Conference Paper2026

Co-Designing a Culturally Tailored mHealth App for Gestational Diabetes and Excessive Gestational Weight Gain Management in Bangladesh

Faiza Omar Arpita, Istiaq Ahmed, Joye Banik, Ashraful Islam, M Ashraful Amin

International Conference on Human-Computer Interaction

In: Human-Centered Design, Operation and Evaluation of Mobile Communications

Springer Nature Switzerland, pp. 28-48, ISBN: 9783032305480

  • Good Health and Well-being — Relevance: 96%
  • Gender Equality — Relevance: 77%

Keywords

  • excessive gestational weight gain
  • participatory co-design
  • offline-first architecture
  • gestational diabetes mellitus
  • trauma-informed design
  • low- and middle-income countries
  • usability evaluation
  • mobile health apps
  • Bangladesh
  • food database

CCDS Authors

Istiaq Ahmed
Istiaq Ahmed

Istiaq Ahmed

  • Research Assistant, HCI Wing

Published at

CHI, HCII

Research Interests

mHealth, Human-Computer Interaction, Cross-Platform App/Website Development

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

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