Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy
TLDR
The analysis and design of cyberphysical human systems (CPHSs) would benefit from an understanding of how humans behave, but it is unclear how to formulate appropriate models for human decision makers, especially when operating in closed-loop systems.Abstract:
This century brought interesting challenges and opportunities that derive from the way digital technology is shaping the lives of individuals and society as a whole. A key feature of many engineered systems is that they interact with humans. Rather than solely affecting humans, people often make decisions that affect the engineered system. As an example, when driving cars, people often decide to take a route that differs from that suggested by the navigation system. This information is fed back to the service provider and henceforth used when making route suggestions to other users. The analysis and design of such cyberphysical human systems (CPHSs) would benefit from an understanding of how humans behave. However, given their immense complexity, it is unclear how to formulate appropriate models for human decision makers, especially when operating in closed-loop systems (see "Summary" for an overview of this article).read more
Citations
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Journal ArticleDOI
Tracking and Handling Behavioral Biases in Active Learning frameworks
TL;DR: In this article , the authors present a systematic framework for modeling, tracking and adaptation of behavioral biases in a collaborative decision environment within an active learning context, which is validated using experiments conducted on a real-world pancreatic cancer dataset.
Predictive Control of a Human–in–the–Loop Network System Considering Operator Comfort Requirements
TL;DR: In this paper , a model-predictive control (MPC)-based approach is proposed to solve a human-in-the-loop control problem for a network system lacking sensors and actuators to allow for a fully automatic operation.
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