Information: Acknowledgements. This work was supported by the Defense Advanced Research Projects Agency under contract N10PC20048. The views, opinions, and/or findings contained in this article/presentation are those of the author/presenter and should not be interpreted as representing the official views or policies, either expressed or implied, of DARPA or the Department of Defense. The authors thank James Carciofini and Karen Feigh for their contributions to this work. Satellite images included in this paper were produced by DigitalGlobe Inc., Longmont, CO 80501, USA. (c) 2003; 6th International Conference on Foundations of Augmented Cognition, FAC 2011, Held as Part of HCI International 2011 ; Conference date: 09-07-2011 Through 14-07-2011",

year = "2011",

doi = "10.1007/978-3-642-21852-1_12",

language = "English (US)",

isbn = "9783642218514",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "95--103",

booktitle = "Foundations of Augmented Cognition",

}

TY - GEN

T1 - Characterizing the performance limits of high speed image triage using Bayesian search theory

AU - Mathan, Santosh

AU - Hild, Kenneth

AU - Huang, Yonghong

AU - Pavel, Misha

N1 - Funding Information: Acknowledgements. This work was supported by the Defense Advanced Research Projects Agency under contract N10PC20048. The views, opinions, and/or findings contained in this article/presentation are those of the author/presenter and should not be interpreted as representing the official views or policies, either expressed or implied, of DARPA or the Department of Defense. The authors thank James Carciofini and Karen Feigh for their contributions to this work. Satellite images included in this paper were produced by DigitalGlobe Inc., Longmont, CO 80501, USA. (c) 2003

PY - 2011

Y1 - 2011

N2 - The rapid serial visual presentation (RSVP) modality has been used in conjunction with neurophysiological and behavioral responses to identify targets within large volumes of imagery efficiently. The research reported here uses optimal search theory to characterize the limits of this approach. Search theory is used to inform the estimation of detection functions. These functions provide a principled basis for selecting presentation parameters that balance search efficiency and accuracy. Detection functions are also used to characterize individual differences in search performance and to assess the extent to which the RSVP presentation modality generalizes across a class of complex targets.

AB - The rapid serial visual presentation (RSVP) modality has been used in conjunction with neurophysiological and behavioral responses to identify targets within large volumes of imagery efficiently. The research reported here uses optimal search theory to characterize the limits of this approach. Search theory is used to inform the estimation of detection functions. These functions provide a principled basis for selecting presentation parameters that balance search efficiency and accuracy. Detection functions are also used to characterize individual differences in search performance and to assess the extent to which the RSVP presentation modality generalizes across a class of complex targets.

KW - Detection Functions

KW - EEG

KW - Rapid Serial Visual Presentation

KW - Search Theory

KW - Target Detection

KW - Visual Psychophysics

UR - http://www.scopus.com/inward/record.url?scp=79960295113&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960295113&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-21852-1_12

DO - 10.1007/978-3-642-21852-1_12

M3 - Conference contribution

AN - SCOPUS:79960295113

SN - 9783642218514

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 95

EP - 103

BT - Foundations of Augmented Cognition

T2 - 6th International Conference on Foundations of Augmented Cognition, FAC 2011, Held as Part of HCI International 2011

Y2 - 9 July 2011 through 14 July 2011

ER -

Characterizing the performance limits of high speed image triage using Bayesian search theory

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this