Evidence map›Paper›PMID 28499433›Full record

Trial reportThe international journal of behavioral nutrition and physical activity2017

ServAR: An augmented reality tool to guide the serving of food.

Megan E Rollo, Tamara Bucher, Shamus P Smith, Clare E Collins

Open access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The international journal of behavioral nutrition and physical activity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Evaluating augmented reality for 'real life' teaching of food portion concepts.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2022
    Article
  5. Article
  6. Review
  7. Article
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 2 countries.

Megan E RolloSchool of Health Sciences, Priority Research Centre for Physical Activity & Nutrition, ATC Building, University of Newcastle, Callaghan, NSW, 2308, Australia. megan.rollo@newcastle.edu.au.
Tamara BucherSchool of Health Sciences, Priority Research Centre for Physical Activity & Nutrition, ATC Building, University of Newcastle, Callaghan, NSW, 2308, Australia.
Shamus P SmithSchool of Electrical Engineering and Computing, University of Newcastle, Callaghan, Australia.
Clare E CollinsSchool of Health Sciences, Priority Research Centre for Physical Activity & Nutrition, ATC Building, University of Newcastle, Callaghan, NSW, 2308, Australia.
University of Newcastle Australia · AUETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate estimation of food portion size is a difficult task. Visual cues are important mediators of portion size and therefore technology-based aids may assist consumers when serving and estimating food portions. The current study evaluated the usability and impact on estimation error of standard food servings of a novel augmented reality food serving aid, ServAR.

methodsParticipants were randomised into one of three groups: 1) no information/aid (control); 2) verbal information on standard serving sizes; or 3) ServAR, an aid which overlayed virtual food servings over a plate using a tablet computer. Participants were asked to estimate the standard serving sizes of nine foods (broccoli, carrots, cauliflower, green beans, kidney beans, potato, pasta, rice, and sweetcorn) using validated food replicas. Wilcoxon signed-rank tests compared median served weights of each food to reference standard serving size weights. Percentage error was used to compare the estimation of serving size accuracy between the three groups. All participants also performed a usability test using the ServAR tool to guide the serving of one randomly selected food.

resultsNinety adults (78.9% female; a mean (95%CI) age 25.8 (24.9-26.7) years; BMI 24.2 (23.2-25.2) kg/m

conclusionsUse of the augmented reality tool improved accuracy and consistency of estimating standard serve sizes compared to the information only and control conditions. ServAR demonstrates potential as a practical tool to guide the serving of food. Further evaluation across a broad range of foods, portion sizes and settings is warranted.

Indexed as

Feeding BehaviorPortion SizeSize PerceptionTechnologyAdultComputersEnergy IntakeFemaleFoodFood PreferencesHumansMaleVegetablesYoung AdultAugmented realityEstimation errormHealthNutritionPortion control

Identifiers

PMID28499433
PMCPMC5429537
OpenAlexW2612193997

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.