1,446 research outputs found
Mapping the Focal Points of WordPress: A Software and Critical Code Analysis
Programming languages or code can be examined through numerous analytical lenses. This project is a critical analysis of WordPress, a prevalent web content management system, applying four modes of inquiry. The project draws on theoretical perspectives and areas of study in media, software, platforms, code, language, and power structures. The applied research is based on Critical Code Studies, an interdisciplinary field of study that holds the potential as a theoretical lens and methodological toolkit to understand computational code beyond its function. The project begins with a critical code analysis of WordPress, examining its origins and source code and mapping selected vulnerabilities. An examination of the influence of digital and computational thinking follows this. The work also explores the intersection of code patching and vulnerability management and how code shapes our sense of control, trust, and empathy, ultimately arguing that a rhetorical-cultural lens can be used to better understand code\u27s controlling influence. Recurring themes throughout these analyses and observations are the connections to power and vulnerability in WordPress\u27 code and how cultural, processual, rhetorical, and ethical implications can be expressed through its code, creating a particular worldview. Code\u27s emergent properties help illustrate how human values and practices (e.g., empathy, aesthetics, language, and trust) become encoded in software design and how people perceive the software through its worldview. These connected analyses reveal cultural, processual, and vulnerability focal points and the influence these entanglements have concerning WordPress as code, software, and platform. WordPress is a complex sociotechnical platform worthy of further study, as is the interdisciplinary merging of theoretical perspectives and disciplines to critically examine code. Ultimately, this project helps further enrich the field by introducing focal points in code, examining sociocultural phenomena within the code, and offering techniques to apply critical code methods
Digital Traces of the Mind::Using Smartphones to Capture Signals of Well-Being in Individuals
General context and questions Adolescents and young adults typically use their smartphone several hours a day. Although there are concerns about how such behaviour might affect their well-being, the popularity of these powerful devices also opens novel opportunities for monitoring well-being in daily life. If successful, monitoring well-being in daily life provides novel opportunities to develop future interventions that provide personalized support to individuals at the moment they require it (just-in-time adaptive interventions). Taking an interdisciplinary approach with insights from communication, computational, and psychological science, this dissertation investigated the relation between smartphone app use and well-being and developed machine learning models to estimate an individual’s well-being based on how they interact with their smartphone. To elucidate the relation between smartphone trace data and well-being and to contribute to the development of technologies for monitoring well-being in future clinical practice, this dissertation addressed two overarching questions:RQ1: Can we find empirical support for theoretically motivated relations between smartphone trace data and well-being in individuals? RQ2: Can we use smartphone trace data to monitor well-being in individuals?Aims The first aim of this dissertation was to quantify the relation between the collected smartphone trace data and momentary well-being at the sample level, but also for each individual, following recent conceptual insights and empirical findings in psychological, communication, and computational science. A strength of this personalized (or idiographic) approach is that it allows us to capture how individuals might differ in how smartphone app use is related to their well-being. Considering such interindividual differences is important to determine if some individuals might potentially benefit from spending more time on their smartphone apps whereas others do not or even experience adverse effects. The second aim of this dissertation was to develop models for monitoring well-being in daily life. The present work pursued this transdisciplinary aim by taking a machine learning approach and evaluating to what extent we might estimate an individual’s well-being based on their smartphone trace data. If such traces can be used for this purpose by helping to pinpoint when individuals are unwell, they might be a useful data source for developing future interventions that provide personalized support to individuals at the moment they require it (just-in-time adaptive interventions). With this aim, the dissertation follows current developments in psychoinformatics and psychiatry, where much research resources are invested in using smartphone traces and similar data (obtained with smartphone sensors and wearables) to develop technologies for detecting whether an individual is currently unwell or will be in the future. Data collection and analysis This work combined novel data collection techniques (digital phenotyping and experience sampling methodology) for measuring smartphone use and well-being in the daily lives of 247 student participants. For a period up to four months, a dedicated application installed on participants’ smartphones collected smartphone trace data. In the same time period, participants completed a brief smartphone-based well-being survey five times a day (for 30 days in the first month and 30 days in the fourth month; up to 300 assessments in total). At each measurement, this survey comprised questions about the participants’ momentary level of procrastination, stress, and fatigue, while sleep duration was measured in the morning. Taking a time-series and machine learning approach to analysing these data, I provide the following contributions: Chapter 2 investigates the person-specific relation between passively logged usage of different application types and momentary subjective procrastination, Chapter 3 develops machine learning methodology to estimate sleep duration using smartphone trace data, Chapter 4 combines machine learning and explainable artificial intelligence to discover smartphone-tracked digital markers of momentary subjective stress, Chapter 5 uses a