Videos

In marketing and advertising research, "zapping" is defined as the action when a viewer stops watching a commercial. Researchers analyze users' behavior in order to prevent zapping which helps advertisers to design effective commercials. Since emotions can be used to engage consumers, in this paper, we leverage automated facial expression analysis to understand consumers' zapping behavior. Firstly, we provide an accurate moment-to-moment smile detection algorithm. Secondly, we formulate a binary classification problem (zapping/non-zapping) based on real-world scenarios, and adopt smile response as the feature to predict zapping. Thirdly, to cope with the lack of a metric in advertising evaluation, we propose a new metric called Zapping Index (ZI). ZI is a moment-to-moment measurement of a user's zapping probability. It gauges not only the reaction of a user, but also the preference of a user to commercials. Finally, extensive experiments are performed to provide insights and we make recommendations that will be useful to both advertisers and advertisement publishers.

O sistema educacional brasileiro está vivendo um iminente colapso, no qual os jovens não
querem seguir carreira no magistério; muitos sequer pensam em ingressar em uma instituição
de ensino superior; a desvalorização do professor é cada vez maior, não apenas de salário, mas
também de respeito e reconhecimento; a estrutura física da escola é insuficiente; a formação
inicial e continuada dos professores precisa ser repensada; e vários outros incontáveis aspectos.
Outras problematizações surgem quando nos restringimos à educação básica, e mais ainda se
tratarmos somente sobre o ensino de Ciências e/ou o ensino de Física. Uma formação científica
deficiente resulta em uma população não alfabetizada científica e tecnologicamente, no qual
não terá desenvolvido competências e habilidades para atuar ativamente na sociedade, como o
senso crítico e o espírito investigativo, levando a acreditarem em quaisquer palavras proferidas
por pessoas que querem somente manipular e controlar as massas sociais menos favorecidas. A
Educação STEM (Ciência, Tecnologia, Engenharia e Matemática) surge como opção para uma
reforma educacional, política, econômica, social e cultural em toda a sociedade, que visa formar
estudantes para a atualidade e também para o futuro, não se esquecendo dos aspectos do
passado, tanto em uma formação no sentido de conceitos, quanto uma formação crítica para os
estudantes observarem e agirem no mundo em que vivem, e assim formar competências e
habilidades para a contemporaneidade. A Educação STEM busca combater a crise no ensino de
Ciências, rompendo com o ensino tradicional e aumentando o interesse dos jovens em seguir
carreiras STEM, por meio da integração dessas quatro grandes áreas, que são consideradas
cruciais para as profissões do futuro e a formação integral do ser humano. Em sala de aula, a
Educação STEM busca fazer com que o estudante construa o seu aprendizado, no qual as
estratégias ativas de ensino são uma grande aliada, bem como a prática da experimentação
científica, a abordagem da História, Filosofia, Sociologia e Epistemologia da Ciência, e a
utilização de Tecnologias Digitais de Informação e Comunicação. Para tanto, o objetivo geral
de nossa pesquisa visa apresentar contribuições, amparadas na Educação STEM, no ensino de
Física para estudantes do ensino médio por meio do Produto Educacional: Experimento Virtual
Interativo (EVI). Para alcançar esse objetivo, pretendemos i. Elaborar o EVI do experimento
histórico do Interferômetro de Michelson e Morley; ii. Aplicar o EVI dentro de uma Sequência
de Atividades no ensino da Teoria da Relatividade, com estratégias ativas de ensino, na
disciplina de Física em uma turma de 3º ano do ensino médio do Colégio Marista Santo
Antônio; iii. Avaliar a eficiência do EVI quanto um potente material a ser utilizado no ensino;
iv. Apresentar as contribuições do EVI no ensino de Física no ensino médio. Assim, foi
elaborado um produto educacional com base nos vídeos e filmes interativos, que cada vez mais
vem ganhando cenário em serviços de streaming. O EVI não é um vídeo de experimento no
qual o telespectador assiste passivamente; mas sim, possibilita que o interator tome decisões
que afetarão diretamente no experimento construído, permitindo escolhas de determinados
materiais e a constatação de resultados diferenciados. Assim, o produto educacional se constitui
em um material que explica detalhadamente o desenvolvimento do EVI, bem como apresenta
um passo a passo de como elaborar vídeos interativos a serem disponibilizados no YouTube. O
experimento do EVI é o Interferômetro de Michelson e Morley, se constituindo em um aparato
experimental de importância ímpar para a Física, que possibilita a discussão da Física de
Aristóteles, da Física Clássica e da Física Moderna e Contemporânea com a Teoria da
Relatividade, que faz com que seja possível mostrar aos estudantes como o conhecimento
científico vai sendo elaborado ao longo dos anos por inúmeros cientistas e pesquisadores. Desse
modo, foi aplicado uma sequência de atividades com dez encontros a estudantes de uma turma
de terceiro ano de ensino médio da educação básica, de um colégio particular do município de
Sinop (Mato Grosso). Nossa investigação se coloca como uma pesquisa de abordagem
qualitativa, de natureza aplicada, com objetivos de pesquisa descritiva, e se constituindo em um
estudo de caso, no qual analisou-se os dados por meio da análise de discurso. Os resultados
indicam que o EVI é um material potente a ser utilizado por professores em sala de aula; bem
como, a sequência de atividades conseguiu proporcionar o desenvolvimento de diversas
competências e habilidades além do conteúdo curricular, de modo que os estudantes ficassem
motivados em estudar Física e recebessem uma formação humana integral para tomar decisões
importantes na sociedade. Portanto, essa pesquisa de mestrado consegue reunir diversas
temáticas que convergem em uma sequência de atividades no qual se aplica o nosso produto
educacional, permitindo com que professores e pesquisadores possam replicar as atividades
desenvolvidas, e também colaborar com a disseminação de vídeos interativos para o ensino de
Ciências, possibilitando em mais uma ferramenta a disposição do professor.

