scholarly journals A Pen-Eye-Voice Approach Towards The Process of Note-Taking and Consecutive Interpreting: An Experimental Design

2018 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Sijia Chen
Keyword(s):  
Experimental Design ◽  
Eye Tracking ◽  
Language Processing ◽  
Human Mind ◽  
Black Box ◽  
Note Taking ◽  
Processing Task ◽  
Two Phases ◽  
Consecutive Interpreting ◽  
Voice Recording

Interpreting is a cognitively demanding language-processing task. Investigating the process of interpreting helps to explicate what happens inside the black box of interpreters’ minds, with implications on how the human mind processes language under taxing conditions. Since the interpreting process involves multitasking, it is challenging to develop an experimental design to investigate this process. In the case of consecutive interpreting (CI), it is particularly challenging because different methods need to be applied to tap into the two phases of CI, which involve different combinations of sub-tasks. This paper advocates the use of a triangulation of pen recording, eye tracking and voice recording to investigate the process of note-taking and CI.

The process of note-taking in consecutive interpreting

Interpreting ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 117-139 ◽  
Author(s):  
Sijia Chen
Keyword(s):  
Empirical Study ◽  
Note Taking ◽  
Digital Pen ◽  
Consecutive Interpreting ◽  
The Relationship ◽  
Voice Recording

Abstract This article reports the findings of an empirical study on the process of note-taking in consecutive interpreting (CI). The focus is on the data collected via digital pen recording and voice recording while professional interpreters performed CI between Chinese (L1) and English (L2). In both directions of interpreting, the study found that the interpreters preferred language to symbol and English to Chinese. It was also found that the physical and temporal demands of symbol and abbreviation notes were lower than those of language and full word notes, respectively, whereas the ear-pen span (EPS) of symbol notes was longer than that of language notes. As to the relationship between note-taking and interpreting performance, the data showed that a higher percentage of English notes was correlated with a worse performance in both directions of interpreting. There were also some differences between the directions: in E-C interpreting, the performance was better when the EPS was shorter, when the participants used more symbol notes, and when they used fewer language notes, but in C-E interpreting, the quality of performance was positively correlated with the quantity of notes.

scholarly journals (Non-)Sense in note-taking for consecutive interpreting

Interpreting ◽  
2008 ◽  
Vol 10 (2) ◽  
pp. 197-231 ◽  
Author(s):  
Michaela Albl-Mikasa
Keyword(s):  
Language Processing ◽  
Mental Representation ◽  
Text Processing ◽  
Relevance Theory ◽  
Note Taking ◽  
Source Text ◽  
Cognitive Theories ◽  
Propositional Representation ◽  
Propositional Form ◽  
Consecutive Interpreting

The paper applies cognitive theories of text and language processing, and in particular relevance theory, to the analysis of notes in consecutive interpreting. In contrast to the pre-cognitive view, in which note-taking is seen mainly as a memory-supporting technique, the process of note-taking is described as the reception and production of a notation text. Adding the relevance-theoretical constructs of explicature and implicature to the general account of cognitive text processing as coherence building and the construction of a mental representation at local and global levels, this approach allows for the comparison of source, notation and target texts with respect to the underlying propositional representation, and shows how the sense of highly fragmentary notation texts is recovered in consecutive interpreting. The paper is based on an empirical study involving consecutive interpretations (English–German) by five trainee interpreters. The analysis shows that the interpreters operate relatively closely along micropropositional lines when processing the source, notation and target texts, with the explicature regularly having the same propositional form as the corresponding proposition in the source text.

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.

scholarly journals Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4289
Author(s):  
Daniel Martinez-Marquez ◽  
Sravan Pingali ◽  
Kriengsak Panuwatwanich ◽  
Rodney A. Stewart ◽  
Sherif Mohamed
Keyword(s):  
Eye Tracking ◽  
Human Error ◽  
Human Mind ◽  
Future Research ◽  
Mental Performance ◽  
Medical Scientist ◽  
Future Research Directions ◽  
The Mind ◽  
Attention Failure ◽  
Demographic Distribution

Most accidents in the aviation, maritime, and construction industries are caused by human error, which can be traced back to impaired mental performance and attention failure. In 1596, Du Laurens, a French anatomist and medical scientist, said that the eyes are the windows of the mind. Eye tracking research dates back almost 150 years and it has been widely used in different fields for several purposes. Overall, eye tracking technologies provide the means to capture in real time a variety of eye movements that reflect different human cognitive, emotional, and physiological states, which can be used to gain a wider understanding of the human mind in different scenarios. This systematic literature review explored the different applications of eye tracking research in three high-risk industries, namely aviation, maritime, and construction. The results of this research uncovered the demographic distribution and applications of eye tracking research, as well as the different technologies that have been integrated to study the visual, cognitive, and attentional aspects of human mental performance. Moreover, different research gaps and potential future research directions were highlighted in relation to the usage of additional technologies to support, validate, and enhance eye tracking research to better understand human mental performance.

