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奖励增强了在线参与者对一项艰巨听觉任务的投入度。

Reward Enhances Online Participants' Engagement With a Demanding Auditory Task.

机构信息

UCL Ear Institute, University College London, London, United Kingdom.

National Institute for Health Research UCL Hospitals Biomedical Research Centre, Deafness and Hearing Problems Theme, London, United Kingdom.

出版信息

Trends Hear. 2021 Jan-Dec;25:23312165211025941. doi: 10.1177/23312165211025941.

Abstract

Online recruitment platforms are increasingly used for experimental research. Crowdsourcing is associated with numerous benefits but also notable constraints, including lack of control over participants' environment and engagement. In the context of auditory experiments, these limitations may be particularly detrimental to threshold-based tasks that require effortful listening. Here, we ask whether incorporating a performance-based monetary bonus improves speech reception performance of online participants. In two experiments, participants performed an adaptive matrix-type speech-in-noise task (where listeners select two key words out of closed sets). In Experiment 1, our results revealed worse performance in online ( = 49) compared with in-lab ( = 81) groups. Specifically, relative to the in-lab cohort, significantly fewer participants in the online group achieved very low thresholds. In Experiment 2 ( = 200), we show that a monetary reward improved listeners' thresholds to levels similar to those observed in the lab setting. Overall, the results suggest that providing a small performance-based bonus increases participants' task engagement, facilitating a more accurate estimation of auditory ability under challenging listening conditions.

摘要

在线招聘平台越来越多地被用于实验研究。众包具有许多好处,但也有明显的限制,包括无法控制参与者的环境和参与度。在听觉实验的背景下,这些限制对于基于阈值的任务可能特别不利,因为这些任务需要费力的听力。在这里,我们询问在基于表现的金钱奖励是否可以提高在线参与者的语音接收性能。在两项实验中,参与者执行了一种自适应矩阵式语音噪声任务(其中听众从封闭集中选择两个关键词)。在实验 1 中,我们的结果表明,在线( = 49)参与者的表现明显差于实验室( = 81)参与者。具体来说,与实验室队列相比,在线队列中达到非常低阈值的参与者明显较少。在实验 2( = 200)中,我们表明金钱奖励提高了听众的阈值,达到了在实验室设置中观察到的水平。总的来说,结果表明,提供小额基于表现的奖金可以提高参与者的任务参与度,有助于在具有挑战性的听力条件下更准确地估计听力能力。

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