Abstract
Electronic fare payment systems have gained much popularity around the world. These systems adopt a convenient and almost instantaneous payment process for public transport while also gathering data regarding onboard transactions in public transport. Much information about public transport passengers can be extracted, such as travel patterns, activities performed, and travel behavior. Despite the continuous growth of studies regarding these systems, there is still a lack of research to understand occasional passengers’ movement, such as tourists. This work presents the state of the art in these areas and presents a proposal to explore AFC data to understand the mobility profiles of tourists. This manuscript represents an advance in the literature and opens doors to the definition of policies to promote less visited places and mobility services adapted to tourists’ needs, resulting in a positive impact on the city’s economy and the overall enjoyment of the city for tourists. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Abstract
Public transport users are increasingly connected in real time through mobile devices to social networks, such as Twitter and Facebook. This allows them both to access and to provide valuable operational and emotional information from and to fellow travellers. Transport network management could benefit from this exchange, and also participate by providing rewards to valuable contributors. This paper introduces a model for such cooperative exchanges of information and proposes a valuation system for the information provided and obtained. Users and automatic systems (sensors) would provide information, such as punctuality, noise levels, and assessments of driver's skills, referenced to particular vehicles, routes and times. Then other users accessing such information would classify it on the level of correctness and usefulness, under a validation scheme operated by the transport network management. Such information could either be openly available or private in some degree within a social network, taking account of security aspects that need to be preserved. In a mature environment, more valuable information could only be made available via subscription or freely available to highly valued contributing users. The use of social networks would provide an easy way of sharing information and also provide a sense of community to the involved travellers. Transport network management benefiting from relevant information exchanges could reward users contributing with valuable data, as an incentive to enhance participation. In this context, the information exchanged would achieve a real transactional value and present a new electronic commerce paradigm. Overall, such exchange could also be seen as a serious game.

Abstract
SchematicMaps are mainly used for depicting transportation networks. They are generated through a schematization process where irrelevant details are eliminated and important details are emphasized. This process, being manually performed by teams of expert designers, is expensive and time consuming. Such manual execution is unsuitable for the production of schematic maps for location-based services or ondemand schematic maps, as near real-time and user-centered properties are needed. This work proposes GeneX, a framework that can support the automated generation of schematic maps. The framework and the new algorithms developed were able to completely eliminate erroneous map point placement, and to decrease by 33% the contention for map point placement, producing schematic maps without human intervention in soft real time.

Abstract
In BSc/MSc engineering programmes at Faculty of Engineering of the University of Porto (FEUP), the need to provide students with teamwork experiences close to a real world environment was identified as an important issue. A new group-formation method that aims to provide an enriching teamwork experience is proposed. Students are asked to answer a questionnaire to evaluate their teamwork profiles and are assigned to groups by an algorithm aiming to achieve maximum diversity within groups and homogeneity among groups. The profile diversity/complementarity within a group is an important factor to promote members' commitment and coordination in order to achieve the proposed goals. The proposed method is compared to a standard self-selection method for three engineering programmes in three academic years. The results show that, with the new method, there are a higher number of medium ranked groups which surpass the expectation and that, contrary to some students' beliefs, the method does not have a negative impact on the overall final marks. © 2009 SEFI.

Abstract
Schematic Maps are mainly used for depicting transportation networks. They are generated through a schematization process where irrelevant details are eliminated and important details are emphasized. This process, being manually performed by teams of expert designers, is expensive and time consuming. Such manual execution is unsuitable for the production of schematic maps for location-based services or on-demand schematic maps, as near real-time and user-centered properties are needed. This work proposes GeneX, a framework that can support the automated generation of schematic maps. The framework and a new algorithms developed were able to completely eliminate erroneous map point placement, and to decrease by 33% the contention for map point placement, producing schematic maps without human intervention in soft real time.

Abstract
In recent years, mass adoption of increasingly powerful mobile devices and ubiquitous communication networks have paved the way to smart environments. Such environments allow for the collection of user and environment data with the final goal to improve users' experience. In this context a number of opportunities and challenges are presented to Human Computer Interaction. This poster explores Quality of Experience, a subjective aspect of interaction, informally defined as the degree to which a system meets users' expectations. Furthermore, a mobile application was developed for the collection of user and environment data and delivery of personalised services in the context of Public Transport. This application will be used in a real-world environment, to further investigate the factors that have an influence on User eXperience, as well as the delivery of relevant services with the potential to enhance users' journeys while in transit.