Quality assessment technique for ubiquitous software and middleware

The new paradigm of computing or information systems is ubiquitous computing systems. The technology-oriented issues of ubiquitous computing systems have made researchers pay much attention to the feasibility study of the technologies rather than building quality assurance indices or guidelines. In this context, measuring quality is the key to developing high-quality ubiquitous computing products. For this reason, various quality models have been defined, adopted and enhanced over the years, for example, the need for one recognised standard quality model (ISO/IEC 9126) is the result of a consensus for a software quality model on three levels: characteristics, sub-characteristics, and metrics. However, it is very much unlikely that this scheme will be directly applicable to ubiquitous computing environments which are considerably different to conventional software, trailing a big concern which is being given to reformulate existing methods, and especially to elaborate new assessment techniques for ubiquitous computing environments. This paper selects appropriate quality characteristics for the ubiquitous computing environment, which can be used as the quality target for both ubiquitous computing product evaluation processes ad development processes. Further, each of the quality characteristics has been expanded with evaluation questions and metrics, in some cases with measures. In addition, this quality model has been applied to the industrial setting of the ubiquitous computing environment. These have revealed that while the approach was sound, there are some parts to be more developed in the future

Proxemic interactions with multi-artifact systems

Abstract — The artifact ecologies emerging from an increasing number of interactive digital artifacts, capable of communicating with each other wirelessly, have created an interaction space where software applications are no longer limited by the physical boundaries of a single device. With the new opportunities follows an added complexity that interaction designers need to address. Previous work have shown the potential of proxemic interactions as one way of dealing with design challenges of ubicomp systems. However, the work focused on interactions involving multiple digital artifacts is limited. In this paper, we analyze two multi-artifact systems from our prior work within the domain of music consumption and identify four concepts of multi-artifact interactions: Plasticity, migration, complementarity, and multi-user. These concepts forms the basis for a discussion on the potential use of proxemic interactions in the design of multi-artifact systems. Keywords- artifact ecology, multi-artifact systems, proxemic interactions, music systems. I

Emerging technologies for learning (volume 1)

Collection of 5 articles on emerging technologies and trend

Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges

Today's mobile phones are far from mere communication devices they were ten years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more. As devices become increasingly intelligent, their capabilities evolve beyond inferring context to predicting it, and then reasoning and acting upon the predicted context. This article provides an overview of the current state of the art in mobile sensing and context prediction paving the way for full-fledged anticipatory mobile computing. We present a survey of phenomena that mobile phones can infer and predict, and offer a description of machine learning techniques used for such predictions. We then discuss proactive decision making and decision delivery via the user-device feedback loop. Finally, we discuss the challenges and opportunities of anticipatory mobile computing.Comment: 29 pages, 5 figure

An Overview of Capturing Live Experience with Virtual and Augmented Reality

In this paper, we review the use of virtual and augmented reality technologies for capture and externalization of tacit knowledge from complex activity in knowledge-intensive professions. We focus on technologies for converting experience hidden in activity with the aim to boost industry competitiveness, innovation, and facilitate learning on the job. As such types of knowledge and experience are difficult to capture and represent in traditional media, we explore emerging technology along two lines of investigation. First, we look at applications of virtual reality to then, second, focus on using sensors, augmented reality, and wearable technologies. We discuss existing and future applications of experience capturing with virtual and augmented reality technologies. This review provides a comprehensive overview for those interested in recording virtual, real, and augmented reality technologies. This review provides a comprehensive overview for those interested in recording virtual, real, and augmented activities, methods for delivering the recorded data, and extracting knowledge