Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Developing a Modular Survey App Using Co-design Principles

Bibliographic Data

ID7154405
AuthorsChristopher Antoun (0000-0002-2639-340X, University of Maryland, College Park, corresponding author), Xin Yang (0000-0002-0154-737X, University of Maryland, College Park), Brady T West (0000-0003-0160-1388, University of Michigan), Ai Rene Ong (0000-0002-3118-3458, American Institutes for Research)
Year2025
Volume37
Issue2
Pages95-109
Publication date2025-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCAM (JOURNAL)
Journal identifiersISSN: 1087-8513 • E-ISSN: 1552-3969
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/1525822x241260994
OpenAlexW4399952707
LanguageEN
References cited15

The objective of our project was to develop a smartphone app for administering shorter (“modular”) surveys. Given the paucity of research on this topic, we decided to use “co-design” techniques to generate design solutions. To implement these techniques, we recruited respondents in the survey target population to work in small groups and provide design ideas for the app. In this article, we present their input and examine whether we were successful in engaging them to contribute useful ideas. Although participation levels were uneven across the different groups, we found no evidence that group engagement was low overall or declined over the course of the sessions. In addition, the groups generated a diverse set of ideas, some of which informed the final app design. These findings underscore the feasibility of applying co-design principles to survey research, though further investigation is needed with different samples and design topics

Human–computer interaction · Modular design · Programming language · Computer Science · Innovative Approaches in Technology and Social Development · Persona Design and Applications · Psychology · Usability and User Interface Design

  • Surveys as conversations between makers and takers

    Open Access•Stephanie J Tepper, Mikaela Spruill et al.•Analyses of Social Issues and…•2022

  • Comparison of Smartphone and Online Computer Survey Administration

    Open Access•Tom Wells, Justin T Bailey et al.•Social Science Computer Review•2013

  • Collecting Survey and Smartphone Sensor Data With an App

    Open Access•Frauke Kreuter, Georg-Christoph Haas et al.•Social Science Computer Review•2018

  • Modularization in an Era of Mobile Web

    Open Access•Vera Toepoel, Peter Lugtig•Social Science Computer Review•2018

  • Effects of Questionnaire Length, Respondent-Friendly Design, and a Difficult Question on Response Rates for Occupant-Addressed Census Mail Surveys

    Don A Dillman, Michael Sinclair et al.•Public Opinion Quarterly•1993

  • Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys

    M W Link, Michael Link et al.•Public Opinion Quarterly•2014

  • Methods for Testing and Evaluating Survey Questions

    Stanley Presser, Presser et al.•Public Opinion Quarterly•2004

  • Research Synthesis

    Phillip Beatty, P C Beatty et al.•Public Opinion Quarterly•2007

  • Community-Based Research Partnerships

    Meredith Minkler•Journal of Urban Health•2005

  • Utilizing Smartphones to Study Disadvantaged and Hard-to-Reach Groups

    Open Access•Naomi F Sugie•Sociological Methods & Research•2018

Citation velocityhistorical
Highly citedNo
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae