Abstract
Technological developments have had a major impact on the intensive use of electronic equipment, networked or connected to the internet, factors that have boosted the emergence and growth of cybercrime. Measures to mitigate and combat the phenomenon, taking into account its complexity and specificity, must involve all public entities with responsibility in the sector, in a global effort to promote digital literacy in the areas of cybersecurity and computer crime prevention. These comprehensive actions should use digital technologies based on artificial intelligence (AI), such as virtual assistants, whose characteristics allow the massification of information transmission, while enhancing the digital inclusion of users. Government entities are engaged in adopting technologies based on chatbots, with their presence in several areas of public administration. Despite the evolution, these resources have not yet been made available by the entities responsible for mitigating computer crime. On the other hand, although there are government programs aimed at increasing the digital skills of citizens, namely regarding the protection of devices, digital content or personal data, they are not designed for the specificities of cybercrime. In this context, a system based on chatbots, implemented in a digital governance context, by law enforcement agencies, with resources shared with other government entities can contribute to the prevention of cybercrime. © 2022 IEEE.

Abstract

Abstract
The main purpose for conducting this research is to analyze the core advantages and disadvantages of automatic assessment tools. With this in mind, we considered two different web sites of two distinct Portuguese Universities and compare the accessibility and usability issues found, aiming at identifying core problems through errors / warnings. This outcome will help us understand the weaknesses of such automatic tools and, thus, suggest features that could be added to improve their analysis. These findings will serve as a basis for a proposal of a new type of platform capable of making any web or mobile application accessible to all types of users, regardless of their impairments (e.g., blindness, deafness, motor or intellectual disabilities). © 2022 IEEE.

Abstract
This work focuses on the issues encountered when using current evaluation tools to assess the accessibility and usability of web and mobile applications. Therefore, we present a case study, where we tested three accessibility assessment tools against the official website of Portuguese Institute for Employment and Vocational (IEFP), used by millions of users nationwide. Indeed, we found that individual tools still provide limited coverage of success criteria and, thus, user verification is consistently needed. In this regard, we also aim at proposing a new tool called IncWeb, that can automatically alter any web or mobile application into a usable and fully accessible one, in a way that is transparent to the user and adapted to his type of disability. As such, this work emphasizes the importance of having appropriate tools to facilitate the lives of people with disabilities and/or special needs, presenting not only the problems of other assessment tools, but also proposing a new paradigm-changing solution to overcome those known challenges. © 2022 Elsevier B.V.. All rights reserved.

Abstract
Assistive environments is a well established research area, particularly, the Ambient Assisted Living (AAL) paradigm, which relies in data and artificial intelligence to infer the user's actions and status, thus enabling assistive actions. In a very distinct environment - the manufacturing industry, we propose a twin concept - the Ambient Assisted Working (AAW), to provide assistance to the workers on the factory floor, using solutions with design principles similar to AAL systems. The Industry 4.0 (I4.0) Technical Assistance design principle, introduces the assistance concept in I4.0 solutions and the AAW builds on top of that design principle.

Abstract
The advance of technology in the automotive industry brought several new functionalities providing more efficiency and safety. This, however, has one important concern: the development has become more complex. AMALTHEA is a framework for automotive system design and development in a model-based development fashion. It includes several features, including testing, software design, simulation and traceability. This paper presents ongoing work to integrate GPU tracing in the AMALTHEA standard format for tracing execution events, thus enabling platform heterogeneity to be supported in the tracing model. © 2022, Ada-Europe. All rights reserved.