Litcius/Paper detail

Understanding Gesture Input Articulation with Upper-Body Wearables for Users with Upper-Body Motor Impairments

Radu-Daniel Vatavu, Ovidiu-Ciprian Ungurean

2022CHI Conference on Human Factors in Computing Systems27 citationsDOI

Abstract

We examine touchscreen stroke-gestures and mid-air motion-gestures articulated by users with upper-body motor impairments with devices worn on the wrist, finger, and head. We analyze users' gesture input performance in terms of production time, articulation consistency, and kinematic measures, and contrast the performance of users with upper-body motor impairments with that of a control group of users without impairments. Our results, from two datasets of 7,290 stroke-gestures and 3,809 motion-gestures collected from 28 participants, reveal that users with upper-body motor impairments take twice as much time to produce stroke-gestures on wearable touchscreens compared to users without impairments, but articulate motion-gestures equally fast and with similar acceleration. We interpret our findings in the context of ability-based design and propose ten implications for accessible gesture input with upper-body wearables for users with upper-body motor impairments.

Topics & Concepts

GestureWearable computerKinematicsComputer scienceArticulation (sociology)Motion (physics)Context (archaeology)Physical medicine and rehabilitationHuman–computer interactionComputer visionMedicineLawBiologyPaleontologyClassical mechanicsPolitical scienceEmbedded systemPoliticsPhysicsTactile and Sensory InteractionsInteractive and Immersive DisplaysGaze Tracking and Assistive Technology