20 research outputs found
Exploring player experience and social networks in MOBA Games: The case of League of Legends
A pesar de la popularidad de los juegos de arena de combate multijugador en línea (MOBA en inglés) como League of Legends (LoL), tanto la experiencia de jugador (PE) que proporciona este género relativamente reciente como las redes sociales que se generan a su alrededor siguen, en gran medida, inexplorados. Con el incremento del tiempo que los jugadores dedican a este tipo de juegos competitivos en línea, los impactos positivos y negativos de hacerlo cobran relevancia; es, por lo tanto, importante entender cómo se estructura dicha experiencia para abordar de forma sistemática los mecanismos que desencadenan respuestas de los jugadores. El presente trabajo empieza obteniendo y caracterizando una muestra de jugadores de League of Legends y sigue con el uso de las variables resultantes y de la estructura de las relaciones sociales como entradas para explorar su relación con la experiencia de los jugadores. Al fin y al cabo, la PE es básica para involucrar al jugador y, por lo tanto, es clave para el éxito de cualquier juego digital. Los resultados muestran, entre otros, cómo los jugadores de League of Legends perciben el juego como “justo” para su nivel de competencia en cualquier rango, mientras que su afinidad respecto a los compañeros se ve afectada por la estructura social. La empatía y los sentimientos negativos, no obstante, no parecen verse afectados por la composición del equipo. Entender la experiencia del jugador en League of Legends puede no tan sólo ser útil para mejorar el propio LoL o los juegos de tipo MOBA, sino también para desarrollar juegos más inmersivos a la vez que se mejora su calidad. A medida que los juegos competitivos online se convierten rápidamente en una de las mayores actividades colectivas humanas a nivel global, la investigación sobre la experiencia del jugador adquiere también una importancia crucial
Aplicació de dispositius de transmissió AC flexibles per al suport a la xarxa elèctrica
Premi al millor Projecte de Fi de Carrera presentat durant el curs 2008-2009 en l'àmbit d'Electricitat-Electrònica-Automàtica que atorga SCHNEIDER ELECTRIC ESPAÑAEl present projecte s'emmarca dins el camp de les energies renovables (particularment
l’eòlica), la tecnologia elèctrica i l’electrònica de potencia. L'elevada penetració de l'energia
eòlica i la proliferació de nous parcs eòlics, constituint una de les poques alternatives viables
actualment a l'ús dels combustibles fòssils, obliga a plantejar noves mesures per al correcte
funcionament i l'estabilitat de la xarxa elèctrica. Específicament, el projecte Aplicació de
dispositius de transmissió AC flexibles per al suport a la xarxa elèctrica es centra en l’aplicació d'aquests dispositius de nova tecnologia a la xarxa i l’anàlisi de la seva capacitat de
suport, tant en règims nominals com en casos de contingència, en una xarxa amb un gran
percentatge de generació eòlica amb generadors d’inducció de gàbia d'esquirol.
Per a l’elaboració del present projecte s'ha realitzat primer un estudi de les tecnologies d'aerogenerador i un anàlisi de les problemàtiques que provoquen les pertorbacions elèctriques.
A continuació, al tractar-se de tecnologies recents, s'ha generat un estudi dels dispositius
de transmissió AC flexibles (FACTS). S'han analitzat les seves característiques i com es
poden aplicar a una xarxa per tal de donar-li suport. Per tal de poder comprovar aquesta
capacitat, s'ha dissenyat una xarxa de prova pròpia en la qual es pogués observar clarament
quins en són els efectes. S'ha simulat una sèrie de casos que podrien donar-se a la realitat i
s'ha analitzat els resultats obtinguts i els problemes apareguts en cada cas. El següent pas
ha estat donar el suport necessari per tal d'evitar-los. Primer, amb l’aplicació d'un STATCOM,
un dispositiu FACTS paral•lel que, connectat a la sortida del parc, permet evitar
que es desconnecti. S'ha tornat a analitzar els casos i s'ha pogut comprovar com aquest
dispositiu, degudament configurat, és capaç de donar suport a la xarxa i al parc, evitant-ne
la desconnexió. No obstant, han aparegut nous problemes, derivats de la pèrdua de línies
en casos de contingència, que involucren sobrecarregues en altres línies. Per a solucionar-ho
s'ha aplicat un SSSC, que és capaç de variar el flux de potencia a la branca on s'ha instal•lat
i que, amb els valors adequats, pot proporcionar el suport necessari per tal de mitigar els
problemes de sobrecarrega, sempre que caiguin dins el seu rang de funcionament.
