Pub Date : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00044
Ching-Sheng Wang, Meng-Lung Lin, Pin-Yu Chen
In recent years, many internationally renowned sightseeing spots and museums have actively developed mobile navigation systems to enhance the navigation effect, but there is still lack of system designed for geopark. Since most of the geology parks have rich geological landscape and topography, the common multimedia navigation system is difficult to present the detailed 3D scenery and appearance, and the navigation effect is limited. Therefore, we take the internationally renowned Yehliu Geopark in Taiwan as an example to develop a virtual reality mobile navigation system that supports multiple 3D display functions. The system can provide various navigation functions such as 3D automatic navigation, free navigation, panoramic image, stereoscopic image, etc., and is supplemented by functions such as tour recommendation and geological knowledge quiz, which can effectively enhance the navigation effect, guide users to learn related geological knowledge, and further enrich the user's navigation experience.
{"title":"Development of a 3D Virtual Reality Mobile Navigation System for Geopark","authors":"Ching-Sheng Wang, Meng-Lung Lin, Pin-Yu Chen","doi":"10.1109/Ubi-Media.2019.00044","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00044","url":null,"abstract":"In recent years, many internationally renowned sightseeing spots and museums have actively developed mobile navigation systems to enhance the navigation effect, but there is still lack of system designed for geopark. Since most of the geology parks have rich geological landscape and topography, the common multimedia navigation system is difficult to present the detailed 3D scenery and appearance, and the navigation effect is limited. Therefore, we take the internationally renowned Yehliu Geopark in Taiwan as an example to develop a virtual reality mobile navigation system that supports multiple 3D display functions. The system can provide various navigation functions such as 3D automatic navigation, free navigation, panoramic image, stereoscopic image, etc., and is supplemented by functions such as tour recommendation and geological knowledge quiz, which can effectively enhance the navigation effect, guide users to learn related geological knowledge, and further enrich the user's navigation experience.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122010908","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00027
Chuan-Feng Chiu, T. Shih, Chi-Yen Lin, Lin Hui, Fitri Utaminingrum
With the advent of new technological, the interaction between people and computers has become more and more inseparable. The human-computer interaction (HCI) technology improves the operations in people's lives, and the gesture recognition is the basic operation and is one of the hot research topics. In this paper, we developed a virtual theater system that using gesture to control the changes between different scene using the Myo armband. The proposed system used a deep learning method to classify dynamic gestures, and then send instructions to the virtual theater. By using this system, users can easily control the scenes and objects in the theater developed by Unity and make the virtual stage more enriched during the performance.
{"title":"Application of Hand Recognition System Based on Electromyography and Gyroscope Using Deep Learning","authors":"Chuan-Feng Chiu, T. Shih, Chi-Yen Lin, Lin Hui, Fitri Utaminingrum","doi":"10.1109/Ubi-Media.2019.00027","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00027","url":null,"abstract":"With the advent of new technological, the interaction between people and computers has become more and more inseparable. The human-computer interaction (HCI) technology improves the operations in people's lives, and the gesture recognition is the basic operation and is one of the hot research topics. In this paper, we developed a virtual theater system that using gesture to control the changes between different scene using the Myo armband. The proposed system used a deep learning method to classify dynamic gestures, and then send instructions to the virtual theater. By using this system, users can easily control the scenes and objects in the theater developed by Unity and make the virtual stage more enriched during the performance.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121915850","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00058
I. Chang, Tzu-Chiang Wang
Cosegmentation aims to segment out similar objects from a set of images with minimum additional information. Most of the existing cosegmentation algorithms assume that the foreground objects should appear in all images of the image set. But under some conditions, if the foreground objects only appear in a few images, the segmentation results are possible to be wrong. The paper proposes a new cosegmentation algorithm which can segment and classify the foreground of different objects even if they do not appear in all images. In our work, an image is considered to contain several kinds of objects. Each object is composed of several object elements; therefore, each image can be expressed in terms of the combination of several object elements. Object elements with similar features could be grouped into one object-element cluster by using a density-clustering algorithm. Moreover, the density-clustering algorithm excludes a few object elements which do not have a sufficient number of similar object elements. During the segmentation process, we de-project the sub-object classes back to images. Observing the distribution of each sub-object classes, we select the appropriate classes as the segmented results through the selection criteria. In the work, an unsupervised multiple-object class framework is proposed, and the segmentation rate is enhanced by introducing the concept of independent object elements. A selection criterion is presented to relax the similar object constraint.
