The effect of abstract representation and response feedback on serial dependence in numerosity perception

被引:12
|
作者
Fornaciai, Michele [1 ,2 ]
Park, Joonkoo [1 ]
机构
[1] Univ Massachusetts, 135 Hicks Way, Amherst, MA 01003 USA
[2] Int Sch Adv Studies SISSA, Via Bonomea 265, Trieste, TS, Italy
基金
美国国家科学基金会;
关键词
Serial dependence; Numerosity perception; Symbolic numbers; Response feedback; ADAPTATION; NUMBERS;
D O I
10.3758/s13414-022-02518-y
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Serial dependence entails an attractive bias based on the recent history of stimulation, making the current stimulus appear more similar to the preceding one. Although serial dependence is ubiquitous in perception, its nature and mechanisms remain unclear. Here, in two independent experiments, we test the hypothesis that this bias originates from high-level processing stages at the level of abstract information processing (Exp. 1) or at the level of judgment (Exp. 2). In Experiment 1, serial dependence was induced by a task-irrelevant "inducer" stimulus in a numerosity discrimination task, similarly to previous studies. Importantly, in this experiment, the inducers were either arrays of dots similar to the task-relevant stimuli (e.g., 12 dots), or symbolic numbers (e.g., the numeral "12"). Both dots and symbol inducers successfully yielded attractive serial dependence biases, suggesting that abstract information about an image is sufficient to bias the perception of the current stimulus. In Experiment 2, participants received feedback about their responses in each trial of a numerosity estimation task, which was designed to assess whether providing external information about the accuracy of judgments would modulate serial dependence. Providing feedback significantly increased the attractive serial dependence effect, suggesting that external information at the level of judgment may modulate the weight of past perceptual information during the processing of the current image. Overall, our results support the idea that, although serial dependence may operate at a perceptual level, it originates from high-level processing stages at the level of abstract information processing and at the level of judgment.
引用
收藏
页码:1651 / 1665
页数:15
相关论文
共 50 条
  • [21] Serial dependence in the perception of visual variance
    Suarez-Pinilla, Marta
    Seth, Anil K.
    Roseboom, Warrick
    JOURNAL OF VISION, 2018, 18 (07): : 1 - 24
  • [22] Serial dependence for perception of visual variance
    Suarez-Pinilla, Marta
    Roseboom, Warrick
    Seth, Anil
    PERCEPTION, 2016, 45 : 344 - 344
  • [23] Abstract Shape Representation in Human Visual Perception
    Baker, Nicholas
    Kellman, Philip J.
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL, 2018, 147 (09) : 1295 - 1308
  • [24] Response bias in numerosity perception at early judgments and systematic underestimation
    Kilic, Asli
    Inan, Asli Bahar
    ATTENTION PERCEPTION & PSYCHOPHYSICS, 2022, 84 (01) : 188 - 204
  • [25] Response bias in numerosity perception at early judgments and systematic underestimation
    Aslı Kılıç
    Aslı Bahar İnan
    Attention, Perception, & Psychophysics, 2022, 84 : 188 - 204
  • [26] Estimation bias and serial dependence in speed perception
    Wang, Si-Yu
    Zhang, Xiao-Yan
    Sun, Qi
    BMC PSYCHOLOGY, 2024, 12 (01)
  • [27] Serial dependence in position occurs at the time of perception
    Manassi, Mauro
    Liberman, Alina
    Kosovicheva, Anna
    Zhang, Kathy
    Whitney, David
    PSYCHONOMIC BULLETIN & REVIEW, 2018, 25 (06) : 2245 - 2253
  • [28] Serial dependence in perception requires conscious awareness
    Kim, Sujin
    Burr, David
    Cicchini, Guido Marco
    Alais, David
    CURRENT BIOLOGY, 2020, 30 (06) : R257 - R258
  • [29] Serial dependence in position occurs at the time of perception
    Mauro Manassi
    Alina Liberman
    Anna Kosovicheva
    Kathy Zhang
    David Whitney
    Psychonomic Bulletin & Review, 2018, 25 : 2245 - 2253
  • [30] Serial Dependence across Perception, Attention, and Memory
    Kiyonaga, Anastasia
    Scimeca, Jason M.
    Bliss, Daniel P.
    Whitney, David
    TRENDS IN COGNITIVE SCIENCES, 2017, 21 (07) : 493 - 497