Evaluating initial usability of a hand augmentation device across a large and diverse sample.

Journal: Science robotics
PMID:

Abstract

The advancement of motor augmentation and the broader domain of human-machine interaction rely on a seamless integration with users' physical and cognitive capabilities. These considerations may markedly fluctuate among individuals on the basis of their age, form, and abilities. There is a need to develop a standard for considering these diversity needs and preferences to guide technological development, and large-scale testing can provide us with evidence for such considerations. Public engagement events provide an important opportunity to build a bidirectional discourse with potential users for the codevelopment of inclusive and accessible technologies. We exhibited the Third Thumb, a hand augmentation device, at a public engagement event and tested participants from the general public, who are often not involved in such early technological development of wearable robotic technology. We focused on wearability (fit and control), ability to successfully operate the device, and ability levels across diversity factors relevant for physical technologies (gender, handedness, and age). Our inclusive design was successful in 99.3% of our diverse sample of 596 individuals tested (age range from 3 to 96 years). Ninety-eight percent of participants were further able to successfully manipulate objects using the extra thumb during the first minute of use, with no significant influences of gender, handedness, or affinity for hobbies involving the hands. Performance was generally poorer among younger children (aged ≤11 years). Although older and younger adults performed the task comparably, we identified age costs with the older adults. Our findings offer tangible demonstration of the initial usability of the Third Thumb for a broad demographic.

Authors

  • Dani Clode
    MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
  • Lucy Dowdall
    MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
  • Edmund da Silva
    MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
  • Klara Selén
    MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
  • Dorothy Cowie
    Department of Psychology, Durham University, Durham, UK.
  • Giulia Dominijanni
    Neuro-X Institute, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
  • Tamar R Makin
    Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AZ, UK. t.makin@ucl.ac.uk.