Learning a word processing system with training wheels and guided exploration

1987 ◽  
Author(s):  
Richard Catrambone ◽  
John M. Carroll
Keyword(s):  
Word Processing ◽  
Processing System ◽  
Guided Exploration

Learning a word processing system with training wheels and guided exploration

1987 ◽  
Vol 18 (4) ◽  
pp. 169-174 ◽  
Author(s):  
Richard Catrambone ◽  
John M. Carroll
Keyword(s):  
Word Processing ◽  
Processing System ◽  
Guided Exploration

Learning a word processing system with training wheels and guided exploration

1986 ◽  
Vol 17 (SI) ◽  
pp. 169-174 ◽  
Author(s):  
Richard Catrambone ◽  
John M. Carroll
Keyword(s):  
Word Processing ◽  
Processing System ◽  
Guided Exploration

scholarly journals Can You Identify These Celebrities? A Network Analysis on Differences between Word and Face Recognition

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 699 ◽  
Author(s):  
Carmen Moret-Tatay ◽  
Inmaculada Baixauli-Fortea ◽  
M. Dolores Grau Sevilla ◽  
Tatiana Quarti Irigaray
Keyword(s):  
Face Recognition ◽  
Network Analysis ◽  
Word Processing ◽  
Processing System ◽  
Place Of Origin ◽  
Masked Repetition ◽  
The Relationship ◽  
Repetition Priming Effect ◽  
Vast Range

Face recognition is located in the fusiform gyrus, which is also related to other tasks such word recognition. Although these two processes have several similarities, there are remarkable differences that include a vast range of approaches, which results from different groups of participants. This research aims to examine how the word-processing system processes faces at different moments and vice versa. Two experiments were carried out. Experiment 1 allowed us to examine the classical discrimination task, while Experiment 2 allowed us to examine very early moments of discrimination. In the first experiment, 20 Spanish University students volunteered to participate. Secondly, a sample of 60 participants from different nationalities volunteered to take part in Experiment 2. Furthermore, the role of sex and place of origin were considered in Experiment 1. No differences between men and women were found in Experiment 1, nor between conditions. However, Experiment 2 depicted shorter latencies for faces than word names, as well as a higher masked repetition priming effect for word identities and word names preceded by faces. Emerging methodologies in the field might help us to better understand the relationship among these two processes. For this reason, a network analysis approach was carried out, depicting sub-communities of nodes related to face or word name recognition, which were replicated across different groups of participants. Bootstrap inferences are proposed to account for variability in estimating the probabilities in the current samples. This supports that both processes are related to early moments of recognition, and rather than being independent, they might be bilaterally distributed with some expert specializations or preferences.

Learning to use a word-processing system as a function of training strategy

1986 ◽  
Vol 5 (3) ◽  
pp. 203-216 ◽  
Author(s):  
SARA J. CZAJA ◽  
KATKA HAMMOND ◽  
JAMES J. BLASCOVICH ◽  
HELEN SWEDE
Keyword(s):  
Word Processing ◽  
Processing System ◽  
Training Strategy

Operator Corrections during Text Entry with Word Processing Systems

1982 ◽  
Vol 26 (7) ◽  
pp. 625-628 ◽  
Author(s):  
Alan S. Neal ◽  
William H. Emmons
Keyword(s):  
Error Correction ◽  
Error Detection ◽  
Word Processing ◽  
Processing System ◽  
Performance Data ◽  
Text Entry ◽  
System Data

In order to answer questions related to keying errors and operator corrections, performance data were collected on typists as they keyed text into a simulated word processing system. Data are presented on the frequency of error detection, the amount of time spent correcting errors, the number of characters erased per error correction, and the types of errors corrected. Comparisons are also made between operator corrected and uncorrected errors.

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