{"title":"Unsupervised Multi-class Cosegmentation","authors":"I. Chang, Tzu-Chiang Wang","doi":"10.1109/Ubi-Media.2019.00058","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00058","url":null,"abstract":"Cosegmentation aims to segment out similar objects from a set of images with minimum additional information. Most of the existing cosegmentation algorithms assume that the foreground objects should appear in all images of the image set. But under some conditions, if the foreground objects only appear in a few images, the segmentation results are possible to be wrong. The paper proposes a new cosegmentation algorithm which can segment and classify the foreground of different objects even if they do not appear in all images. In our work, an image is considered to contain several kinds of objects. Each object is composed of several object elements; therefore, each image can be expressed in terms of the combination of several object elements. Object elements with similar features could be grouped into one object-element cluster by using a density-clustering algorithm. Moreover, the density-clustering algorithm excludes a few object elements which do not have a sufficient number of similar object elements. During the segmentation process, we de-project the sub-object classes back to images. Observing the distribution of each sub-object classes, we select the appropriate classes as the segmented results through the selection criteria. In the work, an unsupervised multiple-object class framework is proposed, and the segmentation rate is enhanced by introducing the concept of independent object elements. A selection criterion is presented to relax the similar object constraint.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127073458","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00030
Chun-Ming Tsai, T. Shou, J. Hsieh, Kuang-Hsuan Chen
Taiwan has many vehicles and as a result many traffic problems. In particular, during the Spring Festival and the holidays, Hsuehshan Tunnel (HST) between Yilan and Taipei is always a traffic jam. To solve this problem, intelligent transportation system (ITS) is necessary, and accurate vehicle detection (VD) is the first stage for ITS. In order to detect vehicles in HST, three training methods based on single shot multibox detector (SSD) are presented to detect four categories of vehicle in the Tunnel. The experimental results demonstrated that the presented three training methods, which only used 1000 training frames, can detect and categorize more vehicles than the pre-trained SSD model which used a large training dataset. Specifically, the SSD trained by our collected data set and data augmentation has the highest detection rates for sedan, van, bus, and truck – 93.6%, 90.9%, 100%, and 100%, respectively.
{"title":"Four Categories Vehicle Detection in Hsuehshan Tunnel via Single Shot Multibox Detector","authors":"Chun-Ming Tsai, T. Shou, J. Hsieh, Kuang-Hsuan Chen","doi":"10.1109/Ubi-Media.2019.00030","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00030","url":null,"abstract":"Taiwan has many vehicles and as a result many traffic problems. In particular, during the Spring Festival and the holidays, Hsuehshan Tunnel (HST) between Yilan and Taipei is always a traffic jam. To solve this problem, intelligent transportation system (ITS) is necessary, and accurate vehicle detection (VD) is the first stage for ITS. In order to detect vehicles in HST, three training methods based on single shot multibox detector (SSD) are presented to detect four categories of vehicle in the Tunnel. The experimental results demonstrated that the presented three training methods, which only used 1000 training frames, can detect and categorize more vehicles than the pre-trained SSD model which used a large training dataset. Specifically, the SSD trained by our collected data set and data augmentation has the highest detection rates for sedan, van, bus, and truck – 93.6%, 90.9%, 100%, and 100%, respectively.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129647229","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00035
Tz-Heng Hsu, Po-Hui Wu, G. Horng, Chao-Chun Chen, Mao-Yuan Pai
In this paper, we propose an adaptive stereoscopic video streaming mechanism using MV-HEVC and 3D-HEVC technologies. When the current available bandwidth is insufficient for delivering all video layers, the mechanism selects the MV-HEVC and 3D-HEVC video pictures near the current playing point with the proposed rate control algorithm. Simulation results show that the proposed adaptive streaming mechanism can provide tolerable video quality under packet loss conditions in wireless networking environment.
