Recently, modeling of decision making and control systems that include heterogeneous
smart sensing devices (machines) as well as human agents as participants is becoming an …

While there has been extensive work on modeling of human decision-making both for
individuals and groups from a cognitive psychology point of view, research on this topic from …

Location Dependent Mobile Crowdsensing (LDMC) often needs to collect data at different
time points in various regions to ensure the coverage of sensing data. An incentive …

In critical environments that require a high accuracy of decisions, utilizing human cognitive
strengths and expertise in addition to machine observations is advantageous to improve …

Human behavior while decision making is quite complex and uncertain. There are
fundamental differences between traditional decision making systems based on sensor data …

In this work, we propose a joint collaboration-compression framework for the random signal
detection problem in a resource constrained wireless sensor network (WSN). Specifically …

This paper establishes a mathematical framework to analyze the behavioral utility-based
distributed detection problem for 𝑀-ary hypothesis testing with conditionally independent …

In this paper, the aim is to model the dependence between a continuous machine
observation and a discrete human decision maker using copula theory for a binary …

Unlike decision making systems made up of physical sensors where the system parameters
are known a priori and can be controlled at will, human behavior in decision making is …

We analyze the asymptotic performance of likelihood ratio based collaborative human-
machine decision making systems. Human agents are assumed to make threshold based …