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EyeTrack

Financiado

Cerrado

DISRUPTIVE EYE TRACKING FOR MOBILE EXPERIENCE OPTIMISATION

The EyeTrack project develops the first eye-tracking system truly adapted to mobile usages and seamlessly combined with a user-testing environment accessible to every digital team. Measuring visual attention in mobile usage is hig... ver más

29/02/2016

MATCHIC LABS

71K€

Presupuesto del proyecto: 71K€

Líder del proyecto

MATCHIC LABS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2016-02-29

ICT-37-2015-1: Open Disruptive Innovation Scheme (...

I+D

Cerrada hace 9 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

MATCHIC LABS

50.00K€ | Lider

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Duración del proyecto: 6 meses Fecha Inicio: 2015-08-19
Fecha Fin: 2016-02-29

Líder del proyecto

MATCHIC LABS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 71K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The EyeTrack project develops the first eye-tracking system truly adapted to mobile usages and seamlessly combined with a user-testing environment accessible to every digital team. Measuring visual attention in mobile usage is highly challenging. Optimising user experience of a mobile application during agile development implies testing the app in the wild, with real users. It requires methodology to measure observable interaction issues, and adapted technology to detect issues from visual interactions with the digital content (where people look is undetectable by direct observation of users). Mobile user experience is one of the biggest challenges that faces every app launched on the market. However thousands of digital project teams lack reliable tools to optimise their work and reduce testing costs, while hoping to trigger the right consumer behaviors. This market is partially addressed by eye-tracking solutions that are expensive, difficult to use, and offering limited capacity in terms of data analysis. Current systems for mobile devices are either stationary or inaccurate. Matchic Labs develops a new and accurate Eye-Tracking solution for Mobile Usage and Agile Testing, enabling development teams to easily build tests, collect data, and get results. Fast. Meant for field-testing with real users, it is built around an innovative eye-tracking system adapted to mobile usages: ultra light hardware, plus Software as a Service environment that analyses visual behaviors of panels of users. Digital teams will reduce project risk and improve their apps based on easy to understand analysis. The EyeTrack project is aimed at a €1B and fast growing market where ad agencies, user experience professionals, and mobile app developers require cost effective tools adapted to their digital project cycles. Phase 1 will tackle industrial feasibility, technical feasibility of eye-tracking in daylight, customer validation, and the development of a detailed business plan.

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