Abstract
Current affective user experience studies require both laborious and time-consuming data analysis, as well as dedicated affective classification algorithms. Moreover, the high technical complexity and lack of general guidelines for developing these affective classification algorithms further limits the comparability of the obtained results. In this paper we target this issue by presenting a tool capable of automatically annotating and triangulating players' physiologically interpreted emotional reactions to in-game events. This tool was initially motivated by an experimental psychology study regarding the emotional habituation effects of audio-visual stimuli in digital games and we expect it to contribute in future similar studies by providing both a deeper and more objective analysis on the affective aspects of user experience. We also hope it will contribute towards the rapid implementation and accessibility of this type of studies by open-sourcing it. Throughout this paper we describe the development and benefits presented by our tool, which include: enabling researchers to conduct objective a posteriori analyses without disturbing the gameplay experience, automating the annotation and emotional response identification process, and formatted data exporting for further analysis in third-party statistical software applications.

Abstract
Technology plays a key role in daily life of people with special needs, being a mean of integration or even communication with society. By built up experience, we find that support tools play a crucial part in empowerment of persons with special needs and small advances may represent shifts and opportunities. The diversity of solutions and the need for dedicated hardware to each feature represents a barrier to its use, compromising the success of the solutions against, among others, problems of usability and scale. This paper aims to explore the concept of inclusive collaboration to enhance the mutual interaction and assistance. The proposed approach combines and generalizes the usage of human computation in a collaborative environment with assistive technologies creating redundancy and complementarity in the solutions provided, contributing to enhance the quality of life of people with special needs and the elderly. The CanIHelp platform is an embodiment of the concept as a result from an orchestrated model using mechanisms of collective intelligence through social inclusion initiatives. The platform features up for integrating assistive technologies, collaborative tools and multiple multimedia communication channels, accessible through multimodal interfaces for universal access. A discussion of the impacts of fostering collaboration and broadening from the research concepts to the societal impacts is presented. As final remarks a set of future research challenges and guidelines are identified.

Abstract
Technology entered in our lives and changed not only the way we communicate and interact with each other, but also our habits and the experiences in the real and digital worlds. However, due to the rapid progress, we use technology in every moment of our day and sometimes this causes some frustration because the way we interact with the applications is not the most effective for the context we are in. This problem is even more significant in the business environments, where effectively the time we take to finish some kind of task can mean profit or loss for the business. The key to these problems can be in the adaptation of the interface to user needs and constrains as it happens in solutions for situational induced impairment and disabilities (SIID). This can be made by inference the context in which the user it is by using different sensors available on mobile platform and different sources of information such as user profile, agenda and usage history. In this paper we propose a review of the main challenges of the dynamic adaptation of interfaces, with a case of application in a business environment. (c) 2015 The Authors. Published by Elsevier B.V.

Abstract
In this paper the orchestration of wearable sensors with human computation is explored to provide map metadata for blind navigation. Technological navigation aids for blind must provide accurate information about the environment and select the best path to reach a chosen destination. Urban barriers represent dangers for the blind users. The dynamism of smart cities promotes a constant change of these dangers and therefore a potentially “dangerous territory” for these users. Previous work demonstrated that redundant solutions in smart environments complemented by human computation could provide a reliable and trustful data source for a new generation of blind navigation systems. We propose and discuss a modular architecture, which interacts with environmental sensors to gather information and process the acquired data with advanced algorithms empowered by human computation. The gathered metadata should enable the creation of “happy maps” that are delivered to blind users through a previously developed navigation system. © Springer International Publishing Switzerland 2015.

Abstract
Human beings have developed a number of evolutionary mechanisms that allows the distinction between different objects and the triggering of events based on their perception of reality. Visual impairment has a significant impact on individuals' quality of life, including their ability to work and to develop personal relationships as they often feel cut off people and things around them, due to their impairment. The need for assistive technologies has long been a constant in the daily lives of people with visual impairments, and will remain a constant in future years. Cognitive mapping is of extreme importance for individuals in terms of creating a conceptual model of the surrounding space and objects around them, thereby supporting their interaction with the physical environment. This work describes the use of computer vision techniques, namely feature detectors and descriptors, to detect objects in the scene and help contextualize the user within the surrounding space, enhancing their mobility, navigation and cognitive mapping of a new environment.

Abstract