Download iMap4.mlappinstall and intall the toolbox as a Matlab Application. Example codes and dataset could be found in ./Data_Sample_with_codes/
Please read the wiki for more information of how to use the toolbox.
Lao, J., Miellet, S., Pernet, C., Sokhn, N., & Caldara, R. (2016). iMap4: An Open Source Toolbox for the Statistical Fixation Mapping of Eye Movement data with Linear Mixed Modeling. Behavior Research Methods. doi: 10.3758/s13428-016-0737-x
Published papers using iMap4 (Updated manually)
Bovet, J., Lao, J., Bartholomée, O., Caldara, R., & Raymond, M. (2016). Mapping female bodily features of attractiveness. Scientific Reports, 6, 18551. doi: 10.1038/srep18551
We provide a subset of the data from this study as a demo of iMap4, see wiki
Kuchinke, L., Dickmann, F., Edler, D., Bordewieck, M., & Bestgen, A. K. (2016). The processing and integration of map elements during a recognition memory task is mirrored in eye-movement patterns. Journal of Environmental Psychology, 47, 213-222. doi:10.1016/j.jenvp.2016.07.002
Geangu, E., Ichikawa, H., Lao, J., Kanazawa, S., Yamaguchi, M., Caldara, R., & Turati, C. (2016). Culture shapes 7-month-olds' perceptual strategies in discriminating facial expressions of emotion. Current Biology, 26(14), 663-664. doi:10.1016/j.cub.2016.05.072
Sokhn, N., Bertoli, F., & Caldara, R. (2017). A left eye bias for female faces. In Knowledge and Smart Technology (KST), 2017 9th International Conference on (pp. 274-278). IEEE.
Blais, C., Fiset, D., Roy, C., Saumure, R. C., & Gosselin, F. (2017). Eye Fixation Patterns for Categorizing Static and Dynamic Facial Expressions. Emotion doi:10.1037/emo0000283
Keep in touch!
Updates and new release will be announced on our lab website. Subscribe by following the link and we'll keep you informed!!
If you have any question, please email Junpeng.firstname.lastname@example.org
The development of this toolbox was supported by the Swiss National Science Foundation (n° 100014_138627) awarded to Dr. Roberto Caldara