Abstract
This work is about return on investment (ROI) estimation based on a set of scenarios related with Cloud services adoption by Portuguese higher education (HE) institutions. The adopted methodology required the development of a survey and its distribution among institutions. The collected data allowed us to evaluate a set of indicators and metrics in order to design ROI models. With such models it was possible to estimate the cost benefit of Cloud Computing paradigm in the context of Portuguese HE infrastructures and services.

Abstract
Acquired brain injury (ABI) is one of the main causes of death and disability in Portugal and other Western countries. ABI typically results in physical, cognitive and psychosocial deficits, leading to life-long dramatic changes in the quality of life (QOL) of patients and their families, with well-documented negative implications for their community integration. Independent mobility using means of transportation is considered a nuclear area of community integration for people with disabilities [3]. However, direct contact with reality is limited for this population. Virtual reality (VR) constitutes a promising alternative of approximation to real life that may help increase the level of generalization of skills developed in programs that use this kind of technology. However, research on VR effects is necessary. The main goal of our project is to study the use of VR technology in the rehabilitation of executive dysfunction and memory. A VR program, CARP-VR, is in development, consisting of environments that simulate reality, with which patients will interact, performing various tasks. It is expected that CARP-VR intervention will lead to cognitive gains and generalization of acquired capacities to real-life activities, reflecting an amelioration of patients' functional independence and QOL that will contribute for the integration of these patients.

Abstract
The introduction of Adaptive Cruise Control (ACC) could be very helpful for making the longitudinal driving task more comfortable for the drivers and, as a consequence, it could have a global beneficial effect on road safety. However, before or during the usage of the device, due to several reasons, drivers might generate in their mind incomplete or flawed mental representations about the fundamental operation principles of ACC; hence, the resulting usage of the device might be improper, negatively affecting the human-machine interaction and cooperation and, in some cases, leading to negative behavioural adaptations to the system that might neutralise the desirable positive effects on road safety. Within this context, this paper will introduce the methodology which has been developed in order to analyse in detail the topic and foresee, in the future, adequate actions for the recovery of inaccurate mental representations of the system.

Abstract
Lately, with the goal of improving road safety, car makers developed and commercialised some Advanced Driver Assistance Systems (ADAS) which, through the detection of blind spot areas on the vehicle's sides, could help the drivers during the overtaking and the change lane task. Despite the possible benefits to reduce lateral crashes, the overall impact on road safety of such systems have not been deeply studied yet; notably, despite some researches have been carried out, there is a lack of studies regarding the long-term usage and drivers' acceptance of those systems. In order to fill the research gap, a methodology, based on the combination of focus groups interviews, questionnaires and a small-scale field operational test (FOT), has been designed in this study; such a methodology aims at evaluating drivers' acceptance of Blind Spot Information System (R) and at proposing some ideas to improve the usability and user-friendliness of this (or similar) device in their future development.

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