• Speech Sciences
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• v.14 no.3
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• pp.111-125
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• 2007

It is important to examine patients' subjective evaluation as well as objective measures and clinician's rating to assess voice disorders. This study aimed to evaluate validity and reliability of Korean-version of Voice Handicap Index (KVHI) and Voice-Related Quality of Life (KVQOL) with 113 adults with voice disorders and 111 normal adults. Content validity was verified by three experienced speech-language pathologists. Concurrent validity was revealed by examining the correlation among KVHI, KVQOL, and Voice Rating Scale as well as item discrimination coefficients. Total scores of KVHI and KVQOL of adults with voice disorders were significantly different from those of normal adults. Test-retest reliability and internal consistencies were significantly high in both KVHI and KVQOL. Correlations among scores of each subscale and total score were also significantly high in each tool. The study revealed that KVHI and KVQOL are suitable tools to be used in clinics and research areas in Korea, which can subjectively evaluate the effects of voice disorders on daily life as well as on quality of life.

• Journal of Information Processing Systems
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• v.17 no.4
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• pp.707-720
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• 2021

To improve the accuracy of the recommendation system, multi-criteria recommendation systems have been widely researched. However, it is highly complicated to extract the preferred features of users and items from the data. To this end, subjective indicators, which indicate a user's priorities for personalized recommendations, should be derived. In this study, we propose a method for generating recommendation candidates by predicting multi-criteria ratings from reviews and using them to derive user priorities. Using a deep learning model based on convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM), multi-criteria prediction ratings were derived from reviews. These ratings were then aggregated to form a linear regression model to predict the overall rating. This model not only predicts the overall rating but also uses the training weights from the layers of the model as the user's priority. Based on this, a new score matrix for recommendation is derived by calculating the similarity between the user and the item according to the criteria, and an item suitable for the user is proposed. The experiment was conducted by collecting the actual "TripAdvisor" dataset. For performance evaluation, the proposed method was compared with a general recommendation system based on singular value decomposition. The results of the experiments demonstrate the high performance of the proposed method.

• International journal of advanced smart convergence
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• v.4 no.1
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• pp.18-30
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• 2015

As the speed of networks that subscribers can use has greatly increased, demand for high-quality broadcast content, such as from Internet Protocol Television (IPTV) and Video on Demand (VoD), is likewise increasing. Therefore, while broadcasters are increasing content and channels, they are striving to improve consumer quality of experience (QoE) to differentiate themselves from competitors, including by producing higher physical-quality content. Recently, subjective measurement methods have been internationally standardized as the most reliable approach for measuring and evaluating IPTV QoE. However, a majority of these methods are performed in experimental environments and are based on the extremely brief viewing period of approximately ten seconds using original reference videos. It is actually difficult to apply standard evaluation methods based on a ten-second viewing interval to assess real broadcast watching of IPTV or other services that involve a longer time (i.e., more than thirty minutes). In this paper, we therefore propose a method that accommodates actual viewing environments. Using the mean opinion score, we experimentally analyze the effects of evaluation interval changes under actual conditions in which IPTV service is provided. In addition, we propose improvements by applying the results into actual live broadcast IPTV service and by analyzing consumer service QoE.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.225-230
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• 2001

Intensity of background noise is a factor significantly affecting both subjective evaluation of experienced stress level and associated electroencephalographic (EEG) responses during mental load in noisy environments. In the study on 27 subjects we analyzed the influence of the background white noise (WN) intensity on psychophysiological responses during a word recognition test. Electrocortical activity were recorded during baseline resting state and 40 s long performance on 3 similar Korean word recognition tests with different intensities of background WN (55, 70 and 85 dB).. An important finding in terms of physiological reactivity was similarity of all physiological response profiles between 55 and 70dB WN, i.e., none of physiological variables differentiated the two conditions, while 85dB WN resulted in a significantly different profile of reactions (higher fast beta power in EEG spectra). This condition was characterized by highest subjective rating of experienced stress, had more fast beta activity and had tendency of right hemisphere dominance, emphasizing the role of brain lateralization in negative affect control.

• IE interfaces
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• v.10 no.1
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• pp.145-154
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• 1997

In developing the HMI(Human-Machine Interface) evaluation system for the IVNS(In-Vehicle Navigation System), design guidelines and evaluation methods are the most crucial problems for its use and efficiency. As the part of this system, focused on the final product of the database, subjective mental workload assessment is seriously considered to evaluate the driver's own driving task using the IVNS. This paper suggests the methodology for the ergonomic assessment of the IVNS that corresponds to the subjective measurement of the driver's mental workload by rating his or her own driving task. For this approach, Revision of NASA-Task Load Index(RNASA-TLX) was developed which translated and revised the version of NASA-TLX that is generally accepted an efficient and powerful method for evaluating the in-vehicle information systems. To verify the RNASA-TLX, an experiment was conducted in a real road situation, because the result of the laboratory approach is uncertain and has the differences from the real road test.

