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XPRESS ENGINE - The Future of Affective Market Research


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.

Field of science

  • /social sciences/economics and business/business and management/commerce
  • /social sciences/sociology/governance/public services

Call for proposal

See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1


Ul. Leborska 3B
80 386 Gdansk
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000