Educational technology needs a model of learning goals to support motivation, learning gain, tailoring of the learning process, and sharing of the personal goals between different types of users (i.e., learner and educator) and the system. This paper proposes a tree-based learning goal structuring to facilitate personal goal setting to shape and monitor the learning process. We developed a goal ontology and created a user interface representing this knowledge-base for the self-management education for children with Type 1 Diabetes Mellitus. Subsequently, a cooperative evaluation was conducted with healthcare professionals to refine and validate the ontology and its representation. Presentation of a concrete prototype proved to support professionals' contribution to the design process. The resulting tree-based goal structure enables three important tasks: ability assessment, goal setting and progress monitoring. Visualization should be clarified by icon placement and clustering of goals with the same difficulty and topic. Bloom's taxonomy for learning objectives should be applied to improve completeness and clarity of goal content.

Los antropólogos de la Universidad de Estudios y de la Universidad para Extranjeros de Siena convocan a un encuentro "educativo" y "celebratorio" sobre la cultura Guna de Panamá con motivo del Centenario de la Revolución y Declaración de Independencia del Pueblo Guna de Panamá.
12 marzo 2025 – ore 12-14 – Cappella del Complesso Universitario San Niccolò
Siena, via Roma, 56.

This research examined the socio-cultural and semiotic dynamics of the representation of the girl
child in Nollywood films. The study adopted an eclectic approach by combining the Digital
Generative Multimedia Tool Theory (DGMTT) as postulated by Onyejelem and Aondover (2024),
and Semiotics Theory by Saussure (1983) and Peirce (1958) in analyzing the ideologies
surrounding the portrayal of the girl child in Nollywood films. The thematic objective is to identify
the shifts in representation that correspond with changes in cultural, political, and social landscapes
of the typical African girl child in the past era and compare same with the contemporary portrayal
pattern of the girl child in Nollywood films in today’s world. Through the lens of semiology, the
paper interrogates how these portrayals reflect and shape societal perceptions across different
temporal contexts. By employing a semiotic framework, the study deconstructs visual and
narrative symbols within selected Nollywood films – Living in Bondage (1992), Ijé – The Journey
(2010), Wedding Party (2016), and Lionheart (2018). The films selected cover a period of two
decades and more, but were chosen to uncover the underlying ideologies, cultural narratives, and
power structures that influence the representation of young girls in those periods of years. Findings
from the study revealed that while historical portrayals often reinforced traditional gender roles,
contemporary films exhibit a shift towards more empowered and multifaceted representations as
shown in Lionheart, The Wedding Party and Ijé – The Journey, reflecting broader societal changes
and aspirations for gender equality. In addition, inconsistencies persist, highlighting the ongoing
challenges faced by the girl child in both media and society. The implications of these findings
extend to the development of future leaders, suggesting that the media's portrayal of girls in
contemporary society significantly impacts their self-perception and societal roles in modern
world. This research ultimately calls for a critical re-evaluation of film narratives and their
potential to inspire transformative leadership among the next generation.

This research examined the socio-cultural and semiotic dynamics of the representation of the girl child in Nollywood films. The study adopted an eclectic approach by combining the Digital Generative Multimedia Tool Theory (DGMTT) as postulated by Onyejelem and Aondover (2024), and Semiotics Theory by and in analyzing the ideologies surrounding the portrayal of the girl child in Nollywood films. The thematic objective is to identify the shifts in representation that correspond with changes in cultural, political, and social landscapes of the typical African girl child in the past era and compare same with the contemporary portrayal pattern of the girl child in Nollywood films in today's world. Through the lens of semiology, the paper interrogates how these portrayals reflect and shape societal perceptions across different temporal contexts. By employing a semiotic framework, the study deconstructs visual and narrative symbols within selected Nollywood films -Living in Bondage (1992), Ijé -The Journey (2010), Wedding Party (2016), and Lionheart (2018). The films selected cover a period of two decades and more, but were chosen to uncover the underlying ideologies, cultural narratives, and power structures that influence the representation of young girls in those periods of years. Findings from the study revealed that while historical portrayals often reinforced traditional gender roles, contemporary films exhibit a shift towards more empowered and multifaceted representations as shown in Lionheart, The Wedding Party and Ijé -The Journey, reflecting broader societal changes and aspirations for gender equality. In addition, inconsistencies persist, highlighting the ongoing challenges faced by the girl child in both media and society. The implications of these findings extend to the development of future leaders, suggesting that the media's portrayal of girls in contemporary society significantly impacts their self-perception and societal roles in modern world. This research ultimately calls for a critical re-evaluation of film narratives and their potential to inspire transformative leadership among the next generation.