S'han obtingut els resultats esperats sobre el suport que aquests dispositius poden donar a
la xarxa. Per una banda, l'STATCOM és capaç d'actuar de forma rapida i efectiva sobre la
sortida del parc eòlic, proporcionant un suport a la tensió i al consum de potencia reactiva
que evita que el parc es desconnecti davant les contingències tractades. Per altra banda,
l’aplicació de l'SSSC permet aconseguir un control addicional sobre la xarxa, variant el flux
de potencia per tal d'evitar sobrecarregues en algunes línies que podrien ser tant o més
perilloses que la pròpia contingència que les provoca.
Finalment, els resultats posen de manifest que l’aplicació de dispositius de transmissió AC
flexibles permeten donar el suport necessari a la xarxa elèctrica i que, a més a més, són
una interessant possibilitat a l'hora de donar major fiabilitat als parcs amb generadors
d’inducció de gàbia d'esquirol ja existents. Davant d'una encara major penetració eòlica
podrien convertir-se en elements absolutament indispensables.Award-winnin
A complex network analysis of the Comprehensive R Archive Network (CRAN) package ecosystem
Free and open source software package ecosystems have existed for a long time and are among
the most sophisticated human-made systems. One of the oldest and most popular software package
ecosystems is CRAN, the repository of packages of the statistical language R, which is also one of
the most popular environments for statistical computing nowadays. CRAN stores a large number
of packages that are updated regularly and depend on a number of other packages in a complex
graph of relations; such graph is empirically studied from the perspective of complex network
analysis (CNA) in the current article, showing how network theory and measures proposed by
previous work can help profiling the ecosystem and detecting strengths, good practices and potential
risks in three perspectives: macroscopic properties of the ecosystem (structure and complexity of
the network), microscopic properties of individual packages (represented as nodes), and modular
properties (community detection). Results show how complex network analysis tools can be used
to assess a package ecosystem and, in particular, that of CRAN
A systematic literature review on Wikidata
To review the current status of research on Wikidata and, in particular, of articles that either describe applications of Wikidata or provide empirical evidence, in order to uncover the topics of interest, the fields that are benefiting from its applications and which researchers and institutions are leading the work
Alternative Computer Assisted Communicative Task-based Language Testing: New Communicational and Interactive Online Skills
[EN] Computer-assisted language learning knowledge tests should no longer be designed on traditional skills to measure individual competence through traditional skills such as reading, comprehension and writing, but instead, it should diagnose interactive and communication skills in foreign languages. In recent years in online education, it has been necessary to review the concept of interactive competence in digital environments in a complementary way to its traditional use. It is important to promote a new typology of alternative tasks and items in tests where examinees can prove a real interactive performance in communication and interaction through the digital scenario. This should be done through tools that facilitate oral negotiation, the management and understanding of the information extracted from online repositories, the search for suitable online digital material, and the use of new modes of audio-visual communication. Although some of these tasks have been used in a complementary way in the design of language tests previously: it is true that they have not been applied in a coherent way to be used as an assessment tool. A first approach was made by Miguel Alvarez, Garcia Laborda & Magal-Royo (2021) in the development of oral negotiation skills through the use of interactive tools. The current online assessment models analyzed by Garcia Laborda & Alvarez Fernandez (2021) indicate the need to seek new ways of assessing foreign languages through the design of tests that fit in the current digital and interactive world.Magal-Royo, T.; García Laborda, J.; Mora Cantallops, M.; Sánchez Alonso, S. (2021). Alternative Computer Assisted Communicative
Task-based Language Testing: New Communicational
and Interactive Online Skills. International Journal of Emerging Technologies in Learning (Online). 16(19):251-259. https://doi.org/10.3991/ijet.v16i19.26035S251259161
Network analysis for food safety: Quantitative and structural study of data gathered through the RASFF system in the European Union.
