ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

Advances in Psychological Science ›› 2023, Vol. 31 ›› Issue (suppl.): 1-1.

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Deciphering Human Decision Rules in Motion Discrimination

Jinfeng Huanga,b,c, Alexander Yud, Yifeng Zhoub,c, Zili Liue   

  1. aDepartment of Psychology, Hebei Normal University, Shijiazhuang, China;
    bHefei National Laboratory for Physical Sciences at Microscale, School of Life Science, University of Science and Technology of China, 230027, Hefei, Anhui China;
    cState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, 100101, Beijing, China;
    dDepartment of Computer Science, University of California, Los Angeles, USA;
    eDepartment of Psychology, University of California, Los Angeles, USA
  • Online:2023-08-26 Published:2023-09-11

Abstract: PURPOSE: We investigated the eight decision rules for a same-different task, as summarized in Petrov (Psychonomic Bulletin & Review, 16(6), 1011-1025, 2009).
METHODS: These rules, including the differencing (DF) rule and the optimal independence rule, are all based on the standard model in signal detection theory. Each rule receives two stimulus values as inputs and uses one or two decision criteria.
RESULTS: We proved that the false alarm rate p(F) ≤ 1/2 for four of the rules. We also conducted a samedifferent rating experiment on motion discrimination (n = 54), with 4◦ or 8◦ directional difference. We found that the human receiver operating characteristic (ROC) spanned its full range [0, 1] in p(F), thus rejecting these four rules. The slope of the human Z-ROC was also < 1, further confirming that the independence rule was not used. We subsequently fitted in the four-dimensional (pAA, pAB, pBA, pBB) space the human data to the remaining four rules—DF and likelihood ratio rules, each with one or two criteria, where pXY = p(responding “different” given stimulus sequence XY ).
CONCLUSIONS: We found that, using residual distribution analysis, only the two criteria DF rule (DF2) could account for the human data.

Key words: Same-different, Motion discrimination, ROC, Signal detection theory.