6 months ago
The Challenges are Online! Have fun !!!
AI in Immersive EnvironmentsChallenge 1 - Adaptive Training, Cross-Device
Design a cross-device XR training experience that uses AI to personalise human learning and includes multisensory feedback in real time, while predicting and optimising latency to keep immersion consistent.
Pick any learning context (e.g., hard skills, soft skills) and propose a user-centric pipeline: input signals (performance, errors, pace, optional biometrics), an adaptation policy, and, if possible, a lightweight prediction/optimisation loop that manages latency across VR/desktop/AR. Demonstrate how you’ll measure learning gains, and validate adaptation. Address ethics by design and sketch a business case. Deliver a prototype or mock-up and/or video (free of choice), your business case, evaluation metrics if relevant and an ethics brief.
Challenge 2 - Emotion-Aware, Responsible by Default
Create an emotion-aware XR environment that adapts content and agent behaviour responsibly within legal and ethical limits, demonstrating measurable user benefit and a credible path to economic value.
Choose a purpose and define an emotion inference approach that adapts ambience, pacing, or agent responses. Make safeguards explicit. Specify accuracy and harm-reduction criteria and outline beyond-compliance governance. Close with a succinct business model. Deliver a prototype or mock-up and/or video (free of choice), your business case, evaluation metrics if relevant and an ethics brief.
Social Agents in Immersive WorldChallenge 1 - Private-by-Design Self-Representation
Build a customizable avatar system that allows users to decide how they are represented (in terms of appearance, mood, and intention cues), while cryptographically separating their real-world identity from the avatar and ensuring bias-aware generation and responses.
Design an identity pipeline where a clear name is never involved in avatar generation and where bias checks are built in. Let users set a mood/intent scale that drives visual cues and agent reactions, with transparent indicators and an always-on “manual mode.” Define evaluation: privacy threat model, fairness metrics, and usability. Show business viability with at least one target segment and a lightweight compliance note. Deliver a prototype or mock-up and/or video (free of choice), your business case, evaluation metrics if relevant and an ethics brief.
Challenge 2 - Ethical Multi-Agent “Village”
Create a small, XR “village” where autonomous virtual agents (two or more) interact with each other and with humans under transparent social norms, demonstrating ethical behaviours, community health, and clear user value.
Specify agent roles, goals, and norms, and demonstrate how agents’ policies adapt while staying within the red lines. Include human-in-the-loop controls, event transparency, and safeguards for vulnerable states. Define evaluation: community metrics, user-centric outcomes, and simple safety telemetry. Outline a business case with a minimal pricing/deployment sketch. Deliver a prototype or mock-up and/or video (free of choice), your business case, evaluation metrics if relevant and an ethics brief.
Gamification in ARChallenge 1 - AR Safety Coach for High-Risk Work
Build an AR training + coaching experience that uses game mechanics to improve safe performance in high-risk settings (e.g., hiking, manufacturing, operating heavy machinery etc.) and proves measurable impact without compromising rights or safety.
Pick one scenario and map a pipeline from offline rehearsal to real-life assistance on phone/tablet/HMD. Use mechanics that reward correct processes over speed, and never gamify risk. Define evaluation and ethics by design. Close with a business sketch. Deliver a prototype or mock-up and/or video (free of choice), your business case, evaluation metrics if relevant and an ethics brief.
Challenge 2 - Everyday AR for Behavioural Transformation & Inclusion
Design an AR experience that gamifies pro-social behaviour in everyday apps to deliver a clear societal benefit and built-in inclusion - then show how you’ll measure and sustain that change.
Choose a domain and define mechanics that inform without manipulating. Bake in inclusion from day one and set evaluation targets. Cover ethics, and outline a business path. Deliver a prototype or mock-up and/or video (free of choice), your business case, evaluation metrics if relevant and an ethics brief.
