Romanian Journal of
Human - Computer InteractionVol.6, No.2, 2013
ISSN 1843-4460
Contents
Study on a design methodology for an intelligent interface of a recomender system.
Marian Cristian Mihăescu
111 - 126 Psychopathological symptoms of the cell phone addiction.
Camelia Popa, Adela Ciobanu
127 - 140 The ergonomic quality of an educational application based on augmented reality – a measurement model with causal indicators.
Costin Pribeanu
141 - 154 Automatic Language Recognition with application in Diferentiated Speech Synthesis.
Paul Fogarassy-Neszly, Vasile Gherheş
155 - 168 Recognizing named entities, quotes and events in news and social media items in Romanian.
Adrian-Nicolae Zamfirescu, Traian Eugen Rebedea
169 - 192
Abstracts
Study on a Design Methodology for an Intelligent Interface of a Recomender System
Marian Cristian Mihăescu
Department of Computer Science and Information Technology, University of Craiova
Bvd. Decebal, Nr. 107, 200440, Craiova, Dolj, Romania
E-mail: mihaescu@software.ucv.ro
Abstract. This paper presents a study on a design methodology for the interface of a recommender system. A usability evaluation is designed for an intelligent interface of a recommender system that runs along Tesys e-Learning platform. Building intelligent e-Learning systems enables students to access the educational resources is such a way that the learning effort is optimal when a high degree of knowledge is required. The design of the interface follows an iterative process in which low fidelity prototypes are built and evaluated. The usability evaluation is performed in two ways. A questionnaire is proposed for evaluation of low fidelity models. For high quality results a data analysis procedure of task completion times is used.
Keywords: interface design, usability evaluation, recommender system.
Cite this paper as:
Mihăescu, M.C. Study on a Design Methodology for an Intelligent Interface of a Recomender System. Revista Romana de Interactiune Om-Calculator 6(2), 111-126, 2013.
Psychopathological symptoms of the cell phone addiction
Camelia Popa1, Adela Ciobanu2
1Institute of Philosophy and Psychology “C. Rădulescu Motru” of the Romanian Academy
Calea 13 Septembrie nr. 13, Bucureşti, 050711, România
E-mail: camelia.popa@ipsihologie.ro
2The University of Medicine and Pharmacy “Carol Davila” Bucharest
Strada Dionisie Lupu nr. 37, Bucureşti, 020022, România
E-mail: adela.ciobanu@yahoo.comAbstract. Excessive use of mobile telephony and Internet has become a public health problem in many developed countries. In solving this problem have been strongly involved psychologists and psychiatrists. Worldwide, the research on all new IT&C dependencies are numerous and often have surprising conclusions, highlighting the psychopathological aspects of the so-called "unhealthy consumption" of SMS and Internet (social networks, online games, etc.). In Romania, however, despite the strong intrusion of mobile telephony and the Internet, such issues have been too little reviewed by the researchers. To provide a starting point for future Romanian studies in the field, this article aims to explore meta analytical the recent scientific information dedicated to the consumption problem of mobile communication.
Keywords: mobile phone, addictive behavior, text-messaging dependency, psihopatology.
Cite this paper as:
Popa, C., Ciobanu, A.. Psychopathological symptoms of the cell phone addiction. Revista Romana de Interactiune Om-Calculator 6(2), 127-140, 2013.
The ergonomic quality of an educational application based on augmented reality – a measurement model with causal indicators
Costin Pribeanu
National Institute for Research and Development in Informatics – ICI Bucharest
Bd. Mareşal Averescu, Nr. 8-10, 011455, Bucureşti
E-mail: pribeanu@ici.roAbstract. In recent years the educational applications based on augmented reality (AR) gained interest due to the opportunities provided by the integration of real objects from the traditional didactics on a hardware-software platform. The implementation of the AR concept, which is based on the superposition of computer generated images over the observed image of a real object on the screen, may lead to specific usability problems that are reflected on the ease of learning how to operate, ease of use, and comfort in use. In this paper a model with causal indicators is presented that is influencing the ergonomic quality of an AR-based educational application. The results show that the ease of reading the information on the screen and the ease of selecting a chemical element are the most important causal indicators for the ergonomic quality of the application.
Keywords: usability, ergonomic quality, formative measurement model, causal indicators, augmented reality, e-learning.
Cite this paper as:
Pribeanu, C. The ergonomic quality of an educational application based on augmented reality – a measurement model with causal indicators. Revista Romana de Interactiune Om-Calculator 6(2), 141-154, 2013.
Automatic Language Recognition with application in Diferentiated Speech Synthesis
Paul Fogarassy-Neszly1, Vasile Gherheş2
1BAUM Engineering
2Universitatea „Politehnica” Timişoara
Str. Traian Moşoiu nr. 8, 310175 Arad
E-mail: pf@baum.ro
P-ţa Victoriei nr. 2, 300006 Timişoara,
E-mail: vasile.gherhes@cls.upt.roAbstract. This paper briefly presents several aspects concerning automatic language recognition and continues with particularities for algorithms used in language differentiated speech synthesis. Several algorithm optimization methods are presented, as well as performance criteria in language recognition; particularities concerning screen readers in multicultural context are also discussed.
Keywords: language recognition, speech synthesis, accessibly, assistive technology.
Cite this paper as:
Fogarassy-Neszly, P., Gherhes, V. Automatic Language Recognition with application in Diferentiated Speech Synthes. Revista Romana de Interactiune Om-Calculator 6(2), 155-168, 2013.
Recognizing named entities, quotes and events in news and social media items in Romanian
Adrian-Nicolae Zamfirescu1,2, Traian Eugen Rebedea1,2
1University Politehnica of Bucharest, Faculty of Automatic Control and Computers,
313 Splaiul Independenţei , 060042 Bucharest, Romania
2TeamNet International, 319 Splaiul Independenţei, 060044 Bucharest, Romania
E-mail: zamfirescuan@yahoo.com, traian.rebedea@cs.pub.roAbstract: At the border of natural language processing and information retrieval, named entity recognition has represented one of the most important research problems of the two domains, that has not been solved perfectly yet even for English texts. Furthermore, named entity recognition has opened up the path of solving other problems that use these linguistic contructs, such as the identification of quotes and declarations made by persons, in general, but also by companies or other types of organizations, or the extraction of events from texts. The problem of named entity identification and clasification has appeared from the necessity of being able to report the appearances of names of persons, organizations and other types of named entities relevant for various domains within written documents. In this article we shall present a solution for solving these three aforementioned problems for texts written in Romanian from various sources, like news items, blog articles or comments from social newtorks. The paper starts with a short overview of the theoretical underpinnings used for solving these problems, then we will present the methods actually used for the designed solution for Romanian. It combines machine learning algorithms with heuristics based on text patterns and regular expressions. At the end, we shall highlight the accuracy of the various methods used for solving the tasks, together with a comparison between the results obtained by each method.
Keywords: natural language processing, information extraction, machine classification, named entities, quotes, events.
Cite this paper as:
Zamfirescu, A.N., Rebedea, T.E. Recognizing named entities, quotes and events in news and social media items in Romanian. Revista Romana de Interactiune Om-Calculator 6(2), 169-192, 2013.