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Publicações

Publicações por HumanISE

2025

Charting a course at the human–AI frontier: a paradigm matrix informed by social sciences and humanities

Autores
Ramon Chaves; Carlos Eduardo Barbosa; Gustavo Araujo de Oliveira; Alan Lyra; Matheus Argôlo; Herbert Salazar; Yuri Lima; Daniel Schneider; António Correia; Jano Moreira de Souza;

Publicação
AI & SOCIETY

Abstract

2025

Unveiling the Expanding Landscape of Attention-Capture Damaging Patterns

Autores
Tales Gomes; António Correia; Jano de Souza; Daniel Schneider;

Publicação
Proceedings of the 27th International Conference on Enterprise Information Systems

Abstract

2025

Attention-Capture Damaging Patterns in UI Design: In Search of a Socio-Technical Mitigation Strategy

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

Inclusive Interactions for Place-Belongingness: Lessons from Citizen Science

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

AI-mediated Collaborative Crowdsourcing for Social News Curation: The Case of Acropolis

Autores
Schneider, D; Chaves, R; Pimentel, AP; de Almeida, MA; De Souza, JM; Correia, A;

Publicação
Proceedings of the 2025 ACM International Conference on Interactive Media Experiences

Abstract

2025

Can ChatGPT Suggest Patterns? An Exploratory Study About Answers Given by AI-Assisted Tools to Design Problems

Autores
Maranhao, JJ Jr; Correia, FF; Guerra, EM;

Publicação
AGILE PROCESSES IN SOFTWARE ENGINEERING AND EXTREME PROGRAMMING-WORKSHOPS, XP 2024 WORKSHOPS

Abstract
General-purpose AI-assisted tools, such as ChatGPT, have recently gained much attention from the media and the general public. That raised questions about in which tasks we can apply such a tool. A good code design is essential for agile software development to keep it ready for change. In this context, identifying which design pattern can be appropriate for a given scenario can be considered an advanced skill that requires a high degree of abstraction and a good knowledge of object orientation. This paper aims to perform an exploratory study investigating the effectiveness of an AI-assisted tool in assisting developers in choosing a design pattern to solve design scenarios. To reach this goal, we gathered 56 existing questions used by teachers and public tenders that provide a concrete context and ask which design pattern would be suitable. We submitted these questions to ChatGPT and analyzed the answers. We found that 93% of the questions were answered correctly with a good level of detail, demonstrating the potential of such a tool as a valuable resource to help developers to apply design patterns and make design decisions.

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