Instructing novice consecutive interpreters

Babel ◽  
2009 ◽  
Vol 55 (4) ◽  
pp. 329-344 ◽  
Author(s):  
Alya' M.H. Ahmad Al-Rubai'i
Keyword(s):  
Cognitive Ability ◽  
Human Life ◽  
Cognitive Tasks ◽  
Cultural Environment ◽  
Note Taking ◽  
Special Training ◽  
Memory Problems ◽  
Cognitive Activities ◽  
Original Message ◽  
Consecutive Interpreting

All aspects of human life rely on the most important cognitive ability that man has been endowed with, namely, memory. Some cognitive tasks such as consecutive interpreting put high demands on this powerful ability to the effect that it needs special training to cope with those demands. The interpreter is required to perform a number of complex cognitive activities in order to transpose the original message from one socio-cultural environment into another. Unless his memory is able to perform well, his task will be adversely affected. In this paper, an attempt is made to suggest a number of steps that provide special training to novice interpreters with the aim of improving the performance of their memory. This is done in a preparatory training course that does not involve consecutive interpreting but working from and into the same language. If the instructor manages to help the trainee overcome memory problems in advance, he can smoothly introduce him to the process and strategies of consecutive interpretation proper. The steps suggested proceed over three phases: (1) attentive listening, meaningful analysis and visualizing, (2) anticipation and note-taking, and (3) rephrasing.


scholarly journals Effectiveness of Environmentally Friendly Mosquito Trap Contained Sugar Yeast Solution

2017 ◽  
Vol 12 (2) ◽  
pp. 270-276 ◽  
Author(s):  
Tutik Ida Rosanti ◽  
S Juwono Mardihusodo ◽  
Wayan T Artama
Keyword(s):  
Experimental Design ◽  
Environmentally Friendly ◽  
P Value ◽  
Mosquito Trap ◽  
Significant Difference ◽  
Rank Score ◽  
Quasi Experimental ◽  
Two Phases ◽  
Materials Used ◽  
Indoor And Outdoor

Environmentally friendly mosquitoes trap using common daily materials used by community may give hopes in reducing mosquitoes density. This study aims to determine the effectiveness of environmentally friendly mosquitoes trap made from bottle contained sugar yeast solution for reducing the number of trapped mosquitoes. This study consist of two phases and quasi experimental design was used. Mann Whitney test was used to determine the differences the number of trapped mosquitoes indoor and outdoor. The result showed p value 0,000 which was lower than ? value (0,05), so there was significant difference between the number of indoor and outdoor trapped mosquitoes. The average Rank score of outdoor mosquitoes trap (42,75) was more than indoor mosquitoes trap (18,25). We concluded that the mosquitoes trapped which contained of sugar-yeast solution was effective for trapping the mosquitoes especially outdoor .

scholarly journals Artificial Cognition: How Experimental Psychology Can Help Generate Explainable Artificial Intelligence

2021 ◽  
Author(s):  
J. Eric T. Taylor ◽  
Graham Taylor
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Neural Networks ◽  
Experimental Approach ◽  
Well Being ◽  
Human Mind ◽  
Black Box ◽  
Psychological Science ◽  
Black Boxes ◽  
Explainable Artificial Intelligence

Artificial intelligence powered by deep neural networks has reached a levelof complexity where it can be difficult or impossible to express how a modelmakes its decisions. This black-box problem is especially concerning when themodel makes decisions with consequences for human well-being. In response,an emerging field called explainable artificial intelligence (XAI) aims to increasethe interpretability, fairness, and transparency of machine learning. In thispaper, we describe how cognitive psychologists can make contributions to XAI.The human mind is also a black box, and cognitive psychologists have overone hundred and fifty years of experience modeling it through experimentation.We ought to translate the methods and rigour of cognitive psychology to thestudy of artificial black boxes in the service of explainability. We provide areview of XAI for psychologists, arguing that current methods possess a blindspot that can be complemented by the experimental cognitive tradition. Wealso provide a framework for research in XAI, highlight exemplary cases ofexperimentation within XAI inspired by psychological science, and provide atutorial on experimenting with machines. We end by noting the advantages ofan experimental approach and invite other psychologists to conduct research inthis exciting new field.

scholarly journals A Survey on Using Gaze Behaviour for Natural Language Processing

2020 ◽  
Author(s):  
Sandeep Mathias ◽  
Diptesh Kanojia ◽  
Abhijit Mishra ◽  
Pushpak Bhattacharya
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Eye Tracking ◽  
Language Processing ◽  
Word Identification ◽  
Test Time ◽  
Gaze Behaviour ◽  
Cognitive Information ◽  
Essay Grading ◽  
Multiple Languages

Gaze behaviour has been used as a way to gather cognitive information for a number of years. In this paper, we discuss the use of gaze behaviour in solving different tasks in natural language processing (NLP) without having to record it at test time. This is because the collection of gaze behaviour is a costly task, both in terms of time and money. Hence, in this paper, we focus on research done to alleviate the need for recording gaze behaviour at run time. We also mention different eye tracking corpora in multiple languages, which are currently available and can be used in natural language processing. We conclude our paper by discussing applications in a domain - education - and how learning gaze behaviour can help in solving the tasks of complex word identification and automatic essay grading.

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