• Title/Summary/Keyword: Expression patterns

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Growth Characteristics and Comparative Proteome Analysis of Adzuki Bean Leaves at the Early Vegetative Stage under Waterlogging Stress (논 토양 조건에서 팥 유묘기의 생육특성과 단백질 발현 양상)

  • Hae-Ryong Jeong;Soo-Jeong Kwon;Sung-Hyun Yun;Min-Young Park;Hee-Ock Boo;Hag-Hyun Kim;Moon-Soon Lee;Sun-Hee Woo
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.67 no.4
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    • pp.211-221
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    • 2022
  • Recently, the demand for the cultivation of upland soil has been increasing, and the rate of conversion of paddy soil into upland soil is also increasing. Theincrease in uneven precipitation due to climate change has resulted in dramatic effects of waterlogging stress on upland crops. Therefore, the present study was conducted to investigate the changes in growth characteristics and the expression patterns of proteins at the two-leaf stage of adzuki beans. The domestic cultivar, Arari (Miryang No. 8), was used to test waterlogging stress. At the two-leaf stage of adzuki beans, plant height slightly decreased androot fresh weight showed significant changes after 3 days of waterlogging treatment. Chlorophyll content was also significantly different after 3 days of waterlogging treatment compared to its content in control plants. Using two-dimensional gel electrophoresis, more than 400 protein spots were identified. Twenty-one differentially expressed proteins from the two-leaf stage were analyzed using linear trap quadrupole-Fourier transform-ion cyclotron resonance mass spectrometry. Of these 21 proteins, 9 were up-regulated and 12 were down-regulated under waterlogging treatment. Protein information resource (https://pir.georgetown.edu/) categories were assigned to all 49 proteins according to their molecular function, cellular component localization, and biological processes. Most of the proteins were found to be involved in the biological process, carbohydrate metabolism and were localized in chloroplasts.

Partial Sequencing and Characterization of Porcine DNA Methyltransferase I cDNA

  • Lee, Y.Y.;Kim, M.S.;Park, J.J.;H.Y. Kang;Y.M. Chang;Yoon, J.T.;K.S. Min
    • Proceedings of the Korean Society of Developmental Biology Conference
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    • 2003.10a
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    • pp.84-84
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    • 2003
  • DNA methylation is involved in epigenetic processes such as X-chromosome inactivation, imprinting and silencing of transposons. DNA methylation is a highly plastic and critical component of mammalian development The DNA methyltransferases (Dnmts) are responsible for the generation of genomic methylation patterns, which lead to transcriptional silencing. The maintenance DNA methyltransferase enzyme, Dnmt 1, and the de novo methyltransferase, Dnmt3a and Dnmt3b, are indispensable for development because mice homozygous for the targeted disruption of any of these genes are not viable. The occurrence of DNA methylation is not random, and it can result in gene silencing The mechanisms underlying these processes are poorly understood. It is well established that DNA methylation and histone deacetylation operate along a common mechanistic pathway to repress transcription through the action of methyl-binding domain proteins (MBDs), which are components of, or recruit, histone deacetylase (HDAC) complexes to methylated DNA. As a basis for future studies on the role of the DNA-methyl-transferase in porcine development, we have isolated and characterized a partial cDNA coding for the porcine Dnmt1. Total RNA of testis, lung and ovary was isolated with TRlzol according to the manufacture's specifications. 5 ug of total RNA was reverse transcribed with Super Script II in the presence of porcine Dnmt 1 specific primers. Standard PCRs were performed in a total volume of 50 ul with cDNA as template. Two DNA fragmenets in different position were produced about 700bp, 1500bp and were cloned into pCR II-TOPO according to the manufacture's specification. Assembly of all sequences resulted in a cDNA from 158bp of 5'to 4861bp of 3'compare with the known human maintenance methyltransferase. Now, we are cloning the unknown Dnmt 1 region by 5'-RACE method and expression of Dnmt 1 in tissues from adult porcine animals.

