This research project investigates the processing of aesthetically relevant features of language during reading of poetry and literary narratives. The aim of the project is to use analyses of eye movement records to investigate the cognitive, perceptual, cognitive and emotional processes during reading, and to predict readers’ comprehension and subjective emotional experience dependent on the presence vs. absence of poetic features of language. To that end, the project draws on statistical methods from the domain of nonlinear dynamic systems analysis.
Wallot, S., O’Brien, B., Coey, C. A., & Kelty-Stephen, D. (2015). Power-law fluctuations in eye movements predict text comprehension during connected text reading. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Meeting of the Cognitive Science Society (pp. 2583–2588). Austin, TX: Cognitive Science Society.
Wallot, S., O’Brien, B. A., Haussmann, A., Kloos, A., & Lyby, M. S. (2014). The role of reading time complexity and reading speed in text comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40, 1745–1765. doi:10.1037/xlm0000030
Wallot, S., Hollis, G., & van Rooij, M. (2013). Connected Text Reading and Differences in Text Reading Fluency in Adult Readers. Plos One. doi:10.1371/journal.pone.0071914