24 citations · 60 across the 13 of their papers we have counts for
13 papers
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
Eva Paraschou, Ioannis Arapakis, Sofia Yfantidou +2
Artificial Intelligence (AI) is rapidly embedded in critical decision-making systems, however their foundational ``black-box'' models require eXplainable AI (XAI) solutions to enha…
Ties of Trust: a bowtie model to uncover trustor-trustee relationships in LLMs
Eva Paraschou, Maria Michali, Sofia Yfantidou +3
The rapid and unprecedented dominance of Artificial Intelligence (AI), particularly through Large Language Models (LLMs), has raised critical trust challenges in high-stakes domain…
AgoraSpeech: A multi-annotated comprehensive dataset of political discourse through the lens of humans and AI
Pavlos Sermpezis, Stelios Karamanidis, Eva Paraschou +7
Political discourse datasets are important for gaining political insights, analyzing communication strategies or social science phenomena. Although numerous political discourse cor…
Using Self-supervised Learning Can Improve Model Fairness
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides +3
Self-supervised learning (SSL) has become the de facto training paradigm of large models, where pre-training is followed by supervised fine-tuning using domain-specific data and la…
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides +3
Self-supervised learning (SSL) has become the de facto training paradigm of large models where pre-training is followed by supervised fine-tuning using domain-specific data and lab…
Negotiation Strategies in Ubiquitous Human-Computer Interaction: A Novel Storyboards Scale & Field Study
Sofia Yfantidou, Georgia Yfantidou, Panagiota Balaska +1
In today's connected society, self-tracking technologies (STTs), such as wearables and mobile fitness apps, empower humans to improve their health and well-being through ubiquitous…
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing
Sofia Yfantidou, Dimitris Spathis, Marios Constantinides +2
How can we ensure that Ubiquitous Computing (UbiComp) research outcomes are both ethical and fair? While fairness in machine learning (ML) has gained traction in recent years, fair…
The State of Algorithmic Fairness in Mobile Human-Computer Interaction
Sofia Yfantidou, Marios Constantinides, Dimitris Spathis +3
This paper explores the intersection of Artificial Intelligence and Machine Learning (AI/ML) fairness and mobile human-computer interaction (MobileHCI). Through a comprehensive ana…
Uncovering Bias in Personal Informatics
Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali +1
Personal informatics (PI) systems, powered by smartphones and wearables, enable people to lead healthier lifestyles by providing meaningful and actionable insights that break down…
(Un)fair devices: Moving beyond AI accuracy in personal sensing
Sofia Yfantidou, Marios Constantinides, Dimitris Spathis +3
Personal devices are omnipresent in our lives, seamlessly monitoring our activities, from smart rings tracking sleep patterns to smartwatches keeping an eye on missed heartbeats. T…
UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions
Asterios Bampakis, Sofia Yfantidou, Athena Vakali
It is indisputable that physical activity is vital for an individual's health and wellness. However, a global prevalence of physical inactivity has induced significant personal and…
12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock and Thinking Ahead
Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali
Despite the indisputable personal and societal benefits of regular physical activity, a large portion of the population does not follow the recommended guidelines, harming their he…
14 Years of Self-Tracking Technology for mHealth -- Literature Review: Lessons Learnt and the PAST SELF Framework
Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali
In today's connected society, many people rely on mHealth and self-tracking (ST) technology to help them adopt healthier habits with a focus on breaking their sedentary lifestyle a…