Pub Date : 2018-09-01DOI: 10.1109/ICAWST.2018.8517224
Chiun-Li Chin, Zih-Yi Yang, Rui-Cih Su, Cheng-Shiun Yang
Many people are concerned about their facial skin maintenance. Rough pore is one of the facial skin problems which annoyed many people. The size of facial pore is tiny, and it has various shapes. Therefore, it is difficult to recognize facial pore by using traditional image processing. In this paper, we propose an approach based on convolutional neural networks (CNNs) to develop a facial pore aided detection system. We use the LeNet−5 model as our benchmark architecture, and investigate the performance of different depths network on our facial pore dataset. The facial pore aided detection system will help people understand more about their facial skin problems and properly keep their facial skin well.
{"title":"A Facial Pore Aided Detection System Using CNN Deep Learning Algorithm","authors":"Chiun-Li Chin, Zih-Yi Yang, Rui-Cih Su, Cheng-Shiun Yang","doi":"10.1109/ICAWST.2018.8517224","DOIUrl":"https://doi.org/10.1109/ICAWST.2018.8517224","url":null,"abstract":"Many people are concerned about their facial skin maintenance. Rough pore is one of the facial skin problems which annoyed many people. The size of facial pore is tiny, and it has various shapes. Therefore, it is difficult to recognize facial pore by using traditional image processing. In this paper, we propose an approach based on convolutional neural networks (CNNs) to develop a facial pore aided detection system. We use the LeNet−5 model as our benchmark architecture, and investigate the performance of different depths network on our facial pore dataset. The facial pore aided detection system will help people understand more about their facial skin problems and properly keep their facial skin well.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"2022 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127971944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICAWST.2018.8517255
Yung-Fu Huang, Ming-Wei Weng, K. Lai, Manh‐Hoang Do, R. Su
International franchisers have been generally regarded as market seekers who exploit their firm-specific capabilities overseas. The use of radio frequency identification (RFID) technology for international franchisers plays a key role in improving service reliability and satisfaction. This paper focuses on filling the gap in theoretical and empirical knowledge of inventory management practices of franchise-friendly supply chain in Taiwan. A real case in Taiwan franchise industry is quoted to build a corresponding two warehouse inventory model. The objective is to examines the total cost that can be achieved by one frozen central kitchen (FCK) and multi-branch through RFID technology in franchiser system.
{"title":"RFID impacts on franchise-friendly supply chain","authors":"Yung-Fu Huang, Ming-Wei Weng, K. Lai, Manh‐Hoang Do, R. Su","doi":"10.1109/ICAWST.2018.8517255","DOIUrl":"https://doi.org/10.1109/ICAWST.2018.8517255","url":null,"abstract":"International franchisers have been generally regarded as market seekers who exploit their firm-specific capabilities overseas. The use of radio frequency identification (RFID) technology for international franchisers plays a key role in improving service reliability and satisfaction. This paper focuses on filling the gap in theoretical and empirical knowledge of inventory management practices of franchise-friendly supply chain in Taiwan. A real case in Taiwan franchise industry is quoted to build a corresponding two warehouse inventory model. The objective is to examines the total cost that can be achieved by one frozen central kitchen (FCK) and multi-branch through RFID technology in franchiser system.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116582532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICAWST.2018.8517230
Cheng-Yih Hong, Yi-Chi Tsai, Tsai-Rong Lee
the year 2011 earthquake in Northeast Japan and the incident of Fukushima nuclear power plant has inspired energy policy in Taiwan to be reevaluated. The Non-nuclear homeland project announced in 2017 has declared a nuclear free energy policy to adjust energy proportion to replace nuclear power by renewable energy before year 2025. This study mainly focuses on the evaluation of the economic effects generated by solar power investment. This study also compared the CO2 reduction contribution of replacing coal-fire electricity by solar power and wind power. The empirical result of our energy and environment in dynamic input-output models revealed the total economic effect induced by renewable energy investment would reach US $95,989.70 million. The CO2 emission could be reduced by 95-98% when replacing coal-fire electricity by solar power and wind power. Such findings have illustrated the economic benefit and CO2 reduction contribution for renewable energy transition.