personalized machine learning approach to evaluate if smartphone trace data contains behavioral signs of fatigue. Collectively, these empirical studies provide preliminary answers to the overarching questions of this dissertation.Summary of results With respect to the theoretically motivated relations between smartphone trace data and wellbeing (RQ1), we found that different patterns in smartphone trace data, from time spent on social network, messenger, video, and game applications to smartphone-tracked sleep proxies, are related to well-being in individuals. The strength and nature of this relation depends on the individual and app usage pattern under consideration. The relation between smartphone app use patterns and well-being is limited in most individuals, but relatively strong in a minority. Whereas some individuals might benefit from using specific app types, others might experience decreases in well-being when spending more time on these apps. With respect to the question whether we might use smartphone trace data to monitor well-being in individuals (RQ2), we found that smartphone trace data might be useful for this purpose in some individuals and to some extent. They appear most relevant in the context of sleep monitoring (Chapter 3) and have the potential to be included as one of several data sources for monitoring momentary procrastination (Chapter 2), stress (Chapter 4), and fatigue (Chapter 5) in daily life. Outlook Future interdisciplinary research is needed to investigate whether the relationship between smartphone use and well-being depends on the nature of the activities performed on these devices, the content they present, and the context in which they are used. Answering these questions is essential to unravel the complex puzzle of developing technologies for monitoring well-being in daily life.<br/
Design of an E-learning system using semantic information and cloud computing technologies
Humanity is currently suffering from many difficult problems that threaten the life and survival of the human race. It is very easy for all mankind to be affected, directly or indirectly, by these problems. Education is a key solution for most of them. In our thesis we tried to make use of current technologies to enhance and ease the learning process.
We have designed an e-learning system based on semantic information and cloud computing, in addition to many other technologies that contribute to improving the educational process and raising the level of students. The design was built after much research on useful technology, its types, and examples of actual systems that were previously discussed by other researchers.
In addition to the proposed design, an algorithm was implemented to identify topics found in large textual educational resources. It was tested and proved to be efficient against other methods. The algorithm has the ability of extracting the main topics from textual learning resources, linking related resources and generating interactive dynamic knowledge graphs. This algorithm accurately and efficiently accomplishes those tasks even for bigger books. We used Wikipedia Miner, TextRank, and Gensim within our algorithm. Our algorithm‘s accuracy was evaluated against Gensim, largely improving its accuracy.
Augmenting the system design with the implemented algorithm will produce many useful services for improving the learning process such as: identifying main topics of big textual learning resources automatically and connecting them to other well defined concepts from Wikipedia, enriching current learning resources with semantic information from external sources, providing student with browsable dynamic interactive knowledge graphs, and making use of learning groups to encourage students to share their learning experiences and feedback with other learners.Programa de Doctorado en Ingeniería Telemática por la Universidad Carlos III de MadridPresidente: Luis Sánchez Fernández.- Secretario: Luis de la Fuente Valentín.- Vocal: Norberto Fernández Garcí
Design Patterns for Situated Visualization in Augmented Reality
Situated visualization has become an increasingly popular research area in
the visualization community, fueled by advancements in augmented reality (AR)
technology and immersive analytics. Visualizing data in spatial proximity to
their physical referents affords new design opportunities and considerations
not present in traditional visualization, which researchers are now beginning
to explore. However, the AR research community has an extensive history of
designing graphics that are displayed in highly physical contexts. In this
work, we leverage the richness of AR research and apply it to situated
visualization. We derive design patterns which summarize common approaches of
visualizing data in situ. The design patterns are based on a survey of 293
papers published in the AR and visualization communities, as well as our own
expertise. We discuss design dimensions that help to describe both our patterns
and previous work in the literature. This discussion is accompanied by several
guidelines which explain how to apply the patterns given the constraints
imposed by the real world. We conclude by discussing future research directions
that will help establish a complete understanding of the design of situated
visualization, including the role of interactivity, tasks, and workflows.Comment: To appear in IEEE VIS 202
Machine Learning Algorithm for the Scansion of Old Saxon Poetry
Several scholars designed tools to perform the automatic scansion of poetry in many languages, but none of these tools
deal with Old Saxon or Old English. This project aims to be a first attempt to create a tool for these languages. We
implemented a Bidirectional Long Short-Term Memory (BiLSTM) model to perform the automatic scansion of Old Saxon
and Old English poems. Since this model uses supervised learning, we manually annotated the Heliand manuscript, and
we used the resulting corpus as labeled dataset to train the model. The evaluation of the performance of the algorithm
reached a 97% for the accuracy and a 99% of weighted average for precision, recall and F1 Score. In addition, we tested
the model with some verses from the Old Saxon Genesis and some from The Battle of Brunanburh, and we observed that
the model predicted almost all Old Saxon metrical patterns correctly misclassified the majority of the Old English input
verses
Creating immersive, play-anywhere handheld augmented reality stories, through remote user testing
