The text-change detection task has been used to show that changes are more readily detected for words that fall under narrow focus than broad focus (Sturt, Sanford, Stewart, & Dawydiak, 2004), and that narrow focus appears to lead to finer semantic distinctions being held in the representation of the word. The present experiments apply the same paradigm to investigate whether sentence processing load also influenced the detection of changes, and whether under a high load, semantic distinctions are held at a more crude (rougher grain) level than under low load. Load comparisons were made through subject- and object-extracted relative clauses (Experiment 1), and through referential load (Experiments 2 and 3). Higher loads resulted in poorer c...
Previous research has indicated that native and non native English speakers do not respond to semant...
Memory researchers acknowledge the importance of semantic processing in recognition and recall, but ...
Seeber (2011) recently introduced a series of analytical cognitive load models, providing a detailed...
The text-change detection task has been used to show that changes are more readily detected for word...
Processing of discourse seems to be far from uniform with much evidence indicating that it can be qu...
Contains fulltext : 6001.pdf (publisher's version ) (Open Access)Reaction time to ...
To highlight relevant information in dialogues, both wh-question context and pitch accent in answers...
The ERP experiment reported here addresses some outstanding questions regarding word processing in s...
To highlight relevant information in dialogues, both wh-question context and pitch accent in answers...
Two experiments investigated the effect of a congruent sentence context on processing time for a tar...
The ERP experiment reported here addresses some outstanding questions regarding word processing in s...
We report an eyetracking study investigating the effects of linguistic focus on eye movements and me...
The research reported in this thesis examined the nature of attention shift costs during the process...
The richness of semantic representations associated with individual words has emerged as an importan...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2001....
Previous research has indicated that native and non native English speakers do not respond to semant...
Memory researchers acknowledge the importance of semantic processing in recognition and recall, but ...
Seeber (2011) recently introduced a series of analytical cognitive load models, providing a detailed...
The text-change detection task has been used to show that changes are more readily detected for word...
Processing of discourse seems to be far from uniform with much evidence indicating that it can be qu...
Contains fulltext : 6001.pdf (publisher's version ) (Open Access)Reaction time to ...
To highlight relevant information in dialogues, both wh-question context and pitch accent in answers...
The ERP experiment reported here addresses some outstanding questions regarding word processing in s...
To highlight relevant information in dialogues, both wh-question context and pitch accent in answers...
Two experiments investigated the effect of a congruent sentence context on processing time for a tar...
The ERP experiment reported here addresses some outstanding questions regarding word processing in s...
We report an eyetracking study investigating the effects of linguistic focus on eye movements and me...
The research reported in this thesis examined the nature of attention shift costs during the process...
The richness of semantic representations associated with individual words has emerged as an importan...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2001....
Previous research has indicated that native and non native English speakers do not respond to semant...
Memory researchers acknowledge the importance of semantic processing in recognition and recall, but ...
Seeber (2011) recently introduced a series of analytical cognitive load models, providing a detailed...