scholarly journals Cognition of Graphical Notation for Processing Data in ERDAS IMAGINE

2021 ◽  
Vol 10 (7) ◽  
pp. 486
Author(s):  
Zdena Dobesova
Keyword(s):  
Eye Tracking ◽  
Spatial Model ◽  
Remote Sensing Data ◽  
Workflow Model ◽  
Semantic Transparency ◽  
Tracking Method ◽  
Graphical Notation ◽  
Visual Vocabulary ◽  
Erdas Imagine ◽  
Model Editor

This article presents an evaluation of the ERDAS IMAGINE Spatial Model Editor from the perspective of effective cognition. Workflow models designed in Spatial Model Editor are used for the automatic processing of remote sensing data. The process steps are designed as a chain of operations in the workflow model. The functionalities of the Spatial Model Editor and the visual vocabulary are both important for users. The cognitive quality of the visual vocabulary increases the comprehension of workflows during creation and utilization. The visual vocabulary influences the user’s exploitation of workflow models. The complex Physics of Notations theory was applied to the visual vocabulary on ERDAS IMAGINE Spatial Model Editor. The results were supplemented and verified using the eye-tracking method. The evaluation of user gaze and the movement of the eyes above workflow models brought real insight into the user’s cognition of the model. The main findings are that ERDAS Spatial Model Editor mostly fulfils the requirements for effective cognition of visual vocabulary. Namely, the semantic transparency and dual coding of symbols are very high, according to the Physics of Notations theory. The semantic transparency and perceptual discriminability of the symbols are verified through eye-tracking. The eye-tracking results show that the curved connector lines adversely affect the velocity of reading and produce errors. The application of the Physics of Notations theory and the eye-tracking method provides a useful evaluation of graphical notation as well as recommendations for the user design of workflow models in their practice.

scholarly journals How to take advantage of tablet computers: Effects of news structure on recall and comprehension

2015 ◽  
Vol 40 (4) ◽  
Author(s):  
Anna Van Cauwenberge ◽  
Leen d’Haenens ◽  
Hans Beentjes
Keyword(s):  
Eye Tracking ◽  
Tablet Computers ◽  
Tracking Method ◽  
News Stories ◽  
News Consumption ◽  
Set Up ◽  
And Control ◽  
Factual Recall

AbstractIn light of the growing use of tablets for news reading and mobile news consumption behaviors, this study examined whether an innovative way of structuring news on the tablet that mimics mobile news behaviors reinforced attention for, and learning from, news. Specifically, it was theorized that the chronological and associative structuring of news articles into so-called developing news stories would lead to more attention for news, and better recall and comprehension of news, than the linear print newspaper structure that newspaper publishers continue to copy from print to tablet. A multiple-day experiment was set up using the eye-tracking method to measure and control for attention. The results show that the developing news structure increased comprehension of news substantively, independently of attention effects; no effects were found on attention and factual recall.

A Real-Time Eye Tracking Method for Detecting Optokinetic Nystagmus

2020 ◽  
pp. 143-155
Author(s):  
Mohammad Norouzifard ◽  
Joanna Black ◽  
Benjamin Thompson ◽  
Reinhard Klette ◽  
Jason Turuwhenua
Keyword(s):  
Eye Tracking ◽  
Real Time ◽  
Optokinetic Nystagmus ◽  
Tracking Method

scholarly journals New technology for mineral deposits prediction to identify prospective areas in the Zhezkazgan ore region

2021 ◽  
Vol 15 (2) ◽  
pp. 134-142
Author(s):  
Boris Zeylik ◽  
Yalkunzhan Arshamov ◽  
Refat Baratov ◽  
Alma Bekbotayeva
Keyword(s):  
Remote Sensing ◽  
Satellite Images ◽  
New Technology ◽  
Methodological Approach ◽  
Cost Savings ◽  
Remote Sensing Data ◽  
Ring Structure ◽  
Mineral Deposits ◽  
Erdas Imagine ◽  
Radar Satellite

