面部识别能力测试的标准分数在在线参与者池中各不相同
B Popovic1, J D Dunn1, A Towler2
1School of Psychology, The University of New South Wales, Sydney, NSW, Australia.
Scientific reports
|March 15, 2025
概括
与Prolific和实验室测试相比,在线参与者招聘平台如亚马逊机械土耳其 (MTurk) 在面部识别测试中得分较低. 对于MTurk参与者来说,需要更严格的数据清理,以确保可靠的认知能力研究.
科学领域:
- 认知心理学 认知心理学
- 研究方法研究方法研究方法学
背景情况:
- 在心理学研究中,在线参与者招募很普遍.
- 在线和实验室设置之间,测试性能可能会有所不同.
研究的目的:
- 评估面部识别处理在不同招聘平台 (MTurk,Prolific) 和面对面测试中的规范性测试分数的稳定性.
- 为组和个人面部记忆测试 (GFMT2) 的子测试提供更新的规范分数.
主要方法:
- 在GFMT2,剑桥面部记忆测试 (CFMT+) 和曼彻斯特面部记忆测试 (MFMT) 中的比较得分.
- 应用注意力检查来评估数据质量和排除率.
- 评估了GFMT2子测试的心理测量特性 (测试-重新测试可靠性,收有效性,诊断值).
主要成果:
- 与Prolific参与者和实验室测试的大学生相比,MTurk参与者在所有测试中得分降低了10%左右.
- 与Prolific (~22%) 相比,在更严格的注意力检查后,MTurk组的排斥率更高 (~62%) .
- GFMT2-Short和GFMT2-High表现出强大的心理测量特性,包括用于识别超级识别者的高诊断价值.
结论:
- 招聘平台对面部身份测试的表现产生重大影响,需要仔细考虑数据质量和规范性得分.
- 提供了GFMT2子测试的最新规范数据,并提供了在线和实体研究可用的测试.
- GFMT2子测试是评估面部识别处理和识别具有特殊能力的个体的可靠和有效工具.
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