@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} } @article{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}, issn = {0033-295X}, 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 (R. Engbert, A. Longtin, \& R. Kliegl, 2002) were to investigate the possibility of spatially distributed processing and to implement a general mechanism for all types of eye movements observed in reading experiments. The authors present an advanced version of SWIFT that integrates properties of the oculomotor system and effects of word recognition to explain many of the experimental phenomena faced in reading research. They propose new procedures for the estimation of model parameters and for the test of the model's performance. They also present a mathematical analysis of the dynamics of the SWIFT model. Finally, within this framework, they present an analysis of the transition from parallel to serial processing}, language = {en} } @article{RichterEngbert2005, author = {Richter, Eike M. and Engbert, Ralf}, title = {Impossible gap paradigm : Experimental evidence for autonomous saccade timing}, issn = {0301-0066}, year = {2005}, language = {en} }