Evidence map›Paper›PMID 33688843›Full record

ArticleJMIR mHealth and uHealth2021

Measuring Criterion Validity of Microinteraction Ecological Momentary Assessment (Micro-EMA): Exploratory Pilot Study With Physical Activity Measurement.

Aditya Ponnada, Binod Thapa-Chhetry, Justin Manjourides, Stephen Intille

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. A Context-Assisted, Semi-Automated Activity Recall Interface Allowing Uncertainty.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2025
    Article
  7. Article
  8. Longitudinal User Engagement with Microinteraction Ecological Momentary Assessment (μEMA).Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2025
    Article
  9. Article
  10. Enabling Older Adults to Provide High-quality Activity Labels: Unpacking Accuracy, Precision, and Granularity in Activity Labeling.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2025
    Article
  11. Review
  12. Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024
    Article
  13. Review
  14. Article
  15. Dose-response relations between the frequency of two types of momentary feedback prompts and daily physical activity.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Contextual Biases in Microinteraction Ecological Momentary Assessment (μEMA) Non-response.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2022
    Article
  20. 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 1 institution in 1 country.

Aditya PonnadaKhoury College of Computer Sciences, Bouve College of Health Sciences, Northeastern University, Boston, MA, United States.ORCID 0000-0003-0072-1089
Binod Thapa-ChhetryKhoury College of Computer Sciences, Bouve College of Health Sciences, Northeastern University, Boston, MA, United States.ORCID 0000-0002-0102-8166
Justin ManjouridesBouve College of Health Sciences, Northeastern University, Boston, MA, United States.ORCID 0000-0002-2454-4489
Stephen IntilleKhoury College of Computer Sciences, Bouve College of Health Sciences, Northeastern University, Boston, MA, United States.ORCID 0000-0002-0287-2553
Northeastern University · US

Funding

Using Mobile Phones to Reduce Missing Data in Youth Activity Monitoring StudiesR21HL108018 · NHLBI · NORTHEASTERN UNIVERSITY · PI DUNTON, GENEVIEVE FRIDLUND, INTILLE, STEPHEN S · 2012 to 2013
$437k
NHLBI NIH HHS R21 HL108018
6 · The paper itself

Abstract

backgroundEcological momentary assessment (EMA) is an in situ method of gathering self-report on behaviors using mobile devices. In typical phone-based EMAs, participants are prompted repeatedly with multiple-choice questions, often causing participation burden. Alternatively, microinteraction EMA (micro-EMA or μEMA) is a type of EMA where all the self-report prompts are single-question surveys that can be answered using a 1-tap glanceable microinteraction conveniently on a smartwatch. Prior work suggests that μEMA may permit a substantially higher prompting rate than EMA, yielding higher response rates and lower participation burden. This is achieved by ensuring μEMA prompt questions are quick and cognitively simple to answer. However, the validity of participant responses from μEMA self-report has not yet been formally assessed.

objectiveIn this pilot study, we explored the criterion validity of μEMA self-report on a smartwatch, using physical activity (PA) assessment as an example behavior of interest.

methodsA total of 17 participants answered 72 μEMA prompts each day for 1 week using a custom-built μEMA smartwatch app. At each prompt, they self-reported whether they were doing sedentary, light/standing, moderate/walking, or vigorous activities by tapping on the smartwatch screen. Responses were compared with a research-grade activity monitor worn on the dominant ankle simultaneously (and continuously) measuring PA.

resultsParticipants had an 87.01% (5226/6006) μEMA completion rate and a 74.00% (5226/7062) compliance rate taking an average of only 5.4 (SD 1.5) seconds to answer a prompt. When comparing μEMA responses with the activity monitor, we observed significantly higher (P<.001) momentary PA levels on the activity monitor when participants self-reported engaging in moderate+vigorous activities compared with sedentary or light/standing activities. The same comparison did not yield any significant differences in momentary PA levels as recorded by the activity monitor when the μEMA responses were randomly generated (ie, simulating careless taps on the smartwatch).

conclusionsFor PA measurement, high-frequency μEMA self-report could be used to capture information that appears consistent with that of a research-grade continuous sensor for sedentary, light, and moderate+vigorous activity, suggesting criterion validity. The preliminary results show that participants were not carelessly answering μEMA prompts by randomly tapping on the smartwatch but were reporting their true behavior at that moment. However, more research is needed to examine the criterion validity of μEMA when measuring vigorous activities.

Indexed as

Ecological Momentary AssessmentExerciseHumansPilot ProjectsSelf ReportSurveys and Questionnairesactivity monitorcriterion validityecological momentary assessment (EMA)experience samplingmicrointeractionsphysical activitysmartwatchμEMA

Identifiers

PMID33688843
PMCPMC7991987
OpenAlexW3130144651

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.