Purpose. Exploration and predicting the prospective areas in the Zhezkazgan ore region to set up detailed prospecting and evaluation works using new integrated technologies of prediction constructions in the mineral deposits geology. Methods. An integrated methodological approach is used, including methods for deciphering the Earth’s remote sensing (ERS) data, the use of geophysical data and methods of analogy and actualism. All constructions are made in accordance with the principles of shock-explosive tectonics (SET). Prediction constructions are started with the selection of remote sensing data for the studied region and interpretation based on the processing of radar satellite images obtained from the Radarsat-1 satellite. The radar satellite images are processed in the Erdas Imagine software package. Findings. New local prospective areas have been identified, within which it is expected to discover the deposits. Their reserves are to replenish the depleted ore base in the Zhezkazgan region. Area of the gravity maximum 1 (the Near), considered to be the most promising, is located in close proximity to the city of Zhezkazgan; area of the gravity maximum 2 (the Middle); area of the gravity maximum 3 (the Distant-Tabylga); area of the gravity maximum 6 (the Central). A prospective area has been also revealed, overlaid by a loose sediment cover and located inside the Terekty ring structure, as well as the area of a thick stratum of pyritized grey sandstones, which is adjacent to the Sh-2 well drilled to the south of the Zhezkazgan field. Originality. The use of a new prediction technology, in contrast to the known ones, is conditioned by the widespread use of the latest remote information from satellite images, which increases the accuracy of identifying the prospective areas of fields. Practical implications. The new technology for predicting mineral deposits makes it possible to significantly reduce the areas exposed to priority prospecting, which provides significant cost savings.

Evaluation of Situations Causing Split of Attention in Multimedia Learning Environments via Eye-Tracking Method

2015 ◽  
pp. 337-367 ◽  
Author(s):  
Duygu Mutlu-Bayraktar ◽  
Servet Bayram
Keyword(s):  
Eye Tracking ◽  
Learning Environments ◽  
Visual Information ◽  
Multimedia Learning ◽  
Heat Maps ◽  
Tracking Method ◽  
Attention Effect ◽  
Area Of Interest ◽  
Video Images ◽  
Multimedia Environments

In this chapter, situations that can cause split of attention in multimedia environments were determined via eye tracking method. Fixation numbers, heat maps and area of interest of learners were analyzed. As a result of these analyses, design suggestions were determined for multimedia environments to provide focusing attention to content without split attention effect. Visual and auditory resources should be provided simultaneously. Visual information should be supported with auditory expression instead of texts. Images such as videos, pictures and texts should not be presented on the same screen. Texts provided with pictures should be presented via integration to each other instead of separate presentation of text and picture. Texts provided with videos should be presented via integration to each other instead of separate presentation of text and video. Images should be given via marking important points on images to increase attention.

Detecting Online Learners' Reading Ability via Eye-Tracking

2018 ◽  
pp. 163-185
Author(s):  
Samiullah Paracha ◽  
Ayaka Inuoue ◽  
Sania Jehanzeb
Keyword(s):  
Eye Tracking ◽  
Learning Environments ◽  
Reading Ability ◽  
Short Term Memory ◽  
Reading Performance ◽  
Accurate Assessment ◽  
Online Learners ◽  
Motivation To Read ◽  
Tracking Method ◽  
Instructional Goal

Nurturing the motivation to read is an important instructional goal. There can be a number of reasons for a learner to have problems with reading in online learning environments: (1) eyes being unable to scan easily along a line of print; or (2) as a result of concentrating on controlling the eyes concentration, the short-term memory become impaired. The study reported in this chapter used eye tracking method to provide a useful experimental design for exploring reading performance of university online learners. Different eye-tracking experiments were carried out to help informing the teachers to improve the learning environment and be able to do more accurate assessment about what the students were attending to on the screen.

Comparative Study of Change Detection and Urban Expansion Using Multi-Date Multi-Source Data: A Case Study of Greater Khartoum

2012 ◽  
Vol 23 (2) ◽  
pp. 139-172
Author(s):  
Abdullah Salman Alsalman Abdullah Salman Alsalman
Keyword(s):  
Image Processing ◽  
Change Detection ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Urban Expansion ◽  
Remote Sensing Data ◽  
Principal Component ◽  
Test Area ◽  
Image Differencing ◽  
Erdas Imagine

Noting that Khartoum represents the most rapidly expanding city in the Sudan and taking into account that change detection operations are seldom , the present study has been initiated to attempt to produce work that synthesizes land use/land cover (LULC) to investigate change detection using GIS, remote sensing data and digital image processing techniques; estimate, evaluate and map changes that took place in the city from 1975 to 2003. The experiment used the techniques of visual inspection, write-function-memoryinsertion, image differencing, image transformation i.e. normalized difference vegetation index (NDVI), tasseled cap, principal component analysis (PCA), post-classification comparison and GIS. The results of all these various techniques were used by the authors to study change detection of the geographic locale of the test area. Image processing and GIS techniques were performed using Intergraph Image analyst 8.4 and GeoMedia professional version 6, ERDAS Imagine 8.7, and ArcGIS 9.2. Results obtained were discussed and analyzed in a comparative manner and a conclusion regarding the best method for change detection of the test area was derived.

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