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Epigenetic insights into colorectal cancer: comprehensive genome-wide DNA methylation profiling of 294 patients in Korea

  • Soobok Joe;Jinyong Kim;Jin-Young Lee;Jongbum Jeon;Iksu Byeon;Sae-Won Han;Seung-Bum Ryoo;Kyu Joo Park;Sang-Hyun Song;Sheehyun Cho;Hyeran Shim;Hoang Bao Khanh Chu;Jisun Kang;Hong Seok Lee;DongWoo Kim;Young-Joon Kim;Tae-You Kim;Seon-Young Kim
    • BMB Reports
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    • v.56 no.10
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    • pp.563-568
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    • 2023
  • DNA methylation regulates gene expression and contributes to tumorigenesis in the early stages of cancer. In colorectal cancer (CRC), CpG island methylator phenotype (CIMP) is recognized as a distinct subset that is associated with specific molecular and clinical features. In this study, we investigated the genome-wide DNA methylation patterns among patients with CRC. The methylation data of 1 unmatched normal, 142 adjacent normal, and 294 tumor samples were analyzed. We identified 40,003 differentially methylated positions with 6,933 (79.8%) hypermethylated and 16,145 (51.6%) hypomethylated probes in the genic region. Hypermethylated probes were predominantly found in promoter-like regions, CpG islands, and N shore sites; hypomethylated probes were enriched in open-sea regions. CRC tumors were categorized into three CIMP subgroups, with 90 (30.6%) in the CIMP-high (CIMP-H), 115 (39.1%) in the CIMP-low (CIMP-L), and 89 (30.3%) in the non-CIMP group. The CIMP-H group was associated with microsatellite instability-high tumors, hypermethylation of MLH1, older age, and right-sided tumors. Our results showed that genome-wide methylation analyses classified patients with CRC into three subgroups according to CIMP levels, with clinical and molecular features consistent with previous data.

Spontaneous Speech Emotion Recognition Based On Spectrogram With Convolutional Neural Network (CNN 기반 스펙트로그램을 이용한 자유발화 음성감정인식)

  • Guiyoung Son;Soonil Kwon
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.6
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    • pp.284-290
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    • 2024
  • Speech emotion recognition (SER) is a technique that is used to analyze the speaker's voice patterns, including vibration, intensity, and tone, to determine their emotional state. There has been an increase in interest in artificial intelligence (AI) techniques, which are now widely used in medicine, education, industry, and the military. Nevertheless, existing researchers have attained impressive results by utilizing acted-out speech from skilled actors in a controlled environment for various scenarios. In particular, there is a mismatch between acted and spontaneous speech since acted speech includes more explicit emotional expressions than spontaneous speech. For this reason, spontaneous speech-emotion recognition remains a challenging task. This paper aims to conduct emotion recognition and improve performance using spontaneous speech data. To this end, we implement deep learning-based speech emotion recognition using the VGG (Visual Geometry Group) after converting 1-dimensional audio signals into a 2-dimensional spectrogram image. The experimental evaluations are performed on the Korean spontaneous emotional speech database from AI-Hub, consisting of 7 emotions, i.e., joy, love, anger, fear, sadness, surprise, and neutral. As a result, we achieved an average accuracy of 83.5% and 73.0% for adults and young people using a time-frequency 2-dimension spectrogram, respectively. In conclusion, our findings demonstrated that the suggested framework outperformed current state-of-the-art techniques for spontaneous speech and showed a promising performance despite the difficulty in quantifying spontaneous speech emotional expression.

A Study on the Hydrothermal Vent in the Mariana Trench using Magnetic and Bathymetry Data (지자기자료 및 정밀해저지형자료를 이용한 마리아나 해구 해저 열수광상 연구)

