Pub Date : 1900-01-01DOI: 10.37789/ijusi.2021.14.1.2
A. Guran, G. Cojocar
The technological progress from the last decades has created the context for new changes in education. Integrating technology in the learning process for school age children is one of the challenges of this decade. Unfortunately, there is no focus on preschoolers that are born digital natives. In this paper, we address the problem of designing edutainment applications for preschoolers with the participation of educational experts, the kindergarten teachers. We describe how we have adapted the activities from the Participatory Design approach in the context of COVID19 pandemic, where social distancing was required, and we had to move all the design activities in an online setting. The results of our investigation show that participatory design is possible even in an online setting, but some limitations are determined by the lack of in-person interaction. At the same time, an advantage due to the flexibility and shared access to resources is underlined.
{"title":"Co-designing Edutainment Applications with Kindergarten Teachers in an Online Setting","authors":"A. Guran, G. Cojocar","doi":"10.37789/ijusi.2021.14.1.2","DOIUrl":"https://doi.org/10.37789/ijusi.2021.14.1.2","url":null,"abstract":"The technological progress from the last decades has created the context for new changes in education. Integrating technology in the learning process for school age children is one of the challenges of this decade. Unfortunately, there is no focus on preschoolers that are born digital natives. In this paper, we address the problem of designing edutainment applications for preschoolers with the participation of educational experts, the kindergarten teachers. We describe how we have adapted the activities from the Participatory Design approach in the context of COVID19 pandemic, where social distancing was required, and we had to move all the design activities in an online setting. The results of our investigation show that participatory design is possible even in an online setting, but some limitations are determined by the lack of in-person interaction. At the same time, an advantage due to the flexibility and shared access to resources is underlined.","PeriodicalId":348414,"journal":{"name":"International Joural of User-System Interaction","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125182640","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 : 1900-01-01DOI: 10.37789/ijusi.2021.14.3.2
G. Gorghiu, E. Santi, Costin Pribeanu
{"title":"Opportunities for the development of students’ skills and creativity during the pandemic","authors":"G. Gorghiu, E. Santi, Costin Pribeanu","doi":"10.37789/ijusi.2021.14.3.2","DOIUrl":"https://doi.org/10.37789/ijusi.2021.14.3.2","url":null,"abstract":"","PeriodicalId":348414,"journal":{"name":"International Joural of User-System Interaction","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124662919","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 : 1900-01-01DOI: 10.37789/ijusi.2021.14.2.1
Víctor López-Jaquero
{"title":"A Profile and Design Space for Characterizing User Interface Adaptation","authors":"Víctor López-Jaquero","doi":"10.37789/ijusi.2021.14.2.1","DOIUrl":"https://doi.org/10.37789/ijusi.2021.14.2.1","url":null,"abstract":"","PeriodicalId":348414,"journal":{"name":"International Joural of User-System Interaction","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122805001","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 : 1900-01-01DOI: 10.37789/ijusi.2020.13.1.1
Traian Rebedea, V. Florea
This paper proposes a deep learning solution for optical character recognition, specifically tuned to detect expiration dates that are printed on the packaging of food items. This method can be used to reduce food waste, having a significant impact on the design of smart refrigerators and can prove especially useful for persons with vision difficulties, by combining it with a speech synthesis engine. The main problem in designing an efficient solution for expiry date recognition is the lack of a large enough dataset to train deep neural networks. To tackle this issue, we propose to use an additional dataset composed of synthetically generated images. Both the synthetic and real image datasets are detailed in the paper and we show that the proposed method offers a 9.4% accuracy improvement over using real images alone.
