Evidence map›Paper›PMID 38580626›Full record

ArticleNature communications2024

Attribute latencies causally shape intertemporal decisions.

Fadong Chen, Jiehui Zheng, Lei Wang, Ian Krajbich

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Fadong ChenSchool of Management, Zhejiang University, Hangzhou, 310058, China.ORCID http://orcid.org/0000-0003-3934-580X
Jiehui ZhengAlibaba Business School, Hangzhou Normal University, Hangzhou, 311121, China. zheng_jiehui@hznu.edu.cn.ORCID http://orcid.org/0000-0003-1687-2877
Lei WangSchool of Management, Zhejiang University, Hangzhou, 310058, China.ORCID http://orcid.org/0000-0001-6383-0624
Ian KrajbichDepartment of Psychology, University of California Los Angeles, Los Angeles, CA, USA. krajbich@ucla.edu.ORCID http://orcid.org/0000-0001-6618-5675

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) STI 2030-Major Projects 2021ZD0200409National Natural Science Foundation of China (National Science Foundation of China) 71871199National Natural Science Foundation of China (National Science Foundation of China) 72002195National Natural Science Foundation of China (National Science Foundation of China) 72371226National Science Foundation (NSF) 2148982
6 · The paper itself

Abstract

Intertemporal choices - decisions that play out over time - pervade our life. Thus, how people make intertemporal choices is a fundamental question. Here, we investigate the role of attribute latency (the time between when people start to process different attributes) in shaping intertemporal preferences using five experiments with choices between smaller-sooner and larger-later rewards. In the first experiment, we identify attribute latencies using mouse-trajectories and find that they predict individual differences in choices, response times, and changes across time constraints. In the other four experiments we test the causal link from attribute latencies to choice, staggering the display of the attributes. This changes attribute latencies and intertemporal preferences. Displaying the amount information first makes people more patient, while displaying time information first does the opposite. These findings highlight the importance of intra-choice dynamics in shaping intertemporal choices and suggest that manipulating attribute latency may be a useful technique for nudging.

Indexed as

Delay DiscountingAnimalsChoice BehaviorHumansMiceReaction TimeRewardTime Factors

Identifiers

PMID38580626
PMCPMC10997753

What OpenQuestion holds

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Registered trials

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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.