No one will argue against the idea that augmenting human intelligence might just be the fastest way to get value from artificial intelligence (AI). Unfortunately that poses a challenge. Human-centered design is missing from most attempts to augment human intelligence leaving the results less than stellar. Digital Insurance brought this information to our attention in their article, “Trying to augment intelligence with AI fails when data scientists and designers don’t collaborate.”
Despite success in labs, the majority of clinician-facing decision support tools failed when moving to clinical practice. The main cause for the failure was a lack of human-computer interaction (HCI).
HCI is a multidisciplinary field of study focusing on the design of computer technology and, in particular, the interaction between users and computers. While initially concerned with computers, HCI has since expanded to cover almost all forms of information technology design. One important HCI factor is that different users form different conceptions or mental models about their interactions and have different ways of learning and keeping knowledge and skills.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
