'You Can Always Do Better!": The Impact of Social Proof on Participant Response Bias

Aditya Vashistha, F. Okeke, Richard J. Anderson, Nicola Dell
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引用次数: 16

Abstract

Evaluations of technological artifacts in HCI4D contexts are known to suffer from high levels of participant response bias---where participants only provide positive feedback that they think will please the researcher. This paper describes a practical, low-cost intervention that uses the concept of social proof to influence participant response bias and successfully elicit critical feedback from study participants. We subtly exposed participants to feedback that they perceived to be provided by people 'like them', and experimentally controlled the tone and content of the feedback to provide either positive, negative, or no social proof. We then measured how participants' quantitative and qualitative evaluations of an HCI artifact changed based on the feedback to which they were exposed. We conducted two controlled experiments: an online experiment with 245 MTurk workers and a field experiment with 63 women in rural India. Our findings reveal significant differences between participants in the positive, negative, and no social proof conditions, both online and in the field. Participants in the negative condition provided lower ratings and a greater amount of critical feedback, while participants in the positive condition provided higher ratings and a greater amount of positive feedback. Taken together, our findings demonstrate that social proof is a practical and generalizable technique that could be used by HCI researchers to influence participant response bias in a wide range of contexts and domains.
“你总是可以做得更好!”:社会认同对参与者反应偏差的影响
在HCI4D环境中,对技术工件的评估存在高水平的参与者反应偏差——参与者只提供他们认为会取悦研究人员的积极反馈。本文描述了一种实用的、低成本的干预方法,该方法利用社会认同的概念来影响参与者的反应偏差,并成功地从研究参与者那里获得批判性反馈。我们巧妙地让参与者接触到他们认为是“喜欢他们”的人提供的反馈,并通过实验控制反馈的语气和内容,以提供积极、消极或没有社会证明。然后,我们测量了参与者对HCI工件的定量和定性评估是如何根据他们所接触到的反馈而改变的。我们进行了两个对照实验:一个是245名土耳其工人的在线实验,另一个是63名印度农村妇女的实地实验。我们的研究结果揭示了参与者在积极、消极和无社会认同条件下的显著差异,无论是在网上还是在现场。消极条件下的参与者给出了较低的评分和更多的批评反馈,而积极条件下的参与者给出了较高的评分和更多的积极反馈。综上所述,我们的研究结果表明,社会认同是一种实用且可推广的技术,可被HCI研究人员用于在广泛的背景和领域中影响参与者的反应偏见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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