Beyond Accuracy: Auditing Allocative Harms in Facial-Gesture Recognition for People with Motor Impairments
Siyu Zhang, Yelu Gu, Kirsten Cater, Oussama Metatla · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)
This paper challenges the conventional framing of facial-gesture recognition accuracy as a purely technical property, and reframes it as a sensorimotor alignment problem between user intention and algorithmic interpretation. The authors conducted a mixed-methods empirical study…
facial gesture recognition · motor impairment · algorithmic fairness · allocative harm · accessibility