Situated crowdsourcing using a market model

Abstract

Research is increasingly highlighting the potential for situated crowdsourcing to overcome some crucial limitations of online crowdsourcing. However, it remains unclear whether a situated crowdsourcing market can be sustained, and whether worker supply responds to pricesetting in such a market. Our work is the first to systematically investigate workers' behaviour and response to economic incentives in a situated crowdsourcing market. We show that the market-based model is a sustainable approach to recruiting workers and obtaining situated crowdsourcing contributions. We also show that the price mechanism is a very effective tool for adjusting the supply of labour in a situated crowdsourcing market. Our work advances the body of work investigating situated crowdsourcing.

Motivating participation and improving quality of contribution in ubiquitous crowdsourcing

“…Crowdsourcing using public displays requires little effort from the worker to contribute [19,24], lowering the barriers to contribution from a workers' perspective by minimising the initial effort. Furthermore, it allows for a geofenced and more contextually controlled crowdsourcing environment [24], thus enabling targeting certain individuals [19,20], leveraging people's local knowledge [21,28] or simply reaching an untapped source of potential workers [27,29].…”

“…crowdsourcing on public displays [29]. Again the explanation can be found in the affordances of the medium itself: (new) users of public displays often have nothing else to do, and "killing time" is often as powerful a motivation as the offered rewards seem to be [29].…”

Quality Control in Crowdsourcing

“…This means bringing tasks to the workers physically, where it is more likely to encounter target workers, instead of waiting for them to join a crowdsourcing platform and to actively look for work. For instance, dedicated kiosks installed next to a library entrance [Hosio et al 2014], vending machines installed in front of the major lecture hall in a CS building [Heimerl et al 2012], and public displays [Niforatos et al 2016] have been used for the crowdsourcing of small tasks. Similarly, Vaish et al [2014] ask mobile phone users for micro-contributions each time they unlock their phone, exploiting the common habit of turning to the mobile phone in spare moments.…”

Task Routing and Assignment in Crowdsourcing based on Cognitive Abilities

“…While situated crowdsourcing may be better suited for "local" tasks [27], it has also been shown to be effective with typical crowdsourcing tasks that can be seen in online labour markets [26]. While some situated crowdsourcing deployments do not track workers, making it impossible to assign task based on an individual's cognitive abilities [18,20,27], others have tracked individual workers, such as Bazaar, a situated crowdsourcing market that had user accounts, a virtual currency and rewards [26]. Here, as with online crowdsourcing platforms, having an initial cognitive assessment stage could be beneficial.…”