IRIS


A new interaction system for blind/low-vision rehabilitation at home



Fall 2020
Sponsored project
Collaborator - Ian Shei

UI/UX Design
User Research
Video Production



Blind/low-vision (BLV) occupational therapy helps patients adapt to their visions and aquire skills of activities of daily living (ADLs). However, occupational therapists can't be there for patients 24/7. Working with a BLV occupational therapist from the regional eye center, we designed IRIS for occupational therapists to generate and monitor patients' home exercises to reimagine BLV rehabilitation.

More about Iris at see-iris.com or Core 77 Design Award 2021.








Research



We conducted an observation of the full occupational therapy, and interviewed 3 stakeholders about their experiences in the BLV subject field. While the clinic training is well-designed to teach patients essential skills, patients get frustrated when they apply them at home because training is not always applicable in real life. All interviewees emphasized customizability, low intrusion and real-life practices.







Product System


We proposed a system that fosters intelligent home exercises monitoring for both occupational therapists and BLV patients. Using cloud service, we connect OTs’ platform and patients’ wearable trackers to share information of home exercises seamlessly.






Built upon the existing therapy paradigm, the new service system intends to create a positive feedback loop between the home exercise and clinic training sessions. It also fosters both synchronous and asynchronous feedback from OTs to patients.







User Journey




The patient’s journey starts with the first appointment with their occupational therapist.


Evaluate Conditions
As usual, the occupational therapist first evaluates patients' conditions by asking questions, and the system will generate recommended home exercises based on the evaluation.



Customize Exercises
The OT and the patient will then select and customize home exercises together, choosing appropriate assistive devices, situational tips and other conditions to better assist patients.



Upload to cloud
Now that the activities are selected, OT uploads the exercises to Iris Cloud and hands the wearable camera to the patito use it at home.

When the patient gets home, they feel confident to start the exercises using Iris wearable coach.


Activate The Device
To start the exercise,  the patient first monitor to see the tasks they are assigned. Once selected the exercise, the patient can clip the device to their head piece or their shirt, and press the start button to start exercising.





Assist Exercises
Using advanced image recognition technology, the device can recognize objects, tasks, environments, and provide tips when performing corresponding tasks.


Upload Recordings
Once finishing with the assigned exercises, the exercise recordings and any audio feedback will be shared with their therapist.




Before the next appointment, OT opens up the patient’s profile and reviews the exercise videos uploaded by patients.


Review Home Exercise
Video recordings are timestamped automatically based on the steps of the exercises. The occupational therapist can annotate on the video timeline about patients' performance. When the patient arrives, they can review the videos and notes together and discuss the next trainings.






Why Smart Wearable?


Compared to other attempts to improve real-life rehabilitation, our service combines sufficient monitoring in simulation exercise space and the lightweight of the AIRA app, in order to encourage patients’ independence.



As we validated our concepts with Holly, we believe our proposed BLV occupational therapy can offer great benefits to OTs’ existing practices.





Process


To progress from low-fi to mid-fi prototypes, we tested with OT Holly for concept validation. We also tested with peer designers from mid-fi to hi-fi to improve interface usability.