{"title":"Energy Transition, Economic Growth, and CO2 Emission: An Application of Energy and Environment in Dynamic Input-Output Models","authors":"Cheng-Yih Hong, Yi-Chi Tsai, Tsai-Rong Lee","doi":"10.1109/ICAWST.2018.8517230","DOIUrl":"https://doi.org/10.1109/ICAWST.2018.8517230","url":null,"abstract":"the year 2011 earthquake in Northeast Japan and the incident of Fukushima nuclear power plant has inspired energy policy in Taiwan to be reevaluated. The Non-nuclear homeland project announced in 2017 has declared a nuclear free energy policy to adjust energy proportion to replace nuclear power by renewable energy before year 2025. This study mainly focuses on the evaluation of the economic effects generated by solar power investment. This study also compared the CO2 reduction contribution of replacing coal-fire electricity by solar power and wind power. The empirical result of our energy and environment in dynamic input-output models revealed the total economic effect induced by renewable energy investment would reach US $95,989.70 million. The CO2 emission could be reduced by 95-98% when replacing coal-fire electricity by solar power and wind power. Such findings have illustrated the economic benefit and CO2 reduction contribution for renewable energy transition.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"467-469 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125479784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICAWST.2018.8517237
Y. Shiao, Wei-Hsiang Chung, R. Chen
Nowadays, people rely on bike renting service for transportation in short distance to replace walking. It is more convenient and faster for people to transfer from place to place. Public transportation is very popular for people to go to work or school. However, there might not be so many stations to let everyone arrive at the place where they want to go. If it takes too much time from stations to destination, it will make people have less willingness in taking public transportations. Bike renting system like U-bike solves this problem. The need for bike renting leads to a question of setting bike rental locations and the number of bikes in each place, by predicting the number of people renting bikes in each position can make it easier for governments to assign bikes to each position. When predicting the bike rent amount, there are lots of features to consider with, like the weather, time, holiday. Using more features doesn’t mean to be better, so the selection of the feature is essential. In this paper, we proposed a method which will combine random forest and support vector machine to predict the bike rental amount from the last hour. Experiments results will discuss random forest, super vector machine and the combination of the two methods results.
{"title":"Using SVM and Random forest for different features selection in predicting bike rental amount","authors":"Y. Shiao, Wei-Hsiang Chung, R. Chen","doi":"10.1109/ICAWST.2018.8517237","DOIUrl":"https://doi.org/10.1109/ICAWST.2018.8517237","url":null,"abstract":"Nowadays, people rely on bike renting service for transportation in short distance to replace walking. It is more convenient and faster for people to transfer from place to place. Public transportation is very popular for people to go to work or school. However, there might not be so many stations to let everyone arrive at the place where they want to go. If it takes too much time from stations to destination, it will make people have less willingness in taking public transportations. Bike renting system like U-bike solves this problem. The need for bike renting leads to a question of setting bike rental locations and the number of bikes in each place, by predicting the number of people renting bikes in each position can make it easier for governments to assign bikes to each position. When predicting the bike rent amount, there are lots of features to consider with, like the weather, time, holiday. Using more features doesn’t mean to be better, so the selection of the feature is essential. In this paper, we proposed a method which will combine random forest and support vector machine to predict the bike rental amount from the last hour. Experiments results will discuss random forest, super vector machine and the combination of the two methods results.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130635095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICAWST.2018.8517239
H. Chien, Yuh-Min Tseng, Ruo-Wei Hung
Applying Internet-of-Things (IoT) technologies in agriculture not only can reduce the man efforts but also improve the productivity and the efficiency. Through the IoT technologies, one can collect various data like luminosity, temperature, humidity, PH value, etc to analyze and control the facilities. In this study, we focus on exploring the application of the infra-red data on agriculture IoT systems, in addition to the design of our green-house IoT system. Through the infra-red data, we can analyze various biological data of the plants and the fruits. Based on several low-cost devices (like Raspberry pi, NoIR camera, thermal camera, various sensors), some open source platforms, and the Splunk software, we design and build an green-house IoT system that not only collects various environment data but also analyze the biological data of plants via the infra-red data. Some preliminary experiments and analysis are given in this paper. The results show that low-cost infra-red devices could have a great potential contribution to improving agriculture practice.
