The way human users perceive their interactions with AI systems is, in part, influenced by deliberate choices made by the designers. From depictions of Alan Turing’s early computational machines to ...

Researchers are developing a way to incorporate one of the most human of characteristics – uncertainty – into machine learning systems. Human error and ...

The ISA-101 series of standards and technical reports provide a trusted roadmap for designing, implementing, operating and maintaining Human Machine Interfaces (HMIs) in modern process automation ...

Many of America’s top military commanders predict that mastering teaming between humans and increasingly capable AI algorithms and autonomous machines will provide an essential advantage to the ...

Human-machine understanding (HMU) represents the next frontier in human-centric technology. By integrating insights from human behavioural data, cognitive science and psychology with artificial ...

Humans need to interact with machines in manufacturing applications to task those machines, monitor processes and troubleshoot problems. Historically, human-machine interfaces in the industrial ...

The Northwestern Innovation Institute (NI Institute) at Northwestern University's Kellogg School of Management today announced the Northwestern Innovation Prize for Human-Machine Partnership (NI Prize ...

The proposed framework for human performance reliability evaluation consists of three phases. First, data is obtained via subjective worker self-assessments and objective expert evaluations. Second, ...