• Korean Journal of Adult Nursing
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• v.25 no.3
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• pp.289-297
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• 2013

Purpose: The purpose of this study was to categorize and to understand the structure of subjectivity in the gender role identity of older female adults. The perception of gender role identity is subjective and varies according to the uniqueness of individual experiences and the value of social culture. Methods: Q-methodology, a technique for extracting subjective opinions was used. In 2010, forty participants completed the Q-sort activity, rating each statement relative to the others. The Q sample has two categories, representing masculinity and femininity, and each category has 20 statements, resulting in 40 adjectives. Results: Using the Q factor analysis, three classifications were identified: 'caring-affectionate type,', 'assertive-confident type,' and 'sensitive-affectionate type.' Despite the differences among the three types in this research, elderly females are likely to have the understanding and patience to comfort others and care for the children. Conclusion: The results of this study revealed new dimensional types of gender role identity and raise the issue of why we need to develop methods for the new dimensional types. Based on the results, further research is needed to compare the findings with those of older males or with women of different age groups.

• Korean Journal of Adult Nursing
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• v.29 no.2
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• pp.200-210
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• 2017

Purpose: The purpose of this study was to assess the relationship between menopausal symptoms and decline in cognitive functioning of menopausal women with mediating effects of health promoting behavior. Methods: Using a convenience sampling, 140 menopausal women were recruited for the cross-sectional survey. Data were collected by using the Menopause Rating Scale, Health Promoting Lifestyle Profile, Everyday Cognition, and Korean Mini-Mental State Examination. Results: The mean scores for menopausal symptoms, health promotion behavior, and subjective cognitive decline were 14.40, 153.79, and 67.40 respectively. Health promotion behavior was directly affected by menopausal symptom ($R^2=8%$). Cognitive decline was directly affected by menopausal symptom ($R^2=11%$). Menopausal symptom (${\beta}=.33$, p<.001) and health promotion behavior (${\beta}=.21$, p=.014) were found to be predictive factors in subjective cognitive decline and explained 14%. Health promotion behavior had a partial mediating effect in the relationship between menopausal symptom and perceived cognitive decline (Sobel test: Z=2.05, p=.040). Conclusion: Based on the findings of this study, developing nursing intervention programs focusing on decreasing menopausal symptoms and encouraging health promotion behavior are recommended to improve cognitive decline in menopausal women.

• Proceedings of the Technology Innovation Conference
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• 1999.06a
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• pp.245-265
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• 1999

MAUT and AHP are widely used for quantification of subjective judgements in various fields of decision making. This study focuses on the introduction and application of MAUT/AHP method which is a hybrid of MAUT and AHP techniques in R&D project priority setting. This hybrid model can clarify each factors' contribution using MAUT method and can reduce the number of pairwise comparisons of AHP method. This study applies AMUT/AHP method to the evaluation of R&D projects in a Government - funded research institute. To evaluate R&D projects, six evaluation factors are derived. SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement ) out of many MAUT methods are used to design the utility function ad AHP is used to allocate the weights among evaluation factors. The major findings of this study can be summarized as follows. First, the SMART/AHP and the DVM/AHP have the same results with the SMART and the DVM, and they are different results with AHP. It is very hard to decide which one is better. Second, MAUT/AHP's strength is analyzed. MAUT reflects utility values of evaluators to alternatives and AHP results objective and consistent weights of factors through pariwise comparisons. Third, its possible application fields are proposed. It is applicable to subjective decision making problems with high complexity and inter-independent factors.

• Science of Emotion and Sensibility
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• v.4 no.2
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• pp.63-68
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• 2001

We purpose to evaluate the fatigue of the error correcting task on monitoring with color temperature 2700 K, 4000 K and 6500 K. Results of questionnaire on subjective feeling of visual fatigue, mental fatigue and concentration. Visual fatigue and mental fatigue level were the lowest, concentration level was the highest and working performance was the best at 2700 K. At 6500 K, mental fatigue level was the highest and concentration level is the lowest. At 4000 K, visual fatigue level was the highest and working performance shown the worst ratio of correcting answers. As results, color temperature 2700 K is the best condition of color temperature to perform the error correcting task on monitoring.

• Child Health Nursing Research
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• v.11 no.4
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• pp.490-497
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• 2005

Purpose: The purpose of this study was to investigate the effect on pain of distraction with an operating doll in preschool children(3-6 years old) during an IV catheter insertion. Method: The research design was a nonequivalent control group posttest design, and the participants were 22 children in the experimental group, and 23 children in the control group. The children were hospitalized for enteritis and pharyngitis in a university hospital. The subjective pain was measured using FACES Pain Rating Scale by self report, and the pain behavior responses were scored using Procedure Behavior Check List by observing a film of the entire procedure, and changes in pulse and oxygen saturation as the physiological pain responses were measured by pulse oximeter. Data were analyzed with the SPSS Win 10.0 program. Result: The degree of subjective pain, pain behavior responses, and changes in pulse during IV catheter insertion were significantly lower in the experimental group. But there was no significant difference in $O_2$ saturation between the two groups. Conclusion: Distraction using an operating doll was effective in decreasing pain during inserting the IV catheter in preschool children.