{"title":"Some Study of Applying Infra-Red in Agriculture IoT","authors":"H. Chien, Yuh-Min Tseng, Ruo-Wei Hung","doi":"10.1109/ICAWST.2018.8517239","DOIUrl":"https://doi.org/10.1109/ICAWST.2018.8517239","url":null,"abstract":"Applying Internet-of-Things (IoT) technologies in agriculture not only can reduce the man efforts but also improve the productivity and the efficiency. Through the IoT technologies, one can collect various data like luminosity, temperature, humidity, PH value, etc to analyze and control the facilities. In this study, we focus on exploring the application of the infra-red data on agriculture IoT systems, in addition to the design of our green-house IoT system. Through the infra-red data, we can analyze various biological data of the plants and the fruits. Based on several low-cost devices (like Raspberry pi, NoIR camera, thermal camera, various sensors), some open source platforms, and the Splunk software, we design and build an green-house IoT system that not only collects various environment data but also analyze the biological data of plants via the infra-red data. Some preliminary experiments and analysis are given in this paper. The results show that low-cost infra-red devices could have a great potential contribution to improving agriculture practice.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132445645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Motor imagery (MI) based brain-computer interface (BCI) is an important technology for the rehabilitation of motor injured. Although it has been developing for a long time, the recognition of MI location with high spatial resolution still faces great challenges. In this paper, we explored the performance of hybrid paradigm used to recognize MI task of right hand versus right forearm. Seven subjects participated in this study, who were required to imagine clenching hand and lifting forearm under MI and hybrid paradigm respectively. MI paradigm asked subjects to only perform the motor imagery tasks, while in the hybrid paradigm, subjects were given electrical stimulation during imagination. Hybrid paradigm requires subjects perform the same tasks in the same way as MI paradigm and not to pay attention to electrical stimulation deliberately. The time-frequency analysis showed that both the ERD and steady-state somatosensory evoked potential (SSSEP) features could be induced during the hybrid paradigm. Classification results show that the mean classification accuracy of the hybrid paradigm reaches 83%, which is significantly higher than the MI paradigm, with an increase around 14%. This indicates that the hybrid paradigm proposed in this paper can effectively improve the spatial resolution of MI location, which can promote MI-BCI system to complete the reach-andgrasp action naturally.
{"title":"A Hybrid Brain Computer Interface Driven by Motor Imagery of Right Hand Versus Right Forearm","authors":"Zhitang Chen, Xin Zhao, Zhongpeng Wang, Kun Wang, Weibo Yi, Feng He, Hongzhi Qi","doi":"10.1109/ICAWST.2018.8517173","DOIUrl":"https://doi.org/10.1109/ICAWST.2018.8517173","url":null,"abstract":"Motor imagery (MI) based brain-computer interface (BCI) is an important technology for the rehabilitation of motor injured. Although it has been developing for a long time, the recognition of MI location with high spatial resolution still faces great challenges. In this paper, we explored the performance of hybrid paradigm used to recognize MI task of right hand versus right forearm. Seven subjects participated in this study, who were required to imagine clenching hand and lifting forearm under MI and hybrid paradigm respectively. MI paradigm asked subjects to only perform the motor imagery tasks, while in the hybrid paradigm, subjects were given electrical stimulation during imagination. Hybrid paradigm requires subjects perform the same tasks in the same way as MI paradigm and not to pay attention to electrical stimulation deliberately. The time-frequency analysis showed that both the ERD and steady-state somatosensory evoked potential (SSSEP) features could be induced during the hybrid paradigm. Classification results show that the mean classification accuracy of the hybrid paradigm reaches 83%, which is significantly higher than the MI paradigm, with an increase around 14%. This indicates that the hybrid paradigm proposed in this paper can effectively improve the spatial resolution of MI location, which can promote MI-BCI system to complete the reach-andgrasp action naturally.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132501740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICAWST.2018.8517174
H. Takagi, Keisuke Ikeda, WeiQiang Lai
We propose an awareness support system that helps a user to be aware of the reason of his/her evaluations. Based on our proposed definition of human awareness mechanism, we extract hidden factors of input information using an autoencoder neural networks and implement its decoder part into an awareness support system. The big feature of this system is to let a user change the values of the extracted hidden factors manually and observe the system outputs that change according to the changes of hidden factors. Experimental results using a task of generating facial emotions with 21 human subjects have shown the effectiveness of this approach.
