About
We have been commercializing predictive attention software with the help of angel investors, commercial revenue, and small business innovation research (SBIR) awards. Our R&D efforts to improve health and licensed merchandising solution are showcased below the list of SBIR awards.
Health
We aim to improve intervention decisions for people with emotional and cognitive symptoms—common in neurological and psychiatric conditions. Scientific studies indicate that such symptoms arise from mental dysfunction across emotional, cognitive, or sensorimotor domains. However, existing clinical practice "algorithms" tend to manage symptoms through trial-and-error of possible interventions without utilizing objective tests of mental dysfunction. In practice, many people get mis-treated or under-treated, resulting in poor outcomes and high costs. We have been developing and validating behavioral batteries designed to prioritize intervention targets by the type and severity of mental dysfunction in tested individuals. If better intervention decisions are made after integrating Eye Predict reports with independent clinical information, the expected benefits are better patient outcomes and lower costs.
Value Proposition: Improve Decision Making
Eye Predict test batteries quantify attention deployment patterns that reflect mental dysfunction. This approach is motivated by the observation that paying attention to the right thing at the right time is critical for learning and survival in complex environments. Attention deployment is a precious resource tightly controlled by interactions between emotional, cognitive, and sensorimotor functions. Impairments in these mental functions can be quantified by challenging attention deployment and measuring associated patterns using precise yet noninvasive tools, such as eye trackers. See below representative eyegaze patterns from our case-control studies.
Our SBIR-reviewed case-control studies found 96% sensitivity [95% CI 83-100] and 87% specificity [95% CI 67-100], establishing feasibility and justifying larger R&D investments.
Commerce
We leveraged predictive attention models to provide merchandising solutions. First, we established the feasibility of predicting what visual elements are likely to get noticed first by comparing our model predictions to visual engagement as measured by eye tracking and mouse clicks. This proof-of-concept led us to commercialize Place Gage—a software-as-a-service solution that predicts visual engagement. To use it, customers upload an image, mark items of interest, and receive reports with Place Gage scores:
| Item | Score | Meaning |
| 1. Face | 100 | Very likely to get noticed |
| 2. Van | 66 | Likely to get noticed |
| 3. Plate | 49 | May or may not get noticed |
| 4. Magnum | 40 | Likely not to get noticed |
| 5. Road | 14 | Very likely not to get noticed |
Place Gage is useful for evaluating the likelihood of “mental clicks” with visual items: products on store shelves or in catalogs, logos in print or outdoor ads, virtual goods, etc. Customers included a Fortune 500 packaging company that offered to license the underlying technology, a multinational market research firm, a multinational produce seller, a national sporting goods chain, a consumer research consultancy, and others.
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Market demand for more actionable information than mere predictions led us to develop EP flow: a software solution that enhances viewer engagement with relevant items by re-positioning them on webpages based on attention predictions. Item relevance is defined by web merchants according to what consumers wish to buy (ex: as indicated by purchase history) and other considerations (ex: profit margin). EP flow performs directed search through a large number of candidate layouts, using Place Gage as an internal engine to assess each layout and maximize the likelihood that the most relevant items will get noticed.
A/B tests found strong lifts in key performance indicators (ex: 175% higher click-through rate), and in 2016 we licensed our software to an international web merchant that has been in business for >20 years. More information is provided in the videos below and on VentureBeat.
Bonus Videos
DEMO Presentation
DEMO Interview
Where The Eyes Go
Careers
Software Developers — we want more of you! Join an inter-disciplinary team whose mission is to improve intervention decisions for people with emotional and cognitive symptoms. Your day-to-day activities will focus on developing a novel test battery based on visual stimuli and touch responses. We are open to candidates with diverse backgrounds, from graduating students to seasoned professionals.
Framework
We focus on deliverables and timeframes, so your schedule and work environment would be flexible.
- Location: anywhere USA
- Scope: part-time => full-time
- Compensation: cash and equity
Apply
Email us two paragraphs describing your motivation and qualifications along with a one-page resume.
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