  • Kim, Chang-Hwan;Kim, Ho;Jeong, Eui-Young;Park, Chan-Hong;Go, Young-Tak;Lee, Seung-Hoon
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.14 no.1
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    • pp.22-40
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    • 2009
  • Detailed bathymetry and magnetic survey data for NW Rota-1 and Esmeralda Bank obtained by R/V Onnuri of Korea Ocean Research & Development Institute in September 2007 were analyzed to investigate bathymetry and magnetic characteristics of the study area and to estimate the locations of possible hydrothermal vents. The shape of NW Rota-1 is corn type, and the depth of the summit is about 500 meter b.s.l. NW Rota-1 shows irregular topographic expression in the southeastern part. The shape of Esmeralda Bank is caldera type opened in the western part. The summit is very shallow, about 50 meter b.s.l. The western part of Esmeralda Bank is more steeper and topographic irregular than the eastern part, and have the valley made by erosion or collapse. The magnetic anomaly patterns of NW Rota-1 and Esmeralda Bank show low anomalies over the north and high anomalies over the south. The magnetic anomalies are steep over the summits and gently smooth over the deep bottom. The low magnetization zone occurs over the summit of NW Rota-1 and is surrounded by the high zones correlated with its crater. Two low magnetization zones are located in the summit and westside of Esmeralda Bank. The low magnetization zones of the summits of NW Rota-1 and Esmeralda Bank suggest the possible existence of hydrothermal vent.

Menstrual Experience of Adolescent Girls (사춘기 여성들의 월경경험)

  • 정현숙
    • Journal of Korean Academy of Nursing
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    • v.26 no.2
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    • pp.257-270
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    • 1996
  • Studies on menstruation have focused only on menstruation itself and menstrual disorders. The menstruating girls or women have been neglected. So, the purpose of this study was to understand menstrual experience of adolescent girls in their perspective and build a theory on it, The specific purpose of this study were to find initial reaction of the girls, their strategies to adapt to menstruation. consequences of their efforts, influencing factor, and patterns of experience. The subjects of this study were eleven adolescent girls who experienced menarche three months to twenty-six months before the interview time. They were selected purposively. Their ages were in range of twelve and sixteen. One of them was a elementary school girl, three high school girls, and seven middle school girls. Two girls were handicapped because of cerebral palsy. All of them had some knowledge about menstrual physiology and hygiene during menstruation. Data were collected from September, 1994 to July, 1995. Data collection & analysis were done according to the grounded theory methodology by Strauss & Corbin(1990). Data collecting method was the long interviews and observation. Each interview took from 1 hour to 2 hours. Interview were tape-recorded and transcribed later by author. Data were analyzed immediately after interviews. Based on the results of previous interview, next interview were planned until gathered data reached the saturation point. Results were as follows. One hundred and six concepts were found. Those concepts were grouped into twenty eight categories and then fourteen higher categories. Twenty eight categories were as follows. “want to hide”, “bewildered”, “sense of burden”, “sense of heterogeneity”. “gladness”. “sense of superiority”, “negative empathy”, “positive empathy”, “limited hygenic control”, “sense of timing”, “lack of knowledge”, “lack of support”, “advance knowledge”, “informational support”, “emotional support”, “endurance”, “prayer”, “disclosing”, “avoidance”, “diversion”, “sense of powerlessness”, “discovery of sex identity”, “sense of maturation”, “sense of stability”, “acceptance of menstruation ”. fourteen higher categories were as follows. “negative feeling”, “posive feeling”, “exchange of feeling”, “limited hygenic control”, “sense of timing”, “accumulated experience”, “dysmenorrhea”, “level of knowledge”, “need for support”, “perceived support”, “sharing of feeling”, “self-control”, “passive acceptance”, “active acceptance”. The core category was “emotional shaking”, which consisted of “positive feeling” and “negative feeling”. “Emotional shaking”comes up to every adolescent girls experiencing menarche, independently of any contextual conditions, and its dimension has two directions : positive one and negative one. Its influencing factors were time of menarche, advance knowledge, support from the significant persons, expression and self-regulation. Even if they showed different process of adaptation to menstruation, general process of adaptation were as follows : 1. stage of emotional shaking 2. stage of acceptance 3. stage of internalization of the menstrual experience. Seven patterns existed on the process of adaptation to menstruation after menarche. Those are as follows. 1. If girls thought their menarche came too early and they had not much knowledge on menstruation, they had a kind of negative feeling. If they did not get enough support and dysmenorrhea superimposed, they came to accept menstruation passively. 2. If girls had menarche too early. they had negative feeling, even though they had enough advance knowledge. But support helped them accept menstruation easily. 3. If girls had menarche too early, they had negative feeling, even though they had enough advance knowledge on menstruation. But by experiencing subsequent menstruations and disclosing feeling, they began to accept menstruation. 4. If girls had menarche too lately and they had enough advance knowledge on menstruation. they had positive feeling. If dysmenorrhea superimposed later, their feeling turned in to negative one. But they came to accept menstruation positively by disclosing feeling and getting support. 5. If girls had menarche too early, they had negative feeling, even though they had enough advance knowledge on menstruation. In addition to this. if dysmenorrhes superimposed while they did not get enough support, they felt powerless and came to accept menstruation passively. 6. If girls had menarche too early and did not get enough advance knowledge, they had negative feeling. But disclosing feeling and support made them get sense of homogeneity and began to accept menstruation. 7. If girls had handicap, they had negative feeling, even though they had enough advance knowledge and menarche was late. But Menarche made them get feel sexual identity. Their limited hygenic control and negative empathy from their mothers made them accept menstruation passively. To let adolescent girls take their menstrual experience as a part of their lives forming a positive sense of feminine identity, it needs qualified teaching and, support and deep concern of the significant others. Nurses including school nurses should try to develop an educational program, which include menstrual physiology. hygiene during menstrual period, meaning of menstruation and impact of menstruation on the development of female sexual identity.

