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XPRESS ENGINE - The Future of Affective Market Research

Objective

Focus group market research recruit persons to watch advertisements for products that fit their demographic and give their opinion. Current focus groups require large mobilization of resources (venue, staff, equipment, targets, analysts) and face a common problem with target positive bias which makes the costly focus group results unreliable for assessing true consumer acceptance.
Xpress Engine proposes a solution to transform the current model of focus groups, offering more reliable results at lower cost through disruptive innovation in emotion analytics. How? By detecting involuntary emotional response in real time and completely bypassing any bias, positive or negative, and by allowing the entire focus group to be performed without mobilizing any resources.
The revolutionary Xpress Engine emotion recognition system detects emotions in real time by processing expressions in response to stimuli, achieving a detection accuracy of 95% with the six principal emotions and allowing the focus group to be done online with mobile or laptop, with targets registering their real time emotional response to a video or presentation from the comfort of their homes.
Market research groups excited about Xpress Engine because it will add value to their current services and create opportunities for new services, revenue sources and growth. Studies show that the more emotions appear in the ad, the better it is remembered and the greater consumer involvement it generates. The key is in the real time detection, which allows the “flow of emotions” to be mapped and analysed.
Emotion awareness is a new frontier in ICT development and the platforms being developed today will pave the way for an explosion of innovative applications. Having validated our system as a mobile service platform, we propose to change the rules of focus group market research and create new growth opportunities through replication in other markets including medical, retail, online training and others.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-SMEInst-2014-2015

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Coordinator

QUANTUM LAB POLAND SP ZOO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
UL. LEBORSKA 3B
80 386 GDANSK
Poland

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Makroregion północny Pomorskie Trójmiejski
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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