Tasks for aligning human and machine planning

Research on artificial intelligence and research on human intelligence rely on similar conceptual foundations and have long inspired each other. However, achieving concrete synergy has been difficult, with one obstacle being a lack of alignment of the tasks used in both fields. Artificial intelligence research has traditionally focused on tasks that are challenging to solve, often using human performance as a benchmark to surpass. By contrast, cognitive science and psychology have moved towards tasks that are simple enough to allow for detailed computational modeling of people's choices. These divergent objectives have led to a divide in the complexity of tasks studied, both in perception and cognition. The purpose of this paper is to explore the middle ground: are there tasks that are reasonably attractive to both fields and could provide fertile ground for synergy?