Physician User Study on Explainable AI

Study Title:

A usability study to identify physicians’ needs and requirements of explainable artificial intelligence

Study Description:

Although AI (artificial intelligence) especially deep learning technologies have the potential to augment clinicians’ abilities, its implementation in patient-care settings has not yet become widespread. One major impediment is the black-box nature of AI.

Thus, it is important to design explainable AI that is optimized not only for its expected clinical task performance, but also for its interpretability, i.e., the ability to explain its reasoning in understandable terms to its users.

The study is to understand the needs and requirements of AI from doctors, so that to inform the development of AI systems for clinical decision-support.

SFU Ethics number: 2019s0108

This is one set of prototyping cards I designed and used in my user study with neurosurgeons. I also designed other similar cards based on the EUCA framework for other medical specialities.

Related Publication

What Explanations Do Doctors Require From Artificial Intelligence?

Jin, Weina, and Hamarneh, Ghassan

Manuscript in preparation 2022

Bib Blog

@article{jin2022doctorUserStudy,
  author = {Jin, Weina and Hamarneh, Ghassan},
  journal = {Manuscript in preparation},
  title = {What Explanations Do Doctors Require From Artificial Intelligence?},
  year = {2022},
  project = {jin2022doctorUserStudy},
}