• Title/Summary/Keyword: Cognitive processing

Search Result 636, Processing Time 0.024 seconds

Effects of Virtual Reality Images on Body Stability : Focused on Hand Stability (VR 영상이 신체 안정성에 미치는 영향 : 손 안정성을 중심으로)

  • Han, Seung Jo;Kim, Sun-Uk;Koo, Kyo-Chan;Lee, Kyun-Joo;Cho, Min-Su
    • Journal of Digital Convergence
    • /
    • v.15 no.8
    • /
    • pp.391-400
    • /
    • 2017
  • The purpose of this paper is to present the effect of image stimulation on body stability as a conceptual model and to investigate the effect of image stimulus(2D, VR) on body stability(hand stability) through experiments Recently, stereoscopic images such as virtual and augmented reality are combined with smart phones and exercise equipments, and the diffusion is becoming active. The possibility of a safety accident or human error is also increasing as it temporarily affects the balance of the body and hand stability after the image stimulus is removed. The conceptual model is presented based on the results of previous studies. Based on the experimental results, the conceptual model has been explained in combination with the human information processing process and cognitive resource models that take place in the brain. Twenty subjects were exposed to 2D and VR stimuli, and display fatigue was measured by cybersickness questionnaire and hand stability by hand steadiness tester. Experimental results show that VR images induce higher display fatigue and lower hand stability than 2D. In this study, it is meaningful that hand stability according to image type and display fatigue level which have not been tried yet is revealed through conceptual model and experiment.

A Classification Method of Delirium Patients Using Local Covering-Based Rule Acquisition Approach with Rough Lower Approximation (러프 하한 근사를 갖는 로컬 커버링 기반 규칙 획득 기법을 이용한 섬망 환자의 분류 방법)

  • Son, Chang Sik;Kang, Won Seok;Lee, Jong Ha;Moon, Kyoung Ja
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.9 no.4
    • /
    • pp.137-144
    • /
    • 2020
  • Delirium is among the most common mental disorders encountered in patients with a temporary cognitive impairment such as consciousness disorder, attention disorder, and poor speech, particularly among those who are older. Delirium is distressing for patients and families, can interfere with the management of symptoms such as pain, and is associated with increased elderly mortality. The purpose of this paper is to generate useful clinical knowledge that can be used to distinguish the outcomes of patients with delirium in long-term care facilities. For this purpose, we extracted the clinical classification knowledge associated with delirium using a local covering rule acquisition approach with the rough lower approximation region. The clinical applicability of the proposed method was verified using data collected from a prospective cohort study. From the results of this study, we found six useful clinical pieces of evidence that the duration of delirium could more than 12 days. Also, we confirmed eight factors such as BMI, Charlson Comorbidity Index, hospitalization path, nutrition deficiency, infection, sleep disturbance, bed scores, and diaper use are important in distinguishing the outcomes of delirium patients. The classification performance of the proposed method was verified by comparison with three benchmarking models, ANN, SVM with RBF kernel, and Random Forest, using a statistical five-fold cross-validation method. The proposed method showed an improved average performance of 0.6% and 2.7% in both accuracy and AUC criteria when compared with the SVM model with the highest classification performance of the three models respectively.

Study on the Autonomous Vehicle Feature for the Elderly Driver (Focusing on Interaction Design) (고령운전자를 위한 자율주행차량 기능 연구 (인터랙션 디자인을 중심으로))

