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Therapy Box Team

Recipient of a Queen's Award for Enterprise in the innovation category. Therapy Box has a track record of creating interesting new technology, and of finding new uses for established products. We seek to include surprising and helpful features in each new product or update that we release.


Therapy Box was built on innovation

If we are standing still, we are going backwards. Our founding principles were to use maintream technology for good. But often, state of the art is not enough. Thats the challenge we relish. We simply let our creativity run wild to imagine the best experiences for our users, then we innovate to deliver the ideas. We do that successfully with the varied skills and the up to date knowledge in tech, partnering with research organisations big and small; individual hackers to tech giants. We just don't stop until we deliver the vision we set out and along the way, we build that doesnt exist. We call that innovation.

Word Prediction

Predictable was the first AAC app on the Apple app store with inbuilt, self-learning word prediction. With a keyboard and word prediction app, users with higher cognitive function had access to their whole vocabulary range, without the limitations of the other apps available at the time. NP Word prediction inside Predictable has grown stronger and Therapy Box has added double word prediction, editing options, autocomplete, autocorrect and dyslexia support into its proprietary word prediction engine.

Speech recognition

Mainstream speech recognition does not work with dysarthric speakers, leaving a significant portion of people with disabilities unable to access their device in a way that should be both quick and simple. NP In its VocaTempo project, Therapy Box is working with the University of Sheffield and with Barnsley Hospital to develop an app which can be trained to recognise dysarthric speech. Currently undergoing tests with end users, this project will make it easier for people with disabilities to access their devices. Dysarthric speech recognition technology has many potential applications in communication, accessibility and articulation rehabilitation, which Therapy Box is committed to exploring in the coming months and years.

Eye tracking

Eye tracking has traditionally required expensive hardware and relies on mouse emulation, which limited the number of devices on which it could be used. Therapy Box is in the process of developing eye tracking software which relies solely on a device’s front facing camera. This will allow people with disabilities to interact with their devices more easily and at a lower cost than ever before. Compatibility will no longer be an issue, offering users a greater choice over their preferred device. NP Therapy Box will include device camera eye-tracking in the START project (being developed in partnership with the University of Reading), and will continue to refine its own eye-gaze system for use inside it’s in-house range of AAC apps.

Screening tools to include machine learning

The diagnosis of many conditions relies on screening tests which are carried out by professionals, who have to review sessions after the fact. They are also required to take down a lot of notes, either during the session, (reducing patient interaction at the time) or afterwards (consuming more time in the long run). NP Several of Therapy Box’s current projects utilise existing software solutions to partially or fully automate screening tests, allowing professionals to interact more with their patients during sessions, making screening tests simpler to administer, and reducing the amount of time spent reviewing or transcribing tests subsequently. This gives professionals more time to spend face to face with clients. NP Where there is no existing technology to improve the screening process, Therapy Box is currently researching and developing new software to implement, through machine learning.