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Jamie’s Vision and Career Path

Jamie is leading the way in integrating XR technologies into industrial processes. With a strong foundation in mechanical engineering and creative computing, Jamie has dedicated their career to designing innovative XR solutions that optimise efficiency and provide immersive user experiences. During GRACE, Jamie developed an AR-powered predictive maintenance tool that revolutionised factory operations. Now working as a senior engineer at a global industrial firm, Jamie applies their multidisciplinary expertise to tackle complex challenges and shape the future of smart engineering.

Jamie's Values

Jamie’s career is driven by a set of principles that reflect both professional and personal commitments.

  • Sustainability and efficiency guide Jamie’s work, ensuring that technological solutions not only optimise industrial processes but also minimise environmental impact.
  • Collaboration is central to Jamie’s approach, thriving in multidisciplinary teams where diverse perspectives lead to innovative problem-solving.
  • Empowerment and user-centred design are priorities, ensuring that XR solutions are intuitive, accessible, and empowering for employees in industrial environments.

Jamie's Role Model

Jamie finds inspiration in individuals who combine technical expertise with a vision for a sustainable future. Katherine Johnson, whose precision and brilliance in mathematical problem-solving during NASA’s space missions resonate deeply with Jamie’s methodical and impactful work ethic.

"You have to work hard to get to the top, and once you’re there, you must work even harder to stay there."
Katherine Johnson
1918 - 2020

Jamie’s Path Through GRACE

Location: St. Pölten UAS, Austria
Focus: Establishing the foundation and preparing a project proposal.

  • Path to Reality: Exposé
    Jamie identifies a project topic focused on developing an XR-based maintenance training solution for complex industrial machinery. A cooperation agreement with an industry mentor is secured, and measurable goals are defined.
  • Design & Innovation
    The Innovation & Creative Problem Solving course equips Jamie with tools to ideate and conceptualize innovative XR-based solutions for industrial processes.
  • Didactics and Gamification
    The Augmented and Virtual Reality in Health, Industry, and Education module introduces XR applications in industrial training, sparking ideas for immersive learning environments.
  • Development and Implementation
    Sessions in Applied Artificial Intelligence introduce AI techniques for predictive maintenance and adaptive XR environments.
  • Evaluation and Dissemination
    The Bootcamp on the EntreComp framework helps Jamie align project goals with real-world industry needs and entrepreneurial strategies.

Deliverables

  1. A project exposé outlining the XR-based training solution’s objectives, scope, and initial concept.
  2. A state-of-the-art report on XR solutions in industrial training and maintenance.
  3. A presentation to lecturers, peers, and the industry mentor for feedback.

Support

  • Regular study coach sessions to refine the project focus and address challenges.
  • Scheduled meetings (minimum of three) with the industry mentor to discuss project goals and feasibility.

Location: Saxion UAS, The Netherlands
Focus: Building and testing an initial prototype.

  • Path to Reality: Low-Fidelity Prototype
    Jamie creates a low-fidelity prototype of the XR-based training tool, integrating basic features like virtual tutorials and machine diagnostics simulations.
  • Design & Innovation
    The Design & Implementation of XR Learning Experiences module helps Jamie create intuitive and interactive training environments for industrial workers.
  • Didactics and Gamification
    The Principles of Gamification Design course supports the integration of gamified elements like reward systems and progress tracking.
  • Development and Implementation
    Practical sessions in Prototype Development focus on transforming initial concepts into functional prototypes.
  • Evaluation and Dissemination
    User feedback sessions evaluate the prototype’s usability, relevance, and engagement.

Deliverables

  1. A low-fidelity prototype tested with simulated users in an industrial context.
  2. A user feedback report with two feedback iterations.
  3. A presentation to lecturers, peers, and the industry mentor, highlighting progress and challenges.

Support

  • Study coach sessions for guidance on balancing project work and academic responsibilities.
  • Meetings (minimum of three) with the industry mentor to gather feedback on the prototype.

Location: Vidzeme UAS, Latvia
Focus: Refining the prototype into a high-fidelity, market-ready solution.

  • Path to Reality: High-Fidelity Prototype
    Jamie enhances the prototype, adding advanced features like real-time diagnostics, predictive analytics, and multi-language support. Collaboration with the industry mentor ensures alignment with industrial standards.
  • Design & Innovation
    Participation in a Hackathon helps Jamie gather rapid feedback and refine the prototype.
  • Didactics and Gamification
    Advanced modules in Usability Testing and Evaluation ensure the prototype meets industry expectations.
  • Development and Implementation
    Advanced technical sessions focus on integrating AI-based adaptive systems and enhancing user experience.
  • Evaluation and Dissemination
    Jamie documents the prototype’s effectiveness and explores strategies for deployment in industrial training.

Deliverables

  1. A high-fidelity prototype tested in a real-world industrial setting.
  2. A collaboration report summarizing interactions with industry stakeholders.
  3. A presentation showcasing usability data and scalability plans.

Support

  • Study coach sessions to align goals and refine the prototype.
  • Mentor meetings (minimum of three) to validate industrial applications and gather technical insights.

Location: Client Organisation or Healthcare Setting
Focus: Final testing, data collection, and thesis completion.

  • Path to Reality: Implementation and Evaluation
    Jamie conducts large-scale testing of the XR training tool in an industrial environment, gathering data on its usability and effectiveness.
  • Design & Innovation
    Workshops on Innovation Management help identify opportunities for scaling and commercializing the solution.
  • Didactics and Gamification
    Feedback from real-world testing is used to refine gamification elements and optimize training outcomes.
  • Development and Implementation
    Final technical sessions ensure the tool is robust and deployment-ready.
  • Evaluation and Dissemination
    Jamie completes a thesis documenting the project’s outcomes and broader implications for industrial training.

Deliverables

  1. A final thesis detailing the training tool’s development, testing, and effectiveness.
  2. A final product ready for market adoption.
  3. Participation in a final exhibition to showcase the project to lecturers, peers, and industry stakeholders.

Support

  • Final review sessions with the study coach to prepare for the thesis defense.
  • Mentor meetings (minimum of three) to ensure alignment with industry needs and finalize testing.

The Road Ahead

Jamie’s career is evolving with exciting prospects on the horizon.

Currently, Jamie is leading a project to implement AR-powered maintenance systems across multiple industrial sites, reducing downtime and increasing operational efficiency.

Looking to the future, Jamie is exploring the possibility of founding a start-up specialising in XR solutions for industrial applications. With their entrepreneurial mindset and technical expertise, Jamie aims to revolutionise industry operations, driving innovation and productivity while advancing sustainability goals.

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