4 citations · 5 across the 16 of their papers we have counts for
3 papers · 1 filter
Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & China
Joseph Cameron, Jiaee Cheong, Micol Spitale +1
Social agents and robots are increasingly being used in wellbeing settings. However, a key challenge is that these agents and robots typically rely on machine learning (ML) algorit…
Small but Fair! Fairness for Multimodal Human-Human and Robot-Human Mental Wellbeing Coaching
Jiaee Cheong, Micol Spitale, Hatice Gunes
In recent years, the affective computing (AC) and human-robot interaction (HRI) research communities have put fairness at the centre of their research agenda. However, none of the…
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
Micol Spitale, Jiaee Cheong, Hatice Gunes
Recent studies show bias in many machine learning models for depression detection, but bias in LLMs for this task remains unexplored. This work presents the first attempt to invest…