Research on similarity bias in dual objective visual search based on nuclear power human-machine interface icons

IF 2.5 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL International Journal of Industrial Ergonomics Pub Date : 2024-10-21 DOI:10.1016/j.ergon.2024.103656
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Abstract

Using icons from nuclear power interface as the research object, this study explored how icon similarity affected the performance of dual objective visual search. Firstly, the process of generating similarity bias was described from the perspective of human cognitive processing. The feature attributes of nuclear power icons were extracted, and then associated and mapped with similarity bias attributes. Secondly, a total of 16 instruction icons, device icons, and component icons were selected to propose icon coding logic for different similarity dimensions, and similarity experimental materials were designed. Finally, a dual objective search experiment with a 4 × 4 matrix was conducted to explore the impact of graph similarity on search performance and to determine the priority of perceptual similarity, semantic similarity, and memory similarity. High-level (H) similarity between the two targets resulted in superior visual search performance (p = 0.01 between the response times of similarity high and medium/low). Improving experiential familiarity enhanced search performance in cases of low-level (L) (p = 0.021) and medium-level (M) (p ≤ 0.009) icon similarity, but had no significant impact on search performance in cases of high-level (H) similarity (p ≥ 0.269). Compared to semantic similarity, enhancing perceptual similarity was more likely to improve search performance(p = 0.024).
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基于核电人机界面图标的双目标视觉搜索中的相似性偏差研究
本研究以核电界面的图标为研究对象,探讨了图标相似性如何影响双目标视觉搜索的表现。首先,从人类认知加工的角度描述了相似性偏差的产生过程。提取了核电图标的特征属性,然后将其与相似性偏差属性进行关联和映射。其次,选取了指令图标、设备图标和组件图标共 16 个,提出了不同相似性维度的图标编码逻辑,并设计了相似性实验材料。最后,进行了 4 × 4 矩阵的双目标搜索实验,以探索图形相似性对搜索性能的影响,并确定感知相似性、语义相似性和记忆相似性的优先级。两个目标之间的高水平(H)相似性使视觉搜索性能更优越(高相似性和中/低相似性的反应时间之间的 p = 0.01)。提高经验熟悉度可以提高低级(L)(p = 0.021)和中级(M)(p ≤ 0.009)图标相似度情况下的搜索表现,但对高级(H)相似度情况下的搜索表现没有显著影响(p ≥ 0.269)。与语义相似性相比,增强感知相似性更有可能提高搜索性能(p = 0.024)。
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来源期刊
International Journal of Industrial Ergonomics
International Journal of Industrial Ergonomics 工程技术-工程:工业
CiteScore
6.40
自引率
12.90%
发文量
110
审稿时长
56 days
期刊介绍: The journal publishes original contributions that add to our understanding of the role of humans in today systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.
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