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Characterization of Salt Tolerant Rice Mutant Lines Derived from Azetidine-2-Carboxylic Acid Resistant Cell Lines Induced by Gamma Ray Irradiation (AZCA 저항성 돌연변이 세포주로부터 선발 육성만 내염성 벼 돌연변이 계통의 특성 검정)

  • Song, Jae-Young;Kim, Dong-Sub;Lee, Geung-Joo;Lee, In-Sok;Kang, Kwon-Kyoo;Yun, Song-Joong;Kang, Si-Yong
    • Journal of Plant Biotechnology
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    • v.34 no.1
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    • pp.61-68
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    • 2007
  • To develop rice (Oryza sativa L.) cultivars to be planted on salt-affected sites, cell lines with enhanced proline content and resistance to growth inhibition by Azetidine-2-carboxylic acid (AZCA), a proline analogue, were screened out among calli irradiated with gamma ray of 50, 70, 90, and 120 Gy. The calli had been derived from embryo culture of the cultivar Donganbyeo. Selected AZCA resistant lines that had high proline accumulation were used as sources for selection of NaCl resistant lines. To determine an optimum concentration for selection of NaCl resistant lines, Donganbyeo seeds were initially cultured on the media containing various NaCl concentrations (0 to 2.5%) for 40 days, and 1.5% NaCl concentration was determined as the optimum concentration. One hundred sixteen salt-tolerant (ST) lines were selected from bulked 20,000 seeds of the AZCA resistant $M_{3}$ seeds in the medium containing 1.5% NaCl. The putative 33 lines ($M_{4}$ generation) considered with salt-tolerance were further analyzed for salt tolerance, amino acid and ion contents, and expression patterns of the salt tolerance-related genes. Out of the 33 lines, 7 lines were confirmed to have superior salt tolerance. Based on growth comparison of the entries, the selected mutant lines exhibited greater shoot length with average 1.5 times, root length with 1.3 times, root numbers with 1.1 times, and fresh weight with 1.5 times than control. Proline contents were increased maximum 20%, 100% and 20% in the leaf, seed and callus, respectively, of the selected lines. Compared to control, amino acid contents of the mutants were 24 to 29%, 49 to 143%, 32 to 60% higher in the leaf, seed and callus, respectively. The ratio of $Na^{+}/K^{+}$ for most of the ST-lines were lower than that of control, ranging from 1.0 to 3.8 for the leaf and 11.5 to 28.5 for the root, while the control had 3.5 and 32.9 in the leaf and root, respectively. The transcription patterns for the P5CS and NHXI genes observed by RT-PCR analysis indicated that these genes were actively expressed under salt stress. The selected mutants will be useful for the development of rice cultivar resistant to salt stress.

