scholarly journals Analysis of Reading Time and the Number of Characters within One Gazing Point

2021 ◽  
Vol 6 (6) ◽  
pp. 137-144
Author(s):  
Yusuke Nosaka ◽  
Miho Shinohara ◽  
Hidemi Ishikawa ◽  
Yuko Hoshino ◽  
Mitsuho Yamada
Keyword(s):  
Reading Time

THE NEW GENERATION OF EXPRESS VIEW IS HIGHLY ACCURATE AND IS EFFECTIVE TO REDUCE CAPSULE ENDOSCOPY READING TIME

2020 ◽  
Author(s):  
S Piccirelli ◽  
A Mussetto ◽  
A Bellumat ◽  
R Cannizzaro ◽  
M Pennazio ◽  
...  
Keyword(s):  
Capsule Endoscopy ◽  
Reading Time ◽  
New Generation

The Opposition of Surprisal and Semantic Similarity in the Prediction of Language Processing: Evidence from Eye-tracking Data

2020 ◽  
Author(s):  
Kun Sun
Keyword(s):  
Eye Tracking ◽  
Semantic Similarity ◽  
Cognitive Processing ◽  
Language Processing ◽  
Language Comprehension ◽  
Word Processing ◽  
Reading Time ◽  
Computational Models ◽  
Tracking Data ◽  
Dynamic Approach

Expectations or predictions about upcoming content play an important role during language comprehension and processing. One important aspect of recent studies of language comprehension and processing concerns the estimation of the upcoming words in a sentence or discourse. Many studies have used eye-tracking data to explore computational and cognitive models for contextual word predictions and word processing. Eye-tracking data has previously been widely explored with a view to investigating the factors that influence word prediction. However, these studies are problematic on several levels, including the stimuli, corpora, statistical tools they applied. Although various computational models have been proposed for simulating contextual word predictions, past studies usually preferred to use a single computational model. The disadvantage of this is that it often cannot give an adequate account of cognitive processing in language comprehension. To avoid these problems, this study draws upon a massive natural and coherent discourse as stimuli in collecting the data on reading time. This study trains two state-of-art computational models (surprisal and semantic (dis)similarity from word vectors by linear discriminative learning (LDL)), measuring knowledge of both the syntagmatic and paradigmatic structure of language. We develop a `dynamic approach' to compute semantic (dis)similarity. It is the first time that these two computational models have been merged. Models are evaluated using advanced statistical methods. Meanwhile, in order to test the efficiency of our approach, one recently developed cosine method of computing semantic (dis)similarity based on word vectors data adopted is used to compare with our `dynamic' approach. The two computational and fixed-effect statistical models can be used to cross-verify the findings, thus ensuring that the result is reliable. All results support that surprisal and semantic similarity are opposed in the prediction of the reading time of words although both can make good predictions. Additionally, our `dynamic' approach performs better than the popular cosine method. The findings of this study are therefore of significance with regard to acquiring a better understanding how humans process words in a real-world context and how they make predictions in language cognition and processing.

How Phillips saw the light

2020 ◽  
Vol 36 (8) ◽  
pp. 29-31
Keyword(s):  
Design Methodology ◽  
Reading Time ◽  
Daily Basis ◽  
Business World ◽  
Content Type ◽  
Freak Show ◽  
The World ◽  
Pertinent Information ◽  
The One ◽  
Practical Implications

Purpose Reviews the latest management developments across the globe and pinpoints practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings The problem with developing a reputation of being something of an oracle in the business world is that all of a sudden, everyone expects you to pull off the trick of interpreting the future on a daily basis. Like a freak show circus act or one-hit wonder pop singer, people expect you to perform when they see you, and they expect you to perform the thing that made you famous, even if it is the one thing in the world you don’t want to do. And when you fail to deliver on these heightened expectations, you are dismissed as a one trick pony, however good that trick is in the first place. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Interpreting Adjuncts: Processing English As-Clauses

2021 ◽  
pp. 002383092110008
Author(s):  
Lyn Frazier ◽  
Charles Clifton
Keyword(s):  
Reading Time ◽  
Event Description ◽  
General Preference

Four experiments probed the interpretation of sentence-final as-clauses (e.g., Close the book as a librarian would/would do) ambiguous between a manner interpretation and a “propositional” interpretation. Experiment 1, an interpretation study, found a predominance of manner interpretations for sentences containing would and would do as the elliptical predicate inside the as-clause, biased by which form participants were initially exposed to. In Experiment 2, we assumed that a comma may be present before the as-clause for both interpretations, but that when the contrast between a comma and no comma is called to the reader’s attention it will favor the propositional interpretation. The expectation was confirmed. In Experiment 3 a would-sentence was preceded by a How question or by a What’s with question: propositional interpretations were rare but more prevalent following the What’s with question than the manner question. Experiment 4 added a What did question and tested both no-comma would (NoComma) sentences and comma would do (CommaDo) sentences. CommaDo sentences received more propositional interpretations than NoComma sentences, and were read faster following the What’s with question than the How question, whereas the NoComma were read faster after the How question. All four studies showed manner interpretations prevail, though would do, a (contrastive) comma or a non-manner question increase the frequency of propositional interpretations. Two possibilities are considered for what underlies the manner preference: a general preference for an adjunct to be part of the event description in cases of ambiguity, or the availability of a pre-existing event-“slot” for manner. The reading time results favor the former possibility.

