@misc{EngbertNuthmannRichteretal.2005,
  author    = {Engbert, Ralf and Nuthmann, Antje and Richter, Eike M. and Kliegl, Reinhold},
  title     = {SWIFT: A Dynamical Model of Saccade Generation during Reading},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-57145},
  year      = {2005},
  abstract  = {Mathematical models have become an important tool for understanding the control of eye movements during reading. Main goals of the development of the SWIFT model (Engbert, Longtin, \& Kliegl, 2002)were to investigate the possibility of spatially distributed processing and to implement a general mechanism for all types of eye movements we observe in reading experiments. Here, we present an advanced version of SWIFT which integrates properties of the oculomotor system and effects of word recognition to explain many of the experimental phenomena faced in reading research. We propose new procedures for the estimation of model parameters and for the test of the model's performance. A mathematical analysis of the dynamics of the SWIFT model is presented. Finally, within this framework, we present an analysis of the transition from parallel to serial processing.},
  language  = {en}
}
@misc{KlieglMassonRichter2009,
  author    = {Kliegl, Reinhold and Masson, Michael E. J. and Richter, Eike M.},
  title     = {A linear mixed model analysis of masked repetition priming},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-57073},
  year      = {2009},
  abstract  = {We examined individual differences in masked repetition priming by re-analyzing item-level response-time (RT) data from three experiments. Using a linear mixed model (LMM) with subjects and items specified as crossed random factors, the originally reported priming and word-frequency effects were recovered. In the same LMM, we estimated parameters describing the distributions of these effects across subjects. Subjects' frequency and priming effects correlated positively with each other and negatively with mean RT. These correlation estimates, however, emerged only with a reciprocal transformation of RT (i.e., -1/RT), justified on the basis of distributional analyses. Different correlations, some with opposite sign, were obtained (1) for untransformed or logarithmic RTs or (2) when correlations were computed using within-subject analyses. We discuss the relevance of the new results for accounts of masked priming, implications of applying RT transformations, and the use of LMMs as a tool for the joint analysis of experimental effects and associated individual differences.},
  language  = {en}
}
@misc{WarschburgerCalvanoRichteretal.2015,
  author    = {Warschburger, Petra and Calvano, Claudia and Richter, Eike M. and Engbert, Ralf},
  title     = {Analysis of Attentional Bias towards Attractive and Unattractive Body Regions among Overweight Males and Females},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-86570},
  year      = {2015},
  abstract  = {Background Body image distortion is highly prevalent among overweight individuals. Whilst there is evidence that body-dissatisfied women and those suffering from disordered eating show a negative attentional bias towards their own unattractive body parts and others' attractive body parts, little is known about visual attention patterns in the area of obesity and with respect to males. Since eating disorders and obesity share common features in terms of distorted body image and body dissatisfaction, the aim of this study was to examine whether overweight men and women show a similar attentional bias. Methods/Design We analyzed eye movements in 30 overweight individuals (18 females) and 28 normalweight individuals (16 females) with respect to the participants' own pictures as well as gender- and BMI-matched control pictures (front and back view). Additionally, we assessed body image and disordered eating using validated questionnaires. Discussion The overweight sample rated their own body as less attractive and showed a more disturbed body image. Contrary to our assumptions, they focused significantly longer on attractive compared to unattractive regions of both their own and the control body. For one's own body, this was more pronounced for women. A higher weight status and more frequent body checking predicted attentional bias towards attractive body parts. We found that overweight adults exhibit an unexpected and stable pattern of selective attention, with a distinctive focus on their own attractive body regions despite higher levels of body dissatisfaction. This positive attentional bias may either be an indicator of a more pronounced pattern of attentional avoidance or a self-enhancing strategy. Further research is warranted to clarify these results.},
  language  = {en}
}