This study investigated the effect of captioned news on vocabulary learning. Forty five secondary Iranian male students aged between 12 and 14 participated in this study. Students were exposed to eighteen captioned brief news during the course. Through a pretest-posttest design, it was investigated whether bimodal presentation of English vocabulary results in better learning. Furthermore, the differences between learning vocabulary through captioned news with that of non-captioned was investigated through hypothesis testing. The participants were divided into three groups; Group A was designed as a control group; group B were exposed to non-captioned news and group C to captioned-ones. All the participants completed two vocabulary tests before and after the treatment. One Way of Analysis of Variances suggested that bimodal presentation of vocabularies resulted in better vocabulary learning. Moreover, it showed that learning vocabulary through captioned news was more effective than with that of non-captioned ones. The result of the study shows that teachers and research can consider captioned brief news as an important material for vocabulary learning.

Abstract—This study investigated the effect of captioned news on vocabulary learning. Forty five secondary Iranian male students aged between 12 and 14 participated in this study. Students were exposed to eighteen captioned brief news during the course. Through a pretest-posttest design, it was investigated whether bimodal presentation of English vocabulary results in better learning. Furthermore, the differences between learning vocabulary through captioned news with that of non-captioned was investigated through hypothesis testing. The participants were divided into three groups; Group A was designed as a control group; group B were exposed to non-captioned news and group C to captioned-ones. All the participants completed two vocabulary tests before and after the treatment. One Way of Analysis of Variances suggested that bimodal presentation of vocabularies resulted in better vocabulary learning. Moreover, it showed that learning vocabulary through captioned news was more effecti...

This paper contributes to the understanding of how digital public displays can be utilized in schools taking into consideration educational goals. This work is part of a currently ongoing research project that aims to promote students' curiosity in science and technology through creative film-making, collaborative editing activities, and content sharing. In order to explore the design space concerning digital public displays for schools' contexts, six workshops with secondary school teachers in two different countries were conducted to elicit sensitivities towards possible features and interaction techniques as well as inquire about expectations and technology adoption. Our findings suggest that teachers are receptive to the technology and were able to generate scenarios that take advantage of the possibilities offered by digital public displays to stimulate learning processes. However, there are several crucial elements regarding management and control of content that need to be carefully crafted/designed in order to accommodate each schools' organizational issues.

The integration of digital technology into schools is facing substantial challenges. In this study, we address the roles that public displays in communal spaces at the school can play as an additional vehicle for learning practices and, particularly, as a medium for sharing educational videos created by students themselves. Using a participatory design methodology, three handson workshops were conducted with teachers of a secondary school from the north of Portugal in order to elicit expectations towards the system design and its integration into school practices. Based on recorded video, direct observations, paper prototypes and open ended questionnaires created during the workshops, we conducted a systematic content analysis of teachers' concerns associated with the deployment of public displays at schools. Findings suggest that teachers are receptive to the technology and were able to generate scenarios that take advantage of the possibilities offered by digital public displays to stimulate learning processes. However, to accommodate the constraints of learning practices and organizational realities, the design of the system needs to take into account a broad range of sensitivities.

Engineering education is facing many challenges: a decline in core mathematical skills; lowering entry requirements; and the diversity of the student cohort. One approach to confronting these challenges is to make subject content appropriate to the communication styles of today's student. To achieve this, a pedagogical shift from the traditional hierarchical approach to learning to one that embraces the use of technology as a tool to enhance the student learning experience is required. By including the student as co-creator of course content, a greater sense of engagement is achieved and a change to one where students become agents of their own learning is realized. This active learning constructivist approach shifts the focus from content delivery by the lecturer to active engagement with content by the student and in doing so provides an environment of achievement and ownership which empowers the student and increases self-efficacy. The online platform comprises a set of multiple choice questions focused on core mathematical concepts. The quizzes are constructed to adapt to student responses with custom video feedback created by their peers. This paper outlines the methodology followed and provides results of its evaluation in terms of student's perceptions.

Central Government and local education authorities are placing increasing emphasis on the use of screen technology (e.g. computers, ‘educational ’ DVDs) in the classroom, and promoting ‘visual literacy ’ and ‘media literacy ’ as part of the educational curriculum. This trend has been accompanied by assertions that information presented by computers and DVDs- especially moving images- is more engaging and thereby engenders greater learning in children (Marsh et al., 2005). When referring to these new screen technologies in education, there has been an increasing use of the term ‘interactive’, which by default gives the impression that existing methods of teaching and learning are not, or are less so.