{"title":"Expiry date recognition using deep neural networks","authors":"Traian Rebedea, V. Florea","doi":"10.37789/ijusi.2020.13.1.1","DOIUrl":"https://doi.org/10.37789/ijusi.2020.13.1.1","url":null,"abstract":"This paper proposes a deep learning solution for optical character recognition,\u0000specifically tuned to detect expiration dates that are printed on the packaging of food items. This method can be used to reduce food waste, having a significant impact on the design of smart refrigerators and can prove especially useful for persons with vision difficulties, by combining it with a speech synthesis engine. The main problem in designing an efficient solution for expiry date recognition is the lack of a large enough dataset to train deep neural networks. To tackle this issue, we propose to use an additional dataset composed of synthetically generated images. Both the synthetic and real image datasets are detailed in the paper and we show that the proposed method offers a 9.4% accuracy improvement over using real images alone.","PeriodicalId":348414,"journal":{"name":"International Joural of User-System Interaction","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131481133","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 : 1900-01-01DOI: 10.37789/ijusi.2021.14.4.1
Tudor Macavei, V. Manea, Costin Pribeanu
{"title":"Benefits of online education or shortcomings of the traditional system?","authors":"Tudor Macavei, V. Manea, Costin Pribeanu","doi":"10.37789/ijusi.2021.14.4.1","DOIUrl":"https://doi.org/10.37789/ijusi.2021.14.4.1","url":null,"abstract":"","PeriodicalId":348414,"journal":{"name":"International Joural of User-System Interaction","volume":"274 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115891443","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 : 1900-01-01DOI: 10.37789/ijusi.2020.13.1.4
Razvan Rosu, Alexandru Stefan Stoica, Paul-Stefan Popescu, M. Mihăescu
Plagiarism detection represents an application domain for the NLP research area, which has not been investigated too much by researchers in the context of lately developed attention mechanism and sentence transformers. In this paper, we present a plagiarism detection approach which uses state-of-the-art deep learning techniques in order to provide more accurate results than classical plagiarism detection techniques. This approach goes beyond classical word searching and matching, which is time-consuming and can be easily cheated because it uses attention mechanisms and aims for text encoding and contextualization. In order to get proper insight regarding the system, we investigate three approaches in order to be sure that the results are relevant and well-validated. The experimental results show that the systems that use BERT pre-trained model offers the best results and outperforms GloVe and RoBERTa
{"title":"NLP based Deep Learning Approach for Plagiarism Detection","authors":"Razvan Rosu, Alexandru Stefan Stoica, Paul-Stefan Popescu, M. Mihăescu","doi":"10.37789/ijusi.2020.13.1.4","DOIUrl":"https://doi.org/10.37789/ijusi.2020.13.1.4","url":null,"abstract":"Plagiarism detection represents an application domain for the NLP research area,\u0000which has not been investigated too much by researchers in the context of lately developed attention mechanism and sentence transformers. In this paper, we present a plagiarism detection approach which uses state-of-the-art deep learning techniques in order to provide more accurate results than classical plagiarism detection techniques. This approach goes beyond classical word searching and matching, which is time-consuming and can be easily cheated because it uses attention mechanisms and aims for text encoding and contextualization. In order to get proper insight regarding the system, we investigate three approaches in order to be sure that the results are relevant and well-validated. The experimental results show that the systems that use BERT pre-trained model offers the best results and outperforms GloVe and RoBERTa","PeriodicalId":348414,"journal":{"name":"International Joural of User-System Interaction","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125204356","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 : 1900-01-01DOI: 10.37789/ijusi.2020.13.4.1
Ioan Florin Catalin Nitu, Traian Rebedea
{"title":"Intelligent Linguistic System for the Grammar of the Romanian Language","authors":"Ioan Florin Catalin Nitu, Traian Rebedea","doi":"10.37789/ijusi.2020.13.4.1","DOIUrl":"https://doi.org/10.37789/ijusi.2020.13.4.1","url":null,"abstract":"","PeriodicalId":348414,"journal":{"name":"International Joural of User-System Interaction","volume":"13 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120889162","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 : 1900-01-01DOI: 10.37789/ijusi.2021.14.4.2
Filip Manisor, Mihai Masala, Eduard Cojocea, Traian Rebedea
{"title":"Artificial Intelligence technologies for enhancing real estate apps","authors":"Filip Manisor, Mihai Masala, Eduard Cojocea, Traian Rebedea","doi":"10.37789/ijusi.2021.14.4.2","DOIUrl":"https://doi.org/10.37789/ijusi.2021.14.4.2","url":null,"abstract":"","PeriodicalId":348414,"journal":{"name":"International Joural of User-System Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129558315","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 : 1900-01-01DOI: 10.37789/ijusi.2021.14.3.1
D. Avramescu, Paul-Stefan Popescu, M. Mocanu, M. Mihăescu
{"title":"Automatic Music Transcription by Deep Learning","authors":"D. Avramescu, Paul-Stefan Popescu, M. Mocanu, M. Mihăescu","doi":"10.37789/ijusi.2021.14.3.1","DOIUrl":"https://doi.org/10.37789/ijusi.2021.14.3.1","url":null,"abstract":"","PeriodicalId":348414,"journal":{"name":"International Joural of User-System Interaction","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133214330","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 : 1900-01-01DOI: 10.37789/ijusi.2021.14.2.2
Marian Gabriel Sandu, Stefan Trausan-Matu
{"title":"Explainable Artificial Intelligence in Natural Language Processing","authors":"Marian Gabriel Sandu, Stefan Trausan-Matu","doi":"10.37789/ijusi.2021.14.2.2","DOIUrl":"https://doi.org/10.37789/ijusi.2021.14.2.2","url":null,"abstract":"","PeriodicalId":348414,"journal":{"name":"International Joural of User-System Interaction","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115761500","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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