  • Choi, Kyu-Han
    • The Journal of the Korea Contents Association
    • /
    • v.19 no.11
    • /
    • pp.474-481
    • /
    • 2019
  • Korea entered the aged society in 2018 with the elderly population accounting for 14.4% of the total population, and it is expected to enter the super-aged society in 2026. In particular, it is predicted that by 2050, the elderly population will be 38% of the total population, making it one of the countries with the highest number of elderly people in the world. The increase in the elderly population is naturally leading to an increase in the number of traffic accidents among elderly drivers, in 2017, there were 26,713 elderly driver accidents over 65 years of age, with 848 people dying and 38,627 injured. Compared with 2011, the number of accidents and injuries has doubled and the number of deaths has increased 1.4 times. This study determined that the main factors of the increase in traffic accidents were the characteristics of elderly drivers, such as a decrease in visual/hearing ability, cognitive and information processing ability, and muscle strength. Therefore, it raised the necessity of autonomous vehicle(level 2) for elderly driver who can minimize the burden of driving and aimed to study the function of autonomous vehicle for elderly driver who is not familiar with new technology. Based on this, four functions of autonomous vehicles for elderly drivers were derived, such as providing clear information according to the road environment, considering physical characteristics of drivers, simplifying interface, and reinforcing in-vehicle safety devices.

Research on Engineering & Technology Education for Elementary School Student by using F1 in Schools Program (F1 in Schools 프로그램을 이용한 초등학생 대상 공학 기술 교육에 관한 연구)

  • Park, So-Ra;Nam, Hyun-Wook
    • Journal of Engineering Education Research
    • /
    • v.11 no.1
    • /
    • pp.85-100
    • /
    • 2008
  • The purpose of this study is development of 'F1 in Schools Program' for elementary school student and validation of the program. Fifteen students were originally chosen from the W elementary school in Cheongju, Chungcheogbuk-Do. The children were tested on their understanding of science and 'F1 in Schools Program'. After developing the 'F1 in Schools Program', it was used in the classroom to evaluate applicability and to examine the responses from students, parents and schools. The program consists of 60 classes and the time of each class is 40 minutes. This study was conducted for 10 days from January 22nd, 2007 to February 2nd, 2007. CAD(Computer Aided Design), CFD(Computation Fluid Dynamics), CAM(Computer Aided manufacturing) and CNC Machine were used in this study and proved to be good materials for students in that they increased the students' participation and imagination. However, the children's cognitive and creative abilities as well as manuals written in English hampered the process. Most students, parents, schools seemed to be satisfied with use of the program. However, the schools showed that there was not enough understanding of the program as a whole. The processes with which students build and inspect using the $CO_2$Model Car not only improves the processing of the model but also enhanced the students scientific understanding related to the car speed.

The Analysis of K-WISC-IV Profiles in Children with High-Functioning Autism Spectrum Disorder (고기능 자폐 스펙트럼 장애 아동의 K-WISC-IV 프로파일 분석 및 융합적 적용)

  • Cho, Eun-Young;Kim, Hyun-Mi;Song, Dong-Ho;Cheon, Keun-Ah
    • Journal of the Korea Convergence Society
    • /
    • v.8 no.7
    • /
    • pp.341-348
    • /
    • 2017
  • The aim of this study is to distinguish children with high-functioning autism spectrum disorder (ASD) from the norm group by identifying their Intelligence with Korean Wechsler Intelligence Scale for Children-Fourth Edition (K-WISC-IV) profile analysis. The article were administered to 90 children with high-functioning ASD (6-16) years and has surveyed the average of the Full scale IQ, index scores, and subtest scores of K-WISC-IV. Also, this study has conducted a single-subject T-test in order to verify whether Full scale IQ, index scores, subtest scores are different from those of the norm group. The results show that children with high-functioning ASD achieved significantly lower scores on Processing Speed Index, compared to the norm group. Furthermore, their scores in Comprehension, Picture Concept, Picture completion, Coding, and Symbol Search were significantly lower than those of the norm group. It is likely that what have turned out to be the cognitive weaknesses of high-functioning ASD children by K-WISC-IV analysis, including slow process speed, low social judgement, and difficulty in visual stimuli in everyday life are interrelated to their unique characters.

