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Litter segmentation with LOTS dataset
- Paola Barra,
- Giosuè Orefice,
- Alessia Auriemma Citarella,
- Modesto Fernando Castrillón-Santana,
- Angelo Ciaramella
The marine ecosystem faces a significant threat due to the release of human waste into the sea. One of the most challenging issues is identifying and removing small particles that settle on the sand. These particles can be ingested by local fauna or ...
Using EEG data as Dynamic Difficulty Adjustment in a serious game about the plastic pollution in the oceans
In this work, it is explored whether real-time EEG (Electroencephalography) can adjust the difficulty in a serious game focused on engagement, attention, and learning about plastic pollution in our oceans. Using EEG to balance the game around the ...
On Using Twitter to Understand the Stablecoin Terra Collapse
Stablecoins have emerged as a solution to the legal status and volatile exchange rate issues surrounding cryptocurrencies like Bitcoin. Terra is a blockchain protocol that enables the creation of stablecoins pegged to fiat currencies, including UST and ...
A low-cost TinyML model for Mosquito Detection in Resource-Constrained Environments
Yearly, more than 200 million malaria cases are recorded worldwide. Most of these cases are witnessed in less developed countries as the environments are not well-maintained, which forms breeding places for mosquitoes. Female mosquito-anopheles is ...
Leave no Place Behind: Improved Geolocation in Humanitarian Documents
Geographical location is a crucial element of humanitarian response, outlining vulnerable populations, ongoing events, and available resources. Latest developments in Natural Language Processing may help in extracting vital information from the deluge ...
Designing Stories to Inspire Preschoolers’ Creative, Collaborative Roleplay
- Flannery Hope Currin,
- Kyle Diederich,
- Luiza Superti Pantoja,
- Hannah Cargo,
- Noelle Franzone,
- Josephine Geiger-Lee,
- Juan Pablo Hourcade
Young children's interactions with media influence their social play, which impacts their development. Seven years ago, at the start of a project developing a system to support preschool children's creative, collaborative roleplay, we identified a need ...
Beyond Motivation and Engagement: Students’ Voices on the Use of Game-based Learning in a Bachelor Computer Science Online Degree
Video games have many potential uses beyond pure entertainment, including their use in educational contexts. Yet, it remains really challenging to put together guidelines to design effective game-like interventions in educational contexts. This study ...
Did that AI just Charge me a Fine? Citizens’ Perceptions of AI-based Discretion in Public Administration
Automation and Artificial Intelligence (AI) are continuously advancing decision-making in public administrations. Research focuses on investigating benefits and challenges of AI agents that make decisions without human-intervention, namely AI-systems ...
Why We Should Supplement Ethics with Citizenship: Why We Should Supplement Ethics with Citizenship
Over the past three decades it has become increasingly common to include social and professional issue topics within undergraduate computing programs. A decade ago, a consensus had emerged around best practices in teaching these topics: namely by ...
Supporting Smart Farming through Bandwidth Adaptation in Satellite Communications
- Armir Bujari,
- Cristian Coreggioli,
- Mirko Franco,
- Salah Eddine Merzougui,
- Claudio Enrico Palazzi,
- Lasse B. Schmidt
Access to the Internet is a crucial enabler for many of the Sustainable Development Goals (SDGs) of the United Nations. Unfortunately, a significant part of the world’s population is left behind due to the lack of access to a reliable and affordable ...
Women and Gender Disparities in Computer Science: A Case Study at the University of Padua
This research fits into the scenario of gender disparity in STEM disciplines and aims to identify problems, stereotypes, and gender biases, as well as to highlight solutions to promote gender equality within the Bachelor’s degree course in Computer ...
Competitive and Asynchronous Decentralized Federated Learning with Blockchain Smart Contracts
In recent years, machine learning models have evolved, and the training of these models requires large amounts of data. However, the training data often contains sensitive information, raising privacy concerns. Federated Learning has been proposed as a ...
Nudging Users or Redesigning Interfaces? Evaluating Novel Strategies for Digital Wellbeing Through inControl
As web designers may deliberately adopt design patterns to hook users’ attention, researchers and practitioners have innovated several tools for supporting users’ digital self-control, hoping to help users self-regulate technology use – especially ...
A Joint Evaluation Methodology for Service Quality and User Privacy in Location Based Systems
Pervasive and ubiquitous applications provide novel and exciting services leveraging on a multitude of data obtained from people’s devices, adapting the computation to the context in which the user currently is. This improves the service quality of ...
