ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2016, Vol. 24 ›› Issue (8): 1319-1328.doi: 10.3724/SP.J.1042.2016.01319

• 研究前沿 • 上一篇    

应聘者非言语信息对面试官评分的影响:解释、测量和控制

张伟;徐建平   

  1. (北京师范大学心理学院, 应用实验心理北京市重点实验室, 北京 100875)
  • 收稿日期:2015-01-25 出版日期:2016-08-15 发布日期:2016-08-15
  • 通讯作者: 徐建平, E-mail: xujp@bnu.edu.cn

The impact of applicant’s non-verbal information on interviewer’s rating: Explanation, measurement and control

ZHANG Wei; XU Jianping   

  1. (School of Psychology, Beijing Normal University; Beijing Key Lab for Applied Experimental Psychology, Beijing 100875, China)
  • Received:2015-01-25 Online:2016-08-15 Published:2016-08-15
  • Contact: XU Jianping, E-mail: xujp@bnu.edu.cn

摘要:

应聘者非言语信息是影响结构化面试中面试官准确评分的一个重要因素。社会互动理论和拟剧论从面试官角度, 社会影响理论和相互依赖理论从应聘者角度分别解释了非言语信息对面试官评分的影响。对非言语信息的测量, 除了传统的自陈式问卷, 一些新兴的计算机识别技术也被使用。为了消除非言语信息对面试评分准确性的影响, 通常会从面试前、面试中和面试后三个阶段对其进行控制。未来可以基于机器学习和大数据分析, 探索非言语信息对结构化面试评分的影响, 建构新的理论以解释影响过程。

关键词: 非言语信息, 结构化面试, 面试官, 评分

Abstract:

Applicant’s non-verbal information is an important factor affecting the interviewer’s rating accuracy in structural interview. Several theories, such as Social Interaction Theory and Dramaturgy Theory from the perspective of the interviewer, Social Influence Theory and Interdependence Theory from the perspective of the applicant, have been trying to explain the impact of applicant’s non-verbal information on interviewer’s rating. In addition to the traditional self-report questionnaire, some of the emerging computer recognition technologies have also been used to measure the non-verbal information. Some actions should be taken to eliminate the impact of non-verbal information on the accuracy of the interviewer’s rating before, during and after an interview. Future research can be based on machine learning and big data analysis, to explore the impact mechanism of non-verbal information on interviewer’s rating in structural interview and construct a new theory to explain the impact on the rating process.

Key words: non-verbal information, structural interview, interviewer, rating