• Title/Summary/Keyword: Cognitive science

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Development of an Evaluation Method for a Driver's Cognitive Workload Using ECG Signal (ECG 기반의 운전자별 인지 부하 평가 방법 개발)

  • Hong, Wongi;Lee, Wonsup;Jung, Kihyo;Lee, Baekhee;Park, Jangwoon;Park, Suwan;Park, Yunsuk;Son, Joonwoo;Park, Seikwon;You, Heecheon
    • Journal of Korean Institute of Industrial Engineers
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    • v.40 no.3
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    • pp.325-332
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    • 2014
  • High cognitive workload decreases a driver's ability of judgement and response in traffic situation and could result in a traffic accident. Electrocardiography (ECG) has been used for evaluation of drivers' cognitive workload; however, individual differences in ECG response corresponding to cognitive workload have not been fully considered. The present study developed an evaluation method of individual driver's cognitive workload based on ECG data, and evaluated its usefulness through an experiment in a driving simulator. The evaluation method developed by the present study determined the optimal ECG evaluation condition for individual participant by analysis of area under the receiver operating characteristic curve (AUC) for various conditions (total number of conditions = 144) in terms of four aspects (ECG measure, window span, update rate, and workload level). AUC analysis on the various conditions showed that the optimal ECG evaluation condition for each participant was significantly different. In addition, the optimal ECG evaluation condition could accurately detect changes in cognitive workload for 47% of the total participants (n = 15). The evaluation method proposed in the present study can be utilized in the evaluation of individual driver's cognitive workload for an intelligent vehicle.

Model Construction of Maternal Identity in Primi-gravida (초임부의 모성 정체성에 관한 모형구축)

  • 김혜원
    • Journal of Korean Academy of Nursing
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    • v.28 no.2
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    • pp.510-518
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    • 1998
  • It was assumed that the maternal identity in primi-gravida is one of the most attribute of the motherhood, that is not biological but cognitive phenomena, appears active process as intelligent human being. The purposes of this study were that the identification the cognitive structure and the influencing factors of the maternal identity in primi-gravida. Theoretical framework in this study, maternal identity in primi-gravida was constructed as a cognitive output, has the cognitive structure of cognitive-perceptual factor, cognitive-behavioral factor, and cognitive-emotional factor. Influencing factors of maternal identity was constructed as a cognitive input, which were pregnancy related perceptions (pregnancy intention, minor discomfort, value of motherhood), interpersonal relationship(relationship with mother, relationship with husband, relationship with social network), preparation to motherhood(maternal knowledge, antenatal self care), and biological factor (gestation period). This study was the descriptive correlational research design, was done from the 3rd January to the 15th March 1996, and the research subjects were selected conviniently 226 the primi-gravida during the gestation period, data collection method was self reported questionnaire cross-sectionally. Descriptive data analysis was done by SAS PC$^{+}$, testing the hypothetical model was done by covariance structural analysis using LISREL 8.03 program. The result of the hypothesis testing, the value of motherhood(y=.650, T=4.26) the maternal knowledge (y=.137, T=2.030), the gestation period( y=.113, T=2.621), showed significant causal effect on the maternal identity in primi-gravida. In conclusion, the maternal identity in primi-gravida had interrelated cognitive structure consist of perceptual, behavioral, and emotional factors. Significant causal factors influencing the maternal identity were value identified. It seems to contribute toward the understanding the characteristics of the maternal identity as a cognitive domains that has been regarded highly abstract concept, so has not been validated empirically.y.

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An Empirical Study on Quantitative Evaluation of Cognitive Function (인지기능의 정량적 평가를 위한 측정 모델 소프트웨어 개발 및 실험적 검증 연구)

  • Ryu, Wan-Seok;Kim, Hyung-Gun;Chung, Sung-Taek
    • Progress in Medical Physics
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    • v.21 no.1
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    • pp.42-51
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    • 2010
  • Imaging studies using MRI, PET, and/or MEG have been primary evaluation methods to quantitatively assess cognitive function. Recent advances in computational technology and information technology may allow a novel evaluation methodology to quantitate cognitive function more cost-effectively. In this study, we developed a software package composed of a series of tests to evaluate cognitive ability combined with a user-friendly touch screen input device. This cognitive assessment tool can quantitate concentration, numeric memory, associative memory, topological memory, visual and muscular reaction, and acoustic reaction over a relatively short testing time. We performed an empirical study on eighty normal subjects aged 20 and 59 years old using the developed evaluation methods. Age-related cognitive deterioration after 40 years old was confirmed. There was no difference in cognitive ability between male and female in the same age group. This study demonstrates the feasibility of a simple but effective evaluation software tool to quantitatively assess cognitive ability. This methodology may provide improved accessibility and reduced costs to perform cognitive function studies to compare between various subject groups.

