Ensuring good health goes beyond following a prescribed treatment regimen and requires a deeper insight into how contextual factors from everyday activities correlate and impact health. "HealthTrack" attempts to answer questions on the relationship between activity and wellbeing by providing self-reflection following pattern analysis of contextual and health data. The solution considers a target population of older adults with one or more long-term health conditions. It aims to provide a comprehensive tool that allows easy and effective logging as well as self-reflection on health condition over a period of time.
Ryan Ahmed (independent capstone project).
Combine personal informatics and diagnostic data to provide health insights in management of chronic health conditions.
Inclusive design to support older adult user demography.
Minimize user tasks with data input through shared connectivity between devices and platforms.
Provide easy and alternate input methods with intelligent auto-complete suggestions.
Literature review, surveys and interviews were used to collect insights into the problem space. Data was also collected to understand user expectations and general attitude toward at-home management of chronic diseases, drug adherence and usefulness of trend reports. Participatory design was conducted to inform information architecture (system map).
Personas and user stories were developed based on collected data. Design goals to support discovered user needs were defined.
The iterative user-centered design process included conceptual sketches, paper prototyping, low-fidelity interactive prototyping and finally a high-fidelity prototyping to support ideation validated by evaluative research.
An early interactive HTML prototype was developed using ProtoShare to collect feedback through usability evaluation. An improved interactive prototype was later developed using Axure RP for both web and mobile platforms, incorporating feedback and evaluation findings from previous phases of design.
An initial cognitive walkthrough and two rounds of usability testing provided concept validation and measured effectiveness of the design.
Cognitive walkthrough using the initial mobile app prototype was conducted with 1 domain expert and 1 UX expert following semi-structured interviews.
Usability testing in both rounds utilized scripted scenario-based tasks to report task success, Single Use Question (SEQ) to report task ease and a semi-structured interview to report qualitative feedback.
Project was presented at 2015 Indiana University Capstones and a final report was compiled. No functional app was developed.