• 대한인간공학회지
• /
• 제30권2호
• /
• pp.303-310
• /
• 2011

In this study, we employ CPM-GOMS analysis for explaining physical and cognitive processes and for quantitatively predicting when users are typing Korean text messages on mobile phones using both hands. First, we observe the behaviors of 10 subjects, when the subjects enter keypads with both hands. Then, basing upon MHP, we categorize the behaviors into perceptual, cognitive, motor operators, and then we analyze those operators. After that, we use the critical paths to model two task sentences. Also, we used Fitts' law method which was applied many times to predict text entering time on mobile phone to compare with the results of our CPM-GOMS model. We followed Lee's (2008) method that is well suited for text entry task using both hands and calculate total task time for each task sentences. For the sake of comparison between the actual data and the results predicted from our CPM-GOMS model, we empirically tested 10 subjects and concluded that there were no significant differences between the predicted values and the actual data. With the CPM-GOMS model, we can observe the human information processes composed on the physical and cognitive processes. Also we verified that the CPM-GOMS model can be well applied to predict the users' performance when they input text messages on mobile phones using both hands by comparing the predicted total task time with the real execution time.

• 대한산업공학회지
• /
• 제42권6호
• /
• pp.377-385
• /
• 2016

The previous Adaptive Control of Thought-Rational (ACT-R) cognitive architecture model has a limitation in that it cannot accurately predict human visual search strategy, because time effect, one of important human cognitive features, is not considered. Thus, the present study proposes ACT-R cognitive modeling that contains the impact of time using a revised utility system in the ACT-R model. Then, the validation of the model is performed by comparing results of the model with eye-tracking experimental data and SEEV-T (SEEV-Time; SEEV model which considers time effect) model in "Where's Wally" game. The results demonstrate that the model data fit fairly well with the eye-tracking data ($R^2=0.91$) and SEEV-T model ($R^2=0.93$). Therefore, the modeling method which considers time effect using a revised utility system should be used in predicting the human visual search paradigm when the available time is limited.

• 대한인간공학회지
• /
• 제29권6호
• /
• pp.907-914
• /
• 2010

Cognitive model, that is cognitive architecture, is the model expressed with computer program to show the process how human solve a certain problem and it is continuously under investigation through various fields of study such as cognitive engineering, computer engineering, and cognitive psychology. In addition, the much extensive applicability of cognitive model usually helps it to be used for quantitative prediction of human Behavior or Natural programming of human performance in many HCI areas including User Interface Usability, artificial intelligence, natural programming language and also Robot engineering. Meanwhile, when a system designed, an usability test about conceptual design of interface is needed and in this case, analysis evaluation using cognitive model like GOMS or ACT-R is much more effective than empirical evaluation which naturally needs products and subjects. In particular, if we consider the recent trend of very short-end term between a previous technology development and the next new one, it would take time and much efforts to choose subjects and train them in order to conduct usability test which is repeatedly followed in the process of a system development and this finally would bring delays of development of a new system. In this study, we predicted quantitatively the human behavior processes which contains cognitive processes for menu selection in touch screen interface through ACT-R, one of the common method of usability test. Throughout the study, it was shown that the result using cognitive model was equal with the result using existing empirical evaluation. And it is expected that cognitive model has a possibility not only to be used as an effective methodology for evaluation of HCI products or system but also to contribute the activation of HCI cognitive modeling in Korea.

• 한국경영공학회지
• /
• 제23권4호
• /
• pp.179-195
• /
• 2018

So far, the evaluation of machine translation has used a numerical approach, but there is evidence that it is not sufficient to reflect the characteristics or behavior of machine translation users(Hutchins, 2007; Wu et al., 2016; Park et al., 2013). Therefore, this study focused on the purpose of use and purchasing behavior of machine translation users. At this time, the indirect comparison method introduced by Morgan and Hunt(1994) was used to measure cognitive gaps and analyze the purchasing behavior of users. According to the analysis of association rules using cognitive gaps, the smaller the cognitive gap, the more positive the purchase behavior. In addition, procedural knowledge derived from language knowledge is activated in situations involving responsibility, and in routine situations, procedural knowledge trained from pragmatic knowledge works.

• 대한인간공학회지
• /
• 제31권2호
• /
• pp.291-298
• /
• 2012

Objective: The aim of this study is to predict Korean text entry on touchscreens using ACT-R cognitive architecture. Background: Touchscreen application in devices such as satellite navigation devices, PDAs, mobile phones, etc. has been increasing, and the market size is expanding. Accordingly, there is an increasing interest to develop and evaluate the interface to enhance the user experience and increase satisfaction in the touchscreen environment. Method: In this study, Korean text entry performance in the touchscreen environment was analyzed using ACT-R. The ACT-R model considering the characteristics of the Korean language which is composed of vowels and consonants was established. Further, this study analyzed if the prediction of Korean text entry is possible through the ACT-R cognitive model. Results: In the analysis results, no significant difference on performance time between model prediction and empirical data was found. Conclusion: The proposed model can predict the accurate physical movement time as well as cognitive processing time. Application: This study is useful in conducting model-based evaluation on the text entry interface of the touchscreen and enabled quantitative and effective evaluation on the diverse types of Korean text input interfaces through the cognitive models.