Derivation of Data Quality Attributes and their Priorities Based on Customer Requirements (고객의 요구사항에 기반한 데이터품질 평가속성 및 우선순위 도출)

  • Jang, Kyoung-Ae;Kim, Ja-Hee;Kim, Woo Je
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.4 no.12
    • /
    • pp.549-560
    • /
    • 2015
  • There is a wide variety of data quality attributes such as the ones proposed by the ISO/IEC organization and also by many other domestic and international institutions. However, it takes considerable time and costs to apply those criteria and guidelines to real environment. Therefore, it needs to define data quality evaluation attributes which are easily applicable and are not influenced by organizational environment limitations. The purpose of this paper is to derive data quality attributes and order of their priorities based on customer requirements for managing the process systematically and evaluating the data quantitatively. This study identifies the customer cognitive constructs of data quality attributes using the RGT(Repertory Grid Technique) based on a Korean quality standard model (DQC-M). Also the correlation analysis on the identified constructs is conducted, and the evaluation attributes is prioritized and ranked using the AHP. As the results of this paper, the consistent system, the accurate data, the efficient environment, the flexible management, and the continuous improvement are derived at the first level of the data quality evaluation attributes. Also, Control Compliance(13%), Regulatory Compliance(10%), Requirement Completeness(9.6%), Accuracy(8.4%), and Traceability(6.8%) are ranked on the top 5 of the 19 attributes in the second level.

A Preliminary Study of Attentional Blink of Rapid Serial Visual Presentation in Burn Patients with Posttraumatic Stress Disorder (화상 환자에서 신속 순차 시각 제시를 이용한 주의깜빡임에 관한 예비연구)

  • Kim, Dae Hee;Jun, Bora;Seo, Cheong Hoon;Cho, Yongsuk;Yim, Haejun;Hur, Jun;Kim, Dohern;Chun, Wook;Kim, Jonghyun;Jung, Myung Hun;Choi, Ihngeun;Lee, Boung Chul
    • Korean Journal of Biological Psychiatry
    • /
    • v.17 no.2
    • /
    • pp.79-85
    • /
    • 2010
  • Objectives : Trauma patients have attentional bias which enforces traumatic memories and causes cognitive errors. Understanding of such selective attention may explain many aspects of the posttraumatic stress disorder(PTSD) symptoms. Methods : We used the rapid serial visual presentation(RSVP) method to verify attentional blink in burn patients with PTSD. International affective picture system(IAPS) was used as stimuli and distracters. In the 'neutral test', patients have been presented series of pictures with human face picture as target stimuli. Each picture had 100ms interval. However the distance between target facial pictures was randomized and recognition of second facial picture accuracy was measured. In the 'stress test', the first target was stress picture which arouses patient emotions instead of the facial picture. Neutral and Stress tests were done with seven PTSD patients and 20 controls. In '85ms test' the interval was reduced to 85ms. The accuracy of recognition of second target facial picture was rated in all three tests. Eighty-five ms study was done with eighteen PTSD patients. Results : Attentional blinks were observed in 100-400ms of RSVP. PTSD patients showed increased recognition rate in the 'stress test' compared with the 'neutral test'. When presentation interval was decreased to 85 ms, PTSD patient showed decrease of attentional blink effect when target facial picture interval was 170ms. Conclusion : We found attentional blink effect could be affected by stress stimulus in burn patients. And attentional blink may be affected by stimulus interval and the character of stimulus. There may be some other specific mechanism related with selective attention in attentional blink especially with facial picture processing.

A feasibility study on new stimulation method in fMRI language examinations using custom designed images (기능적 자기공명영상의 언어기능검사 시 image를 이용한 자극방법의 타당성 연구)

  • Choi, Kwan-Woo;Son, Soon-Yong;Jeong, Mi-Ae;Min, Jung-Whan
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.12 no.11
    • /
    • pp.5005-5011
    • /
    • 2011
  • The purpose of this work is to know the validity of a new stimulation method in cognitive functional imaging using custom-designed images correspond to words or syllables improving the shortcomings of existing method using text. From March 2011 to May five Subjects in need of language related functional MRI scanning were selected and both of text stimulating method and image stimulating method sacanning were carried out three times each. Using 3.0T Philps MRI machine and Invivo Co's Eloquence system, data acquisition was performed with EPI-BOLD technique. Post processing was performed with SPM 99 while the activated signals were determined within 95 percent confidence level.The number of activation clusters and the activation ratio inside ROI were compared. As as result, all of the subject showed activation inside Broca area but it did not have statistical significance. In conclusion, the image sitimulation method has potential because image itself is a common means of recognition and it can be recognised easily even if there language barrier. This stimulation method can be applied to replacing the exising scanning method especially in the elderly, infants, foerigners who may not fully understand about the examination.

