research-article

Mobile interface design for low-literacy populations

Authors:

Beenish M. Chaudry,

Kay H. Connelly,

Janet L. WelchAuthors Info & Claims

IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Pages 91 - 100

https://doi.org/10.1145/2110363.2110377

Published: 28 January 2012 Publication History

Abstract

Despite the proliferation of mobile health applications, few target low literacy users. This is a matter of concern because 43% of the United States population is functionally illiterate. To empower everyone to be a full participant in the evolving health system and prevent further disparities, we must understand the design needs of low literacy populations. In this paper, we present two complementary studies of four graphical user interface (GUI) widgets and three different cross-page navigation styles in mobile applications with a varying literacy, chronically-ill population. Participant's navigation and interaction styles were documented while they performed search tasks using high fidelity prototypes running on a mobile device. Results indicate that participants could use any non-text based GUI widgets. For navigation structures, users performed best when navigating a linear structure, but preferred the features of cross-linked navigation. Based on these findings, we provide some recommendations for designing accessible mobile applications for varying-literacy populations.

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Cited By

Teran LCarvalho CCaruso JMota M(2025)Discovering Accessible Financial Systems Resources for Emergent UsersJournal on Interactive Systems10.5753/jis.2025.447616:1(1-24)Online publication date: 1-Jan-2025
https://doi.org/10.5753/jis.2025.4476
Chaudhry BSiek KConnelly K(2024)The Usability and Feasibility of a Dietary Intake Self-Monitoring Application in a Population with Varying Literacy LevelsJournal of Personalized Medicine10.3390/jpm1409100114:9(1001)Online publication date: 20-Sep-2024
https://doi.org/10.3390/jpm14091001
Saif AZakir MRaza ANaseem M(2024)EvolveUI: User Interfaces that Evolve with User ProficiencyProceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3674829.3675078(230-237)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3674829.3675078
Show More Cited By

Index Terms

Mobile interface design for low-literacy populations
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design

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cover image ACM Conferences

IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

January 2012

914 pages

ISBN:9781450307819

DOI:10.1145/2110363

General Chairs:
Gang Luo
IBM Research, USA
,
Jiming Liu
Hong Kong Baptist University
,
Program Chair:
Christopher C. Yang
Drexel University

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 28 January 2012

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IHI '12: ACM International Health Informatics Symposium

January 28 - 30, 2012

Florida, Miami, USA

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Cited By

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https://doi.org/10.5753/jis.2025.4476
Chaudhry BSiek KConnelly K(2024)The Usability and Feasibility of a Dietary Intake Self-Monitoring Application in a Population with Varying Literacy LevelsJournal of Personalized Medicine10.3390/jpm1409100114:9(1001)Online publication date: 20-Sep-2024
https://doi.org/10.3390/jpm14091001
Saif AZakir MRaza ANaseem M(2024)EvolveUI: User Interfaces that Evolve with User ProficiencyProceedings of the 7th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3674829.3675078(230-237)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3674829.3675078
Okolo CAgarwal DDell NVashistha A(2024)"If it is easy to understand then it will have value": Examining Perceptions of Explainable AI with Community Health Workers in Rural IndiaProceedings of the ACM on Human-Computer Interaction10.1145/36373488:CSCW1(1-28)Online publication date: 26-Apr-2024
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Cao JZhou ZZhou J(2024)Older Adults’ Disorientation in Smartphones: Exploring the Role of Spatial Ability and Quantifying Cognitive Similarity Between Perceived and Physical Information StructureInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2439638(1-16)Online publication date: 18-Dec-2024
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Turchioe MLai ASiek K(2024)Designing and Deploying Mobile Health InterventionsHuman Computer Interaction in Healthcare10.1007/978-3-031-69947-4_12(291-316)Online publication date: 14-Nov-2024
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Collombon EPeels DBolman Cde Bruijn GLechner L(2023)Adding Mobile Elements to Online Physical Activity Interventions for Adults Aged Over 50 Years: Prototype Development StudyJMIR Formative Research10.2196/423947(e42394)Online publication date: 25-Jan-2023
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