Video Consumption Patterns for First Time Smartphone Users: Community Health Workers in Lesotho

There is already strong evidence that mobile videos are a good vehicle for public health information dissemination, but there remain open questions around sustainability, appropriate target users, consumption patterns, content, and usage models. We analyse log and interview data of 42 community health workers (who were first time smartphone users) from a longitudinal 17-month deployment to better understand how the utility of mobile videos played out over time in rural Lesotho. During the study period, videos were viewed at an average of 170 times per month, for a total of 2898 views. Through this data we draw these primary findings: a) pausing is not contextually necessary, b) age is not a barrier to usage, c) the primary predictor of popularity of a given video is topical relevance and national campaigns, d) there is no apparent relationship between video length, popularity and completion rates, and e) new videos have only a short-lived novelty effect. Furthermore, we affirm that regular engagement with CHWs has an impact on continued usage, in addition to being important for reducing attrition due to technical issues

A Comparison of Interactive Shadows and Multi-View Layouts for Mouse-based 3D Modelling

3D user interfaces allow users to view and interact with objects in a 3D scene and form a key component in many modelling applications used in engineering, medicine and design. Most mouse-based interfaces follow the same multi-view layout (three orthogonal, one perspective). This interface is difficult to understand, as it requires users to integrate all four views and build a 3D mental model. An alternative, Interactive Shadows, has been previously proposed that could improve on the multi-view's shortcomings but has never been formally tested. This paper presents the first quantitative user evaluation (n = 36) of both the multi-view and interactive shadows interfaces to compare their relative effectiveness and usability. Participants completed three types of tasks designed to be representative of object manipulation in current 3D modelling software. Interactive shadows were significantly better (p < 0,05) for tasks requiring participants to estimate distance. This suggests interactive shadows interface might better help users approximate relative object positioning

Evaluation of a Runyankore grammar engine for healthcare messages

Natural Language Generation (NLG) can be used to generate personalized health information, which is especially useful when provided in one's own language. However, the NLG technique widely used in different domains and languages---templates---was shown to be inapplicable to Bantu languages, due to their characteristic agglutinative structure. We present here our use of the grammar engine NLG technique to generate text in Runyankore, a Bantu language indigenous to Uganda. Our grammar engine adds to previous work in this field with new rules for cardinality constraints, prepositions in roles, the passive, and phonological conditioning. We evaluated the generated text with linguists and non-linguists, who regarded most text as grammatically correct and understandable; and over 60\% of them regarded all the text generated by our system to have been authored by a human being

USSD: The Third Universal App

In this paper we argue for the use of Unstructured Supplementary Service Data (USSD) as a platform for universal cell phone applications. We examine over a decade of ICT4D research, analyzing how USSD can extend and complement current uses of IVR and SMS for data collection, messaging, information access, social networking and complex user initiated transactions. Based on these findings we identify situations when a mobile based project should consider using USSD with increasingly common third party gateways over other mediums. This analysis also motivates the design and implementation of an open source library for rapid development of USSD applications. Finally, we explore three USSD use cases, demonstrating how USSD opens up a design space not available with IVR or SMS

Supporting Community Health Workers in India through Voice- and Web-Based Feedback

Our research aims to support community health workers (CHWs) in low-resource settings by providing them with personalized information regarding their work. This information is delivered through a combination of voice- and web-based feedback that is derived from data already collected by CHWs. We describe the in situ participatory design approach used to create usable and appropriate feedback for low-literate CHWs and present usage data from a 12-month study with 71 CHWs in India. We show how the system supported and motivated CHWs, and how they used both the web- and voice-based systems, and each of the visualizations, for different reasons. We also show that the comparative feedback provided by the system introduced elements of competition that discouraged some CHWs while motivating others. Taken together, our findings suggest that providing personalized voice- and web-based feedback could be an effective way to support and motivate CHWs in low-resource settings

Evaluation of mHealth strategies to optimize adherence and efficacy of Option B+ prevention of mother-to-child HIV transmission: Rationale, design and methods of a 3-armed randomized controlled trial

Background Lifelong antiretroviral therapy (ART) (Option B+) is recommended for all HIV-infected pregnant/postpartum women, but high adherence is required to maximize HIV prevention potential and maintain maternal health. Mobile health (mHealth) interventions may provide treatment adherence support for women during, and beyond, the pregnancy and postpartum periods. Methods and design We are conducting an unblinded, triple-arm randomized clinical trial (Mobile WACh X) of one-way short message service (SMS) vs. two-way SMS vs. control (no SMS) to improve maternal ART adherence and retention in care by 2 years postpartum. We will enroll 825 women from Nairobi and Western Kenya. Women in the intervention arms receive weekly, semi-automated motivational and educational SMS and visit reminders via an interactive, human-computer hybrid communication system. Participants in the two-way SMS arm are also asked to respond to a question related to the message. SMS are based in behavioral theory, are tailored to participant characteristics through SMS tracks, and are timed along the pregnancy/postpartum continuum. After enrollment, follow-up visits are scheduled at 6 weeks; 6, 12, 18, and 24 months postpartum. The primary outcomes, virological failure (HIV viral load ≥ 1000 copies/mL), maternal retention in care, and infant HIV infection or death, will be compared in an intent to treat analysis. We will also measure ART adherence and drug resistance. Discussion Personalized and tailored SMS to support HIV-infected women during and after pregnancy may be an effective strategy to motivate women to adhere to ART and remain in care and improve maternal and infant outcomes