The changing face of human-computer interaction in the age of ubiquitous computing

HCI is reinventing itself. No longer only about being user centered, it has set its sights on pastures new, embracing a much broader and far-reaching set of interests. From emotional, eco-friendly, embodied experiences to context, constructivism and culture, HCI research is changing apace: from what it looks at, the lenses it uses and what it has to offer. Part of this is as a reaction to what is happening in the world; ubiquitous technologies are proliferating and transforming how we live our lives. We are becoming more connected and more dependent on technology. The home, the crèche, outdoors, public places and even the human body are now being experimented with as potential places to embed computational devices, even to the extent of invading previously private and taboo aspects of our lives. In this paper, I examine the diversity of lifestyle and technological transformations in our midst and outline some 'difficult' questions these raise together with alternative directions for HCI research and practice

Age prediction through the influence of fatigue levels in human-computer interaction

Dissertação de mestrado integrado em Informatics EngineeringThe evolution of current times and the available technology is making it easier to access potentially inappropriate content. Therefore, the ability to detect the age of the human being, by non-invasive methods, is increasingly necessary to reduce possible false claims. All of these claims arise through interactions with the device, so, and taking into account the demands and the fast pace of everyday life, the intent is to develop a system capable of detecting age groups, taking into account the presence of human factors like fatigue or stress that can change the interaction patterns. This system will use biometric features created by keyboard and mouse events, describing typing velocity, mouse acceleration, and so on in the period of five minutes. However, keeping in mind the everyday pace and the growth in mobile phone use, a similar system is created for this case study.A evolução dos tempos modernos e das tecnologias existentes está a tornar mais fácil o acesso a conteúdos potencialmente impróprios. Assim, a capacidade para detetar a idade de um ser humano, por métodos não invasivos, é cada vez mais necessário de forma a reduzir potenciais falsas alegações. Todas estas alegações provêm através de interações com um dispositivo, dessa forma, e tendo em conta as exigências e o ritmo acelerado do quotidiano, o objetivo passa pelo desenvolvimento de um sistema capaz de detetar idades, considerando a presença de fatores humanos que poderão influenciar os padrões de interação, como fadiga ou stress. Este sistema irá utilizar biometrias criadas a partir de eventos de teclado e rato, descrevendo velocidade de escrita, aceleração do rato, entre outras no período de cinco minutos. Contudo, tendo em conta o ritmo acelerado do quotidiano e crescimento do uso de telemóveis, um sistema similar é criado para este caso estudo

Can I Have Your Attention? Implications of the Research on Distractions and Multitasking for Reference Librarians

The media have identified the last decade as “the age of distraction.” People today find it harder to work on long, sustained tasks because distractions are eroding their attention span, fostering a culture of discontinuity. Fields as diverse as psychology, business, education, human-computer interaction, and communication studies have produced a wealth of studies on interruptions, distractions, and multitasking–research that has important implications for reference librarians. The nature of our jobs invites interruptions by the public, requires familiarity with the latest technology, stimulates curiosity about a broad range of subjects, and demands adeptness at multitasking–all factors which can atomize attention

Searching Information through Technology and Human Interaction

The Computer Age also known as Digital Age and Information Age and New Media Age has been the most impactable historical period of human civilization If well the truth that its precursor the Industrial Revolution drastically changed the way societies lived and worked and plaid the magnitude of its impact in terms of communication cannot be compared with the one the Computer Age has brought into today s society Consequently technology and human interaction have become a modern society norm Indeed a well-considered focus for academic and scientific research The study takes on the Communication philosophy and Communication Theory to present an outlook on searching for information through technology and human interaction It focuses on the Shamon Weaver Model to transcribe this model communication concept into a Search Engine Communication Model SECM The study has used a qualitative method approach for the collection and analysis of correlated materials such as books and publications and Internet-accredited websites The results of this study are beneficial to the academic and scientific communities respectivel

Editorial

The fourth issue of CIT. Journal of Computing and Information Technology consists of five papers from its regular section and one originating from the 16th International Conference on Human-Computer Interaction – HCI International 2014. The papers describe R&D efforts performed in the areas of computer networks, Semantic Web, optimization algorithms, project management as well as HCI for the Age of Learning.</p

Comparative study of human age estimation based on hand-crafted and deep face features

In the past few years, human facial age estimation has drawn a lot of attention in the computer vision and pattern recognition communities because of its important applications in age-based image retrieval, security control and surveillance, biomet- rics, human-computer interaction (HCI) and social robotics. In connection with these investigations, estimating the age of a person from the numerical analysis of his/her face image is a relatively new topic. Also, in problems such as Image Classification the Deep Neural Networks have given the best results in some areas including age estimation. In this work we use three hand-crafted features as well as five deep features that can be obtained from pre-trained deep convolutional neural networks. We do a comparative study of the obtained age estimation results with these features