This thesis outlines new instances of Extended Reality (XR) stories as well as associated user studies with them, to create more immersive story experiences delivered at a user’s choice of location through a mobile phone. This extends prior work on Location Based Experiences (LBEs), which have typically been designed to offer a game or story at a pre-determined location. A play-anywhere experience offers potential to open up LBEs to a wider audience, as well as to those may prefer to take part individually or closer to home, such attitude shifts becoming increasingly more common. The current research adopted an in the wild approach combining practice, studies and theory, with most user data being collected remotely. Each story application developed is subsequently referred to as an app, with each app offering a bespoke story incorporating Augmented Reality (AR) features, to better bring users’ location inline with the narrative. Testing the apps across various locations matched their intended use, and resulted in new guidelines for both incorporating AR into such LBEs, as well as for conducting remote user studies. A final app offered a site-specific curated story, with all study participants taking part under similar conditions at the same location, the ability to observe them using the app providing additional insights. The story apps used available local map data alongside Handheld Augmented Reality (HAR), to overlay interactable virtual objects on top of the physical environment, and visible on the phone’s display. Guidelines from related methodologies were used to better allow for the variety of factors that might influence different users’ immersion and engagement. These included the implementation of the AR features, the story itself, real world activity, and personal preferences including onboarding requirements. The approach taken contributed a reverse methodology to a lot of related research, that would typically begin with laboratory testing before moving to public spaces. User studies with the five mobile apps contributed guidelines for such experiences, that could benefit both practitioners and researchers in related fields. In the later case, a need was identified to develop new research tools specifically suited to the subtleties of handheld play-anywhere LBEs, such issues explored within the apps tested. The guidelines identified for offering more effective XR LBEs were also implemented in the creation of a new open source Unity project, called Map Story Engine. This offers a tool to test new features, as well as providing a fully customisable template for practitioners to author their own play-anywhere HAR stories and games
International Academic Symposium of Social Science 2022
This conference proceedings gathers work and research presented at the International Academic Symposium of Social Science 2022 (IASSC2022) held on July 3, 2022, in Kota Bharu, Kelantan, Malaysia. The conference was jointly organized by the Faculty of Information Management of Universiti Teknologi MARA Kelantan Branch, Malaysia; University of Malaya, Malaysia; Universitas Pembangunan Nasional Veteran Jakarta, Indonesia; Universitas Ngudi Waluyo, Indonesia; Camarines Sur Polytechnic Colleges, Philippines; and UCSI University, Malaysia. Featuring experienced keynote speakers from Malaysia, Australia, and England, this proceeding provides an opportunity for researchers, postgraduate students, and industry practitioners to gain knowledge and understanding of advanced topics concerning digital transformations in the perspective of the social sciences and information systems, focusing on issues, challenges, impacts, and theoretical foundations. This conference proceedings will assist in shaping the future of the academy and industry by compiling state-of-the-art works and future trends in the digital transformation of the social sciences and the field of information systems. It is also considered an interactive platform that enables academicians, practitioners and students from various institutions and industries to collaborate
Inovação e tecnologia no ensino de línguas: pedagogias, práticas e recursos digitais
O presente volume resulta de uma seleção de artigos do 2.º Congresso Internacional Inovação e Tecnologia no Ensino de Línguas (iTel) realizado na Universidade Aberta. O volume comprova a variedade de recursos tecnológicos, a multiplicidade de abordagens e a inovação de práticas pedagógicas. Encontramos pedagogias inovadoras no ensino de línguas, tais como a realidade aumentada e a gamificação. É aprofundada igualmente a questão da prática docente em sala de aula (virtual/b-learning/presencial) e são explorados vários recursos digitais como aplicações, softwares, plataformas de ensino online ou MOOC.info:eu-repo/semantics/publishedVersio
Transforming the Reading Experience of Scientific Documents with Polymorphism
Despite the opportunities created by digital reading, documents remain mostly static and mimic paper. Any improvement in the shape or form of documents has to come from authors who contend with current digital formats, workflows, and software and who impose a presentation to readers. Instead, I propose the concept of polymorphic documents which are documents that can change in form to offer better representations of the information they contain. I believe that multiple representations of the same information can help readers, and that any document can be made polymorphic, with no intervention from the original author. This thesis presents four projects investigating what information can be obtained from existing documents, how this information can be better represented, and how these representations can be generated using only the source document. To do so, I draw upon theories showing the benefit of presenting information using multiple representations; the design of interactive systems to support morphing representations; and user studies to evaluate system usability and the benefits of the new representations on reader comprehension
Producing Affection : Affect and Mediated Intimacy in Pokémon
Pokémon is a global multimedia franchise formed around a core series of videogames and a variety of characters to collect, learn about, and play with. Throughout its decades of development, Pokémon has grown into a media mix comprising of digital and analog games, animations, comics, toys, and a plethora of branded merchandize, all centering on the Pokémon characters and the audience’s relationship with them.