{"title":"Human Awareness Support by Changing Values of Hidden Factors of Input Stimuli Dynamically","authors":"H. Takagi, Keisuke Ikeda, WeiQiang Lai","doi":"10.1109/ICAWST.2018.8517174","DOIUrl":"https://doi.org/10.1109/ICAWST.2018.8517174","url":null,"abstract":"We propose an awareness support system that helps a user to be aware of the reason of his/her evaluations. Based on our proposed definition of human awareness mechanism, we extract hidden factors of input information using an autoencoder neural networks and implement its decoder part into an awareness support system. The big feature of this system is to let a user change the values of the extracted hidden factors manually and observe the system outputs that change according to the changes of hidden factors. Experimental results using a task of generating facial emotions with 21 human subjects have shown the effectiveness of this approach.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127911976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICAWST.2018.8517242
Shao-Kuo Tai, Yi-Shun Lo
Liver cancer is one of the most critical health problems in the world. The grading diagnosis for liver cancer in biopsy images is essential for the treatment of liver cancer and disease prognosis. A grading system that uses artificial intelligence to provide quantitative and objective results for physicians and pathologists; it will not only save time but also improve the accuracy of diagnosis. In the grading system, the main work is grading with the nucleus segmented from cancer biopsy images. However, improper focus and complex stroma background will affect the performance of segmentation. If we can evaluate segmentation of the nucleus and exclude the failed segmentation from the grading system, it will significantly improve the accuracy of the grading. In this paper, we propose a method with deep learning for evaluating the segmentation of liver nucleus, and the experimental results demonstrate that the performance of our method is 90.5%.
{"title":"Using Deep Learning to Evaluate the Segmentation of Liver Cell from Biopsy Image","authors":"Shao-Kuo Tai, Yi-Shun Lo","doi":"10.1109/ICAWST.2018.8517242","DOIUrl":"https://doi.org/10.1109/ICAWST.2018.8517242","url":null,"abstract":"Liver cancer is one of the most critical health problems in the world. The grading diagnosis for liver cancer in biopsy images is essential for the treatment of liver cancer and disease prognosis. A grading system that uses artificial intelligence to provide quantitative and objective results for physicians and pathologists; it will not only save time but also improve the accuracy of diagnosis. In the grading system, the main work is grading with the nucleus segmented from cancer biopsy images. However, improper focus and complex stroma background will affect the performance of segmentation. If we can evaluate segmentation of the nucleus and exclude the failed segmentation from the grading system, it will significantly improve the accuracy of the grading. In this paper, we propose a method with deep learning for evaluating the segmentation of liver nucleus, and the experimental results demonstrate that the performance of our method is 90.5%.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128722261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICAWST.2018.8517175
Kenta Katayama, Hideyuki Takahashi, N. Yokota, K. Sugiyasu, Tetsuo Kinoshita
Huge Disasters such as big earthquakes, tsunamis, typhoons and eruptions occur all over the world, so system for disaster prevention is expected. Especially, tsunamis by big earthquake cause serious damage. We propose an evacuation guidance support using multi-UAVs and aim to decrease the damage by tsunamis. Specifically, software agent decide the safest evacuation guidance route for UAVs based on the disaster situations, the elevation of evacuation route and the distance from the route to coastline etc. In addition, the agent changes the route flexibly according to the disaster situation while evacuation guidance. Also, we aim to perform evacuation guidance support effectively by the function of efficient evacuation guidance and helping for the UAV that cannot work, that is realized by cooperation of multi-UAVs. In this paper, we describe the approach to decide the evacuation guidance route for UAV and change the route flexibly. In addition, we describe the function of cooperation of multi-UAVs. We performed experiments on path re-planning according to disaster situation in simulation and flight of UAV in real world to confirm the effectiveness of our approach.
