Emotions in human-computer interaction: the role of nonverbal behaviour in interactive systems

Until recently, the area of human-computer interaction was based on a traditional, cognitive approach, which separated the study of usability from that of emotions. The recent research has shown that emotions play an important role in our life, which led to focusing on the need of studying the emotions in the domain of interactive design. This paper underlines the role of emotions as part of the interactive human-computer process, reinstating the importance of nonverbal communication in this domain. The main issues of this paper are concerned with aspects such as: emotional design approach, the importance of nonverbal as an instrument of usability evaluation and the role of emotions in human-computer interaction.Emotional design approach, nonverbal communication, emotions, usability, Human-Computer Interaction (HCI)

Structured computer-based training in the interpretation of neuroradiological images

Computer-based systems may be able to address a recognised need throughout the medical profession for a more structured approach to training. We describe a combined training system for neuroradiology, the MR Tutor that differs from previous approaches to computer-assisted training in radiology in that it provides case-based tuition whereby the system and user communicate in terms of a well-founded Image Description Language. The system implements a novel method of visualisation and interaction with a library of fully described cases utilising statistical models of similarity, typicality and disease categorisation of cases. We describe the rationale, knowledge representation and design of the system, and provide a formative evaluation of its usability and effectiveness

Translational web robots for pathogen genome analysis

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Storage Solutions for Big Data Systems: A Qualitative Study and Comparison

Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design decisions involved in big data systems design include choosing appropriate storage and computing infrastructures. In this age of heterogeneous systems that integrate different technologies for optimized solution to a specific real world problem, big data system are not an exception to any such rule. As far as the storage aspect of any big data system is concerned, the primary facet in this regard is a storage infrastructure and NoSQL seems to be the right technology that fulfills its requirements. However, every big data application has variable data characteristics and thus, the corresponding data fits into a different data model. This paper presents feature and use case analysis and comparison of the four main data models namely document oriented, key value, graph and wide column. Moreover, a feature analysis of 80 NoSQL solutions has been provided, elaborating on the criteria and points that a developer must consider while making a possible choice. Typically, big data storage needs to communicate with the execution engine and other processing and visualization technologies to create a comprehensive solution. This brings forth second facet of big data storage, big data file formats, into picture. The second half of the research paper compares the advantages, shortcomings and possible use cases of available big data file formats for Hadoop, which is the foundation for most big data computing technologies. Decentralized storage and blockchain are seen as the next generation of big data storage and its challenges and future prospects have also been discussed

Exploring the requirements process for a complex, adaptive system in a high risk software development environment

This work ties together research from a number of different areas to show how the develop-ment of a complex adaptive system for an industrial company has a number of difficulties given the current state of the art. The INFER system which is a Complex Adaptive System (CAS) has a number of attributes which mean that current requirements and indeed develop-ment processes are not able to cope with them adequately. A CAS can be recognised by the fact that it consists of a number of agents acting together dynamically resulting in emergent behaviour. This emergent behaviour cannot be predicted and thus, along with other phenom-ena such as reaction to and with the environment and deciding the different responsibilities of the components means that the requirements process for such a system is a current research area. A retrospective case study is underway to capture the rich data available from the ex-periences of building such a syste