scholarly journals Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

2021 ◽  
Author(s):  
Suzanne L. van Winkel ◽  
Alejandro Rodríguez-Ruiz ◽  
Linda Appelman ◽  
Albert Gubern-Mérida ◽  
Nico Karssemeijer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Detection ◽  
Support System ◽  
Reading Time ◽  
Digital Breast Tomosynthesis ◽  
Breast Tomosynthesis ◽  
Screening Programs ◽  
The Impact

Abstract Objectives Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is increasingly implemented in breast cancer screening. However, the large volume of images increases the risk of reading errors and reading time. This study aims to investigate whether the accuracy of breast radiologists reading wide-angle DBT increases with the aid of an artificial intelligence (AI) support system. Also, the impact on reading time was assessed and the stand-alone performance of the AI system in the detection of malignancies was compared to the average radiologist. Methods A multi-reader multi-case study was performed with 240 bilateral DBT exams (71 breasts with cancer lesions, 70 breasts with benign findings, 339 normal breasts). Exams were interpreted by 18 radiologists, with and without AI support, providing cancer suspicion scores per breast. Using AI support, radiologists were shown examination-based and region-based cancer likelihood scores. Area under the receiver operating characteristic curve (AUC) and reading time per exam were compared between reading conditions using mixed-models analysis of variance. Results On average, the AUC was higher using AI support (0.863 vs 0.833; p = 0.0025). Using AI support, reading time per DBT exam was reduced (p < 0.001) from 41 (95% CI = 39–42 s) to 36 s (95% CI = 35– 37 s). The AUC of the stand-alone AI system was non-inferior to the AUC of the average radiologist (+0.007, p = 0.8115). Conclusions Radiologists improved their cancer detection and reduced reading time when evaluating DBT examinations using an AI reading support system. Key Points • Radiologists improved their cancer detection accuracy in digital breast tomosynthesis (DBT) when using an AI system for support, while simultaneously reducing reading time. • The stand-alone breast cancer detection performance of an AI system is non-inferior to the average performance of radiologists for reading digital breast tomosynthesis exams. • The use of an AI support system could make advanced and more reliable imaging techniques more accessible and could allow for more cost-effective breast screening programs with DBT.

Negotiation and corporate strategy

2019 ◽  
Vol 35 (2) ◽  
pp. 4-6
Keyword(s):  
Competitive Advantage ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Corporate Strategy ◽  
Organizational Strategy ◽  
Content Type ◽  
Pertinent Information ◽  
Practical Implications ◽  
Consistent Approach

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Negotiation is a key tool in delivering competitive advantage but requires a clear and consistent approach closely linked to organizational strategy. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Blending global and regional planning in multinationals

2019 ◽  
Vol 35 (3) ◽  
pp. 16-18
Keyword(s):  
Case Studies ◽  
Regional Planning ◽  
Design Methodology ◽  
Reading Time ◽  
Cutting Edge ◽  
Central Planning ◽  
Content Type ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Blending global and regional planning is important for multinationals. Within a central framework, local offices should have input. Different regions will approach this in different ways, but regional planning needs to be in-synch with central planning cycles. Originality/value The briefing saves busy executives, strategists, and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

scholarly journals Dual Process Theory and Intermediate Effect: Are Faculty and Residents' Performance on Multiple-Choice, Licensing Exam Questions Different?

2015 ◽  
Vol 180 (suppl_4) ◽  
pp. 92-96 ◽  
Author(s):  
Ting Dong ◽  
Steven J. Durning ◽  
Anthony R. Artino ◽  
Cees van der Vleuten ◽  
Eric Holmboe ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Reading Time ◽  
Multiple Choice ◽  
Small Sample ◽  
Dual Process ◽  
Dual Process Theory ◽  
Process Theory ◽  
Unexpected Finding ◽  
Licensing Examination ◽  
Intermediate Effect

ABSTRACT Background: Clinical reasoning is essential for the practice of medicine. Dual process theory conceptualizes reasoning as falling into two general categories: nonanalytic reasoning (pattern recognition) and analytic reasoning (active comparing and contrasting of alternatives). The debate continues regarding how expert performance develops and how individuals make the best use of analytic and nonanalytic processes. Several investigators have identified the unexpected finding that intermediates tend to perform better on licensing examination items than experts, which has been termed the “intermediate effect.” Purpose: We explored differences between faculty and residents on multiple-choice questions (MCQs) using dual process measures (both reading and answering times) to inform this ongoing debate. Method: Faculty (board-certified internists; experts) and residents (internal medicine interns; intermediates) answered live licensing examination MCQs (U.S. Medical Licensing Examination Step 2 Clinical Knowledge and American Board of Internal Medicine Certifying Examination) while being timed. We conducted repeated analysis of variance to compare the 2 groups on average reading time, answering time, and accuracy on various types of items. Results: Faculty and residents did not differ significantly in reading time [F (1, 35) = 0.01, p = 0.93], answering time [F (1, 35) = 0.60, p = 0.44], or accuracy [F (1, 35) = 0.24, p = 0.63] regardless of easy or hard items. Discussion: Dual process theory was not evidenced in this study. However, this lack of difference between faculty and residents may have been affected by the small sample size of participants and MCQs may not reflect how physicians made decisions in actual practice setting.

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