Researchers at Penn State University say that people who are confident about machine performance and their own abilities to engage with technology are likely to transfer these attitudes to use of digital healthcare services and providers.
The research team presented results of their study ‘Digital Doctors and Robot Receptionists: User Attributes that Predict Acceptance of Automation in Healthcare Facilities’ at the ACM Conference on Human Factors in Computing Systems in Glasgow, Scotland.
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“Our research advances knowledge by identifying two specific individual
differences that seem to play a role in increasing adoption of automation in
healthcare facilities—belief in machine heuristic (or positive stereotypes
about machines being more accurate, precise, objective, etc. than humans) and
degree of power usage (expertise, experience, efficacy and motivation to use
technology),” researcher S.
Shyam Sundar told HealthManagement.org.
The impact of design of digital healthcare applications was also a
keystone of the research.
“The key to implementing automation in healthcare facilities may
lie in designing the interface in such a way that it appeals to expert users
who have a high belief in machine abilities,” said the research team, which
also included Andrew Gambino and Jinyoung Kim. “Instead of expending design
resources on anthropomorphising healthcare bots, they can be directed towards
features such as chat functionality, and advanced features. As suggested by our
results, increasing the number of power users and the general belief that
machines are trustworthy may increase the adoption of futuristic, automated
Healthcare digitalisation is already well underway and gaining momentum as AI continues to impact both clinical and managerial solutions to the challenges such as a shrinking workforce and ageing population.
But opportunities to engage with digital health be it via mHealth or with a hospital reception interface doesn’t automatically lead to patient engagement.
Research participants, recruited from online workforce, Amazon Mechanical Turk, showed that the higher the belief in the machine heuristic, the more enthusiastic the attitude towards HIT application and future usage.
“The upshot of our
research is that designers of automation in this domain should focus on increasing user trust in machines performing healthcare and increasing users’
technological efficacy rather than focusing on creating cute, anthropomorphic machines
that will wow consumers,” Sundar explained.
Source: HealthManagement.org, Penn State News
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