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Participatory Budgeting (PB) is a process in which voters decide how toallocate a common budget; most commonly it is done by ordinary people -- inparticular, residents of some municipality -- to decide on a fraction of themunicipal budget. From a social choice perspective, existing research on PBfocuses almost exclusively on designing computationally-efficient aggregationmethods that satisfy certain axiomatic properties deemed "desirable" by theresearch community. Our work complements this line of research through a userstudy (N = 215) involving several experiments aimed at identifying whatpotential voters (i.e., non-experts) deem fair or desirable in simple PBsettings. Our results show that some modern PB aggregation techniques greatlydiffer from users' expectations, while other, more standard approaches, providemore aligned results. We also identify a few possible discrepancies betweenwhat non-experts consider \say{desirable} and how they perceive the notion of"fairness" in the PB context. Taken jointly, our results can be used to helpthe research community identify appropriate PB aggregation methods to use inpractice.

What Should We Optimize in Participatory Budgeting? An Experimental Study