3,653 research outputs found

    Seniores online: apropriação de dispositivos móveis em diferentes cenários de aprendizagem

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    Comunicação apresentada no 3º Encontro sobre Jogos e Mobile Learning, realizado em maio de 2016 na Faculdade de Psicologia e Ciências da Educação da Universidade de Coimbra.Esta comunicação apresenta uma investigação em curso cujo objetivo é contribuir para a redução das desigualdades no acesso e uso de dispositivos digitais táteis bem como para promover uma participação mais efetiva dos idosos na sociedade digital. Diversos estudos indicam que os seniores estão mais predispostos a utilizar dispositivos móveis táteis do que computadores com teclados e ratos físicos, devido às suas características e funcionalidades. Nesta investigação pretende-se estudar qual é a apropriação realizada dos dispositivos móveis por toque (tablets e smartphones) por indivíduos na 3ª idade em diferentes cenários de aprendizagem nas áreas de comunicação, socialização, saúde e bem-estar, em tarefas relacionadas com a aquisição de bens e serviços online. Pretende-se construir um modelo de formação específico adaptado às suas características, interesses e necessidades com recurso aos dispositivos táteis e aplicações móveis.info:eu-repo/semantics/publishedVersio

    Implicit, Explicit, and Structural Barriers and Facilitators for Information and Communication Technology Access in Older Adults

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    Older adults’ usage of information and communication technology (ICT) is challenged or facilitated by perception of usefulness, technology design, gender, social class, and other unspoken and political elements. However, studies on the use of ICT by older adults have traditionally focused on explicit interactions (e.g., usability). The article then analyzes how symbolic, institutional, and material elements enable or hinder older adults from using ICT. Our ethnographic methodology includes several techniques with Spanish older adults: 15 semi-structured interviews, participant observation in nine ICT classes, online participant observation on WhatsApp and Jitsi for 3 months, and nine phone interviews due to COVID-19. The qualitative data were analyzed through Situational Analysis. We find that the elements hindering or facilitating ICT practice are implicit-symbolic (children’s surveillance, paternalism, fear, optimism, low self-esteem, and contradictory speech-act), explicit-material (affordances, physical limitations, and motivations), and structural-political (management, the pandemic, teaching, and media skepticism). Furthermore, unprivileged identities hampered the ICT practices: female gender, blue-collar jobs, illiteracy, and elementary education. However, being motivated to use ICT prevailed over having unprivileged identities. The study concludes that society and researchers should perceive older adults as operative with technologies and examine beyond explicit elements. We urge exploration of how older adults’ social identities and how situatedness affects ICT practice. Concerning explicit elements, Spanish authorities should improve and adapt ICT facilities at public senior centers and older adults’ homes, and ICT courses should foster tablet and smartphone training over computers

    Challenges in Developing Applications for Aging Populations

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    Elderly individuals can greatly benefit from the use of computer applications, which can assist in monitoring health conditions, staying in contact with friends and family, and even learning new things. However, developing accessible applications for an elderly user can be a daunting task for developers. Since the advent of the personal computer, the benefits and challenges of developing applications for older adults have been a hot topic of discussion. In this chapter, the authors discuss the various challenges developers who wish to create applications for the elderly computer user face, including age-related impairments, generational differences in computer use, and the hardware constraints mobile devices pose for application developers. Although these challenges are concerning, each can be overcome after being properly identified

    Tactile input features of hardware: Cognitive processing in relation to digital device

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    Three relatively distinct types of devices have characterized the digital revolution; 1) the personal computer of the 1990s, 2) the mobile phone in the first decade of the new millennium and, most recently, 3) the tablet computer. Socio-cognitive theorists maintain that use of tools and technologies over time, changes the nature of human mental processes. For example, computer technology affords increased opportunities for cognitive stimulation (e.g., played games and reading) which, with prolonged use and in a general sense, improves human intellectual capabilities. While personal computers, mobile phones and tablet computers differ in terms of screen size and portably, touchscreen input may be particularly relevant to cognition. This paper reviews recent research which establishes that use of personal computers and mobile phones is associated with improved human cognition. Since tablet computers have penetrated popular culture in less than two years, their effect on cognitive processing remains largely speculative. To some extent, research findings on the cognitive impact of personal computers and mobile phones might reasonably be generalized to tablet computers, particularly the suggestion that technology increases cognitive stimulation which, over time, improves human cognitive processes. However, increased tactile connection with digital devices, as is the case with touchscreen technology, might reasonably be assumed to increase the impact of tools on human cognition. The use of hands and fingers is critically related to human brain functioning and evolution