Considered an important art form, a source of entertainment and a powerful method for educating, movies have great power to affect us, perceptually, cognitively and emotionally. Technological advances are making a huge amount of movies and related information available. Visualization has the potential to help handling this very interesting but complex richness. In particular, time-oriented visualization could help to capture, express, understand and effectively navigate movies along time: both the time when they were released, or viewed, and the time along which their contents are weaved, in each movie. In this paper, we present our recent work towards the inclusion of the time dimension in 2D and 3D visualizations, based on colors and tag clouds, at the movies space level, and down to the movies in an interactive web application to access, explore and visualize movies based on the information conveyed in the different tracks or perspectives of its content, especially audio and subtitles where most of the semantics is expressed. Our approach has the ultimate goal of helping finding and navigating information through interactive visualizations, and providing insights through analytical tasks or more ludic and artistic uses.

Hierarchies are the most common way to help users organize their personal information. However, their use is fraught with problems. In particular, the users' documents, stored in the filesystem, are notoriously difficult to manage and retrieve. A way to alleviate those problems is to resort to a wide range of knowledge about the users, their actions and the world that surrounds them. Systems that have done so lack an organizing principle that helps users refer to all the information that might be relevant. We propose a novel user interface paradigm, narrative-based interfaces, that provides such an organizing principle, showing how knowledge plays a central role in understanding the users' stories. An analysis of Quill, a prototype narrative-based interface for personal document retrieval, will show how narratives can successfully be used to help users retrieve their documents.

While instructors and students generally value the integration of videos in the online classroom, there are a number of practical considerations that may mediate the utility of videos as a teaching and learning tool. The current survey examines faculty and student perceptions of videos in the online classroom with an emphasis on the practical factors that influence video integration. Results indicate differences in faculty and student acceptance and endorsements of videos for content presentation compared to assignment feedback. Faculty desire more opportunities to interact with their students (i.e., video-based discussions, video-conferencing, and student-generated videos) and highlighted efficiency as a key consideration. Students emphasized a desire for multiple opportunities to engage with course material; while students value text-based resources, they also want to have options to learn and interact via video and audio. Key to student recommendations is an awareness of the time...

NETWOrKEd iNquiry lEarNiNg iN SECONdary SCiENCE ClaSSrOOMS introduction This research project aimed to understand and explore the ways electronically networked (e-networked) tools can support authentic science inquiry in junior secondary classrooms in order to address concerns about student engagement in science. internationally claims are made about the potential for inquiry-based learning to address the challenges of relevance for the 21st century school science learner (aikenhead, 2005; Bolstad & Hipkins, 2008). deliberate inclusion of activities such as collaboration, co-construction and confirmation of ideas is appropriate and valued in science inquiry but they tend to contrast with many of the practices found in conventional classrooms. These activities require more student freedom and the capacity to pose and meaningfully pursue questions of their own design. They may also require students to go beyond the confines of the physical classroom, and venture into virtual communication environments. Our findings highlight that e-networked tools can support collaboration and the co-construction of knowledge within and across an inquiry cycle. Tools such as online platforms, Skype, and mobile technology afford new and different ways of communication and the sharing of information and ideas through synchronous and asynchronous, direct and indirect means. The findings also point to the conditions that are needed to leverage the potential of these e-networked tools in junior secondary science classrooms. Key findings E-networked tools are valuable in supporting an inquiry approach to teaching and learning science. • E-networked tool use enables greater student control, ownership and responsibility for their learning, • by affording them access to a wider range of sources of knowledge and resources and media for communicating what they know and can do.

This article carries out a systematic review of the literature analysing the following new journalistic formats: structured journalism, immersive journalism, 360° video reports, virtual reality and augmented reality applied to journalism, newsgames and docugames. To do so, the scientific production examining these formats is first analysed to determine the academic impact of these studies, while identifying their characteristics and tracking their evolution over time. Second, the leading researchers in this field are identified and interviewed to ascertain their opinion about the future of journalism and changing trends in journalistic formats. The results show that the number of academic publications about journalistic innovation peaked in 2019, above all in the three journals – Digital Journalism, Journalism Practice and Profesional de la Información – that lead the way in this discipline. The 23 academics interviewed reported that innovation impacts primarily on four aspects of j...

The last ten years have been the witnesses of the emergence of any kind of video content. In the same time, certain individuals are deaf and occasionally cannot understand the meanings of such videos because there is not any text transcription available. Hence, it becomes important to make videos available to people who have these problems and even more to remove the gaps of native languages among them. This can be best done by providing subtitles of a video. However, downloading subtitles of any video from the internet is a tedious process. So, to generate subtitles automatically through the software itself and without the use of internet is the main concept of this paper. The objective of this paper is to provide an overview of generating subtitle on offline basis using CMUSPHINX4 java API. This system will first extract the audio, then recognize the extracted audio with CMUSPHINX4 java API. Later this system writes the recognized text to the text file with timestamp and saves it with .srt extension. Then, this .srt file can be opened in a media player to view the subtitles along with video.

