Behavioural markers: bridging the gap between art of analysis and science of analytics in criminal intelligence

Studying how intelligence analysts use interaction in visualization systems is an important part of evaluating how well these interactions support analysis needs, like generating insights or performing tasks. Intelligence analysis is inherently a fluid activity involving transitions between mental and interaction states through analytic processes. A gap exists to complement these transitions at micro-analytic level during data exploration or task performance. We propose Behavioural markers (BMs) which are representatives of the action choices that analysts make during their analytical processes as the bridge between human cognition and computation through semantic interaction. A low level semantic action sequence computation technique has been proposed to extract these BMs from captured process log. Our proposed computational technique can supplement the problems of existing qualitative approaches to extract such BMs

Analytic provenance as constructs of behavioural markers for externalizing thinking processes in criminal intelligence analysis

Studying how analysts use interaction in visualization systems is an important part of evaluating how well these interactions support analysis needs, like generating insights or performing tasks. Analytic Provenance commonly known as interaction histories contains information about the sequence of choices that analysts make when exploring data or performing a task. This research work presents a compositional reductionist approach as a way of externalizing analyst’s thinking processes by using markers of analytical behaviour extracted from such interaction histories. Set of Behavioural Markers (BMs) have been identified through a workshop with domain experts and a systematic literature review to use them as cognitive attributes of imagination, insight, transparency, fluidity and rigour to enhance performance in criminal intelligence analysis. A low level semantic action sequence computation also has been proposed as a detection approach of identified BMs and found from computation that BMs can act as bridge between human cognition and computation through semantic interaction. This research work has addressed problems of existing qualitative experiments to extract these BMs through cognitive task analysis and found that the proposed computational technique can be a supplementary approach for validating experimental results

Analytic provenance as constructs of behavioural markers for externalizing thinking processes in criminal intelligence analysis

Studying how analysts use interaction in visualization systems is an important part of evaluating how well these interactions support analysis needs, like generating insights or performing tasks. Analytic Provenance commonly known as interaction histories contains information about the sequence of choices that analysts make when exploring data or performing a task. This research work presents a compositional reductionist approach as a way of externalizing analyst’s thinking processes by using markers of analytical behaviour extracted from such interaction histories. Set of Behavioural Markers (BMs) have been identified through a workshop with domain experts and a systematic literature review to use them as cognitive attributes of imagination, insight, transparency, fluidity and rigour to enhance performance in criminal intelligence analysis. A low level semantic action sequence computation also has been proposed as a detection approach of identified BMs and found from computation that BMs can act as bridge between human cognition and computation through semantic interaction. This research work has addressed problems of existing qualitative experiments to extract these BMs through cognitive task analysis and found that the proposed computational technique can be a supplementary approach for validating experimental results

Telepresence and the Role of the Senses

The telepresence experience can be evoked in a number of ways. A well-known example is a player of videogames who reports about a telepresence experience, a subjective experience of being in one place or environment, even when physically situated in another place. In this paper we set the phenomenon of telepresence into a theoretical framework. As people react subjectively to stimuli from telepresence, empirical studies can give more evidence about the phenomenon. Thus, our contribution is to bridge the theoretical with the empirical. We discuss theories of perception with an emphasis on Heidegger, Merleau-Ponty and Gibson, the role of the senses and the Spinozian belief procedure. The aim is to contribute to our understanding of this phenomenon. A telepresence-study that included the affordance concept is used to empirically study how players report sense-reactions to virtual sightseeing in two cities. We investigate and explore the interplay of the philosophical and the empirical. The findings indicate that it is not only the visual sense that plays a role in this experience, but all senses

Systems thinking, systems design and learning power in engineering education

Educating Engineers in systems thinking and systems design require an approach to teaching and learning in which the purpose is to achieve competence rather than to acquire specialised subject knowledge, abstracted from its socio-technical context. Such an approach is structured by context-driven enquiry, supported by learning power, positioned at the interface of knowledge generation and use, and grounded in a commitment to sustainable development. Rather than beginning with pre-defined abstract subject knowledge, the students begin with an engineering problem in a particular territory or a place, and develop a systems architecture, a holistic way of defining that territory, which facilitates synergy as well as analysing performance. In order to do this, students need to be able to uncover the different knowledge systems through which their territory can be perceived and known, and explore the different parameters and measurements which can be applied to them. Such 'systems architecting' cannot be achieved through rote learning or the cognitive application of pre-defined knowledge, since by definition the solution to the problem to be solved cannot be known in advance. Rather it depends on the ability to learn, and to progress through an open-ended, formative, dynamic learning process. It is framed by a selected purpose, fuelled by learning power (including creativity, meaning making, curiosity and resilience) and cogenerated through knowledge structuring processes. It begins with experience and observation and concludes with a product which is a unique application of knowledge for a particular engineering purpose. One of the challenges of technology enhanced learning is how to integrate learning design in an architectural framework which leverages mobile, social and 'big' data to enhance the processes and social relationships of learning, rather than simply providing information or evaluating outcomes. The approach presented in this paper outlines what can be understood as 'learning design principles' which support the development of semantic web applications, through the application of learning power and knowledge structuring processes. A pilot study demonstrates that students who successfully undertook an assignment requiring the development of a systems architecture increased in the strategic awareness-a key dimension of learning power. This small pilot study makes a contribution to the debate about the education of Chartered Engineers characterised "by their ability to develop appropriate solutions to engineering problems, using new or existing technologies, through innovation, creativity and change" (UK Engineering Council)