Survey of computational intelligence as basis to big flood management: Challenges, research directions and future work
F Fotovatikhah, M Herrera… - Engineering …, 2018 - Taylor & Francis
Flooding produces debris and waste including liquids, dead animal bodies and hazardous
materials such as hospital waste. Debris causes serious threats to people's health and can …
materials such as hospital waste. Debris causes serious threats to people's health and can …
Current best practice for presenting probabilities in patient decision aids: fundamental principles
Background Shared decision making requires evidence to be conveyed to the patient in a
way they can easily understand and compare. Patient decision aids facilitate this process …
way they can easily understand and compare. Patient decision aids facilitate this process …
Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making
In AI-assisted decision-making, it is critical for human decision-makers to know when to trust
AI and when to trust themselves. However, prior studies calibrated human trust only based …
AI and when to trust themselves. However, prior studies calibrated human trust only based …
On human predictions with explanations and predictions of machine learning models: A case study on deception detection
Humans are the final decision makers in critical tasks that involve ethical and legal
concerns, ranging from recidivism prediction, to medical diagnosis, to fighting against fake …
concerns, ranging from recidivism prediction, to medical diagnosis, to fighting against fake …
When confidence meets accuracy: Exploring the effects of multiple performance indicators on trust in machine learning models
A Rechkemmer, M Yin - Proceedings of the 2022 chi conference on …, 2022 - dl.acm.org
Previous research shows that laypeople's trust in a machine learning model can be affected
by both performance measurements of the model on the aggregate level and performance …
by both performance measurements of the model on the aggregate level and performance …
Vaccine hesitancy: evidence from an adverse events following immunization database, and the role of cognitive biases
Background Vaccine hesitancy has been a growing challenge for public health in recent
decades. Among factors contributing to vaccine hesitancy, concerns regarding vaccine …
decades. Among factors contributing to vaccine hesitancy, concerns regarding vaccine …
[图书][B] The rationality quotient: Toward a test of rational thinking
How to assess critical aspects of cognitive functioning that are not measured by IQ tests:
rational thinking skills. Why are we surprised when smart people act foolishly? Smart people …
rational thinking skills. Why are we surprised when smart people act foolishly? Smart people …
Designing visual aids that promote risk literacy: A systematic review of health research and evidence-based design heuristics
R Garcia-Retamero, ET Cokely - Human factors, 2017 - journals.sagepub.com
Background Effective risk communication is essential for informed decision making.
Unfortunately, many people struggle to understand typical risk communications because …
Unfortunately, many people struggle to understand typical risk communications because …
The Cognitive Reflection Test as a predictor of performance on heuristics-and-biases tasks
Abstract The Cognitive Reflection Test (CRT; Frederick, 2005) is designed to measure the
tendency to override a prepotent response alternative that is incorrect and to engage in …
tendency to override a prepotent response alternative that is incorrect and to engage in …
Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers
LJ Trevena, BJ Zikmund-Fisher, A Edwards… - BMC medical informatics …, 2013 - Springer
Background Making evidence-based decisions often requires comparison of two or more
options. Research-based evidence may exist which quantifies how likely the outcomes are …
options. Research-based evidence may exist which quantifies how likely the outcomes are …