    APPLICATION OF INFORMATION COMMUNICATION TECHNOLOGIES IN THE STUDY PROCESSES OF THE UNIVERSITIES OF THE THIRD AGE

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    The article reviews the experience of people arranging studies involving information and communication technologies into the University of the Third Age studies organization. Life expectancy is longer and the birth rate is lower in proportion to older age people; due to these facts, the ageing is even more noticeable. This situation requires certain measures, which would be effective in the future. Non-formal education institutions, including University of the Third Age, react to the changes and offer trainings which help older people to maintain working-capacity, physical, social and psychological health. In order to provide greater benefits, it is important to pay attention not only to the students of the Third Age but to the needs and changes of society on the whole. It is obvious that in the twenty-first century life is hardly imaginable without information-communication technologies (ICT), which are not only rapidly growing and modifying but are also integrating and changing each and every one aspects of people`s lives, regardless of their age. Therefore, it is extremely important that elder persons have at least minimal of computer literacy and ICT skills in order to conform to modern society standards

    A Mixed Methodology Study of the Effects of Age, Touchscreens, New Technology, Automation, and Interactions on Pilot Performance

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    This study examined the effects of age on new technology, touchscreens, automation, and the interaction with pilot performance. Touchscreens have been introduced on the aviation flight deck, combining all pilot tasks in one device in multiple locations. This study is one of the first to examine pilots, touchscreens and age. Previous studies focused on vibration, turbulence, interfaces, ergonomics, and location for incorporating them on the flight deck. This was conducted as an online survey with pilots that have worked with touchscreens in flight operations. The results found that age has an effect on pilots interacting and working with touchscreens. This effect was found with pilots age 60 and above, but there were issues within all age groups interacting and working with touchscreens. Finding the information or path was one issue, as well as layout, design and interface mentioned by all age groups. More training, using actual touchscreens or training devices exactly replicating them, and repetition were stated as ways to alleviate these issues. The amount of touch sensitivity and pressure that are needed to interact and accomplish tasks was another issue that was stated. There is a misunderstanding in some pilots about the differences in devices and touchscreens, capacitive and resistive touch, and the reasons for this. Some pilots that understood the differences still wanted a capacitive touchscreen, like personal devices. The researcher noted that completion of the entire survey from the participants increased as the age increased and the youngest age category had the highest dropout rate

    Spotting Fake Profiles in Social Networks via Keystroke Dynamics

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    Spotting and removing fake profiles could curb the menace of fake news in society. This paper, thus, investigates fake profile detection in social networks via users' typing patterns. We created a novel dataset of 468 posts from 26 users on three social networks: Facebook, Instagram, and X (previously Twitter) over six sessions. Then, we extract a series of features from keystroke timings and use them to predict whether two posts originated from the same users using three prominent statistical methods and their score-level fusion. The models' performance is evaluated under same, cross, and combined-cross-platform scenarios. We report the performance using k-rank accuracy for k varying from 1 to 5. The best-performing model obtained accuracies between 91.6-100% on Facebook (Fusion), 70.8-87.5% on Instagram (Fusion), and 75-87.5% on X (Fusion) for k from 1 to 5. Under a cross-platform scenario, the fusion model achieved mean accuracies of 79.1-91.6%, 87.5-91.6%, and 83.3-87.5% when trained on Facebook, Instagram, and Twitter posts, respectively. In combined cross-platform, which involved mixing two platforms' data for model training while testing happened on the third platform's data, the best model achieved accuracy ranges of 75-95.8% across different scenarios. The results highlight the potential of the presented method in uncovering fake profiles across social network platforms.Comment: 2024 IEEE 21st Consumer Communications \& Networking Conference (CCNC) | 9 pages, 8 figures, 3 algos
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