A Study on Building Knowledge Base for Intelligent Battlefield Awareness Service

  • Jo, Se-Hyeon;Kim, Hack-Jun;Jin, So-Yeon;Lee, Woo-Sin
    • Journal of the Korea Society of Computer and Information
    • /
    • v.25 no.4
    • /
    • pp.11-17
    • /
    • 2020
  • In this paper, we propose a method to build a knowledge base based on natural language processing for intelligent battlefield awareness service. The current command and control system manages and utilizes the collected battlefield information and tactical data at a basic level such as registration, storage, and sharing, and information fusion and situation analysis by an analyst is performed. This is an analyst's temporal constraints and cognitive limitations, and generally only one interpretation is drawn, and biased thinking can be reflected. Therefore, it is essential to aware the battlefield situation of the command and control system and to establish the intellignet decision support system. To do this, it is necessary to build a knowledge base specialized in the command and control system and develop intelligent battlefield awareness services based on it. In this paper, among the entity names suggested in the exobrain corpus, which is the private data, the top 250 types of meaningful names were applied and the weapon system entity type was additionally identified to properly represent battlefield information. Based on this, we proposed a way to build a battlefield-aware knowledge base through mention extraction, cross-reference resolution, and relationship extraction.

Morphologic Alterations in Amygdala Subregions of Adult Patients with Bipolar Disorder

  • Lee, Hyun-Jae;Han, Kyu-Man;Kim, Aram;Kang, Wooyoung;Kang, Youbin;Kang, June;Won, Eunsoo;Tae, Woo-Suk;Ham, Byung-Joo
    • Korean Journal of Biological Psychiatry
    • /
    • v.26 no.1
    • /
    • pp.22-31
    • /
    • 2019
  • Objectives Previous studies have revealed inconsistent results on amygdala volume in adult bipolar disorder (BD) patients compared to healthy controls (HC). Since the amygdala encompasses multiple subregions, the subtle volume changes in each amygdala nucleus might have not been fully reflected in the measure of the total amygdala volume, causing discrepant results. Thus, we aimed to investigate volume changes in each amygdala subregion and their association with subtypes of BD, lithium use and clinical status of BD. Methods Fifty-five BD patients and 55 HC underwent T1-weighted structural magnetic resonance imaging. We analyzed volumes of the whole amygdala and each amygdala subregion, including the anterior amygdaloid area, cortico-amygdaloid transition area, basal, lateral, accessory basal, central, cortical, medial and paralaminar nuclei using the atlas in the FreeSurfer. The volume difference was analyzed using a one-way analysis of covariance with individual volumes as dependent variables, and age, sex, and total intracranial volume as covariates. Results The volumes of whole right amygdala and subregions including basal nucleus, accessory basal nucleus, anterior amygdaloid area, and cortico-amygdaloid transition area in the right amygdala of BD patients were significantly smaller for the HC group. No significant volume difference between bipolar I disorder and bipolar II disorder was found after the Bonferroni correction. The trend of larger volume in medial nucleus with lithium treatment was not significant after the Bonferroni correction. No significant correlation between illness duration and amygdala volume, and insignificant negative correlation were found between right central nucleus volume and depression severity. Conclusions Significant volume decrements of the whole amygdala, basal nucleus, accessory basal nucleus, anterior amygdaloid area, and cortico-amygdaloid transition area were found in the right hemisphere in adult BD patients, compared to HC group. We postulate that such volume changes are associated with altered functional activity and connectivity of amygdala nuclei in BD.