Do patients trust computers

By Marianne Promberger, J. Baron. 2006

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Manipulating and Measuring Model Interpretability (2018, background): “ers that a model is trustworthy, reliable, justiﬁable, ethical, or fair in practice. Historically, studies have shown that people are resistant to allowing decisions to be made entirely by algorithms [6, 18, 20, 60], though they can be supportive of using algorithmic decision aids provided they are ”
Task-Dependent Algorithm Aversion (2019, background): “People also trust medical recommendations less when they come from an algorithm than from a human doctor (Promberger and Baron 2006; Longoni, Bonezzi, Morewedge 2019).”
Algorithm aversion: people erroneously avoid algorithms after seeing them err. (2015, background): “…2011; Eastwood, Snook, & Luther, 2012), more strongly weigh human input than algorithmic input (Önkal, Goodwin, Thomson, Gönül, & Pollock, 2009; Promberger & Baron, 2006), and more harshly judge professionals who seek out advice from an algorithm rather than from a human (Shaffer, Probst,…”
When do people rely on algorithms (2016, methodology): “In another experiment, participants who imagined they were medical patients chose a doctor’s diagnosis over an algorithm’s diagnosis (Promberger & Baron, 2006).”
Resistance to Medical Artificial Intelligence (2019, unknown): “Promberger and Baron (2006) found that people are more likely to follow the recommendation of a physician than the recommendation of a computer.”
Organizational Behavior and Human Decision Processes (2019, unknown): “Participants who imagined themselves as medical patients more frequently followed a subjectively worded recommendation for an operation from a doctor than from a computer (Promberger & Baron, 2006).”