Relationship between Physical Disability, Cognitive Disorder and Body Image in Stroke Patients (뇌졸중 환자의 신체적 장애, 인지장애 및 신체상간의 관계)

  • Hong, Mi-Soon;Nam, Mee-Ra;Lee, Jin-Hee;Jeong, Kyung-In
    • The Korean Journal of Rehabilitation Nursing
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    • v.9 no.1
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    • pp.34-41
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    • 2006
  • Purpose: This study was to analyze the relationship the physical disability, cognitive disorder and body image. Method: The research was a descriptive relationship study. A sample is composed of 101 hospitalized stroke patients. Data were collected from November, 2005 to December, 2005. The survey instruments used in the study Sharon and Glen's physical disability scale, Lim's cognitive disorder scale and Osgood's body image scale. The collected data were analyzed frequency, percentage, mean, standard deviation, ANOVA, Duncan test, Pearsons' correlation coefficients. Result: The level of physical disability the score was 2.26, cognitive disorder 1.84 and body image 3.54. and they were relation to significant correlation. The body image showed significant negative correlation with physical disability, cognitive disorder. Physical disability showed significant positive correlation with cognitive disorder(r=.639, p=.000), and significant negative correlation with body image(r=-.420, p=.000). Cognitive disorder showed significant negative correlation with body image(r=-.620, p=.000). There were significant differences of body image by general characteristics as follows: age(p=.000), occupation(p=.004), education(p=.008), disease(p=.007). monthly income(p=.006), burden of medical expenses(p=.001), duration of stroke(p=.008). Conclusion: There was a significant correlation between physical disability, cognitive disorder and body image. there will be considered useful nursing intervention effect to physical disability, cognitive disorder and body image of stroke patients.

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Metaverse-Based Personalized Cognitive Activity Support System for Seniors (메타버스 기반 시니어 맞춤형 인지 활동 지원 시스템)

  • Soo-Kyung Moon;Yeon-Jae Oh
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1363-1370
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    • 2023
  • Globally, the elderly population is increasing, making the primary concern of modern society the healthy aging and welfare and medical facilities for the elderly. However, many seniors experience cognitive decline due to aging, making cognitive activities crucial for them. In this context, a study has developed a cognitive activity support system for the elderly using the metaverse. To achieve this, the characteristics and needs of the elderly were analyzed to design an interface in the metaverse that they can easily use. Additionally, the type and difficulty of cognitive activities were adjusted to engage seniors in a captivating manner. Experimental results showed that the proposed system effectively enhances the cognitive abilities of the elderly. Thus, the personalized metaverse-based cognitive activity support system proposed in this study can be a valuable tool for improving the cognitive abilities of the elderly.

The Effect of Cognitive Gap on the Hotel Restaurant Performance (호텔.레스토랑의 서비스품질 인식 차이(Gap)와 경영성과 간의 상관성)

  • 나영선;박기안;이훈영
    • Culinary science and hospitality research
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    • v.8 no.2
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    • pp.37-58
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    • 2002
  • Up to these days, hotels are assumed to compete each other. Due to the spread of high quality the hotel restaurants have begun to face an intensive competition. Hotel food at Beverage have become the more competitive along with fund, good price, service, quality food, and management know-how. It causes the hotel restaurants confront with management difficulties. In order to overcome the management difficulties, hotel restaurants have to improve their marketing abilities and especially to improve their service quality. For this, it is necessary fur hotel restaurants to investigate how their service providers and receivers recognize their service quality. In this research, we examined the cognitive three types of cognitive gaps among customers, service providers, and managers both on the service quality and on the positioning of hotel restaurants. Their cognitive gaps proved negatively correlated with hotel's performance. This research suggests the following findings. Firstly, the competitiveness of hotel restaurant depends on the accurate communication and consensus among managers, service providers, and customers. Secondly, using the information about cognitive gaps recognized, each hotel restaurant should develop concrete marketing plans and strategies with a careful consideration about its current competitive position and management condition.

