Design a postural reminder system to provide real-time notifications and feedback about a user’s unhealthy posture, and encourage user to establish and maintain healthy posture.
Every inch of forward head posture can increase the weight of the head on the spine by 10 pounds. Habitually unhealthy posture can be very difficult to monitor and correct on one’s own.
1. Neck pain is correlated with prolonged Forward Head Posture. 2. Real-time personalized interventions about postural awareness are correlated with sustained postural gains and reported reduced pain.
- Suffer from frequent neck pain. - Often sit in a sedentary position (6+ hours/day). - Generally have an unhealthy posture. - Want to maintain a healthy posture.
- Prolonged mobile phone or laptop use - Sitting in lectures, meetings - Driving a bus - Working on a desk
We conducted task analysis and interviews with our target user type, that helped us derive our target personas.
Our research can be divided in two phases: 1. Reading papers and collecting data on the repercussions of forward neck posture, with supporting studies showing benefits of real-time postural interventions 2. Conducting interviews and task analysis of target demographic population
3. Conducting a market research on existing solutions to help tackle better posture maintainence
In our brainstorming sessions, our team came up with three main design alternatives to tackle the problem space.
A Google Glass application that gives posture feedback to the user on the Glass interface.
Body sensor that gathers posture information and sends it to a paired mobile phone application
A static chair brace sensor that collects posture information and sends it to a paired mobile phone or web application.
We used storyboards to depict our users using our three design alternatives .1. User using the google Glass Interface 2. User using the neck sensor with the mobile application
Based on the review we got from our peers on presenting our three alternatives at a demo session, we were suggested a fourth design alternative. The idea was to incorporate the body device sensor onto normal earphones to callibrate posture information.
4. Earphone Posture Sensor
After laying down all four design alternatives, we went back to our users and peers to rate the alternatives and give a reason for the same. Based on the user feedback and peer evaluation, the body sensor came out to be the most appreciated choice. We finalized our design to the body device and went ahead to make our application wireframes.
Wizard of Oz Technique Manual posture monitoring for 3 tasks: - Reading - Watching video - Writing
Chunked Qualitative Data by Responses
Going through the whole design process with final usability testing and deriving a
1. SUS score of 74.1 translating to a good - excellet usability
2. Overall positive open ended feedback from all of the 9 participants, on wanting to use such a system in their day to day, We dervived that the production of such a product could deem to be succesful. One of the primary feedbacks collected from the interviews was to ensure to construct the body device as small and unobtrusive as possible, and with good aesthetics.
We captured the whole case study in the form of a short paper that was accepted and presented at the ACM CHI Conference 2014 in Toronto, Canada . The project also secured a second place in the Student Design Competion at the same conference.
Shortly after our project culmination (post a year), we saw a new product released by Lumo Labs targeting neck posture, with a system similar to our design. The similarity is unrelated as these were both independent workings.