Evidence map›Paper›PMID 37333048›Full record

ArticleJournal of agricultural and resource economics2023

Learning about Our Vices from Devices: A Model of Individual Learning with an Application to Consumer Food Waste.

Danyi Qi, Brian E Roe, John W Apolzan, Corby K Martin

Open access · greenAbstract read
In one paragraph

Article in Journal of agricultural and resource economics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Danyi QiDept. of Agricultural Economics & Agribusiness, Louisiana State University AgCenter.
Brian E RoeDept. of Agricultural, Environmental & Development Economics, Ohio State University.
John W ApolzanPennington Biomedical Research Center.
Corby K MartinPennington Biomedical Research Center.
Agricultural & Applied Economics Association · USLouisiana State University Agricultural Center · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Leanne Maree Redman · 2005 to 2026
$26.5M
Validation of innovative technology to measure the energy intake of free-living hR21AG032231 · NIA · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI MARTIN, CORBY K · 2007 to 2009
$664k
Energy Expenditure: Relation with Body Mass Over TimeK23DK068052 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI MARTIN, CORBY K · 2006 to 2009
$300k
NIA NIH HHS R21 AG032231NIDDK NIH HHS K23 DK068052NIDDK NIH HHS P30 DK072476NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

The proliferation of personal, household and workplace sensors and devices has created individual environments rich with purposeful and incidental feedback capable of altering behavior. We formulate an empirical learning model suitable for understanding individual behavioral responses in such environments. We estimate this model using data collected about the joint personal decisions of food selection, intake, and waste during a study in which users photographed their meal selections and plate waste over the course of a week with a cell phone. Despite neutral recruitment language and no expectation that participants would alter food intake in response to the assessment procedures, we found a substantial learning-by-doing effect in plate waste reduction as those who document greater plate waste in their captured photographs waste less on subsequent days. Further we identified that participants reduced plate waste by learning to eat more rather than by learning to reduce the amount of food selected.

Indexed as

behavior trackingdietary intakefoodfood wasteLearning by doingobesity

Identifiers

PMID37333048
PMCPMC10274380
OpenAlexW4381158459

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.