2022
Autores
Pereira, LS; Coelho, J; Rodrigues, A; Guerreiro, J; Guerreiro, T; Duarte, C;
Publicação
PROCEEDINGS OF THE 24TH INTERNATIONAL ACM SIGACCESS CONFERENCE ON COMPUTERS AND ACCESSIBILITY, ASSETS 2022
Abstract
User-generated content plays a key role in social networking, allowing a more active participation, socialisation, and collaboration among users. In particular, media content has been gaining a lot of ground, allowing users to express themselves through different types of formats such as images, GIFs and videos. The majority of this growing type of online visual content remains inaccessible to a part of the population, in particular for those who have a visual disability, despite available tools to mitigate this source of exclusion. We sought to understand how people are perceiving this type of online content in their networks and how support tools are being used. To do so, we conducted a user study, with 258 social network users through an online questionnaire, followed by interviews with 20 of them-7 blind users and 13 sighted users. Results show how the different approaches being employed by major platforms may not be sufficient to address this issue properly. Our findings reveal that users are not always aware of the possibility and the benefits of adopting accessible practices. From the general perspectives of end-users experiencing accessible practices, concerning barriers encountered, and motivational factors, we also discuss further approaches to create more user engagement and awareness.
2022
Autores
Costa, GD; Petry, MR; Moreira, AP;
Publicação
SENSORS
Abstract
With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human-robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool to support the human operator to understand and interact with robots, Augmented Reality (AR) has been employed in numerous human-robot collaborative and cooperative industrial applications. Therefore, this systematic literature review critically appraises 32 papers' published between 2016 and 2021 to identify the main employed AR technologies, outline the current state of the art of augmented reality for human-robot collaboration and cooperation, and point out future developments for this research field. Results suggest that this is still an expanding research field, especially with the advent of recent advancements regarding head-mounted displays (HMDs). Moreover, projector-based and HMDs developed approaches are showing promising positive influences over operator-related aspects such as performance, task awareness, and safety feeling, even though HMDs need further maturation in ergonomic aspects. Further research should focus on large-scale assessment of the proposed solutions in industrial environments, involving the solution's target audience, and on establishing standards and guidelines for developing AR assistance systems.
2022
Autores
Ferreira, P; Malheiro, B; Silva, M; Borges Guedes, P; Justo, J; Ribeiro, C; Duarte, A;
Publicação
EDULEARN Proceedings - EDULEARN22 Proceedings
Abstract
2022
Autores
Vilas-Boas, MdC; Rocha, AP; Cardoso, MN; Fernandes, JM; Coelho, T; Cunha, JPS;
Publicação
Frontiers in Neurology
Abstract
2022
Autores
de Rezende, RLY; Coelho, JP;
Publicação
OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2022
Abstract
This paper deals with the modelling and control of an oven for reflowing electronic surface-mounted devices. The modelling is done taking into account that the system has a second-order dynamic behaviour whose parameters were obtained through a genetic algorithm. It is also shown that this system exhibits a high pure time-delay which makes the design of the control system very difficult. In particular, the performance of a PI controller is evaluated with respect to tracking two different types of reference signals. It is observed that the performance of such a controller is severely affected by the huge inertia of the system. In order to mitigate this effect, tests were performed with a different architecture known as the Smith predictor. It is concluded that, although with differences, neither the PI controller nor the Smith allows the tracking of the typical reference in a reflow process.
2022
Autores
Dias, J; Carvalho, D; Rocha, T; Barroso, J;
Publicação
Procedia Computer Science
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.
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