Semantic-Awareness for a Useful Digital Life

2011 ◽  
pp. 306-338
Author(s):  
Johann Stan ◽  
Myriam Ribière ◽  
Jérôme Picault ◽  
Lionel Natarianni ◽  
Nicolas Marie
Keyword(s):  
Social System ◽  
Daily Life ◽  
Real Life ◽  
Physical Object ◽  
Dynamic Interaction ◽  
Information Need ◽  
Social Applications ◽  
Semantic Awareness ◽  
Digital Or

In this book chapter the authors address two main challenges for building compelling social applications. In the first challenge they focus on the user by addressing the issue of building dynamic interaction profiles from the content they produce in a social system. Such profiles are key to find the best person to contact based on an information need. The second challenge presents their vision of “object-centered sociality”, which allows users to create spontaneous communities centered on a digital or physical object. In each case, proof-of-concept industrial prototypes show the potential impact of the concepts on the daily life of users. The main contribution of this chapter is the design of conceptual frameworks for helping users to take maximum advantage from their participation in online communities, either in the digital web ecosystem or real-life spontaneous communities.

CONHECIMENTO DOS PROFESSORES DE EDUCAÇÃO FÍSICA SOBRE PRIMEIROS SOCORROS NAS ESCOLAS DE SANTA CECILIA-SC

Professare ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 82
Author(s):  
Angélica Wrublak ◽  
Elaine Caroline Boscatto
Keyword(s):  
Physical Education ◽  
Daily Life ◽  
Cardiopulmonary Arrest ◽  
School Context ◽  
Real Life ◽  
First Aid ◽  
Basic Knowledge ◽  
Physical Education Teachers ◽  
Emergency Situations ◽  
Santa Cecilia

<p class="resumoabstract">Acidentes e fatalidades podem acontecer desde simples contusões até as mais urgentes hemorragias e parada cardiorrespiratória. Os primeiros socorros realizados de forma adequada podem minimizar os agravos e até mesmo salvar vidas. No âmbito escolar, situações de emergência fazem parte do cotidiano e é essencial que Professores de Educação Física tenham um conhecimento básico para atender as necessidades escolares. O presente estudo teve como objetivo verificar o conhecimento dos Professores de Educação Física (EF) da rede pública de Ensino da Cidade de Santa Cecilia-SC com relação aos Primeiros Socorros (PS). Caracterizou-se em natureza descritiva, transversal, com análise quanti-qualitativa dos dados. Participaram do estudo 11 Professores de EF. Para a coleta de dados, foi desenvolvido um questionário abordando aspectos conceituais, procedimentos e atitudes referentes ao cotidiano profissional. Do total, apenas um professor não teve a disciplina de PS na graduação. Os professores na sua minoria se sentem aptos a prestar os PS e inclusive assumir as situações, demonstrando conhecimento satisfatório na teoria, mas na prática sentem-se inseguros para agir diante de situações mais graves. Destaca-se que mais de 80% sabem como agir em atendimentos menos agravantes. Já nas situações de parada cardiorrespiratória (RCP) e hemorragias, os mesmos relataram que necessitam de um treinamento mais atualizado. Em crianças principalmente eles não sentem muito seguros em prover o auxílio. Foi possível concluir que os professores de EF apresentaram um nível de conhecimento satisfatório na teoria, mas sugerem atualizações periódicas em forma de cursos.</p><p class="resumoabstract"><strong>Palavras-chave</strong>: Primeiros Socorros. Docentes. Educação Física e Treinamento.</p><h3>ABSTRACT</h3><p class="resumoabstract">Accidents and fatalities can occur from simple bruises to the most urgent hemorrhages and cardiopulmonary arrest. First aid performed properly can minimize the aggravations and even save lives. In the school context, emergency situations are part of the daily life and it is essential that Physical Education Teachers have a basic knowledge to carry out the school needs. This study verified the Physical Education (PE) Teachers knowledge from Santa Cecilia-SC public teaching related to first aid. It featured in descriptive nature, transversal, with quantitative and qualitative analysis of the data. Eleven PE teachers participated of the study. For the data collection, it was developed a questionnaire addressing conceptual aspects, procedures and attitudes concerning professional daily life. From the total, only one teacher did not have the first aid subject at the college. Teachers in their minority feel able to provide the first aid and even take on the situations, showing satisfactory theory knowledge, however in real life they feel insecure to act on before serious situations. It points out that more than 80% know how to act before less aggravating calls. Nonetheless, during cardiopulmonary arrest (CPR) and hemorrhages, they reported the need of an updated training. Mainly in children, they do not feel safe to provide the aid. It was possible to conclude that Physical Education Teachers showed a satisfactory level of knowledge in theory, however it suggest courses periodic updates.</p><p class="resumoabstract"><strong>Keywords</strong>: First Aid. Faculty. Physical Education and Training.</p>

scholarly journals Neural methods for effective, efficient, and exposure-aware information retrieval

