This paper describes the design, application, and refinement of a qualitative tool designed to study sense of place. The Place Probe incorporates a range of stimuli and techniques aimed at articulating a person's sense of place. It has been developed, used, and undergone three revisions. The paper describes the background to the choice of measures that were included in the Place Probe and describes its application in both a physical place and a virtual representation of that place. This enables a comparison of the experiences. An analysis of the results reveals a similarity of reported experience, however the extremes experienced in the physical place were less pronounced in the virtual representation. The Place Probe has been refined in light of the results of the empirical work and now incorporates both qualitative and quantitative data on the experience of place.

This demonstration presents findings from two studies on presence that use a new technology for developing photorealistic virtual environments. Our studies have used a combination of qualitative and quantitative measures, and in doing so have pointed to the importance of exploring place as part of presence. The demonstration explores issues of presence in such environments and the range of data capture methods we used and methodological issues found.

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Cyber Threat Intelligence (CTI) can be used by organisations to assist their security teams in safeguarding their networks against cyber-attacks. This can be achieved by including threat data feeds into their networks or systems. However, despite being an effective Cyber Security (CS) tool, many organisations do not sufficiently utilise CTI. This is due to a number of reasons such as not fully understanding how to manage a daily flood of data filled with extraneous information across their security systems. This adds an additional layer of complexity to the tasks performed by their security teams who might not have the appropriate tools or sufficient skills to determine what information to prioritise and what information to disregard. Therefore, to help address the stated issue, this paper aims firstly to provide an in-depth understanding of what CTI is and how it can benefit organisations, and secondly to deliver a brief analysis of the application of Artificial Intelligence and Machine Learning in generating actionable CTI. The key contribution of this paper is that it assists organisations in better understanding their approach to CTI, which in turn will enable them to make informed decisions in relation to CTI.

This paper examines the interesting problem of designing seating plans for large events such as weddings and gala dinners where, amongst other things, the aim is to construct solutions where guests are sat on the same tables as friends and family but, perhaps more importantly, are kept away from those they dislike. This problem is seen to be N P-complete from a number of different perspectives. We describe the problem model and heuristic algorithm that is used on the commercial website www.weddingseatplanner.com. We present results on the performance of this algorithm, demonstrating the factors that can influence run time and solution quality, and also present a comparison with an equivalent IP model used in conjunction with a commercial solver.