In this thesis, I explore how affection is formed and distributed in Pokémon. I view the relationship with Pokémon characters as a form of mediated intimacy, theorizing it as feelings of affection and closeness expressed through and aimed at technology. Through this, I discuss how technological and fantastical bodies wield agency and actively participate in the formation of everyday affects. By drawing primarily on game studies and affect studies, I develop an interdisciplinary method for playing and reading media texts for their affects and use it to analyze the media mix of Pokémon and the affective relations therein.
I focus primarily on the Pokémon videogames that serve as the core product of the entire media mix. I examine what it means to construct an entire media mix based on videogames and play and suggest this as a key interpretive arrangement for understanding the mediated intimacy of Pokémon.
This study presents the mediated intimacy of Pokémon as the result of the ludic and technological foundations of the Pokémon media mix, at the heart of which is the role-playing form of the original videogames and the way they have positioned audiences as participants and characters in the world of Pokémon. In this playful environment that overlaps fiction and everyday reality, the media mix guides its players to conduct a form of affective labor to access and traverse the textual whole of Pokémon and furthermore aligns this effort with the diegetic theme of caretaking as captured on the transmedia bodies of Pokémon.
Additionally, this work contributes to the theorization and rethinking of intimacies by exploring affection in human and non-human networks as an entanglement of biological and technological actors.Tuotettua kiintymystä. Pokémonin affekti ja medioitu intiimiys
Pokémon on globaali monimediakokonaisuus. Sen keskiössä on joukko videopelejä sekä niiden hahmoja, joita kerätään, joista opitaan ja joiden kanssa leikitään. Pokémonista on vuosikymmenten mittaan kasvanut mediatuotteiden rypäs, media mix: monista tuote- ja julkaisukanavista koostuva kokonaisuus, joka sisältää digitaalisia ja analogisia pelejä, animaatioita, sarjakuvia, leluja ja brändituotteita, joissa kaikissa korostuvat Pokémon-hahmot sekä yleisön suhde niihin.
Väitöskirjassani tarkastelen, miten kiintymystä rakennetaan ja levitetään Pokémonissa. Tutkin Pokémon-hahmoihin muodostettuja suhteita medioidun intiimiyden käsitteen kautta. Tutkimuksessani suhteet näyttäytyvät kiintymyksellisten tunteiden tiivistyminä sekä läheisyytenä, jota ilmaistaan teknologian avulla ja sitä kohtaan. Näin tarkastelen, miten teknologisten sekä fantastisten kehojen toimijuus näkyy arkipäiväisten affektien muodostumisessa. Ammentamalla pelitutkimuksesta ja affektitutkimuksesta kehitän monitieteisen metodin mediatekstien pelaamiseen ja lukemiseen, ja käytän sitä Pokémonin media mixin, sen affektien ja sen piirissä muodostettujen kiintymyssuhteiden analysointiin.
Keskityn erityisesti Pokémon-videopeleihin, jotka toimivat koko media mixin ydintuotteena. Tutkin, miten Pokémonin media mix on rakennettu ensisijaisesti pelilliselle ja leikilliselle pohjalle, ja ehdotan tätä tulkintamallia keskeiseksi Pokémonin medioidun intiimiyden ymmärtämiselle.
Tutkimuksen tuloksena esitän Pokémonin medioidun intiimiyden muodostuvan Pokémonin media mixin leikillisistä ja teknologisista juurista, joiden perustana on alkuperäisten Pokémon-videopelien roolipelillinen rakenne sekä se, miten sen avulla pelaajat on asemoitu hahmoiksi Pokémonin maailmaan. Fiktiota ja todellisuutta sekoittavassa leikillisessä ympäristössä Pokémonin media mix ohjaa pelaajia hoivan ja huolenpidon teemojen kautta tekemään tunnetyötä tuoteperheen mediatekstien parissa ja piirtää tämän työn tulokset Pokémon-hahmojen monimediakehoille.
Lisäksi väitöstutkimukseni osallistuu intiimiyden laajempaan teoretisointiin ja uudelleenmäärittelyyn tarkastelemalla elollisten ja leikillisesti elävien toimijoiden suhteita biologisena ja teknologisena yhteenliittymän
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