Abstract

Abstract
This chapter will be focused on contributing to the increase of universal design competencies of future engineers, educators, and designers through the use of mixed reality technologies, closing the gap between theory and field application of principles, towards a more inclusive world and promoting health and wellbeing for all. The experience of a situation where limitations arise in relation to what is taken for granted is an important experience that leads to a personal knowledge of the difficulties. By the use of simulators, especially virtual (VR) and mixed reality (MR) technologies, it is possible to create such experiences. Training based on MR can prepare future and current professionals for up-to-date requirements of the labor market. In addition, it can ensure that the standards such as barrier-free concepts, broader accessibility, adaptive and assistive technology will be familiar to trainees.

Abstract
The emergence of technologies capable of producing real-time data opened new horizons to planning and optimising vehicle routes. Dynamic vehicle routing problems (DVRPs) use real-time information to dynamically calculate the most optimised set of routes. The typical approach is to initially calculate the vehicle routes and dynamically revise them in real-time. This work uses the case study of ASAE, a Portuguese administrative authority specialising in food safety and economic surveillance. The dynamic properties of ASAE's operational environment are studied, and a solution is proposed to review and efficiently modify the precalculated plan. We propose a weighted utility function based on three aspects: the summed utility of the inspections, the similarity between solutions, and the arrival time. A Disruption Generator generates disruptions on the inspection routes: travel and inspection times, vehicle and inspection breakdowns, utility changes, and unexpected or emerging inspections. We compare the performance of four meta-heuristics: Hill-Climbing (HC), Simulated Annealing (SA), Tabu-Search (TS) and Large neighbourhood Search (LNS). The HC algorithm has the fastest convergence, while SA takes longer to solve the test instances. LNS was the method with higher solution quality, while HC provided solutions with lower utility.

Abstract
Nowadays, more organizations adopt agile methodologies to guarantee short and frequent delivery times. A plethora of novel approaches and concepts regarding requirements engineering in this context are emerging. User stories are usually informally described as general explanations of software features, written from end-users perspective, while acceptance criteria are high-level conditions that enable their verification. This paper focuses on the art of writing user stories and acceptance criteria, but also on their relationships with other related concepts, such as quality requirements. In the pursuance of deriving guidelines and linguistic patterns to facilitate the writing of requirements specifications, a systematic literature review was conducted to provide a cohesive and comprehensive analysis of such concepts. Despite considerable research on the subject, no formalized model and systematic approach to assist this writing. We provide a coherent analysis of these concepts and related linguistic patterns supported by a running example of specifications built on top of ITLingo RSL, a publicly available tool to enforce the rigorous writing of specification artefacts. We consider that adopting and using the guidelines and patterns from the present discussion contribute to writing better and more consistent requirements.

Abstract
Despite the wide spread of gamification as a means of influencing behavior, we do not yet fully understand its effectiveness in promoting sustainable behaviors among young people. This question becomes all the more relevant when it comes to influencing their mobility habits, considering the negative impact of motorized transportation on urban livability. As a consequence, the promotion of soft mobility has been on the policy agenda in many countries. In this study, we explore the potential of gamification and the use of rewards as a way to incentivize young citizens to adopt soft mobility over motorized transports. Our goal was to understand how a gamified app with a built-in reward system can influence the promotion of soft mobility among young people in cities, focusing particularly on walking and cycling. To achieve this, we adopted a quantitative research methodology, carrying out a structured survey in three schools enrolled in the Sharing Lisboa project. We used statistical tools based on partial least squares structural equation modeling (PLS-SEM) to analyze the data. We found that an app influences the users' perception of its usefulness, leading to a positive attitude towards its use. Contrary to what was initially assumed, the reward system only influences the perceived usefulness, suggesting that it is important to convince potential users to try the system but that it does not influence their attitude. Moreover, the instrumental attitude, which is related to the benefits and functions of an app, together with the subjective (injunctive/descriptive) norms and perceived behavioral control, have a positive influence on walking/cycling travel intention. Therefore, social pressure, especially from family and friends, is important for building the intention to travel by bicycle/on foot.

Abstract
This article analyzes consumer intentions to purchase cannabis-based skincare cosmetics by considering the role of human values, environmental awareness, and attitudes toward cannabis-based skincare cosmetics and their industrial use. The literature enabled the definition of a set of nine hypotheses, which were tested by a quantitative study with 230 participants from Portugal. Data were collected online in 2021 using snowball sampling. Structural equation modeling and mean difference tests were used for the hypothesis testing. The results suggest that personal values regarding openness to change and conservation indirectly influence the acceptance of cannabis-derived cosmetic products by reinforcing attitudes toward cannabis-based skincare cosmetics, and that environmental awareness influences the intention to purchase cannabis-based skincare cosmetics. This article provides relevant insights for both practitioners and researchers, as it demonstrates that both attitudes toward cannabis-based skincare cosmetics and the attitude toward the use of cannabis by the cosmetic industry predict purchase intentions of cannabis-based skin care cosmetics and therefore, should be considered for the development of the strategy for communicating with consumers. The article also makes some suggestions about the profiles of consumers most willing to buy this type of product, highlighting the role of environmental awareness and human values as strong determinants that influence the purchase intention of cannabis-based skincare cosmetics.