Designing a graphical user interface for healthcare workers in rural India
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Using Mobile Phones for Secure, Distributed Document Processing in the Developing World
IEEE Pervasive Computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
E-imci: improving pediatric health care in low-income countries
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of IVR data collection UIs for untrained rural users
Proceedings of the First ACM Symposium on Computing for Development
Designing mobile interfaces for novice and low-literacy users
ACM Transactions on Computer-Human Interaction (TOCHI)
Context guided and personalized activity classification system
Proceedings of the 2nd Conference on Wireless Health
Automated quality control for mobile data collection
Proceedings of the 2nd ACM Symposium on Computing for Development
Shreddr: pipelined paper digitization for low-resource organizations
Proceedings of the 2nd ACM Symposium on Computing for Development
A voice service for user feedback on school meals
Proceedings of the 2nd ACM Symposium on Computing for Development
Experiences with bulk SMS for health financing in Uganda
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Using mobile phones and open source tools to empower social workers in Tanzania
Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development
Open data kit: tools to build information services for developing regions
Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development
Managing microfinance with paper, pen and digital slate
Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development
The human infrastructure of ICTD
Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development
Combating rural child malnutrition through inexpensive mobile phones
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
Man versus machine: evaluating IVR versus a live operator for phone surveys in India
Proceedings of the 3rd ACM Symposium on Computing for Development
Proceedings of the 3rd ACM Symposium on Computing for Development
Towards operationalizing outlier detection in community health programs
Proceedings of the Sixth International Conference on Information and Communications Technologies and Development: Notes - Volume 2
Simplifying and improving mobile based data collection
Proceedings of the Sixth International Conference on Information and Communications Technologies and Development: Notes - Volume 2
Reflections on HCI for development
interactions
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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While mobile phones have found broad application in reporting health, financial, and environmental data, there has been little study of the possible errors incurred during mobile data collection. This paper provides the first (to our knowledge) quantitative evaluation of data entry accuracy on mobile phones in a resource-poor setting. Via a study of 13 users in Gujarat, India, we evaluated three user interfaces: 1) electronic forms, containing numeric fields and multiple-choice menus, 2) SMS, where users enter delimited text messages according to printed cue cards, and 3) voice, where users call an operator and dictate the data in real-time. Our results indicate error rates (per datum entered) of 4.2% for electronic forms, 4.8% for SMS, and 0.45% for voice. These results caused us to migrate our own initiative (a tuberculosis treatment program in rural India) from electronic forms to voice, in order to avoid errors on critical health data. While our study has some limitations, including varied backgrounds and training of participants, it suggests that some care is needed in deploying electronic interfaces in resource-poor settings. Further, it raises the possibility of using voice as a low-tech, high-accuracy, and cost-effective interface for mobile data collection.