Evidence map›Paper›PMID 42115555›Full record

ArticlePsychonomic bulletin & review2026

Does zero mean nothing? Investigating the attentional mechanism of the hidden-zero effect in risky decision-making.

Zhu-Yuan Liang, Mingqian Guo, Yuepei Xu, Shu-Yu Liu, Lei Zhang, Lei Zhou

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Article in Psychonomic bulletin & review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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5 · Who and what money

Authors and funding

6 authors.

Zhu-Yuan LiangState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
Mingqian Guo *Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, 6525GD, the Netherlands.
Yuepei Xu *State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.ORCID http://orcid.org/0000-0002-6593-6470
Shu-Yu LiuState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
Lei ZhangSchool of Psychology, University of Birmingham, Birmingham, B15 2TT, UK.
Lei ZhouSchool of Management, Guangdong University of Technology, Guangzhou, 510520, China. zhoulei@gdut.edu.cn.

Funding

Basic and Applied Basic Research Project of Guangzhou Basic Research Program 202201010579National Natural Science Foundation of China 71471171National Natural Science Foundation of China 72271066National Natural Science Foundation of China 72271230
6 · The paper itself

Abstract

The framing of risky choices can shape and alter individuals' risk preferences. Within every option in a risky choice (e.g., 70% chance to win $100), there is a naturally embedded but hidden zero outcome (e.g., 30% chance to win $0). Here, we tested the hidden-zero effect by comparing participants' risky choices between two different conditions (i.e., presenting options with or without explicit-zero outcomes) with a full range of risky probabilities (5%-95%). The results showed that presenting zero outcomes explicitly led to more risky choices (Studies 1 and 2). Moreover, combining eye-movement measurement and computational modeling, we then developed a series of models based on Expected Utility and Prospect Theory to quantify the attentional process underlying this hidden-zero effect. These results demonstrated that the hidden-zero effect is primarily driven by a choice bias toward the risky option, which was mediated by increased visual attention to the risky option. These findings suggest that the utility of zero does not simply equal zero; rather, presenting the often-omitted zero components may shift individuals' attention toward risky options, encouraging them to take more risks.

Indexed as

AttentionChoice BehaviorDecision MakingRisk-TakingAdultFemaleHumansMaleYoung AdultAttentional biasComputational modelingEye-trackingHidden-zero effect

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.