{"title":"Design and Implementation of Multiagent-based Evacuation Guidance Support System using UAVs","authors":"Kenta Katayama, Hideyuki Takahashi, N. Yokota, K. Sugiyasu, Tetsuo Kinoshita","doi":"10.1109/ICAWST.2018.8517175","DOIUrl":"https://doi.org/10.1109/ICAWST.2018.8517175","url":null,"abstract":"Huge Disasters such as big earthquakes, tsunamis, typhoons and eruptions occur all over the world, so system for disaster prevention is expected. Especially, tsunamis by big earthquake cause serious damage. We propose an evacuation guidance support using multi-UAVs and aim to decrease the damage by tsunamis. Specifically, software agent decide the safest evacuation guidance route for UAVs based on the disaster situations, the elevation of evacuation route and the distance from the route to coastline etc. In addition, the agent changes the route flexibly according to the disaster situation while evacuation guidance. Also, we aim to perform evacuation guidance support effectively by the function of efficient evacuation guidance and helping for the UAV that cannot work, that is realized by cooperation of multi-UAVs. In this paper, we describe the approach to decide the evacuation guidance route for UAV and change the route flexibly. In addition, we describe the function of cooperation of multi-UAVs. We performed experiments on path re-planning according to disaster situation in simulation and flight of UAV in real world to confirm the effectiveness of our approach.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127312031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ICAWST.2018.8517245
Yasuo Ebara, Tomoya Uetsuji, Minoru Kamata, K. Koyamada
In psychological counseling, beginner counselors tend to force the client the interpretation by the counselor himself. Therefore, the amount of utterance by the beginner conselor become larger than that of the client and use the closedended question at high rates to confirm the image of the client created with their own interests. The opportunity of education is referred to as the supervision that expert counselors advice for beginner counselors is provided. However, the verbatim record of conversation documents in counseling used in the supervision are large-scale and complex. Expert counselors is very difficult to extract the characteristics and situation of conversation between the beginner counselor and the client. To improve the problem, we proposed the system for visualizing the conversation documents in the psychological counseling. Next, we evaluated to use this system by some counselors to verify the effectiveness of this proposed system. From this evaluation, the results were obtained from most estimators that these visualization results have a high tendency to be easily understandable. Moreover, we conducted the comparative evaluation by working the same task in the cases of reading only the original text and the use of this proposed system for the conversation documents in actual counseling. As the results, we showed that the task using this proposed system is easier to understand in all of the evaluation items.
{"title":"Development of Visualization System to Analyze Conversation Documents in Psychological Counseling","authors":"Yasuo Ebara, Tomoya Uetsuji, Minoru Kamata, K. Koyamada","doi":"10.1109/ICAWST.2018.8517245","DOIUrl":"https://doi.org/10.1109/ICAWST.2018.8517245","url":null,"abstract":"In psychological counseling, beginner counselors tend to force the client the interpretation by the counselor himself. Therefore, the amount of utterance by the beginner conselor become larger than that of the client and use the closedended question at high rates to confirm the image of the client created with their own interests. The opportunity of education is referred to as the supervision that expert counselors advice for beginner counselors is provided. However, the verbatim record of conversation documents in counseling used in the supervision are large-scale and complex. Expert counselors is very difficult to extract the characteristics and situation of conversation between the beginner counselor and the client. To improve the problem, we proposed the system for visualizing the conversation documents in the psychological counseling. Next, we evaluated to use this system by some counselors to verify the effectiveness of this proposed system. From this evaluation, the results were obtained from most estimators that these visualization results have a high tendency to be easily understandable. Moreover, we conducted the comparative evaluation by working the same task in the cases of reading only the original text and the use of this proposed system for the conversation documents in actual counseling. As the results, we showed that the task using this proposed system is easier to understand in all of the evaluation items.","PeriodicalId":277939,"journal":{"name":"2018 9th International Conference on Awareness Science and Technology (iCAST)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124636540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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