Catálogo de publicaciones - libros

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.

Social media are widely used by terrorist organizations and extremist groups for disseminating propaganda and recruiting new members. Given the recent pledges both by the major social media platforms and governments towards combating online terrorism, our work aims at understanding the terrorism-related content posted on social media and distinguishing accounts of relevance to terrorism investigations from innocuous ones. We conducted an analysis of textual, spatial, temporal and social network features on data and metadata gathered from suspended Twitter content, and compared them with non-suspended content. Our analysis reveals a number of distinct characteristics of terrorism-related Twitter accounts. This work is a first step towards automated tools for the early detection of terrorism-related and extremist content on Twitter.

The use of UAS by the law enforcement and emergency services has been widely recognized the recent years and several applications and missions have been associated to such use in a variety of cases. The main reason for this is that UAS can strengthen the operational capabilities of security organizations providing flexible and prompt response capabilities and ensure improved information flow from an incident site. PREDICATE is a UAS-based solution, which aims to support the use of drones in several types of civil protection operations, such as wide area surveillance, mapping, search and rescue, evacuation etc. UAS solutions, such as PREDICATE, can be linked with computer aided dispatch services of community policing, providing prompt response and informed decision making for addressing the needs of managing local and neighbourhood issues. UAS can perform SaR missions in less time than ground-based teams and provide enhanced situational awareness. Furthermore, timely information from the incident scene can be gathered and analysed for documenting response plans. Finally, the capabilities of PREDICATE tool to detect, identify and recognize objects, which can be tracked, can provide the law enforcement personnel and local communities with significant time and information.