{"title":"An Adaptive Stereoscopic Video Streaming Mechanism Using MV-HEVC and 3D-HEVC Technologies","authors":"Tz-Heng Hsu, Po-Hui Wu, G. Horng, Chao-Chun Chen, Mao-Yuan Pai","doi":"10.1109/Ubi-Media.2019.00035","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00035","url":null,"abstract":"In this paper, we propose an adaptive stereoscopic video streaming mechanism using MV-HEVC and 3D-HEVC technologies. When the current available bandwidth is insufficient for delivering all video layers, the mechanism selects the MV-HEVC and 3D-HEVC video pictures near the current playing point with the proposed rate control algorithm. Simulation results show that the proposed adaptive streaming mechanism can provide tolerable video quality under packet loss conditions in wireless networking environment.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123288105","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00037
Moe Hamamoto, Takashi Murakami, Hiroshi Sugimura, M. Isshiki
There are many standards for interconnectivity technology in home networks, and many of them use multicast communications. In these standards, the method to implement IGMP, a protocol for group management of multicast in IPv4, is outside the scope for the standard. Therefore, the operation of IGMP at each terminal may be different depending on the interpretation by the developer of the standard regarding IGMP. Some home routers do not implement IGMP according to any standard, so depending on the combination of the terminal and home router, interconnection using multicast communication may not be possible in some cases. In this paper, we investigate the implementation related to IGMP of home routers that prevent interconnectivity of home network technologies. In addition, we clarify the issue and propose a method to improve interconnectivity in the implementation on the terminal side against the home router issue. Furthermore, evaluation and consideration of the proposed method are described.
{"title":"Resolving IGMP Difference Among Routers and Devices for Improving Interconnectivity in Home Networks","authors":"Moe Hamamoto, Takashi Murakami, Hiroshi Sugimura, M. Isshiki","doi":"10.1109/Ubi-Media.2019.00037","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00037","url":null,"abstract":"There are many standards for interconnectivity technology in home networks, and many of them use multicast communications. In these standards, the method to implement IGMP, a protocol for group management of multicast in IPv4, is outside the scope for the standard. Therefore, the operation of IGMP at each terminal may be different depending on the interpretation by the developer of the standard regarding IGMP. Some home routers do not implement IGMP according to any standard, so depending on the combination of the terminal and home router, interconnection using multicast communication may not be possible in some cases. In this paper, we investigate the implementation related to IGMP of home routers that prevent interconnectivity of home network technologies. In addition, we clarify the issue and propose a method to improve interconnectivity in the implementation on the terminal side against the home router issue. Furthermore, evaluation and consideration of the proposed method are described.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129518425","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00040
U. Rahardja, T. Hariguna, Wiga Maaulana Baihaqi
This study aimed to analyze sentiment opinions to find out the opinions of users on an e-commerce Web. The method used was through analyzing text reviews obtained from customers on an e-commerce website. The algorithm used was k-medoid clustering.
{"title":"Opinion Mining on E-Commerce Data Using Sentiment Analysis and K-Medoid Clustering","authors":"U. Rahardja, T. Hariguna, Wiga Maaulana Baihaqi","doi":"10.1109/Ubi-Media.2019.00040","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00040","url":null,"abstract":"This study aimed to analyze sentiment opinions to find out the opinions of users on an e-commerce Web. The method used was through analyzing text reviews obtained from customers on an e-commerce website. The algorithm used was k-medoid clustering.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130184777","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00060
Siska Wati Dewi Purba, Wu-Yuin Hwang, Shih-Chun Pao
This study utilized an app called Ubiquitous-Physics (U-Physics) to help students to explore inclined plane phenomena in authentic contexts. The study analyzed the inquiry behaviors of students such as interpreting graphs, applying formulas, drawing conclusions, authentic posts, and comments during the learning activities. Furthermore, the correlation between the inquiry behaviors and learning achievement were studied. A total of 35 second-grade students from vocational high school participated in this study. Two experimental activities in a laboratory and authentic contexts were given to students. The results indicated that students who used U-Physics are significantly perform better than students who used traditional tools such as a stopwatch for the inclined plane experiment. Pearson correlations demonstrated that the quantity of posts in authentic contexts had the biggest influence on the learning achievement of students, proving the importance of applying physics concepts in authentic contexts. Additionally, the interview responses showed that most students liked U-Physics and intended to use it in the future to explore physics phenomena and to conduct experiments. The findings indicate that using U-Physics in authentic contexts is very meaningful and can contribute to physics learning.
