Developing an Integrated Model of Interactivity in the Context of Travel-Related Web Sites

This dissertation investigates relationships among interactivity as functional features, actual interaction and perception, its moderators (i.e. experience) and its consequences (i.e. attitude, trust and purchase intention) in the context of travel-related Web sites. This study is expected to contribute to the body of knowledge by clarifying the concept of interactivity in an important advertising/marketing context. An experimental design is used to explore key questions about relationships among types of interactivity, with a focus on exploring similarities and differences in Human-to-Human and Human- to-Computer interactivity, as well as moderators and consequences of the interactive experience at travel-related Web sites

Layered Analysis of Security Ceremonies

A security ceremony expands a security protocol with everything that is considered out of band for it. Notably, it incorporates the user, who, according to their belief systems and cultural values, may be variously targeted by social engineering attacks. This makes ceremonies complex and varied, hence the need for their formal analysis aimed at their rigorous understanding. Formal analysis in turn requires clarifying the ceremony structure to build a ceremony model. The model defined here spans over a number of socio-technical layers, ranging from a computer network to society. It inspires a layered analysis of security ceremonies, that is layer by layer. This paper focuses on the human-computer interaction layer, which features a socio-technical protocol between a user persona and a computer interface. Future work will be to traverse all layers by formal analysis

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions

Comprehension of spoken natural language is an essential component for robots to communicate with human effectively. However, handling unconstrained spoken instructions is challenging due to (1) complex structures including a wide variety of expressions used in spoken language and (2) inherent ambiguity in interpretation of human instructions. In this paper, we propose the first comprehensive system that can handle unconstrained spoken language and is able to effectively resolve ambiguity in spoken instructions. Specifically, we integrate deep-learning-based object detection together with natural language processing technologies to handle unconstrained spoken instructions, and propose a method for robots to resolve instruction ambiguity through dialogue. Through our experiments on both a simulated environment as well as a physical industrial robot arm, we demonstrate the ability of our system to understand natural instructions from human operators effectively, and how higher success rates of the object picking task can be achieved through an interactive clarification process.Comment: 9 pages. International Conference on Robotics and Automation (ICRA) 2018. Accompanying videos are available at the following links: https://youtu.be/_Uyv1XIUqhk (the system submitted to ICRA-2018) and http://youtu.be/DGJazkyw0Ws (with improvements after ICRA-2018 submission

Reference Resolution in Multi-modal Interaction: Position paper

In this position paper we present our research on multimodal interaction in and with virtual environments. The aim of this presentation is to emphasize the necessity to spend more research on reference resolution in multimodal contexts. In multi-modal interaction the human conversational partner can apply more than one modality in conveying his or her message to the environment in which a computer detects and interprets signals from different modalities. We show some naturally arising problems and how they are treated for different contexts. No generally applicable solutions are given

Mathematical practice, crowdsourcing, and social machines

The highest level of mathematics has traditionally been seen as a solitary endeavour, to produce a proof for review and acceptance by research peers. Mathematics is now at a remarkable inflexion point, with new technology radically extending the power and limits of individuals. Crowdsourcing pulls together diverse experts to solve problems; symbolic computation tackles huge routine calculations; and computers check proofs too long and complicated for humans to comprehend. Mathematical practice is an emerging interdisciplinary field which draws on philosophy and social science to understand how mathematics is produced. Online mathematical activity provides a novel and rich source of data for empirical investigation of mathematical practice - for example the community question answering system {\it mathoverflow} contains around 40,000 mathematical conversations, and {\it polymath} collaborations provide transcripts of the process of discovering proofs. Our preliminary investigations have demonstrated the importance of "soft" aspects such as analogy and creativity, alongside deduction and proof, in the production of mathematics, and have given us new ways to think about the roles of people and machines in creating new mathematical knowledge. We discuss further investigation of these resources and what it might reveal. Crowdsourced mathematical activity is an example of a "social machine", a new paradigm, identified by Berners-Lee, for viewing a combination of people and computers as a single problem-solving entity, and the subject of major international research endeavours. We outline a future research agenda for mathematics social machines, a combination of people, computers, and mathematical archives to create and apply mathematics, with the potential to change the way people do mathematics, and to transform the reach, pace, and impact of mathematics research.Comment: To appear, Springer LNCS, Proceedings of Conferences on Intelligent Computer Mathematics, CICM 2013, July 2013 Bath, U

Technology for social work education

The intention of this paper is to examine aspects of the role of information technology in social work education in relation to existing developments within an international context, conceptual issues concerning the application of CAL to the teaching of social work, and the implication of these issues for the development of integrated teaching modules in Interpersonal Skills and Research Methods, together with some of the practical issues encountered and solutions being adopted The context for the paper is joint work by the authors as members of the ProCare Project, a partnership between Southampton and Bournemouth Universities, and part of the UK Government‐funded Teaching and Learning Technology Programme (TLTP) in Higher Education. ProCare is developing courseware on Interpersonal Skills and on Research Methods for use in qualifying‐level Social Work and Nursing education. While the emphasis is on the social work version of the Interpersonal Skills module, limited reference is made to the nursing component and the differential approaches that proved necessary within the subject areas under development

Actor perception in business use case modeling

Mainstream literature recognizes the validity and effectiveness of use cases as a technique for gathering and capturing system requirements. Use cases represent the driver of various modern development methods, mainly of object-oriented extraction, such as the Unified Process. Although the adoption of use cases proliferated in the context of software systems development, they are not as extensively employed in business modeling . The concept of business use case is not a novelty, but only recently did it begin to re-circulate in the literature and in case tools. This paper examines the issues involved in adopting business use cases for capturing the functionality of an organization and proposes guidelines for their identification, packaging, and mapping to system use cases. The proposed guidelines are based on the principle of actor perception described in the paper. The application of this principle is exemplified with a worked example aimed at demonstrating the utility of the proposed guidelines and at clarifying the application of the principle of actor perception. The worked example is based on a series of workshops run at a major UK financial institution