• 경영과학
• /
• 제29권2호
• /
• pp.65-77
• /
• 2012

With the explosivley increasing demand in wireless telecommunication service, the shortage of radio spectrum has been worsen. The traditional approach of the current fixed spectrum allocation leads to spectrum underutilization. Recently, CR (Cognitive Radio) technologies are proposed to enhance the spectrum utilization by allocating dynamically radio resources to CR Networks. In this study, we consider a radio resource(power, subcarrier) allocation problem for OFDMA-based CRN in which a base station supports a variety of CUs (CRN Users) while avoiding the radio interference to PRN (Primary Radio Network). The problem is mathematically formulated as a general 0-1 IP problem. The optimal solution method for the IP problem requires an unrealistic execution time due to its complexity. Therefore, we propose an heuristic that gives an approximate solution within a reasonable execution time.

• 한국보건간호학회지
• /
• 제36권2호
• /
• pp.227-239
• /
• 2022

Purpose: This study aimed to examine the differences in the reciprocal causal relationship between cognitive function and depressive symptoms depending on whether older adults lived with others or alone. Methods: We used panel data retrieved from the sixth (Time 1) and seventh (Time 2) waves of the Korean Longitudinal Study of Aging (KLoSA). The study sample included 2,638 older adults living with others and 628 older adults living alone. We conducted cross-lagged panel analyses (CLPA) to identify the bidirectional causal relationship between cognitive function and depressive symptoms in the groups of older adults living with others and those living alone. Results: In the group of older adults living with others, cognitive function and depressive symptoms showed significant reciprocal relationships. In the group of older adults living alone, although the CLPA confirmed that higher levels of depressive symptoms at Time 1 influenced lower levels of cognitive function at Time 2, cognitive function at Time 1 was not associated with depressive symptoms at Time 2. Conclusion: The results suggest that the strategies for preventing cognitive decline and depressive symptoms should be developed according to whether the older adults live alone. Moreover, further studies should identify factors influencing depressive symptoms among older adults living alone, which will ultimately enable the management of depressive symptoms.

• 한국경영과학회:학술대회논문집
• /
• 한국경영과학회 2007년도 추계학술대회 및 정기총회
• /
• pp.464-468
• /
• 2007

In cognitive radio systems, secondary users, unlicensed users, can use primary users' spectrum to increase spectrum efficiency. At that time, the systems must satisfy primary users' QoS. When secondary users use cognitive radio systems, secondary users communication can be terminated, because of satisfying primary users' QoS. However, secondary users' communication terminating is not good for both secondary users and whole systems. So, cognitive radio systems need an efficient algorithm for secondary users of admission control and keeping connections. In this paper, we present an algorithm which consist of two part, admission control and connections control.

• 보건의료산업학회지
• /
• 제9권3호
• /
• pp.201-210
• /
• 2015

Objectives : The purpose of this study was to identify the effect on cognitive function in elderly people above 65 years of age. Methods : The data were collected from June 1 to August 30 2014. Data were collected by questionnaire from 994 elderly people. The instruments for this study were ADL, IADL, depression, MMSE-DS. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, multiple linear regression with the SPSS/WIN 18.0 program. Results : The significant factors influencing MMSE-DS were education(${\beta}=-0.314$, p<.001), IADL(${\beta}=0.196$, p<.001), age(${\beta}=-0.168$, p<.001), exercise time(${\beta}=0.089$, p=.004), economic conditions(${\beta}=0.086$, p=.007), depression(${\beta}=-0.084$, p=.001), income(${\beta}=-0.083$, p=.003), sleep time(${\beta}=-0.079$, p=.001), medical insurance(${\beta}=0.059$, p=.024) and leisure(${\beta}=0.057$, p=.039). Conclusions : Based on the study, subjects with cognitive impairment detected at an early stage it is necessary to intervene in consideration of the individual characteristics and to develop and apply the program that improve the living habits such as exercise and sleep, and decreasing depression.

• 정신신체의학
• /
• 제3권2호
• /
• pp.185-196
• /
• 1995

The author reviewed cognitive-behavioral approach to A type behavior pattern and hypertension which are known to be risk factors for coronary heart diseases. Those cognitive distortions frequently found in persons with A type behavior include all-nothing thinking, selective attention, personalization, and attribution of causality. Cognitive-behavioral techniques were also described, which can be applied to management of each characteristic of A type behavior pattern such as time urgency, perfectionism, achievement striving, low self-esteem, excessive work involvement, hostility, and depression. Cognitive-behavioral intervention for hypertension might help the patients to recognize and monitor anger-engendering conflicts, identify characteristic styles of responding, and experiment with alternative ways of managing conflict and anger. Since different features predominate in different individuals, it is necessary to develop treatment plan on the basis of individual characteristics and problems.