Cognitive model of human visual search with saliency and scene context for real-world images

Yoonhyung Choi; Jinsung Han; Hyungseok Oh; Rohae Myung

doi:10.1177/1541931215591153

Cognitive model of human visual search with saliency and scene context for real-world images

Yoonhyung Choi, Jinsung Han, Hyungseok Oh, Rohae Myung

School of Industrial Management Engineering

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

1 Citation (Scopus)

Abstract

The previous Adaptive Control of Thought-Rational (ACT-R) cognitive architecture model has limitations in the sense that it cannot accurately predict human visual search for real-world images because scene context which could be as important as saliency is not included. Thus, this study proposed ACT-R cognitive modeling with saliency and scene context in parallel for human visual search. Then, the validation of the model was performed by comparing with eye-tracking experimental data. Results show that the model data was quite well fit with the eye-tracking data. In conclusion, the modeling method proposed in this study should be used, in order to predict actual human visual search using both strategies selectively for real-world image.

Original language	English
Title of host publication	2015 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2015
Publisher	Human Factors an Ergonomics Society Inc.
Pages	706-710
Number of pages	5
Volume	2015-January
ISBN (Electronic)	9780945289470
DOIs	https://doi.org/10.1177/1541931215591153
Publication status	Published - 2015
Event	59th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014 - Los Angeles, United States Duration: 2015 Oct 26 → 2015 Oct 30

Other

Other	59th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014
Country	United States
City	Los Angeles
Period	15/10/26 → 15/10/30

ASJC Scopus subject areas

Human Factors and Ergonomics

Access to Document

10.1177/1541931215591153

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Cognitive model of human visual search with saliency and scene context for real-world images. / Choi, Yoonhyung; Han, Jinsung; Oh, Hyungseok; Myung, Rohae.

2015 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2015. Vol. 2015-January Human Factors an Ergonomics Society Inc., 2015. p. 706-710.

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

Choi, Y, Han, J, Oh, H & Myung, R 2015, Cognitive model of human visual search with saliency and scene context for real-world images. in 2015 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2015. vol. 2015-January, Human Factors an Ergonomics Society Inc., pp. 706-710, 59th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014, Los Angeles, United States, 15/10/26. https://doi.org/10.1177/1541931215591153

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abstract = "The previous Adaptive Control of Thought-Rational (ACT-R) cognitive architecture model has limitations in the sense that it cannot accurately predict human visual search for real-world images because scene context which could be as important as saliency is not included. Thus, this study proposed ACT-R cognitive modeling with saliency and scene context in parallel for human visual search. Then, the validation of the model was performed by comparing with eye-tracking experimental data. Results show that the model data was quite well fit with the eye-tracking data. In conclusion, the modeling method proposed in this study should be used, in order to predict actual human visual search using both strategies selectively for real-world image.",

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