Processing of Alphabetic Information Presented in the Fovea or the Periphery: Functional Visual Field and Cognitive Load

Perception ◽  
1981 ◽  
Vol 10 (6) ◽  
pp. 645-650 ◽  
Author(s):  
Leonard J Williams ◽  
Lester A Lefton

In a tachistoscopic reaction-time study that required subjects to respond ‘same’ or ‘different’ to vertically arrayed letter pairs, it was found that cognitive load (level of required match) and retinal eccentricity were both potent variables. It seems that subjects can process low-level information (physical matches) quite effectively out to at least 7 deg visual angle from fixation, in either direction. It was also demonstrated that higher-level processing may proceed fairly efficiently out to at least 4 deg from fixation. These estimates suggest that the abilities of the information processor to deal effectively with the periphery may have been underestimated in the past.

2011 ◽  
Vol 112 (2) ◽  
pp. 369-381
Author(s):  
Yukihisa Matsuda ◽  
Mie Matsui ◽  
Yasuhiro Tonoya ◽  
Naokuni Ebihara ◽  
Masayoshi Kurachi

1992 ◽  
Author(s):  
Kathy McCloskey ◽  
William B. Albery ◽  
Greg Zehner ◽  
Stephen D. Bolia
Keyword(s):  

2007 ◽  
Vol 34 (S 2) ◽  
Author(s):  
TD Hälbig ◽  
S Assuras ◽  
J Barry ◽  
JC Borod ◽  
JM Gracies ◽  
...  

2020 ◽  
Vol 10 (5) ◽  
pp. 92
Author(s):  
Ramtin Zargari Marandi ◽  
Camilla Ann Fjelsted ◽  
Iris Hrustanovic ◽  
Rikke Dan Olesen ◽  
Parisa Gazerani

The affective dimension of pain contributes to pain perception. Cognitive load may influence pain-related feelings. Eye tracking has proven useful for detecting cognitive load effects objectively by using relevant eye movement characteristics. In this study, we investigated whether eye movement characteristics differ in response to pain-related feelings in the presence of low and high cognitive loads. A set of validated, control, and pain-related sounds were applied to provoke pain-related feelings. Twelve healthy young participants (six females) performed a cognitive task at two load levels, once with the control and once with pain-related sounds in a randomized order. During the tasks, eye movements and task performance were recorded. Afterwards, the participants were asked to fill out questionnaires on their pain perception in response to the applied cognitive loads. Our findings indicate that an increased cognitive load was associated with a decreased saccade peak velocity, saccade frequency, and fixation frequency, as well as an increased fixation duration and pupil dilation range. Among the oculometrics, pain-related feelings were reflected only in the pupillary responses to a low cognitive load. The performance and perceived cognitive load decreased and increased, respectively, with the task load level and were not influenced by the pain-related sounds. Pain-related feelings were lower when performing the task compared with when no task was being performed in an independent group of participants. This might be due to the cognitive engagement during the task. This study demonstrated that cognitive processing could moderate the feelings associated with pain perception.


2020 ◽  
Vol 45 (3) ◽  
pp. 241-248
Author(s):  
Engin Yilmaz ◽  
Yakut Akyön ◽  
Muhittin Serdar

AbstractCOVID-19 is the third spread of animal coronavirus over the past two decades, resulting in a major epidemic in humans after SARS and MERS. COVID-19 is responsible of the biggest biological earthquake in the world. In the global fight against COVID-19 some serious mistakes have been done like, the countries’ misguided attempts to protect their economies, lack of international co-operation. These mistakes that the people had done in previous deadly outbreaks. The result has been a greater economic devastation and the collapse of national and international trust for all. In this constantly changing environment, if we have a better understanding of the host-virus interactions than we can be more prepared to the future deadly outbreaks. When encountered with a disease which the causative is unknown, the reaction time and the precautions that should be taken matters a great deal. In this review we aimed to reveal the molecular footprints of COVID-19 scientifically and to get an understanding of the pandemia. This review might be a highlight to the possible outbreaks.


2021 ◽  
Vol 13 (13) ◽  
pp. 7092
Author(s):  
Yi-Chieh Chen ◽  
Kuo-Kuang Fan ◽  
Kwo-Ting Fang

Due to the emergence of computer education, AI education, the Internet of Things, big data, and technological wisdom, it is easy for students to be distracted when engaged in traditional education. Flipped teaching is a teaching strategy frequently used in colleges and universities. The focus of this research was conducted by a comparative analysis of the cognitive load between the experimental group and the control group through a quasi-experimental design for research with different learning methods and different classes. More specifically, flipped teaching was carried out with an experimental group, and traditional teaching a control group; they were observed at the same time, and 213 private university students participated in the experiment. The research proposes a practice of mixed teaching, carried out in a group communication behavior system, and enhancing the spirit of group interaction and learning through mobile devices. The core value of the research lies in (1) online learning, (2) group interaction, and (3) the learning load of the conceptual model. In addition, focus group interviews were used to provide feedback on participants’ cognition and emotions. The results indicate that there were differences in cognitive load between the two classes.


Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 614
Author(s):  
Ayan Orazov ◽  
Liudmila Nadtochii ◽  
Kazybay Bozymov ◽  
Mariam Muradova ◽  
Araigul Zhumayeva

This paper examines the problem of food security in the Republic of Kazakhstan over the past 10 years. Based on statistical data, an assessment was made of the prevalence of malnutrition among the population of the country, including children under 5 years of age. There has been a trend towards for an improvement in the nutrition of the population for a few indicators; however, further optimization of food security indicators is required to achieve the goals of sustainable development (SDGs) of the FAO WHO Agenda for the period up to 2050 in Kazakhstan and in its individual regions. The paper reflects data on demographic changes over the past 10 years and its self-sufficiency in basic foods for 2019. A high degree of self-sufficiency in meat products (117.6%) is revealed in the population of the Republic of Kazakhstan. However, self-sufficiency in dairy products is at an extremely low level (0.1%). Camel breeding has been successfully developing in the country over the past 10 years. However, the number of camels in the country is still at a low level. Camel milk can be considered as a great source of macronutrients, its daily consumption partially facilitates the problem of Food Security in Kazakhstan.


2020 ◽  
Vol 16 (4) ◽  
pp. 325-341
Author(s):  
Nicholas Clark ◽  
Brian Macdonald ◽  
Ian Kloo

AbstractAnalytics and professional sports have become linked over the past several years, but little attention has been paid to the growing field of esports within the sports analytics community. We seek to apply an Adjusted Plus Minus (APM) model, an accepted analytic approach used in traditional sports like hockey and basketball, to one particular esports game: Defense of the Ancients 2 (Dota 2). As with traditional sports, we show how APM metrics developed with Bayesian hierarchical regression can be used to quantify individual player contributions to their teams and, ultimately, use this player-level information to predict game outcomes. In particular, we first provide evidence that gold can be used as a continuous proxy for wins to evaluate a team’s performance, and then use a Bayesian APM model to estimate how players contribute to their team’s gold differential. We demonstrate that this APM model outperforms models based on common team-level statistics (often referred to as “box score statistics”). Beyond the specifics of our modeling approach, this paper serves as an example of the potential utility of applying analytical methodologies from traditional sports analytics to esports.


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