2021 ◽  
Vol 55 (1) ◽  
pp. 1-2
Author(s):  
Bhaskar Mitra
Keyword(s):  
Information Retrieval ◽  
Language Processing ◽  
Large Scale ◽  
Web Search ◽  
Real Life ◽  
Inverted Index ◽  
Information Need ◽  
Product Model ◽  
Performance Improvements ◽  
Deep Model

Neural networks with deep architectures have demonstrated significant performance improvements in computer vision, speech recognition, and natural language processing. The challenges in information retrieval (IR), however, are different from these other application areas. A common form of IR involves ranking of documents---or short passages---in response to keyword-based queries. Effective IR systems must deal with query-document vocabulary mismatch problem, by modeling relationships between different query and document terms and how they indicate relevance. Models should also consider lexical matches when the query contains rare terms---such as a person's name or a product model number---not seen during training, and to avoid retrieving semantically related but irrelevant results. In many real-life IR tasks, the retrieval involves extremely large collections---such as the document index of a commercial Web search engine---containing billions of documents. Efficient IR methods should take advantage of specialized IR data structures, such as inverted index, to efficiently retrieve from large collections. Given an information need, the IR system also mediates how much exposure an information artifact receives by deciding whether it should be displayed, and where it should be positioned, among other results. Exposure-aware IR systems may optimize for additional objectives, besides relevance, such as parity of exposure for retrieved items and content publishers. In this thesis, we present novel neural architectures and methods motivated by the specific needs and challenges of IR tasks. We ground our contributions with a detailed survey of the growing body of neural IR literature [Mitra and Craswell, 2018]. Our key contribution towards improving the effectiveness of deep ranking models is developing the Duet principle [Mitra et al., 2017] which emphasizes the importance of incorporating evidence based on both patterns of exact term matches and similarities between learned latent representations of query and document. To efficiently retrieve from large collections, we develop a framework to incorporate query term independence [Mitra et al., 2019] into any arbitrary deep model that enables large-scale precomputation and the use of inverted index for fast retrieval. In the context of stochastic ranking, we further develop optimization strategies for exposure-based objectives [Diaz et al., 2020]. Finally, this dissertation also summarizes our contributions towards benchmarking neural IR models in the presence of large training datasets [Craswell et al., 2019] and explores the application of neural methods to other IR tasks, such as query auto-completion.

scholarly journals Robots for Elderly Care in the Home: A Landscape Analysis and Co-Design Toolkit

2021 ◽  
Author(s):  
Gianluca Bardaro ◽  
Alessio Antonini ◽  
Enrico Motta
Keyword(s):  
Large Scale ◽  
Daily Life ◽  
Elderly Care ◽  
Real Life ◽  
Robotic Platform ◽  
Holistic View ◽  
Personal Assistants ◽  
Healthcare Interventions ◽  
The Impact ◽  
The Eu

AbstractOver the last two decades, several deployments of robots for in-house assistance of older adults have been trialled. However, these solutions are mostly prototypes and remain unused in real-life scenarios. In this work, we review the historical and current landscape of the field, to try and understand why robots have yet to succeed as personal assistants in daily life. Our analysis focuses on two complementary aspects: the capabilities of the physical platform and the logic of the deployment. The former analysis shows regularities in hardware configurations and functionalities, leading to the definition of a set of six application-level capabilities (exploration, identification, remote control, communication, manipulation, and digital situatedness). The latter focuses on the impact of robots on the daily life of users and categorises the deployment of robots for healthcare interventions using three types of services: support, mitigation, and response. Our investigation reveals that the value of healthcare interventions is limited by a stagnation of functionalities and a disconnection between the robotic platform and the design of the intervention. To address this issue, we propose a novel co-design toolkit, which uses an ecological framework for robot interventions in the healthcare domain. Our approach connects robot capabilities with known geriatric factors, to create a holistic view encompassing both the physical platform and the logic of the deployment. As a case study-based validation, we discuss the use of the toolkit in the pre-design of the robotic platform for an pilot intervention, part of the EU large-scale pilot of the EU H2020 GATEKEEPER project.

