53 citations · 111 across the 6 of their papers we have counts for
6 papers
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…
Our Nudges, Our Selves: Tailoring Mobile User Engagement Using Personality
Nima Jamalian, Marios Constantinides, Sagar Joglekar +2
To increase mobile user engagement, current apps employ a variety of behavioral nudges, but these engagement techniques are applied in a one-size-fits-all approach. Yet the very sa…
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…
WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?
Ali Akbar Septiandri, Marios Constantinides, Mohammad Tahaei +1
Studies conducted on Western, Educated, Industrialized, Rich, and Democratic (WEIRD) samples are considered atypical of the world's population and may not accurately represent huma…
Human-Centered Responsible Artificial Intelligence: Current & Future Trends
Mohammad Tahaei, Marios Constantinides, Daniele Quercia +13
In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence. While different research communities may use diffe…
Quantified Canine: Inferring Dog Personality From Wearables
Lakmal Meegahapola, Marios Constantinides, Zoran Radivojevic +3
Being able to assess dog personality can be used to, for example, match shelter dogs with future owners, and personalize dog activities. Such an assessment typically relies on expe…