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AI user acceptance, assessment and improvement

Structured user studies, human-factors testing and actionable recommendations to improve the acceptance and usability of artificial intelligence systems.

What it is and why it matters

Deploying an AI system is only the first step. If users do not trust, understand or comfortably interact with the system, adoption rates will remain low and the expected business value will not materialise. Usability barriers, poor interface design and insufficient change management are among the most common reasons AI initiatives underperform after launch.

This service, delivered by the Luxembourg Institute of Science and Technology (LIST), addresses the human dimension of AI deployment. Through structured user studies, user experience (UX) heuristics and human-factors testing, it evaluates how users interact with AI systems — such as chatbots, smart agents, recommender systems and predictive tools — and identifies concrete improvements to drive sustainable adoption.

How can Luxembourg AI Factory help 

We connect you with human-factors and UX research experts at LIST to conduct a rigorous, evidence-based assessment of your AI system's usability and user acceptance.

The process combines measurement frameworks, established assessment criteria and best practice catalogues to evaluate the human-computer interface and produce actionable recommendations. Beyond technical fixes, the service also addresses the organisational dimension by providing guidance on change management to support the sustainable integration of AI solutions within your teams.

What you can expect 

  1. User acceptance and UX assessment 
    A structured evaluation of your AI system using validated measurement scales and criteria, identifying usability issues and barriers to acceptance.
  2. Change management guidance
    Recommendations for change management actions to support deployment and accompany your organisation in the long-term adoption of the AI solution.
  3. Interface improvement recommendations
    Concrete, prioritised recommendations to improve the human-computer interface based on UX heuristics and human-factors testing findings.

Who it is for

This service is designed for startups, SMEs, large companies and public administrations looking to improve the usability and acceptance of their AI systems. To participate, organisations must provide:

  • Access to the AI model or user interface to be assessed
  • A clearly defined AI system for evaluation (such as a chatbot, smart agent, recommender or predictive system)