Self-tracking technologies used by healthy self-experimenters and chronic illness patients are relatively new but offer potential to accelerate the discovery of evidence-based protocols in the fields of human biology and medicine. Among both academic researchers and real-world practitioners in these fields there is an ever-present body of misinformation, leading to the proliferation of myth-bas...

This paper considers what is required of a sufficiently powerful, and realistically human, game-playing program. It summarizes relevant human performance data, and distinguishes fundamental properties of human and of expert human play. Learning, planning, and visual perception are emphasized, as well as communication. The resultant programs should offer competition, instruction, and collegial d...

Human factors always affect maintenance performance, and in some cases, it’s critical to systems availability and reliability. Despite such importance, in so many cases, there’s no human reliability method applied to analyze maintenance tasks in order to understand better human factors influence in maintenance performance. There are several human analysis methodologies and regarding human facto...

One of the major concerns of sports scientists is the assessment of maximum performance ability and the prediction of maximum performance potential. The intention in the present paper is to examine these objectives, the level of success presently being achieved and the underlying concepts that today describe knowledge of such human performance. The topic examines the degree of commonalty at pre...

Three theories of knowledge transfer -analogy, knowledge compilation, and constraint violation -were tested across three transfer scenarios. Each theory was shown to predict human performance in distinct and identifiable ways on a variety of transfer tasks. Results support the hypothesis that there are multiple mechanisms of transfer and that a general theory of transfer must incorporate each m...

In the medical domain, identifying and expanding abbreviations in clinical texts is a vital task for both better human and machine understanding. It is a challenging task because many abbreviations are ambiguous especially for intensive care medicine texts, in which phrase abbreviations are frequently used. Besides the fact that there is no universal dictionary of clinical abbreviations and no ...

The change signal task is a variant of a two-alternative forced-choice (2AFC) task where the initial stimulus is superseded with the alternative stimulus (the change signal) at a delay on a proportion of trials. Taking advantage of the overlap in task requirements, we present a single model that can perform both tasks, and we validate the model using the empirical data from participants who per...