{"title":"Effect of Ubiquitous Physics App on Learning Achievements in Authentic Contexts","authors":"Siska Wati Dewi Purba, Wu-Yuin Hwang, Shih-Chun Pao","doi":"10.1109/Ubi-Media.2019.00060","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00060","url":null,"abstract":"This study utilized an app called Ubiquitous-Physics (U-Physics) to help students to explore inclined plane phenomena in authentic contexts. The study analyzed the inquiry behaviors of students such as interpreting graphs, applying formulas, drawing conclusions, authentic posts, and comments during the learning activities. Furthermore, the correlation between the inquiry behaviors and learning achievement were studied. A total of 35 second-grade students from vocational high school participated in this study. Two experimental activities in a laboratory and authentic contexts were given to students. The results indicated that students who used U-Physics are significantly perform better than students who used traditional tools such as a stopwatch for the inclined plane experiment. Pearson correlations demonstrated that the quantity of posts in authentic contexts had the biggest influence on the learning achievement of students, proving the importance of applying physics concepts in authentic contexts. Additionally, the interview responses showed that most students liked U-Physics and intended to use it in the future to explore physics phenomena and to conduct experiments. The findings indicate that using U-Physics in authentic contexts is very meaningful and can contribute to physics learning.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129586969","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00043
Anuwat Angkuldee, K. Shih, S. Ruengittinun
Path planning for robot can be useful, it can save time consumed for a robot to move to destination or get stuck by an obstacle. If the robot knows where the obstacles are and knows which way is clear to move to, it can help the robot get to the destination faster and more precise. The objective of this project is to create an algorithm for a robot to plan a path from one position to the destination. This project has four approaches for creating path planning for robot, direction angle algorithm, packet forwarding like algorithm, A* search algorithm, and A* without using GPS algorithm. The later approaches will improve disadvantages in former approaches. This project is created in simulation program called Webots. Result from the last approach can make a robot plan a path from one position to the destination and avoid obstacles when they are detected. However, it is still not very accurate in the positioning system because the robot cannot get its exact position.
{"title":"Apply A* Search for Robot Path Finding","authors":"Anuwat Angkuldee, K. Shih, S. Ruengittinun","doi":"10.1109/Ubi-Media.2019.00043","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00043","url":null,"abstract":"Path planning for robot can be useful, it can save time consumed for a robot to move to destination or get stuck by an obstacle. If the robot knows where the obstacles are and knows which way is clear to move to, it can help the robot get to the destination faster and more precise. The objective of this project is to create an algorithm for a robot to plan a path from one position to the destination. This project has four approaches for creating path planning for robot, direction angle algorithm, packet forwarding like algorithm, A* search algorithm, and A* without using GPS algorithm. The later approaches will improve disadvantages in former approaches. This project is created in simulation program called Webots. Result from the last approach can make a robot plan a path from one position to the destination and avoid obstacles when they are detected. However, it is still not very accurate in the positioning system because the robot cannot get its exact position.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128845361","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 : 2019-08-01DOI: 10.1109/Ubi-Media.2019.00074
Liying Xia, Baichang Zhong
This paper conducted a questionnaire survey to investigate the cooperative and competitive personality of 171 primary school students in the robotics course. Results indicated: (1) The cooperative personality of students is significantly higher than that of competition. (2) There is no significant difference in cooperative and competitive personality between boys and girls. (3) The correlation coefficient between students' cooperative personality and their academic achievement in the robotics course failed to reach significance. (4) There is also a very low-level correlation between students' competitive personality and their academic achievement in the robotics course. Accordingly, this paper proposes that teachers can apply the co-opetition design in the robotics course to provide multiple paths for students with different cooperative and competitive personalities.
{"title":"The Investigation of Primary School Students' Cooperative and Competitive Personality in Robotics Course","authors":"Liying Xia, Baichang Zhong","doi":"10.1109/Ubi-Media.2019.00074","DOIUrl":"https://doi.org/10.1109/Ubi-Media.2019.00074","url":null,"abstract":"This paper conducted a questionnaire survey to investigate the cooperative and competitive personality of 171 primary school students in the robotics course. Results indicated: (1) The cooperative personality of students is significantly higher than that of competition. (2) There is no significant difference in cooperative and competitive personality between boys and girls. (3) The correlation coefficient between students' cooperative personality and their academic achievement in the robotics course failed to reach significance. (4) There is also a very low-level correlation between students' competitive personality and their academic achievement in the robotics course. Accordingly, this paper proposes that teachers can apply the co-opetition design in the robotics course to provide multiple paths for students with different cooperative and competitive personalities.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122248695","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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