Abstract. The growth of online/offline electronic materials obtained freely from the Internet may add a huge burden on learners. Users however need to understand the relationships among documents, for example how one document is related to others at a high level. ...

We propose a minimum overlap based hyperspherical region graph indexing structure to achieve fast similaritybased queries for both low and high dimensional datasets. Specifically, we reduce the region overlaps in the graph construction phase by incrementally dividing each saturated hyperspherical region and removing the longest edge of a minimum spanning tree representation of the internal objects. This overlap reduction scheme creates more separated regions, so fewer regions as potential paths are traversed when a query is issued. We also introduce a knearest-neighbor search scheme by automatically deciding the search radius to return the required number of nearest neighbors. Our extensive experimental results show the effectiveness of the proposed indexing structure compared with other tree and graph based indexing structures.

Las producciones de tango electrónico se apoyan fuertemente en lo visual. Esto puede observarse en la participación de VJs en las presentaciones en vivo, en los DVD que las recrean y en los videoclips de sus canciones. A la vez, el tango electrónico acompaña una cantidad importante de videos realizados por oyentes y aficionados compartidos en plataformas como YouTube. ¿Cómo incide la interacción entre música e imagen en la construcción o actualización de determinados significados?, ¿qué imaginarios se refuerzan y cuáles se eluden en la producciones audiovisuales del tango electrónico y en aquellas musicalizadas con esta música?, ¿qué coincidencias y disidencias pueden encontrarse entre los relatos visuales de las producciones musicales de las agrupaciones y las de los oyentes?, ¿desde dónde indagar las producciones audiovisuales? Estas son algunas de las preguntas que orientan el siguiente artículo, donde se indaga la interacción entre música e imagen a partir de una selección de vi...

This study presents a robust hybrid model for face recognition, which synergistically integrates the VGG16 convolutional neural network (CNN) for feature extraction with an autoencoder for dimensionality reduction and representation learning. This paper proposed VGG16 and Autoencoder architecture efficiently extracts high-level features from images, much reducing computational complexity while the classify of the extracted features used Support Vector Machine (SVM). The proposed hybrid model has achieved a high accuracy of 98% in face recognition tasks on benchmark datasets. This high accuracy highlights efficiency of combination VGG16-based feature extraction with autoencoder of a dimensionality reduction technique and SVM classification in advancing the state-of-the-art in face recognition approaches .

This paper discusses the use of Computer Supported Cooperative Work (CSCW) techniques for computer-aided learning (CAL); the work was started in the context of project Nestor, a joint effort of German universities about cooperative multimedia authoring/learning environments. There are four major categories of

This study aimed to measure conceptual change on stoichiometry using mental models and ill-structured problems in flipped classroom environment. This study examined the level of conceptual understanding of students on stoichiometry before and after exposure to flipped and traditional lecture method. It also covered the type of conceptual change, and students' description in flipped classroom environment. Qualitative and quantitative research methods were used in the study. Respondents were two sections of third year Bachelor of Secondary Education, Biological Science. Frequency, percentage, ranking, mean, standard deviation, Hake factor test, and t-test were the statistical tools applied to answer specific questions. Results showed profound increase towards conceptual change representing a shift from intuitive understanding to correct incomplete understanding level. Thus, change for the better, in theoretical type was determined from pretest to posttest of students exposed to flipped and traditional instruction. Results also indicated that there is no significant difference on students' conceptual change on stoichiometry exposed to flipped and traditional lecture method. Furthermore, students strongly agreed that flipped classroom instruction helped them develop positive attitude towards chemistry and appropriate for learning college chemistry.

In Multimedia Event Detection 2014 evaluation [20], SRI Aurora team participated in task 000Ex, 010Ex and 100Ex with full system evaluation. Aurora system extracts multi-modality features including motion features, static image feature, and audio features from videos, and represents a video with Bag-of-Word (BOW) and Fisher Vector model. In addition, various high-level concept features have been explored. Other than the action concept features and SIN features, deep learning based semantic features including both DeCaf and Overfeat implementation have been explored. The deep-learning features achieve good performance for MED, but they are not the right features for MER. In particular, we performed further study on semi-supervised Automatic Annotation to expand our action concepts. To distinguish event categories efficiently and effectively, we introduce Linear SVM into our system, as well as the feature-mapping technique to approximate the Histogram Intersection Kernel for BOW video model. All the modalities are fused by an ensemble of classifiers including techniques such as Logistic Regression, SVR, Boosting, and so on. Eventually, we achieve satisfied achieved satisfactory results. In MER task, we developed an approach to provide a breakdown of the evidences of why the MED decision has been made by exploring the SVM-based event detector.

