@inproceedings{CUNY2016_A5,
title = {Low Predictability: An Empirical Comparison of Paradigms Used for Sentence Comprehension},
author = {Maria Staudte},
url = {https://www.coli.uni-saarland.de/~mirjana/papers/CUNY2016.pdf},
year = {2016},
date = {2016},
booktitle = {29th Annual Conference on Human Sentence Processing (CUNY)},
address = {Gainesville, FL},
abstract = {Contexts that constrain upcoming words to some higher or lower extent can be composed differently but are typically all evaluated using cloze-probability (Rayner & Well, 1996). Less predicted words were found to correlate with more negative N400 (e.g., Frank et al., 2015; Kutas & Hillyard, 1984) and longer reading times (Rayner & Well, 1996; Smith & Levy, 2013). Recently, however, it has been suggested that predictability, as in cloze-probability, is only one influence on processing cost (e.g., DeLong et al., 2014). As DeLong et al. show, differences in plausibility of words with similar cloze-probability also affect processing of such words, reflected in different ERP components. This hints at a difference between frequency-based and deeper semantic processing. Moreover, a relatively novel measure, the Index of Cognitive Activity (ICA) capturing pupil jitter, has been linked to cognitive load and predictability (Demberg et al., 2013).},
pubstate = {published},
type = {inproceedings}
}