TY - JOUR
PY - 2014//
TI - On-the-fly scheduling as a manifestation of partial-order planning and dynamic task values
JO - Human factors
A1 - Hannah, Samuel D.
A1 - Neal, Andrew
SP - 1093
EP - 1112
VL - 56
IS - 6
N2 - OBJECTIVE: The aim of this study was to develop a computational account of the spontaneous task ordering that occurs within jobs as work unfolds ("on-the-fly task scheduling").
BACKGROUND: Air traffic control is an example of work in which operators have to schedule their tasks as a partially predictable work flow emerges. To date, little attention has been paid to such on-the-fly scheduling situations.
METHOD: We present a series of discrete-event models fit to conflict resolution decision data collected from experienced controllers operating in a high-fidelity simulation.
RESULTS: Our simulations reveal air traffic controllers' scheduling decisions as examples of the partial-order planning approach of Hayes-Roth and Hayes-Roth. The most successful model uses opportunistic first-come-first-served scheduling to select tasks from a queue. Tasks with short deadlines are executed immediately. Tasks with long deadlines are evaluated to assess whether they need to be executed immediately or deferred.
CONCLUSION: On-the-fly task scheduling is computationally tractable despite its surface complexity and understandable as an example of both the partial-order planning strategy and the dynamic-value approach to prioritization.
Language: en
LA - en SN - 0018-7208 UR - http://dx.doi.org/ ID - ref1 ER -