Learning Objects facilitate reuse leading to cost and time savings as well as to the enhancement of the quality of educational resources. However, teachers find it difficult to create or to find high quality Learning Objects, and the ones they find need to be customized. Teachers can overcome this problem using suitable authoring systems that enable them to create high quality Learning Objects with little effort. This paper presents an open source online e-Learning authoring tool called ViSH Editor together with four novel interactive Learning Objects that can be created with it: Flashcards, Virtual Tours, Enriched Videos and Interactive Presentations. All these Learning Objects are created as web applications, which can be accessed via mobile devices. Besides, they can be exported to SCORM including their metadata in IEEE LOM format. All of them are described in the paper including an example of each. This approach for creating Learning Objects was validated through two evaluations: a survey among authors and a formal quality evaluation of 209 Learning Objects created with the tool. The results show that ViSH Editor facilitates educators the creation of high quality Learning Objects.

The intent of this dissertation was to move toward a constructive grounded theory that portrayed the ways in which parents of preschool children with disabilities make meaning of their children"s social relationships. The rationale for this inquiry emerged from the confluence of four complex discourses: typical child development discourses with particular attention paid to the importance of social development; family discourses with particular attention paid to the role of the family in a child"s social development; disability discourses with particular attention paid to the unique challenges families face in supporting the social development of their children with disabilities; and early childhood special education discourses related to family-centered approaches to educational intervention. Narrative vignettes were used to present the ground of the study. These vignettes were generated from conversational interviews with parents of preschool children with disabilities. Emerging meanings were constructed using a number of conventions of grounded theory analysis and include four conceptual categories: choosing your own reality, holding onto hope, striving to make connections, and struggling for recognition. Additionally, the core concept of living with "shifting pictures" in a kaleidoscopic world v is discussed. This kaleidoscope metaphor is utilized as parents seem to struggle to find a place of belonging for their children represented by symmetry, while simultaneously struggling to avoid social isolation represented by asymmetry. However, as the research process moved toward culmination a variety of issues began to surface including a narrative shift from the more specific understanding of social relationships to an understanding of the myriad of concerns families face when parenting a preschool child with a disability. These concerns are discussed along with a critique of my use of interpretative grounded theory methods. Implications for practice include the reframing of normal, and the use of empathetic witnessing and reflection as core concepts of early intervention pre-service training and practice. Possible directions for future study may be the effects of HIPAA (the Health Insurance Portability and Accountability Act) and FERPA (The Family Educational Rights and Privacy Act) on the social relationships of children with disabilities, and an exploration of what sense of belonging parents may or may not have for their children with disabilities. vi

The analysis of correlation function data obtained by Monte Carlo simulations of the two-dimensional 4-state Potts model, XY model, and self-dual disordered Ising model at criticality are presented. We study the logarithmic corrections to the algebraic decay exhibited in these models. A conformal mapping is used to relate the finite-geometry information to that of the infinite plane. Extraction of the leading singularity is altered by the expected logarithmic corrections, and we show numerically that both leading and correction terms are mutually consistent.

Grupo de Arquiteturas e Circuitos Integrados (GACI) Departamento de Informática – Universidade Federal de Pelotas (UFPel) Caixa Postal 354 – 96.010-900 – Pelotas – RS – Brasil ... {rdornelles.ifm,fsampaio.ifm,danielp.ifm, gcorrea_ifm,dnoble.ifm,agostini}@ufpel.edu.br

Abstract. We tested the impact of mood on the debugging performance of programmers. Four movie clips were used to induce programmer's mood. In the test, 72 programmers watched both a neutral video clip and one of the four mood evoking video clips and after each of these they took a debugging test. Examination of the test results revealed an almost significant effect for the arousal mood-dimension on both debug score (F (1, 70)= 3.33, p= 0.07) and on the number of questions attempted within the required time (F (1, 70)= 6.26, ...

Recent feasibility studies involving children with autism spectrum disorders (ASD) interacting with socially assistive robots have shown that some children have positive reactions to robots, while others may have negative reactions. It is unlikely that children with ASD will enjoy any robot 100% of the time. It is therefore important to develop methods for detecting negative child behaviors in order to minimize distress and facilitate effective human-robot interaction. Our past work has shown that negative reactions can be readily identified and classified by a human observer from overhead video data alone, and that an automated position tracker combined with human-determined heuristics can differentiate between the two classes of reactions. This paper describes and validates an improved, non-heuristic method for determining if a child is interacting positively or negatively with a robot, based on Gaussian mixture models (GMM) and a naive-Bayes classifier of overhead camera observations. The approach achieves a 91.4% accuracy rate in classifying robot interaction, parent interaction, avoidance, and hiding against the wall behaviors and demonstrates that these classes are sufficient for distinguishing between positive and negative reactions of the child to the robot.

