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 | |
| 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
Cite this
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
}
TY - GEN
T1 - Cognitive model of human visual search with saliency and scene context for real-world images
AU - Choi, Yoonhyung
AU - Han, Jinsung
AU - Oh, Hyungseok
AU - Myung, Rohae
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84981747375&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84981747375&partnerID=8YFLogxK
U2 - 10.1177/1541931215591153
DO - 10.1177/1541931215591153
M3 - Conference contribution
AN - SCOPUS:84981747375
VL - 2015-January
SP - 706
EP - 710
BT - 2015 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2015
PB - Human Factors an Ergonomics Society Inc.
ER -