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Good practice Imported

DE-ENIGMA

Netherlands · Enschede · Transnational · See the Netherlands profile

Evidence: Descriptive / self-reported Top 56% 60/100 · Ask Evidence Copilot about this practice

The DE-ENIGMA project is developing artificial intelligence for a commercial robot (Robokind’s Zeno). The robot will be used for an emotion-recognition and emotion-expression teaching programme to school-aged autistic children. This approach combines the most common interests of

128 children
Children reached (2016-2019)

Details

Maturity
Discontinued
Promoter
University of Twente — website
Type
Service
Status
Ended
Target groups
Marginalised young people and children
People reached
128
People targeted
128
Period
2016-02-01 – 2019-12-01
Region (NUTS)
NL21
Keywords
Digital inclusion, artificial intelligence, technology, emotions, children, robot

Context

Autism affects around 5 million children in Europe, particularly their communication and interaction skills, including difficulties recognising and expressing emotions. Conventionally, foundational skills like emotion recognition are taught face-to-face with an adult; the EU-funded Horizon 2020 project DE-ENIGMA developed a less socially demanding and more entertaining alternative using artificial intelligence.

Activities

DE-ENIGMA developed artificial intelligence for a commercial robot (Robokind's Zeno), used for an emotion-recognition and emotion-expression teaching programme with school-aged autistic children, combining technology, a cartoon-like robot character and peer socialising. Across several design phases, Zeno was made progressively 'smarter', processing children's motions, vocalisations and facial expressions to adaptively and autonomously present emotion activities and engage in feedback, support and play. The project was coordinated by the University of Twente, with partners including Imperial College London, University of Passau, the Institute of Mathematics of the Romanian Academy, University College London, the Serbian Society of Autism, Autism Europe, IDMIND and the University of Augsburg.

Implementation

Indicative cost
High (€500k–€5M) — No budget figures stated; scored high given a 9-partner, multi-country Horizon 2020 consortium (55 operational staff reported) developing custom robot hardware and AI.
Time to results
Medium (1–3 years) — 4-year Horizon 2020 project, February 2016 – December 2019.
Staffing & skills
University of Twente (project coordinator), Imperial College London, University of Passau, Institute of Mathematics of the Romanian Academy, University College London, Serbian Society of Autism, Autism Europe, IDMIND, University of Augsburg

Conditions for success

  • Combines technology, a familiar cartoon-like robot design (Zeno) and peer socialising to lower the social demands of emotion-recognition teaching
  • Iterative, multi-phase design of the robot's AI to progressively improve responsiveness to children's motions, vocalisations and facial expressions

Common failure modes

  • No confirmed continuation beyond the Horizon 2020 funding period (project status: Ended, December 2019)

Commonly funded by

Horizon Europe

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

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