The Effect of Feedback on Attention Allocation in Category Learning: An Eye Tracking Study

被引:2
|
作者
Arbel, Yael [1 ]
Feeley, Emily [1 ]
He, Xinyi [1 ]
机构
[1] Massachusetts Gen Hosp MGH, Inst Hlth Profess, Dept Commun Sci & Disorders, Boston, MA 02114 USA
来源
FRONTIERS IN PSYCHOLOGY | 2020年 / 11卷
关键词
category learning; attention allocation; feedback processing; eye-tracking; learning strategies; SELECTIVE ATTENTION; INFORMATION; MODEL; EYETRACKING; MOVEMENTS; FEATURES;
D O I
10.3389/fpsyg.2020.559334
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
It has been suggested that category learning involves changes in attention allocation based on the relevance of input to the classification. Using eye-gaze measures, Rehder and Hoffman studied changes in attention allocation during category learning in a 5-4 category structure paradigm with four features of varying diagnosticity levels. In this paradigm, participants are tasked with classifying creatures into two groups through trial and error guided by feedback. While learners' eye-gaze patterns have been studied as a function of feature diagnosticity levels throughout the learning process, they have not been evaluated in relation to performance and feedback. The present study borrowed and modified Rehder and Hoffman's category paradigm and evaluated eye-gaze behavior as a function of the diagnosticity level of features, and the valence (positive vs. negative) of the preceding feedback during learning. Our results support Rehder and Hoffman's observations that gaze on the low diagnosticity feature decreased from the beginning to the end of the task. When change in eye gaze behavior was evaluated in relation to feedback, change in fixation probability was found to be greater following negative feedback. The results indicate that in a category task that includes performance feedback, learning strategies as indicated by changes in selective attention to features are affected to some degree by the valence of the feedback on a preceding trial.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] The Effect of High Nameable Features on Category Learning: An Eye-Tracking Study
    Xian, Meijun
    Lu, Zheyi
    Xing, Qiang
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2021, 168 : S157 - S157
  • [2] Investigating Attentional Allocation With Eye Tracking During Category Learning in People With Aphasia
    Vallila-Rohter, Sofia
    Czupryna, Brendan
    TOPICS IN LANGUAGE DISORDERS, 2020, 40 (01) : 110 - 123
  • [3] Observed attention allocation processes in category learning
    Matsuka, Toshihiko
    Corter, James E.
    QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 2008, 61 (07): : 1067 - 1097
  • [4] Individual differences in the allocation of attention to emotional images: An eye tracking study
    Newman, Kristin R.
    Arndt, Jody E.
    Ference, Jennifer D.
    Thomas, Charmaine L.
    Sears, Christopher R.
    CANADIAN JOURNAL OF EXPERIMENTAL PSYCHOLOGY-REVUE CANADIENNE DE PSYCHOLOGIE EXPERIMENTALE, 2011, 65 (04): : 297 - 297
  • [5] Attention allocation in posttraumatic stress disorder: an eye-tracking study
    Lazarov, Amit
    Suarez-Jimenez, Benjamin
    Zhu, Xi
    Pine, Daniel S.
    Bar-Haim, Yair
    Neria, Yuval
    PSYCHOLOGICAL MEDICINE, 2022, 52 (15) : 3720 - 3729
  • [6] The Effect of Labels on Visual Attention: An Eye Tracking Study
    Best, Catherine A.
    Robinson, Christopher W.
    Sloutsky, Vladimir M.
    COGNITION IN FLUX, 2010, : 1846 - 1851
  • [7] Attention mediates the effect of emotional arousal on learning outcomes in multimedia learning: an eye-tracking study
    Aksaray, Sevgi Genc
    Ozcelik, Erol
    EDUCATIONAL PSYCHOLOGY, 2023, 43 (01) : 38 - 56
  • [8] Exploring the 'mood congruency' hypothesis of attention allocation - An eye-tracking study
    Hertz-Palmor, Nimrod
    Yosef, Yam
    Hallel, Hadar
    Bernat, Inbar
    Lazarov, Amit
    JOURNAL OF AFFECTIVE DISORDERS, 2024, 347 : 619 - 629
  • [9] Attentional biases in dysphoria: An eye-tracking study of the allocation and disengagement of attention
    Sears, Christopher R.
    Thomas, Charmaine L.
    LeHuquet, Jessica M.
    Johnson, Jeremy C. S.
    COGNITION & EMOTION, 2010, 24 (08) : 1349 - 1368
  • [10] Using Eye-Tracking for Visual Attention Feedback
    Toreini, Peyman
    Langner, Moritz
    Maedche, Alexander
    INFORMATION SYSTEMS AND NEUROSCIENCE, 2020, 32 : 261 - 270