As machines and agents become more autonomous, it has been increasingly clear to
human factors/ergonomics researchers and practitioners that agent transparency is a critical …

Automated decision aids can undoubtedly benefit system performance, but have the
potential to provide incorrect advice, creating the possibility for automation disuse or misuse …

With the increasing prevalence of artificial intelligence (AI) agents, the transparency of
agents has become vital in addressing interaction issues (eg, trust, usefulness, and …

With the increasing prevalence of Artificial Intelligence (AI) agents, the transparency of
agents becomes vital in addressing the interaction issues (eg, explainability and trust). The …

With the increasing utilization of machine learning (ML) to enhance products' capabilities,
the design research community has begun to explore how to support the conceptual design …

This report covers human factors research supported by the Army Research Laboratory's
human–robot interaction (HRI) multiyear program. The emphasis is on design principles …

Many autonomous ship projects have reflected the increasing interest in incorporating the
concept of autonomy into the maritime transportation sector. However, autonomy is not a …

The effects of anthropomorphism, transparency and system failure on task performance and
trust toward an autonomous system during humanautonomy teaming (HAT) were …

The principle of Cognitive Fit is an observed phenomenon demonstrating that specific
problem solving representations used for specific tasks can be conducive to improved …

Transparency is a key factor in improving the performance of human-robot interaction. A
transparent interface allows humans to be aware of the state of a robot and to assess the …