Algorithmic Analysis of Automatic Attendance System using Facial Recognition

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Face Recognition ◽  
Daily Life ◽  
Real Life ◽  
Student Attendance ◽  
Surveillance Camera ◽  
Daily Life Activities ◽  
The Face ◽  
Algorithmic Analysis ◽  
Human Faces ◽  
Face Biometrics

Attendance management can become a tedious task for teachers if it is performed manually.. This problem can be solved with the help of an automatic attendance management system. But validation is one of the main issues in the system. Generally, biometrics are used in the smart automatic attendance system. Managing attendance with the help of face recognition is one of the biometric methods with better efficiency as compared to others. Smart Attendance with the help of instant face recognition is a real-life solution that helps in handling daily life activities and maintaining a student attendance system. Face recognition-based attendance system uses face biometrics which is based on high resolution monitor video and other technologies to recognize the face of the student. In project, the system will be able to find and recognize human faces fast and accurately with the help of images or videos that will be captured through a surveillance camera. It will convert the frames of the video into images so that our system can easily search that image in the attendance database.

scholarly journals Effects of Digital Storytelling in Mathematics Instruction on Academic Achievement and Examination of Teacher-Student Opinions on the Process

2017 ◽  
Vol 5 (10) ◽  
pp. 137 ◽  
Author(s):  
İlknur Özpinar ◽  
Semirhan Gökçe ◽  
Arzu Aydoğan Yenmez
Keyword(s):  
Academic Achievement ◽  
Learning Environments ◽  
Classroom Environment ◽  
Digital Storytelling ◽  
Daily Life ◽  
Learning Experience ◽  
Real Life ◽  
Control Group ◽  
Student Opinions ◽  
Digital Stories

Storytelling is a popular instrument used in every domain of natural and social interaction for human communication and commonly used in classrooms to enrich the learning experience. With the use of technological tools in every field of our daily lives, its use in educational environments has become inevitable and in parallel with the development of these tools, digital stories have started to replace traditional storytelling. Digital storytelling offers advantages such as providing diverse applications in the classroom environment, personalizing the learning experience, being interesting, helping difficult subjects explained, addressing real-life-related situations, supporting active learning, allowing for the creation of costless learning environments, and improving motivation and achievement. Materializing a course such as mathematics in which abstract concepts are given, helping students use the learned information with stories and associate it with daily life, developing activities to make learning environments enjoyable when learning and applying by taking students away from the traditional understanding of instruction are considered some of the most important duties of teachers in this process. In accordance with the related considerations, this study aims to investigate the effects of mathematics courses instructed by association with digital storytelling on 8th-grade students’ academic achievements and the teacher and student opinions on the application process. The study using the quasi-experimental method was conducted with 58 students. The Achievement Test, written opinion forms to receive student opinions and interview form for teacher were prepared by the researchers to this end. At the end of the study, although no statistically significant differences were found between the groups in the posttest and the delayed-posttest in terms of academic achievement score averages of the students in the experimental group were found to be higher than the score averages of the students in the control group. The results achieved in this study show that digital storytelling is a powerful instrument to create more interesting and enjoyable learning environments which facilitate association with daily life, allow for effective learning and participation. It was also stated that the students and the mathematics teacher had positive opinions on use of digital stories in the courses and its contribution to the courses.

Comparative Ethnographic Views of Social Structure

2020 ◽  
pp. 111-136
Author(s):  
Aaron V. Cicourel
Keyword(s):  
Social Structure ◽  
Clinical Medicine ◽  
Daily Life ◽  
Real Life ◽  
Memory Systems ◽  
Relational Reasoning ◽  
Observation Data ◽  
Knowledge Processes ◽  
Micro Level ◽  
Complex Forms

The concept of micro social structure is viewed as a level of predication requiring explicit reference to specific knowledge processes and memory systems initiated and sustained by conscious and unconscious contacts with self and others, including verbal and nonverbal observation of daily life settings. Communal life is enabled by micro-level, affective, cognitive, analogical, and relational reasoning; different types of communicative events; and taken-for-granted normative and tacit knowledge. “Macro social structure” refers to large or enlarged complex forms of organization activities: sociocultural, political-economic, sociohistorical, aggregated micro, behavioral, communicative actions essential for eliciting demographic, sample-survey, and archival historical data that ignores tacit, micro-level phenomena—that is, real-time, real-life, conscious episodic and unconscious procedural memory, colloquial language use, gestural events, documented elicitation procedures, and mundane forms of communal daily life. This chapter examines observed and recorded, moment-to-moment, negotiated elements of behavioral outpatient clinical medicine as it emerges in situated, ethnographic settings. One goal of this chapter is to clarify the micro of the concept of cognitive overload, a cognitive/behavioral obstacle inherent in all communicative, socially organized ecological settings. Participant observation data leverages the temporal and situational comparisons of the method required for the study and explanation of micro social structure. Thus micro social structure is essential for understanding the normative, socially organized, institutionalized macro, complex activities called medical clinics, and hospital settings embedded in abstract meso-structures, such as macro-economic systems.