Play to Learn: from Serious Games to just Games
Games have been used for a few decades in research, formal education, and training of children and adults, and digital games are no strangers to educational uses. After all, everyone likes to play games, so it should stand to reason that educational ...
Leafy: Enhancing Home Energy Efficiency through Gamified Experience with a Conversational Smart Mirror
In the next few years, people will be called upon to try to slow climate change and achieve carbon neutrality collectively. The use of persuasive digital tools and engaging mechanisms can play an important role in matching such objectives. In our ...
Designing Human-Robot Collaboration for the Preparation of Personalized Medicines
Advancements in robotics and automation technologies have the potential to enable breakthrough innovations in a variety of industries, and the pharmaceutical sector is no exception. The preparation of galenic formulations, involving the compounding and ...
Towards User Behavior Forecasting in Mobile Crowdsensing Applications
Mobile crowdsensing has rapidly become an interesting and useful methodology to collect data in modern smart cities, thanks to the pervasiveness of users mobile devices. Although there are many different proposals, opportunistic and participatory ...
Changing Your Future?: An Experimental Study on the Persuasive Effects of an Interactive Climate Change Documentary
Interactive digital narratives (IDNs) have the potential to adequately and effectively represent the highly relevant and complex issue of climate change. The interactivity in interactive digital narratives (IDNs) can increase narrative engagement, as ...
Designing for User's Digital Wellbeing: Co-creating Nudges with Designers: Designing for user's digital wellbeingCo-creating nudges with designers
Digital wellbeing (DWB) became a prominent topic since the use of technology evoked a concern over its impact on users’ mental health and wellbeing. Hence, raising designers' interest and recall of DWB is necessary. As nudges approved their ...
Eff-AQI: An Efficient CNN-Based Model for Air Pollution Estimation: A Study Case in India
One of the most dangerous problems facing humanity is air pollution. According to GBD estimates, poor air quality and indoor air pollution cause nearly 2 million premature deaths in India. Air quality monitoring stations are expensive to install. These ...
Preventing Muscle Imbalance: A Cost-Effective Solution for Home Exercise
This paper proposes a low-cost system to help users perform exercises at home, monitoring muscle imbalances. Muscle imbalance occurs when there is a strength disparity between muscles on one side of the body or one side of a joint.
The proposed device ...
Tackling Labour Exploitation in Taiwan Distant Water Fishing Industry through Automated Exploitation Detection System
Labour exploitation in the Taiwan Distant Water Fishing (DWF) industry has been a persistent issue for many years. Fishermen working on these vessels are often subjected to long working hours, low salaries, and poor living conditions. These conditions ...
Coordinated traffic lights and auction intersection management in a mixed scenario
IoT (Internet-of-Things) powered devices can be exploited to connect vehicles to a smart city infrastructure and thus allow vehicles to share their intentions while retrieving contextual information about diverse aspects of urban viability. Such a ...
Fall Detection from UWB Radars: A Comparative Analysis of Deep Learning and Classical Machine Learning Techniques
Fall detection poses significant challenges for researchers due to the potential for severe injuries, such as femoral neck fractures, brain hemorrhages, and skin burns, which can cause considerable pain. Furthermore, undetected falls can lead to ...
Data Decentralisation of LLM-Based Chatbot Systems in Chronic Disease Self-Management
Chronic patient self-management is crucial for maintaining physical and psychological health, reducing pressure on healthcare systems, and promoting patient empowerment. Digital technologies, particularly chatbots, have emerged as powerful tools for ...
From Ukraine to the World: Using LinkedIn Data to Monitor Professional Migration from Ukraine
Highly skilled professionals’ forced migration from Ukraine was triggered by the conflict in Ukraine in 2014 and amplified by the Russian invasion in 2022. Here, we utilize LinkedIn estimates and official refugee data from the World Bank and the United ...
Universal Basic Income in a Blockchain-Based Community Currency
Recent advancements of blockchain technologies ensure security and trustability of Community Currency Systems (CCSs), enabling their increasingly widespread adoption. These systems aim at empowering the local economies by virtue of a medium of exchange ...
Validating Video Games as Complex Artifacts
The narrative sense-making of video games relies on different sources of information. Among them is the multimodal system through which games are made sensorially perceivable, the sensorimotor experiences they afford and require, and the mnemonic ...
A new Token Management System for Local Communities
This paper introduces Locale, a novel system that enables cost-effective fidelization processes in local communities while offering enhanced security guarantees compared to traditional methods. By leveraging the unique properties of blockchain ...