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Metaphor and Cognitive Map: Analysis on the image of local government (메타포(metaphor)와 인지지도 분석: 지방정부에 대한 이미지를 중심으로)

  • Kim, Dong-Hwan
    • Korean System Dynamics Review
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    • v.12 no.3
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    • pp.5-23
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    • 2011
  • Studies in social science are performed on the language of social actors. While a metaphor analysis focuses on the meaning of the language, a cognitive map analysis deals with its external relationships. If we can put together both analyses, it will be possible to investigate the internal meanings and external relationship of the language and image at the same time. In this paper, metaphor analysis and cognitive map approach is applied to find the image of local governments. This study shows how to link metaphor analysis to the cognitive map and the benefit of using both approaches together.

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Development of Fruit and Vegetable Peels Extracts for Memory Improvement of Prevention and Treatment of Cognitive Impairment

  • Kim, Hyun-Kyoung
    • International journal of advanced smart convergence
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    • v.7 no.3
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    • pp.1-7
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    • 2018
  • This study relates to a composition for improvement of memory or prevention and treatment of cognitive impairment using waste resources rich in beneficial substances. This study makes good effects to inhibit the activity of acetylcholinesterase in brain tissue and to improve the cognitive functions in a simulation model of cognitive impairment induced by scopolamine, so it can be available in the promotion of memory and the prevention and treatment of cognitive impairment. The composition uses the extract of fruit peels, which have long been used without causing toxicity in a wide range of food applications; therefore, it can be used safely without a risk of side effects, even in the case of a long-term administration for the preventive purpose. Furthermore, this research is a very beneficial invention in the environment-friendly aspect in association with the recycling of resources, as it is based on the novel efficacies of fruit peels, which have been conventionally disposed as a refuse of fruits due to their poor sensory qualities despite the content of beneficial substances.

Performance Evaluation of the VoIP Services of the Cognitive Radio System, Based on DTMC

  • Habiba, Ummy;Islam, Md. Imdadul;Amin, M.R.
    • Journal of Information Processing Systems
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    • v.10 no.1
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    • pp.119-131
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    • 2014
  • In recent literature on traffic scheduling, the combination of the two-dimensional discrete-time Markov chain (DTMC) and the Markov modulated Poisson process (MMPP) is used to analyze the capacity of VoIP traffic in the cognitive radio system. The performance of the cognitive radio system solely depends on the accuracy of spectrum sensing techniques, the minimization of false alarms, and the scheduling of traffic channels. In this paper, we only emphasize the scheduling of traffic channels (i.e., traffic handling techniques for the primary user [PU] and the secondary user [SU]). We consider the following three different traffic models: the cross-layer analytical model, M/G/1(m) traffic, and the IEEE 802.16e/m scheduling approach to evaluate the performance of the VoIP services of the cognitive radio system from the context of blocking probability and throughput.

Cognitive Factors in Adaptive Information Access

  • Park, Minsoo
    • International Journal of Advanced Culture Technology
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    • v.6 no.4
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    • pp.309-316
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    • 2018
  • The main purpose of this study is to understand how cognitive factors influence the way people interact with information/information systems, by conducting comprehensive and in-depth literature reviews and a theoretical synthesis of related research. Adaptive systems have been built around an individual user's characteristics, such as interests, preferences, knowledge and goals. Individual differences in the ability to use new information and communication technology have been an important issue in all fields. Performance differences in utilizing new information and communication technology are sufficiently predictable that we can begin to coordinate them. Therefore, it is necessary to understand cognitive mechanisms to explain differences between individuals as well as the levels of performance. The theoretical synthesis from this study can be applied to design intelligent (i.e., human friendly) systems in our everyday lives. Further research should explore optimization design for user, by integrating user's individual traits (such as emotion and intent) and system modules to improve the interactions of human-system in data-driven environments.