2025
Autores
Gomes T.; Schneider D.; Correia A.;
Publicação
CEUR Workshop Proceedings
Abstract
This paper discusses the potential effects of Attention-Capture Damaging Patterns (ACDPs) in designing socially and culturally sensitive interfaces based on their mechanisms and psychological impacts on users. Building on the concept of “dark patterns” and examining how they contribute to social polarization, this study explores the intersection between digital interface design, digital wellbeing, and polarization. The paper analyzes several examples of ACDPs present in popular social media apps and platforms such as Instagram, TikTok, WhatsApp, and Facebook, proposing a new taxonomic approach based on three main categories. In addition, a set of alternative design strategies that promote healthier interactions on digital platforms are discussed to mitigate the negative effects of these patterns and promote a more balanced digital environment.
2025
Autores
Teixeira, F; Costa, J; Amorim, P; Guimarães, N; Ferreira Santos, D;
Publicação
Studies in health technology and informatics
Abstract
This work introduces a web application for extracting, processing, and visualizing data from sleep studies reports. Using Optical Character Recognition (OCR) and Natural Language Processing (NLP), the pipeline extracts over 75 key data points from four types of sleep reports. The web application offers an intuitive interface to view individual reports' details and aggregate data from multiple reports. The pipeline demonstrated 100% accuracy in extracting targeted information from a test set of 40 reports, even in cases with missing data or formatting inconsistencies. The developed tool streamlines the analysis of OSA reports, reducing the need for technical expertise and enabling healthcare providers and researchers to utilize sleep study data efficiently. Future work aims to expand the dataset for more complex analyses and imputation techniques.
2025
Autores
Gonçalves, A; Pereira, T; Lopes, D; Cunha, F; Lopes, F; Coutinho, F; Barreiros, J; Durães, J; Santos, P; Simões, F; Ferreira, P; Freitas, DC; Trovão, F; Santos, V; Ferreira, P; Ferreira, M;
Publicação
Automation
Abstract
This paper presents a method for position correction in collaborative robots, applied to a case study in an industrial environment. The case study is aligned with the GreenAuto project and aims to optimize industrial processes through the integration of various hardware elements. The case study focuses on tightening a specific number of nuts onto bolts located on a partition plate, referred to as “Cloison”, which is mounted on commercial vans produced by Stellantis, to secure the plate. The main challenge lies in deviations that may occur in the plate during its assembly process, leading to uncertainties in its fastening to the vehicles. To address this and optimize the process, a collaborative robot was integrated with a 3D vision system and a screwdriving system. By using the 3D vision system, it is possible to determine the bolts’ positions and adjust them within the robot’s frame of reference, enabling the screwdriving system to tighten the nuts accurately. Thus, the proposed method aims to integrate these different systems to tighten the nuts effectively, regardless of the deviations that may arise in the plate during assembly. © 2025 by the authors.
2025
Autores
Mohseni H.; Silvennoinen J.; Correia A.;
Publicação
CEUR Workshop Proceedings
Abstract
The active involvement of marginalized and vulnerable groups such as migrants and newly arrived refugees in the development of local communities has been part of many agendas across the EU and around the world. Despite the lessons gleaned from more than three decades of IUI research, there is still a shortage of systematic understanding and concrete guidance on how to design more socially inclusive and culturally sensitive interfaces targeted to these populations. In this paper, we argue that community-based citizen science approaches hold the potential to foster people-place bonds and inform the design of inclusive interactions since these initiatives are typically open to a wide audience regardless of race, ethnicity, gender, and education. From portable environmental monitoring devices to open databases providing place-related data about species observations and environmental threats, citizen scientists have a socially transformative and place-development potential that is often overlooked from an interaction design perspective. This research investigates this gap by examining digital interactions in citizen science through a systematic literature review addressing interaction possibilities for digitally enhanced place-belongingness. The results indicate three interaction themes within citizen science literature contributing to digitally enhanced sense of place-belonginess: place awareness and involvement, experience sharing, and collaboration encouragement. In addition, we found that the inclusivity goals in citizen science initiatives typically vary from urban and rural development to cultural purposes and environmental engagement and conservation. The interaction themes, along with the negative impacts of digital technologies, are discussed regarding their potential to inform technology design for place-belongingness in HCI.
2025
Autores
Massaranduba, ABR; Coelho, BFO; Santos Souza, CAd; Viana, GG; Brys, I; Ramos, RP;
Publicação
Current Psychology
Abstract
2025
Autores
Filipa Dias; Ricardo Ribeiro; Filipe Gonçalves; Alexandre Lima; Encarnación Roda-Robles; Tânia Martins; Diana Guimarães;
Publicação
The Canadian Journal of Mineralogy and Petrology
Abstract
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