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

Santosh Mathan, Kenneth Hild, Yonghong Huang, Misha Pavel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages95-103
Number of pages9
Volume6780 LNAI
DOIs
StatePublished - 2011
Event6th International Conference on Foundations of Augmented Cognition, FAC 2011, Held as Part of HCI International 2011 - Orlando, FL, United States
Duration: Jul 9 2011Jul 14 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6780 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Conference on Foundations of Augmented Cognition, FAC 2011, Held as Part of HCI International 2011
CountryUnited States
CityOrlando, FL
Period7/9/117/14/11

Fingerprint

Search Theory
High Speed
Modality
Target
Individual Differences
Generalise
Presentation

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6780 LNAI, 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; Pavel, Misha.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6780 LNAI 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 proceedingConference contribution

Mathan, S, Hild, K, Huang, Y & Pavel, M 2011, Characterizing the performance limits of high speed image triage using Bayesian search theory. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 6780 LNAI, 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6780 LNAI. 2011. p. 95-103. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-21852-1_12
Mathan, Santosh ; Hild, Kenneth ; Huang, Yonghong ; Pavel, Misha. / Characterizing the performance limits of high speed image triage using Bayesian search theory. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6780 LNAI 2011. pp. 95-103 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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