Repetition blindness occurs for "both" presentation of a repeated letter

Author(s):  
W. Trammell Neill ◽  
Christopher A. Verwys ◽  
James H. Neely
2018 ◽  
Author(s):  
John R Vokey ◽  
Scott W. Allen

Although commonly accepted as an encoding/representational/perceptual phenomenon, repeti- tion deficits (“repetition blindness”) in Rapid Serial Visual Presentation (RSVP) can be shown to be markedly influenced by retrieval-time tasks independently of item encoding. We demonstrate such influences in a series of within-participant experiments where retrieval conditions are un- predictably varied after items have been experienced. Repetition deficits are demonstrated when full report of the presented item is required and in partial-report conditions where the repeated letter is included in the retrieval cue but not in partial-report conditions where the repeated letter is not included in the retrieval cue. Such effects are not expected if repetition deficits in RSVP are thought to be principally a function of the encoding/representation/perception of the trial experience.


2000 ◽  
Vol 53 (4) ◽  
pp. 1039-1060 ◽  
Author(s):  
Catherine L. Harris ◽  
Alison L. Morris
Keyword(s):  

1997 ◽  
Author(s):  
Steph Woolsey ◽  
Hillary Franke ◽  
Jason Pych ◽  
James F. Juola

2001 ◽  
Author(s):  
Alison L. Morris ◽  
Catherine L. Harris
Keyword(s):  

2018 ◽  
Vol 118 (8) ◽  
pp. 1578-1596 ◽  
Author(s):  
Wandeep Kaur ◽  
Vimala Balakrishnan

Purpose The purpose of this paper is to investigate the effect of including letter repetition commonly found within social media text and its impact in determining the sentiment scores for two major airlines in Malaysia. Design/methodology/approach A Sentiment Intensity Calculator (SentI-Cal) was developed by assigning individual weights to each letter repetition, and tested it using data collected from official Facebook pages of the airlines. Findings Evaluation metrics indicate that SentI-Cal outperforms the baseline tool Semantic Orientation Calculator (SO-CAL), with an accuracy of 90.7 percent compared to 58.33 percent for SO-CAL. Practical implications A more accurate sentiment score allows airline services to easily obtain a better understanding of the sentiments of their customers, hence providing opportunities in improving their airline services. Originality/value Proposed mechanism calculates sentiment intensity of social media text by assigning individual weightage to each repeated letter and exclamation mark thus producing a more accurate sentiment score.


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