A MOLECULAR BIOLOGIC STUDY ON BIOCOMPATIBILITY OF METALLIC DENTAL MATERIALS USED FOR CHILDREN WITH CULTURED HUMAN GINGIVAL FIBROBLASTS (인체 섬유모세포(HGF-1) 배양에서 소아용 치과금속재의 세포친화성에 대한 분자생물학적 연구)

  • Kim, Ju-Mi;Jeong, Tae-Sung;Kim, Shin
    • Journal of the korean academy of Pediatric Dentistry
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    • v.29 no.2
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    • pp.243-254
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    • 2002
  • For the purpose of evaluating the biocompatability of 3 kinds of metallic materials frequently used in pediatric dentistry (stainless steel crown, orthodontic band, orthodontic wire), cellular and molecular studies, including cell growth and proliferation, screening of cell death with determination of types whether necrosis or apoptosis and changes in expressions of related signaling molecules were examined, using cultured human gingival fibroblasts (HGF-1), HGF-1 was cultured in Dulbecco's modified Eagle's medium. among which the 3rd to 6th generations of HGF-1 were used. The specimen were divided into stainless steel crown (R), band (B) and wire (W). The immunocytochemical study was done for the detection of anti-PCNA (proliferating cell nuclear antigen) labeling. With extracted protein, western blot was done for the detection of ERK1/2, JNK, and p38, using individual antibodies. Cultured cells proliferated, remarkably till 7 day and slightly at 11 day. There was no statistical significance in the counts of proliferating HGF-1 between control and experimental groups (p>0.05). Relative growth rates were no statistically significant difference between control and experimental groups (p>0.05). PCNA labeling indexes showing similar patterns in control and experimental groups. The expressions of ERK1 and ERK2, p38 were similar in control and experimental groups. The expression of JNK increased at 1st day, slightly decreased at 4th day and markedly increased at 7th and 11 day. Although the patterns of control and experimental groups were similar, the increased expressions of JNK at late period suggest a possible stress due to inhibited cell growth and proliferation, and worse culture condition. Conclusively, the 3 kinds of metal specimens used in this study did not induce cellular and molecular hazards during short term culture of HGF-1. But, for the better clinical stability, the establishment of long period culture and animal experiment was thought necessary.

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Recommender system using BERT sentiment analysis (BERT 기반 감성분석을 이용한 추천시스템)

