With the rise of automated and autonomous agents, research examining Trust in Automation
(TiA) has attracted considerable attention over the last few decades. Trust is a rich and …

Electricity demand-side management (DSM) programs are becoming increasingly important
to energy system managers in advanced industrialized countries, especially those with high …

The spread of AI-embedded systems involved in human decision making makes studying
human trust in these systems critical. However, empirically investigating trust is challenging …

Trust in automation, or more recently trust in autonomy, has received extensive research
attention in the past three decades. The majority of prior literature adopted a “snapshot” view …

Trust miscalibration issues, represented by undertrust and overtrust, hinder the interaction
between drivers and self-driving vehicles. A modern challenge for automotive engineers is …

Due to agile developments in the field of robotics and human-robot interaction, prospective
robotic agents are intended to play the role of teammates and partner with humans to …

Online privacy policies should enable users to make informed decisions. Current text
policies, however, lack usability: users often miss crucial information and consent to them …

Recently, the cryptocurrency market has been overgrowing, many investors from the global
stock market entered the cryptocurrency business. Users interact and manage their …

Human-AI collaborative decision-making tools are being increasingly applied in critical
domains such as healthcare. However, these tools are often seen as closed and …

As robots become ubiquitous in the workforce, it is essential that human-robot collaboration
be both intuitive and adaptive. A robot's ability to coordinate team activities improves based …