scholarly journals Development of Executive Functions as Reflected in Daily Life Behaviors in Young Adults at Ultra-High Risk for Psychosis: Associations With Symptoms and Functioning

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Louise Birkedal Glenthøj ◽  
Carsten Hjorthøj ◽  
Tina Dam Kristensen ◽  
Christina Wenneberg ◽  
Merete Nordentoft ◽  
...  
Keyword(s):  
High Risk ◽  
Executive Functions ◽  
Social Functioning ◽  
Clinical Symptoms ◽  
Daily Life ◽  
Real Life ◽  
Psychotic Symptoms ◽  
Ultra High Risk ◽  
Behaviour Rating

Abstract There is a paucity of evidence on executive functions (EF) as reflected in daily life behaviors in individuals at ultra-high risk (UHR) for psychosis. This prospective follow-up study investigated the 1-year development in EF in UHR compared to healthy controls (HC) and how this change may relate to change in severity of clinical symptoms, social communication, and functioning. UHR (N = 132) and HC (N = 66) were assessed with the Behaviour Rating Inventory of Executive Function–Adult version (BRIEF-A) self and informant report at baseline and 12 months follow-up comprising the Behavioral Regulation Index (BRI) and the Metacognition Index (MI). Additionally, data on depressive-, negative-, and attenuated psychotic symptoms and everyday social functioning were collected. The study found UHR to display large baseline impairments in EF in real life on both self- and informant reports. UHR and HC showed a significantly different development of EF over time, with UHR displaying greater improvements in EF compared to HC. Change in clinical symptoms did not relate to improvements in EF, except for depressive symptoms negatively associating with the development of the MI. Improvements on the BRI and MI were significantly associated with improvements in social functioning. Findings suggest the potential of UHR individuals displaying a larger ongoing maturational development of daily life EF than HC that seems predominantly independent of development of clinical symptoms. If replicated, this supports a maturational trajectory of daily life EF in UHR that approaches, but do not reach, the level of HC and may indicate a window of opportunity for targeted remediation approaches.

Playing with power: Kink, race, and desire

Sexualities ◽  
2020 ◽  
pp. 136346072096406
Author(s):  
Michelle Liang
Keyword(s):  
The Netherlands ◽  
Ethnic Minorities ◽  
Women Of Color ◽  
Daily Life ◽  
Real Life ◽  
People Of Color ◽  
Sexual Expression ◽  
Queer Women ◽  
The Face ◽  
Queer Women Of Color

Although the separation between “real life” and “play” appears to reinscribe liberal notions of autonomy, BDSM practitioners actually mobilize this boundary to trouble liberal understandings of the liberal autonomous rational agent. Through understandings desires as inextricable from power, and fetishes as displacements of anxieties, BDSM practices recognize “irrational” desires and multiple, fractured selves. In examining kink practices of queer women of color in the Netherlands, this paper explores the transformative potentials of BDSM for queer people of color, especially in resisting colonial discourses that privilege liberal discourses of agency and conceptualize bodies of color as nonmodern, inferior, exotic, and irrational. In the face of discourses that pit Dutch freedom and sexual expression against ethnic minorities and sexual constraint, marginalized kinksters are forming communities that radically centralize marginalized kink experiences and reject pathologizing discourses, as they critically alter the implications of and possibilities for slippages between daily life and kink.

The Support of Virtual 3D Worlds for Enhancing Collaboration in Learning Settings

2011 ◽  
pp. 278-299 ◽  
Author(s):  
Christian Gütl
Keyword(s):  
Collaborative Learning ◽  
Interpersonal Communication ◽  
Physics Education ◽  
Real Life ◽  
Promising Alternative ◽  
Diverse Learning ◽  
Information And Communication ◽  
Activity Awareness ◽  
Practical Experiences

Collaborative learning activities apply different approaches in-class or out-of-class, which range from classroom discussions to group-based assignments and can involve students more actively as well as stimulate social and interpersonal skills. Information and communication technology can support collaboration, however, a great number of pre-existing technologies and implementations have limitations in terms of the interpersonal communication perspective, limited shared activity awareness, and a lack of a sense of co-location. Virtual 3D worlds offer an opportunity to either mitigate or even overcome these issues. This book chapter focuses on how virtual 3D worlds can foster the collaboration both between instructors and students as well as between student peers in diverse learning settings. Literature review findings are complemented by the results of practical experiences on two case studies of collaborative learning in virtual 3D worlds: one on small group learning and one on physics education. Overall findings suggest that such learning environment’s advantages are a promising alternative to meet more easily and spontaneously; and that an integrated platform with a set of tools and a variety of communication channels provides real life world phenomena as well as different ones. On the negative side, there are usability issues in relation to the technical limitations of 3D world platforms and applications, which reduce the potential for learning in such collaborative virtual environments.

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