This paper reports a quantitative and structural analysis of data gathered on the food issues reported by the European Union members over the last forty years. The study applies statistical measures and network analysis techniques. For this purpose, a graph was constructed of how different contaminated products have been distributed through countries. The work aims to leverage insights into the structure formed by the involvement of European countries in the exchange of goods that can cause problems for populations. The results obtained show the roles of different countries in the detection of sensitive routes. In particular, the analysis identifies problematic origin countries, such as China or Turkey, whereas European countries, in general, do have good border control policies for the import/export of food.pre-print1210 K
Traceability for trustworthy AI: a review of models and tools
Traceability is considered a key requirement for trustworthy artificial intelligence (AI), related to the need to maintain a complete account of the provenance of data, processes, and artifacts involved in the production of an AI model. Traceability in AI shares part of its scope with general purpose recommendations for provenance as W3C PROV, and it is also supported to different extents by specific tools used by practitioners as part of their efforts in making data analytic processes reproducible or repeatable. Here, we review relevant tools, practices, and data models for traceability in their connection to building AI models and systems. We also propose some minimal requirements to consider a model traceable according to the assessment list of the High-Level Expert Group on AI. Our review shows how, although a good number of reproducibility tools are available, a common approach is currently lacking, together with the need for shared semantics. Besides, we have detected that some tools have either not achieved full maturity, or are already falling into obsolescence or in a state of near abandonment by its developers, which might compromise the reproducibility of the research trusted to them
Evolution and prospects of the Comprehensive R Archive Network (CRAN) package ecosystem
Free and open source software package ecosystems have existed for a long time, but such collaborative development practice has surged in recent years. One of the oldest and most popular package ecosystems is Comprehensive R Archive Network (CRAN), the repository of packages of the statistical language R, a popular statistical computing environment. CRAN stores a large number of packages that are updated regularly and depend on many other packages in a complex graph of relations. As the repository grows, its sustainability could be threatened by that complexity or nonuniform evolution of some packages. This paper provides an empirical analysis of the evolution of the CRAN repository in the last 20 years, considering the laws of software evolution and the effect of CRAN's policies on such development. Results show how the progress of CRAN is consistent with the laws of continuous growth and change and how there seems to be a relevant increase in complexity in recent years. Significant challenges are raising related to the scale and scope of software package managers and the services they provide; understanding how they change over time and what might endanger their sustainability are key factors for their future improvement, maintenance, policies, and, eventually, sustainability of the ecosystem
Authority-based conversation tracking in Twitter: an unattended methodological approach
Twitter is undoubtedly one of the most widely used data sources to analyze human communication. The literature is full of examples where Twitter is accessed, and data are downloaded as the previous step to a more in-depth analysis in a wide variety of knowledge areas. Unfortunately, the extraction of relevant information from the opinions that users freely express in Twitter is complicated, both because of the volume generated—more than 6000 tweets per second—and the difficulties related to filtering out only what is pertinent to our research. Inspired by the fact that a large part of users use Twitter to communicate or receive political information, we created a method that allows for the monitoring of a set of users (which we will call authorities) and the tracking of the information published by them about an event. Our approach consists of dynamically and automatically monitoring the hottest topics among all the conversations where the authorities are involved, and retrieving the tweets in connection with those topics, filtering other conversations out. Although our case study involves the method being applied to the political discussions held during the Spanish general, local, and European elections of April/May 2019, the method is equally applicable to many other contexts, such as sporting events, marketing campaigns, or health crises