  • Park, Ho-yeon;Kim, Kyoung-jae
    • Journal of Intelligence and Information Systems
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    • v.27 no.2
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    • pp.1-15
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    • 2021
  • If it is difficult for us to make decisions, we ask for advice from friends or people around us. When we decide to buy products online, we read anonymous reviews and buy them. With the advent of the Data-driven era, IT technology's development is spilling out many data from individuals to objects. Companies or individuals have accumulated, processed, and analyzed such a large amount of data that they can now make decisions or execute directly using data that used to depend on experts. Nowadays, the recommender system plays a vital role in determining the user's preferences to purchase goods and uses a recommender system to induce clicks on web services (Facebook, Amazon, Netflix, Youtube). For example, Youtube's recommender system, which is used by 1 billion people worldwide every month, includes videos that users like, "like" and videos they watched. Recommended system research is deeply linked to practical business. Therefore, many researchers are interested in building better solutions. Recommender systems use the information obtained from their users to generate recommendations because the development of the provided recommender systems requires information on items that are likely to be preferred by the user. We began to trust patterns and rules derived from data rather than empirical intuition through the recommender systems. The capacity and development of data have led machine learning to develop deep learning. However, such recommender systems are not all solutions. Proceeding with the recommender systems, there should be no scarcity in all data and a sufficient amount. Also, it requires detailed information about the individual. The recommender systems work correctly when these conditions operate. The recommender systems become a complex problem for both consumers and sellers when the interaction log is insufficient. Because the seller's perspective needs to make recommendations at a personal level to the consumer and receive appropriate recommendations with reliable data from the consumer's perspective. In this paper, to improve the accuracy problem for "appropriate recommendation" to consumers, the recommender systems are proposed in combination with context-based deep learning. This research is to combine user-based data to create hybrid Recommender Systems. The hybrid approach developed is not a collaborative type of Recommender Systems, but a collaborative extension that integrates user data with deep learning. Customer review data were used for the data set. Consumers buy products in online shopping malls and then evaluate product reviews. Rating reviews are based on reviews from buyers who have already purchased, giving users confidence before purchasing the product. However, the recommendation system mainly uses scores or ratings rather than reviews to suggest items purchased by many users. In fact, consumer reviews include product opinions and user sentiment that will be spent on evaluation. By incorporating these parts into the study, this paper aims to improve the recommendation system. This study is an algorithm used when individuals have difficulty in selecting an item. Consumer reviews and record patterns made it possible to rely on recommendations appropriately. The algorithm implements a recommendation system through collaborative filtering. This study's predictive accuracy is measured by Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Netflix is strategically using the referral system in its programs through competitions that reduce RMSE every year, making fair use of predictive accuracy. Research on hybrid recommender systems combining the NLP approach for personalization recommender systems, deep learning base, etc. has been increasing. Among NLP studies, sentiment analysis began to take shape in the mid-2000s as user review data increased. Sentiment analysis is a text classification task based on machine learning. The machine learning-based sentiment analysis has a disadvantage in that it is difficult to identify the review's information expression because it is challenging to consider the text's characteristics. In this study, we propose a deep learning recommender system that utilizes BERT's sentiment analysis by minimizing the disadvantages of machine learning. This study offers a deep learning recommender system that uses BERT's sentiment analysis by reducing the disadvantages of machine learning. The comparison model was performed through a recommender system based on Naive-CF(collaborative filtering), SVD(singular value decomposition)-CF, MF(matrix factorization)-CF, BPR-MF(Bayesian personalized ranking matrix factorization)-CF, LSTM, CNN-LSTM, GRU(Gated Recurrent Units). As a result of the experiment, the recommender system based on BERT was the best.

Exploring Mask Appeal: Vertical vs. Horizontal Fold Flat Masks Using Eye-Tracking (마스크 매력 탐구: 아이트래킹을 활용한 수직 접이형 대 수평 접이형 마스크 비교 분석)

  • Junsik Lee;Nan-Hee Jeong;Ji-Chan Yun;Do-Hyung Park;Se-Bum Park
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.271-286
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    • 2023
  • The global COVID-19 pandemic has transformed face masks from situational accessories to indispensable items in daily life, prompting a shift in public perception and behavior. While the relaxation of mandatory mask-wearing regulations is underway, a significant number of individuals continue to embrace face masks, turning them into a form of personal expression and identity. This phenomenon has given rise to the Fashion Mask industry, characterized by unique designs and colors, experiencing rapid growth in the market. However, existing research on masks is predominantly focused on their efficacy in preventing infection or exploring attitudes during the pandemic, leaving a gap in understanding consumer preferences for mask design. We address this gap by investigating consumer perceptions and preferences for two prevalent mask designs-horizontal fold flat masks and vertical fold flat masks. Through a comprehensive approach involving surveys and eye-tracking experiments, we aim to unravel the subtle differences in how consumers perceive these designs. Our research questions focus on determining which design is more appealing and exploring the reasons behind any observed differences. The study's findings reveal a clear preference for vertical fold flat masks, which are not only preferred but also perceived as unique, sophisticated, three-dimensional, and lively. The eye-tracking analysis provides insights into the visual attention patterns associated with mask designs, highlighting the pivotal role of the fold line in influencing these patterns. This research contributes to the evolving understanding of masks as a fashion statement and provides valuable insights for manufacturers and marketers in the Fashion Mask industry. The results have implications beyond the pandemic, emphasizing the importance of design elements in sustaining consumer interest in face masks.