Traditional Structure-from-Motion (SfM) uses images captured by cameras as inputs. In this paper, we explore using light fields captured by plenoptic cameras or camera arrays as inputs. We call this solution plenoptic SfM or P-SfM solution. We first present a comprehensive theory on ray geometry transforms under light field pose variations. We derive the transforms of three typical ray manifolds: rays passing through a point or point-ray manifold, rays passing through a 3D line or ray-line manifold, and rays lying on a common 3D plane or ray-plane manifold. We show that by matching these manifolds across LFs, we can recover light field poses and conduct bundle adjustment in ray space. We validate our theory and framework on synthetic and real data on light fields of different scales: small scale LFs acquired using a LF camera and large scale LFs by a camera array. We show that our P-SfM technique can significantly improve the accuracy and reliability over regular SfM and PnP especially on traditionally challenging scenes where reliable feature point correspondences are difficult to obtain but line or plane correspondences are readily accessible.

Anime are interesting and they also provide lots of different context for the viewer. Language learning in classroom does not use such element, especially in a country like Bangladesh. Traditional methods are being used in classes where English is treated as a subject but not a language, which is acquired better than learned forcefully. Use of books, black boards and white boards are very common and monotonous. Different studies have been done worldwide on this idea of using anime to teach English but in most of the cases they are used as material or, as secondary source. In this study, anime was used in direct and explicit way to see impact of using anime on students in an ESL classroom. The survey was done on two different groups which were the controlled and the experimental group. The findings showed that the impact of watching anime in class was positive and students were focused on class.

Low-level appearance as well as spatio-temporal features , appropriately quantized and aggregated into Bagof-Words (BoW) descriptors, have been shown to be effective in many detection and recognition tasks. However, their efficacy for complex event recognition in unconstrained videos have not been systematically evaluated. In this paper, we use the NIST TRECVID Multimedia Event Detection (MED11 [1]) open source dataset, containing annotated data for 15 high-level events, as the standardized test bed for evaluating the low-level features. This dataset contains a large number of user-generated video clips. We consider 7 different low-level features, both static and dynamic, using BoW descriptors within an SVM approach for event detection. We present performance results on the 15 MED11 events for each of the features as well as their combinations using a number of early and late fusion strategies and discuss their strengths and limitations.

In this paper, we develop a novel framework for action recognition in videos. The framework is based on automatically learning the discriminative trajectory groups that are relevant to an action. Different from previous approaches, our method does not require complex computation for graph matching or complex latent models to localize the parts. We model a video as a structured bag of trajectory groups with latent class variables. We model action recognition problem in a weakly supervised setting and learn discriminative trajectory groups by employing multiple instance learning (MIL) based Support Vector Machine (SVM) using pre-computed kernels. The kernels depend on the spatio-temporal relationship between the extracted trajectory groups and their associated features. We demonstrate both quantitatively and qualitatively that the classification performance of our proposed method is superior to baselines and several state-of-the-art approaches on three challenging standard benchmark datasets.

Robot furniture is a growing area of robotics research, as people easily anthropomorphize these simple robots and they fit in easily to many human environments. Could they also be of service in recruiting people to play chess? Prior work has found motion gestures to aid in persuasion, but this work has mostly occurred in in-lab studies and has not yet been applied to robot furniture. This paper assessed the efficacy of four motion strategies in persuading passerbyers to participate in a ChairBot Chess Tournament, which consisted of a table with a chessboard and two ChairBots-one for the white team, and another for the black team. The study occurred over a six-week period, seeking passersby to play chess in the atrium of our Computer Science building for an hour each Friday. Forward-Back motion was the most effective strategy in getting people to come to the table and play chess, while Spinning was the worst. Overall, people found the ChairBots to be friendly and somewhat dog-like. In-the-wild studies are challenging, but produce data that is highly likely to be replicable in future versions of the system. The results also support the potential of future robots to recruit participants to activities that they might already enjoy.

Fagno da Silva Soares 1, 2 A 'história/historiografia digital' poderá mesmo ficar restrita a um grupo de historiadores que vão usá-la como metodologia e/ou estudá-la enquanto campo? [...] Para ler o mundo digital e pensar historicamente no século XXI a academia precisa se abrir às discussões da 'história/historiografia digital' cuja emergência talvez vá além do surgimento de um campo ou de um método, mas expresse uma virada crítica no modus faciendi da Clio.

RESUMEN:El propósito de este estudio fue explorar los resultados de la utilización de videos sobre casos de emprendimientos locales orientados a complementar el aprendizaje en la cátedra de Creación de Empresas de la Escuela de Estudios Industriales y Empresariales de la Universidad Industrial de Santander (UIS). El análisis cuantitativo mostró que la utilización de está práctica de innovación docente mejoró la percepción de los estudiantes sobre la eficiencia en el proceso de aprendizaje.ABSTRACT:The purpose of this study was to explore the results obtained when using videos on local entrepreneurial cases which complement the learning process in the subject called Company Creation at Escuela de Estudios Industriales y Empresariales de la Universidad Industrial de Santander (UIS). This quantitative study shows that the application of this teaching practice improves the students´ perceptions on the successfulness of the learning process.RESUMÉÉ:Le but de cette étude est d’explorer le...

