The Impact of the Timing of Advice on Its Utilization

ABSTRACT There is theoretical and practical interest in characterizing the factors that affect the use of advice when making decisions. Here, we investigated how the timing of advice affects its utilization. We conducted three experiments to compare the integration of advice shown before versus after participants had the chance themselves to evaluate evidence relevant to a decision. We used a perceptual discrimination task in a judge–advisor system, allowing careful control over both the participants' task performance and the task structure across conditions except for the timing of advice. Across all experiments, we found that advice provided after stimulus presentation was agreed with more, and influenced participants' judgments to a greater extent, than advice provided beforehand. In Experiment 1, we observed this tendency to hold when advice varied in accuracy and, in Experiment 2, across variations in task difficulty. Experiment 2 also revealed participants' preference for poststimulus advice when they were given choice over when to receive advice. In Experiment 3, we found greater influence of poststimulus advice to hold both for binary judgments and continuous estimations. These results provide interesting implications for research on the mechanisms of advice integration.

Authors

Institutions

Publication Details

Journal
Journal of Behavioral Decision Making
Published
2025-05-15
DOI
https://doi.org/10.1002/bdm.70021
Primary Topic
Decision-Making and Behavioral Economics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of the Timing of Advice on Its Utilization

Nick Yeung, Sriraj Aiyer
1 links
Journal of Behavioral Decision Making
Decision-Making and Behavioral Economics
article

The Impact of the Timing of Advice on Its Utilization

Nick Yeung, Sriraj Aiyer
article en

Abstract

ABSTRACT There is theoretical and practical interest in characterizing the factors that affect the use of advice when making decisions. Here, we investigated how the timing of advice affects its utilization. We conducted three experiments to compare the integration of advice shown before versus after participants had the chance themselves to evaluate evidence relevant to a decision. We used a perceptual discrimination task in a judge–advisor system, allowing careful control over both the participants' task performance and the task structure across conditions except for the timing of advice. Across all experiments, we found that advice provided after stimulus presentation was agreed with more, and influenced participants' judgments to a greater extent, than advice provided beforehand. In Experiment 1, we observed this tendency to hold when advice varied in accuracy and, in Experiment 2, across variations in task difficulty. Experiment 2 also revealed participants' preference for poststimulus advice when they were given choice over when to receive advice. In Experiment 3, we found greater influence of poststimulus advice to hold both for binary judgments and continuous estimations. These results provide interesting implications for research on the mechanisms of advice integration.

Journal of Behavioral Decision MakingVol. 38(3)
University of Oxford (GB)
Defence Science and Technology Laboratory, Air Force Office of Scientific Research
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 87%
Decision-Making and Behavioral Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Impact of the Timing of Advice on Its Utilization — Nick Yeung, Sriraj Aiyer · Journal of Behavioral Decision Making (2025) | TGRS Research Map | TGRS