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Ask Less, Learn More: Adapting Ecological Momentary Assessment Survey Length by Modeling Question-Answer Information Gain

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies(2024)10.1145/3699735Source: DataRank Database

Ask Less, Learn More: Adapting Ecological Momentary Assessment Survey Length by Modeling Question-Answer Information Gain is a research paper published in Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2024). On theSindex it has a DataRank of 0. It has been cited 8 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access8 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 2.83)OA: bronzeTopics (15)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Aditya Ponnada ORCID,Weilin Wang ORCID,Genevieve F. Dunton ORCID,Stephen Intille ORCID,Jixin Li ORCID

Live enrichment

PubMed:39664111 OpenAlex:https://openalex.org/W4404586324

NIH

Grant: U01HL146327

NIH

Grant: R01CA240713

FWCI

2.83

Citation Percentile

0.9%

Citation Trend

2025

2026

bronzeLicense: https://www.acm.org/publications/policies/copyright_policy#Background

journalhttps://dl.acm.org/doi/pdf/10.1145/3699735

publisherhttps://dl.acm.org/doi/pdf/10.1145/3699735

publisherhttps://dl.acm.org/doi/10.1145/3699735

journalhttps://doi.org/10.1145/3699735

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39664111

Fields of Study

Mobile Crowdsensing and CrowdsourcingHuman Mobility and Location-Based AnalysisMobile Health and mHealth Applications

Keywords

Computer scienceSet (abstract data type)Ask priceData collectionImputation (statistics)Data miningData scienceEcologyStatisticsMachine learningMissing dataMathematics

Sustainable Development Goals

SDG 0: Life in Land