@article{CajarEngbertLaubrock2020,
  author    = {Cajar, Anke and Engbert, Ralf and Laubrock, Jochen},
  title     = {How spatial frequencies and color drive object search in real-world scenes},
  series = {Journal of vision},
  volume    = {20},
  journal   = {Journal of vision},
  number    = {7},
  publisher = {Association for Research in Vision and Opthalmology},
  address   = {Rockville},
  issn      = {1534-7362},
  doi       = {10.1167/jov.20.7.8},
  pages     = {16},
  year      = {2020},
  abstract  = {When studying how people search for objects in scenes, the inhomogeneity of the visual field is often ignored. Due to physiological limitations, peripheral vision is blurred and mainly uses coarse-grained information (i.e., low spatial frequencies) for selecting saccade targets, whereas high-acuity central vision uses fine-grained information (i.e., high spatial frequencies) for analysis of details. Here we investigated how spatial frequencies and color affect object search in real-world scenes. Using gaze-contingent filters, we attenuated high or low frequencies in central or peripheral vision while viewers searched color or grayscale scenes. Results showed that peripheral filters and central high-pass filters hardly affected search accuracy, whereas accuracy dropped drastically with central low-pass filters. Peripheral filtering increased the time to localize the target by decreasing saccade amplitudes and increasing number and duration of fixations. The use of coarse-grained information in the periphery was limited to color scenes. Central filtering increased the time to verify target identity instead, especially with low-pass filters. We conclude that peripheral vision is critical for object localization and central vision is critical for object identification. Visual guidance during peripheral object localization is dominated by low-frequency color information, whereas high-frequency information, relatively independent of color, is most important for object identification in central vision.},
  language  = {en}
}
@article{SchmiedeskampSchreinerBaldermann2022,
  author    = {Schmiedeskamp, Amy and Schreiner, Monika and Baldermann, Susanne},
  title     = {Impact of cultivar selection and thermal processing by air drying, air frying, and deep frying on the carotenoid content and stability and antioxidant capacity in carrots (Daucus carota L.)},
  series = {Journal of agricultural and food chemistry : a publication of the American Chemical Society},
  volume    = {70},
  journal   = {Journal of agricultural and food chemistry : a publication of the American Chemical Society},
  number    = {5},
  publisher = {American Chemical Society},
  address   = {Washington},
  issn      = {0021-8561},
  doi       = {10.1021/acs.jafc.1c05718},
  pages     = {1629 -- 1639},
  year      = {2022},
  abstract  = {Epidemiological data suggest that consuming diets rich in carotenoids can reduce the risk of developing several non-communicable diseases. Thus, we investigated the extent to which carotenoid contents of foods can be increased by the choice of food matrices with naturally high carotenoid contents and thermal processing methods that maintain their stability. For this purpose, carotenoids of 15 carrot (Daucus carota L.) cultivars of different colors were assessed with UHPLC-DAD-ToF-MS. Additionally, the processing effects of air drying, air frying, and deep frying on carotenoid stability were applied. Cultivar selection accounted for up to 12.9-fold differences in total carotenoid content in differently colored carrots and a 2.2-fold difference between orange carrot cultivars. Air frying for 18 and 25 min and deep frying for 10 min led to a significant decrease in total carotenoid contents. TEAC assay of lipophilic extracts showed a correlation between carotenoid content and antioxidant capacity in untreated carrots.},
  language  = {en}
}
@misc{CajarEngbertLaubrock2022,
  author    = {Cajar, Anke and Engbert, Ralf and Laubrock, Jochen},
  title     = {Potsdam Eye-Movement Corpus for Scene Memorization and Search With Color and Spatial-Frequency Filtering},
  series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  journal   = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-56318},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-563184},
  pages     = {1 -- 7},
  year      = {2022},
  language  = {en}
}
@article{CajarEngbertLaubrock2022,
  author    = {Cajar, Anke and Engbert, Ralf and Laubrock, Jochen},
  title     = {Potsdam Eye-Movement Corpus for Scene Memorization and Search With Color and Spatial-Frequency Filtering},
  series = {Frontiers in psychology / Frontiers Research Foundation},
  volume    = {13},
  journal   = {Frontiers in psychology / Frontiers Research Foundation},
  publisher = {Frontiers Research Foundation},
  address   = {Lausanne, Schweiz},
  issn      = {1664-1078},
  doi       = {10.3389/fpsyg.2022.850482},
  pages     = {1 -- 7},
  year      = {2022},
  language  = {en}
}