PSYCH OpenIR
The Cueing Effect in Retrieval of Expertise: Designing for Future Intelligent Knowledge Management System.
Zhang, Liang1,2; Li, Xiaoqin3; Xiong, Ting4; Pang, Xiaoyue5; Zhang, Jingyu1,2
2020-05
Correspondent Emailzhangjingyu@psych.ac.cn
Conference NameHCII2020
Source PublicationLecture Notes in Computer Science
Pages221-230
Conference Date2020.07.19-2020.07.24
Conference PlaceCopenhagen, Denmark
Contribution Rank1
Abstract

Along with the rapid technological developments in the past few decades, human work is becoming more knowledge-based, and professional expertise is becoming even more important. In this way, effective methods to retrieve and transfer such expertise are greatly needed. Prior research has found that pictures can be used as visual cues for supporting general memory retrieval, but whether this effect can be used to support professional expertise retrieval is not fully understood. The aim of the present study is to explore whether the picture cues can support the retrieval of professional expertise in a typical mechanical fault diagnosis task. Sixteen postgraduates who majored in mechanics with vehicle repair experience took part in the study. On the first day, they were trained for 1.5 h on a simulated vehicle maintenance and repair task. After that, they were asked to accomplish three fault diagnosis tasks. On the next day, they participated in a 30-min expertise retrieval test. In the test, they were presented with or without picture cues (i.e., key-picture-cue, random-picture-cue, and without cues) and then answered questions to measure their memory over yesterday’s operations. The results showed that participants retrieved more accurately with picture-cues compared to the scenario without the cues, and the accuracy in the key-picture-cues scenario was higher than the random-picture-cues scenario. These results show a robust cueing effect in the retrieval of expertise in fault diagnosis operations and indicated a potential application of expertise retrieval and transfer when designing an intelligent knowledge management system in the future.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/31926
Collection中国科学院心理研究所
Corresponding AuthorPang, Xiaoyue
Affiliation1.Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing; 100101, China
2.University of Chinese Academy of Sciences, Beijing; 100049, China
3.School of Psychology, Beijing Sport University, Beijing; 100084, China
4.Department of Psychiatry, Dalhousie University, Halifax; NS; B3H 4R2, Canada
5.Siemens Ltd. China, Beijing; 100102, China
Recommended Citation
GB/T 7714
Zhang, Liang,Li, Xiaoqin,Xiong, Ting,et al. The Cueing Effect in Retrieval of Expertise: Designing for Future Intelligent Knowledge Management System.[C],2020:221-230.
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