Low cost RGB-D sensors such as the Microsoft Kinect have enabled the use of depth data along with color images. In this work, we propose a multi-modal approach to address the problem of removal of fences/occlusions from images captured using a Kinect camera. We also perform depth completion by fusing data from multiple recorded depth maps affected by occlusions. The availability of aligned image and depth data from Kinect aids us in the detection of the fence locations. However, accurate estimation of the relative shifts between the captured color frames is necessary. Initially, for the case of static scene elements with simple relative motion between the camera and the objects, we propose the use of affine scale-invariant feature transform descriptor (ASIFT) to compute the relative global displacements. We also address the scenario wherein the relative motion between the frames may not be global using the depth map obtained by Kinect. For such a scenario involving complex motion of scene pixels, we use a recently proposed robust optical flow technique. We show results for challenging real-world data wherein the scene is dynamic. The inverse ill-posed problems of estimation of the de-fenced image and the inpainted depth map are solved using an optimization-based framework. Specifically, we model the unoccluded image and the completed depth map as two distinct Markov random fields, respectively, and obtain their maximum a-posteriori estimates using loopy belief propagation.

This paper presents an effective approach for detecting abandoned luggage in surveillance videos. We combine short-and long-term background models to extract foreground objects, where each pixel in an input image is classified as a 2-bit code. Subsequently, we introduce a framework to identify static foreground regions based on the temporal transition of code patterns, and to determine whether the candidate regions contain abandoned objects by analyzing the back-traced trajectories of luggage owners. The experimental results obtained based on video images from 2006 Performance Evaluation of Tracking and Surveillance and 2007 Advanced Video and Signal-based Surveillance databases show that the proposed approach is effective for detecting abandoned luggage, and that it outperforms previous methods. Index Terms-Abandoned luggage detection, abandoned object detection, short-term background model, long-term background model, object detection and tracking, visual surveillance.

Abstract
The aim of this research is to analyse the use made of humour on the social network TikTok, because the content published on this platform, which incites laughter, attracts a large audience, but not all videos choose the same way of making comedy, nor do they make use of the same technical resources. Therefore, this study has been approached using a quantitative approach. At the first level, an empirical analysis of data from twelve months (1st October 2021 to 31st September of 2022) of the TikTok accounts of the content creators in the sample was carried out (n=914). The following variables were prioritised: number of posts, views and audience interactions. On a second level, a content analysis of their publications was carried out (n=70). The Spanish content creators chosen for this deadpan are: animalize21, badbixsamantha, jorgeamor, gersanc_ and whereisleto. It is concluded that the most successful type of humour on TikTok is affiliative humour that makes comedy out of everyday situations. Additionally, this type of videos are especially dynamic, as all the technical elements that compose them work to accelerate the pace because the audience and the platform demand it.
Keywords: Humour, humour videos, TikTok, social media, generation Z.

Resumen

El objetivo de esta investigación es analizar el uso que se hace del humor en la red social TikTok, porque el contenido publicado en esta plataforma, que incita a la risa, atrae a una gran audiencia, pero no todos los vídeos eligen la misma forma de hacer comedia, ni hacen uso de los mismos recursos técnicos. Así pues, este estudio se ha abordado mediante un enfoque cuantitativo. En un primer nivel se ha realizado un análisis empírico de datos extraídos de doce meses (1 de octubre de 2021 al 31 de septiembre de 2022) de las cuentas de TikTok de los creadores de contenido que componen la muestra (n=914). En él se han priorizado las siguientes variables: número de publicaciones, visualizaciones e interacciones de la audiencia. Y en un segundo nivel, se ha elaborado un análisis de contenido de sus publicaciones (n=70). Los creadores de contenido españoles elegidos que componen esta muestra son: animalize21, badbixsamantha, jorgeamor, gersanc_ y whereisleto. Se concluye que el tipo de humor más exitoso en TikTok es el humor afiliativo que hace comedia de situaciones cotidianas. Adicionalmente, este tipo de vídeos son especialmente dinámicos, pues todos los elementos técnicos que los componen trabajan para acelerar el ritmo porque la audiencia y la plataforma así lo demandan.

Palabras clave: humor, vídeos de humor, TikTok, redes sociales, generación Z.

Collaborative learning environments require carefully crafted designs-both technical and social. This paper presents a model describing how to design socio-technical environments that will promote collaboration in group activities. A game was developed based on this model. This tool was used to conduct experiments for studying the collaborative learning process. Testing with this system revealed some strengths and weaknesses, which are being addressed in the ongoing research.

Certas aplicações, tais como a verificação de locutor, o reconhecimento de diálogo ou a transcrição de voz para texto podem exigir processamento em tempo real e uma boa precisão. Outras aplicações tais como brinquedos, veículos móveis ou máquinas portáveis ainda podem agregar o requisito de portabilidade, e de baixo consumo, além de um sistema fisicamente compacto. Tais requisitos podem exigem uma solução em hardware para o problema de reconhecimento automático de voz. O presente trabalho propõe uma arquitetura utilizando hardware baseado em FPGAs, otimizando os algoritmos de pré-processamento e extração de parâmetros para o reconhecimento automático de voz.