Educational researchers have been confronted with a multitude of definitions of task
complexity and a lack of consensus on how to measure it. Using a cognitive load theory …

A new Brain-Computer Interface (BCI) technique, which is called a hybrid BCI, has recently
been proposed to address the limitations of conventional single BCI system. Although some …

Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …

Objective The objectives of this meta-analysis are to explore the presently available
empirical findings on the antecedents of trust in robots and use this information to expand …

We study the complexity of rules by paying experimental subjects to implement a series of
algorithms and then eliciting their willingness-to-pay to avoid implementing them again in …

Complexity—defined in terms of the number of components and the nature of the
interdependencies between them—is clearly a relevant feature of all tasks that groups …

Drawing on cognitive-affective system theory, this study proposes that employees' perceived
green human resource management (HRM) influences their'workplace green behaviors …

For over three decades, production firms have extensively espoused lean manufacturing
(LM) approach for constantly enhancing their operations. Of late, due to the fusion of …

Purpose Collaboration between frontline employees (FLEs) and frontline robots (FLRs) is
expected to play a vital role in service delivery in these increasingly disrupted times. Firms …

With the emergent focus on human-centered artificial intelligence (HCAI), research is
required to understand the humanistic aspects of AI design, identify the mechanisms through …