Category-level contributions to the alphanumeric category effect in visual search

被引:13
|
作者
Hamilton, J. Paul [1 ]
Mirkin, Michelle [1 ]
Polk, Thad A. [1 ]
机构
[1] Stanford Univ, Dept Psychol, Stanford, CA 94305 USA
关键词
Visual Search; Letter Target; Category Effect; Stimulus Category; Distractor Stimulus;
D O I
10.3758/BF03213928
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
Do letter and digit recognition depend on the same or different cognitive mechanisms? Letters are detected more quickly among digits than among letters; likewise, digit search is facilitated when distractors are letters, as opposed to digits. This effect suggests that different mechanisms underlie recognition of these two categories. There are, however, systematic physical differences between letters and digits that might account for the effect. We used target and distractor stimuli that facilitated within-category search when inverted, and category identity was, thereby, attenuated. However, in conditions of upright search, in which category identity was more salient, between-category search was more efficient for the same stimuli. These findings suggest that letter and digit recognition are, at least to a degree, functionally independent.
引用
收藏
页码:1074 / 1077
页数:4
相关论文
共 50 条
  • [41] CONCEPTUAL CATEGORY EFFECT IN VISUAL SEARCH - O AS LETTER OR AS DIGIT
    JONIDES, J
    GLEITMAN, H
    PERCEPTION & PSYCHOPHYSICS, 1972, 12 (06): : 457 - 460
  • [42] MODELING CATEGORY-LEVEL PURCHASE TIMING WITH BRAND-LEVEL MARKETING VARIABLES
    Fok, Dennis
    Paap, Richard
    JOURNAL OF APPLIED ECONOMETRICS, 2009, 24 (03) : 469 - 489
  • [43] Role of the category level in hybrid search
    Angelgard, A. N.
    Makarov, I. M.
    Gorbunova, E. S.
    VOPROSY PSIKHOLOGII, 2021, (02) : 148 - +
  • [44] Revisiting the category effect: The influence of meaning and search strategy on the efficiency of visual search
    Smilek, D
    Dixon, MJ
    Merikle, PM
    BRAIN RESEARCH, 2006, 1080 : 73 - 90
  • [45] Modeling Multiple Coexisting Category-Level Intentions for Next Item Recommendation
    Xu, Yanan
    Zhu, Yanmin
    Yu, Jiadi
    ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2021, 39 (03)
  • [46] Open-Vocabulary Category-Level Object Pose and Size Estimation
    Cai, Junhao
    He, Yisheng
    Yuan, Weihao
    Zhu, Siyu
    Dong, Zilong
    Bo, Liefeng
    Chen, Qifeng
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (09): : 7661 - 7668
  • [47] Category-Level Adversarial Adaptation for Semantic Segmentation Using Purified Features
    Luo, Yawei
    Liu, Ping
    Zheng, Liang
    Guan, Tao
    Yu, Junqing
    Yang, Yi
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 44 (08) : 3940 - 3956
  • [48] CLA-NeRF: Category-Level Articulated Neural Radiance Field
    Tseng, Wei-Cheng
    Liao, Hung-Ju
    Yen-Chen, Lin
    Sun, Min
    2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2022, 2022, : 8454 - 8460
  • [49] A Latent Topic Analysis Framework for Category-Level Target Promotion in the Supermarket
    Sun, Yi
    Hayashi, Teruaki
    Ohsawa, Yukio
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021), 2021, 192 : 2170 - 2179
  • [50] Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization
    Feng, Wei
    Wang, Lin
    Ju, Lie
    Zhao, Xin
    Wang, Xin
    Shi, Xiaoyu
    Ge, Zongyuan
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT II, 2022, 13432 : 497 - 506