Improving Validity and Reliability in Children’s Self Reports of Technology Use

Researchers working in child computer interaction are constantly seeking new methods and new techniques that will enable them to carry out more valid and more reliable research. Much of this research typically considers the design and development of new products and of new interactive techniques and researchers seek to understand how easy such innovations are for children, how much fun they are to use and how attractive they may be for use. The impact of prior technology use on the children’s responses in those contexts is the core concern of this thesis. The thesis provides a set of tools (survey instruments and guidelines) that can be used by the CCI research community to ascertain the prior experience of children with any technology and with any task. These tools are generated using theory, experience and literature and are validated through user studies. The PETT survey tool comprises three questionnaires, CTEQ, CTUQ and CTHQ and an associated user guide that clearly articulates how to use PETT and demonstrates the flexibility of PETT to be used in many contexts. The guidelines (RWC, SWC and SRT) can be applied on three levels, for general use in research with children, in the design of surveys and in the specifics of designing self-report tools for prior technology experience

Smart Sensing Technologies for Personalised Coaching

People living in both developed and developing countries face serious health challenges related to sedentary lifestyles. It is therefore essential to find new ways to improve health so that people can live longer and can age well. With an ever-growing number of smart sensing systems developed and deployed across the globe, experts are primed to help coach people toward healthier behaviors. The increasing accountability associated with app- and device-based behavior tracking not only provides timely and personalized information and support but also gives us an incentive to set goals and to do more. This book presents some of the recent efforts made towards automatic and autonomous identification and coaching of troublesome behaviors to procure lasting, beneficial behavioral changes

Evaluating Evaluations of Clinical Decision Support Systems: Case Studies From NHS Clinical Settings

The NHS is under increasing pressure to cut costs while delivering high quality care. At the same time, the demand for healthcare services has grown, driven in part by the increasing number of older people in the population. NHS Trusts are adopting clinical decision support systems (CDSSs) to help decision making at the point of care. CDSSs are said to bring benefits such as improvements in guideline adherence, clinical processes and user performance but evidence of these benefits is not always available and their effectiveness in terms of improving patient outcomes is often open to question. This thesis presents research that was carried out in a large teaching NHS Trust looking at the evaluations of three CDSSs. Semi structured interviews were carried out with key informants who were involved in their adoption, use and evaluations. Documentary analysis and observations were also used to augment the interviews. Most evaluations were carried out informally by the developers and were primarily driven by external regulatory pressures rather than patient outcomes and organisational needs. Evaluation documentation was inadequate or missing, thus making it difficult to systematically assess these evaluations. This thesis contends that evaluations are important to provide decision makers in NHS Trusts with adequate information to make decisions about CDSSs and computerised healthcare information technologies in general. NHS Trusts need to build organisational capacity and readiness to enable them to effectively carry out evaluations that will provide meaningful information to gain better understanding of CDSSs and to inform their successful adoption, implementation, usage and to justify the resource allocation. This research shows that CDSS evaluations investigated took a predominantly narrow view. It thus provides evidence for the need for a more systemic approach to evaluation

Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018 : 10-12 December 2018, Torino

On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-­‐it 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall “Cavallerizza Reale”. The CLiC-­‐it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges

Examining university student satisfaction and barriers to taking online remote exams

Recent years have seen a surge in the popularity of online exams at universities, due to the greater convenience and flexibility they offer both students and institutions. Driven by the dearth of empirical data on distance learning students' satisfaction levels and the difficulties they face when taking online exams, a survey with 562 students at The Open University (UK) was conducted to gain insights into their experiences with this type of exam. Satisfaction was reported with the environment and exams, while work commitments and technical difficulties presented the greatest barriers. Gender, race and disability were also associated with different levels of satisfaction and barriers. This study adds to the increasing number of studies into online exams, demonstrating how this type of exam can still have a substantial effect on students experienced in online learning systems and technologies

Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018

On behalf of the Program Committee, a very warm welcome to the Fifth Italian Conference on Computational Linguistics (CLiC-­‐it 2018). This edition of the conference is held in Torino. The conference is locally organised by the University of Torino and hosted into its prestigious main lecture hall “Cavallerizza Reale”. The CLiC-­‐it conference series is an initiative of the Italian Association for Computational Linguistics (AILC) which, after five years of activity, has clearly established itself as the premier national forum for research and development in the fields of Computational Linguistics and Natural Language Processing, where leading researchers and practitioners from academia and industry meet to share their research results, experiences, and challenges