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Publications

Publications by António Guilherme Correia

2022

Digital Nomads during the COVID-19 Pandemic: Evidence from Narratives on Reddit discussions

Authors
De Almeida M.A.; Correia A.; De Souza J.M.; Schneider D.;

Publication
2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022

Abstract
In this paper, we report on new findings about the results of an empirical study which aims to investigate how the COVID-19 pandemic has been shaping nomadic work practices and also challenging the lifestyles of digital nomads (DN). To do this, we collected textual data from posts in a Reddit community. We argue that, in order to understand how to design technical solutions for the so-called 'new normal' working conditions, one way to approach this is to understand how digital nomads are being impacted in their work practices and routines, and also how they are seeing the future of their technology-mediated work-life space. Finally, we show how evidence collected from DNs about their experiences and difficulties perceived during the pandemic period can inform CSCW researchers worldwide about future design-oriented strands.

2022

The Role of Wannabes in the Digital Nomad Ecosystem in Times of Pandemic

Authors
Antonio De Almeida, M; Moreira De Souza, J; Correia, A; Schneider, D;

Publication
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Abstract
The purpose of this paper is to reveal a set of new results obtained from an ongoing investigation focused on the way that the particular characteristics which are inherent to 'wannabe' digital nomads' activities contribute to the sustainability of the whole digital nomad ecosystem. In line with the premise of this research, we assume the importance of understanding the impacts that are being felt in the personal knowledge management ecology practices and routines of digital nomads as experienced by a specific online population (i.e., Reddit user base), together with a deep and wide examination of their preferences and expectations regarding the technology-mediated work-life issues that exert a direct influence on the digital nomad community. To this end, we gathered and further processed text posts and comments from users in the '/r/digitalnomad' subreddit. From a sociotechnical standpoint, the empirical data extracted from this sample population about the wannabe/how to be digital nomad symbiotic ecosystem can provide insightful information for researchers worldwide about future design-level interventions. © 2022 IEEE.

2022

Collaboration in relation to Human-AI Systems: Status, Trends, and Impact

Authors
Correia, A; Lindley, S;

Publication
Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

Abstract
In this paper we present findings from a bibliometric evaluation of scientific publications on human-AI systems, indexed in the Dimensions database over the past five years (2018 to 2022). The study maps the research landscape in this burgeoning area, as it relates to the topic of collaboration. To this end, we assessed publication and citation counts over time, authorship-level indicators, and keyword occurrence frequency. We also examined funding information as an indicator of research priorities, alongside usage-based statistics and alternative metrics such as social media mentions, recommendations, and reads. Our preliminary findings highlight a significant focus on aspects like trust, explainability, transparency, and autonomy in highly complex scenarios through the use of generative models and hybrid interaction techniques. The results also reveal a growth in the number of publications and funding grants, although a certain lack of maturity is observable in terms of citation patterns and coherence of thematic clusters. © 2022 IEEE.

2023

A Model for Cognitive Personalization of Microtask Design

Authors
Paulino, D; Guimaraes, D; Correia, A; Ribeiro, J; Barroso, J; Paredes, H;

Publication
SENSORS

Abstract
The study of data quality in crowdsourcing campaigns is currently a prominent research topic, given the diverse range of participants involved. A potential solution to enhancing data quality processes in crowdsourcing is cognitive personalization, which involves appropriately adapting or assigning tasks based on a crowd worker's cognitive profile. There are two common methods for assessing a crowd worker's cognitive profile: administering online cognitive tests, and inferring behavior from task fingerprinting based on user interaction log events. This article presents the findings of a study that investigated the complementarity of both approaches in a microtask scenario, focusing on personalizing task design. The study involved 134 unique crowd workers recruited from a crowdsourcing marketplace. The main objective was to examine how the administration of cognitive ability tests can be used to allocate crowd workers to microtasks with varying levels of difficulty, including the development of a deep learning model. Another goal was to investigate if task fingerprinting can be used to allocate crowd workers to different microtasks in a personalized manner. The results indicated that both objectives were accomplished, validating the usage of cognitive tests and task fingerprinting as effective mechanisms for microtask personalization, including the development of a deep learning model with 95% accuracy in predicting the accuracy of the microtasks. While we achieved an accuracy of 95%, it is important to note that the small dataset size may have limited the model's performance.

2023

Designing for Hybrid Intelligence: A Taxonomy and Survey of Crowd-Machine Interaction

Authors
Correia, A; Grover, A; Schneider, D; Pimentel, AP; Chaves, R; de Almeida, MA; Fonseca, B;

Publication
APPLIED SCIENCES-BASEL

Abstract
With the widespread availability and pervasiveness of artificial intelligence (AI) in many application areas across the globe, the role of crowdsourcing has seen an upsurge in terms of importance for scaling up data-driven algorithms in rapid cycles through a relatively low-cost distributed workforce or even on a volunteer basis. However, there is a lack of systematic and empirical examination of the interplay among the processes and activities combining crowd-machine hybrid interaction. To uncover the enduring aspects characterizing the human-centered AI design space when involving ensembles of crowds and algorithms and their symbiotic relations and requirements, a Computer-Supported Cooperative Work (CSCW) lens strongly rooted in the taxonomic tradition of conceptual scheme development is taken with the aim of aggregating and characterizing some of the main component entities in the burgeoning domain of hybrid crowd-AI centered systems. The goal of this article is thus to propose a theoretically grounded and empirically validated analytical framework for the study of crowd-machine interaction and its environment. Based on a scoping review and several cross-sectional analyses of research studies comprising hybrid forms of human interaction with AI systems and applications at a crowd scale, the available literature was distilled and incorporated into a unifying framework comprised of taxonomic units distributed across integration dimensions that range from the original time and space axes in which every collaborative activity take place to the main attributes that constitute a hybrid intelligence architecture. The upshot is that when turning to the challenges that are inherent in tasks requiring massive participation, novel properties can be obtained for a set of potential scenarios that go beyond the single experience of a human interacting with the technology to comprise a vast set of massive machine-crowd interactions.

2011

Computer Supported Cooperative Work A Field to Consider

Authors
Correia, A; Fonseca, B; Paredes, H;

Publication
SISTEMAS E TECNOLOGIAS DE INFORMACAO, VOL I

Abstract
In an organizational sphere of great dynamism and mutability, the effectiveness of group work in companies and institutions is assumed as one of the most important success factors to achieve their objectives. The computer has acquired a strategic task in the support of cooperative work processes, raising a fruitful symbiosis between humans and machines with different functions but strongly interconnected. This article examines the holistic nature of Computer Supported Cooperative Work, an interdisciplinary scientific field that has caused many transformations at the social and technological levels, showing a polymorphic, multidimensional character. In this context, it becomes urgent to articulate the myriad of concepts and technological trends that make up the field on a clear attempt to conglomerate a composite of visions of its nuclear evolutionary origins. © 2011 AISTI.

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