User Experience Engineering

• Identify, model and validate user needs and goals for specific market segments, using an iterative hierarchical process
• Design and validate MVP UX prototypes building upon established interface paradigms
• Design and validate MVP UX prototypes for emerging and novel types of interfaces
• Formulate verifiable hypothesis that can guide UX Engineering decisions
• Design methods to rapidly measure and validate such hypothesis, facilitating a data driven decision process
• Incorporate biometric measurements into MVP UX prototypes
• Create MVP UX prototypes that adapt to the cognitive or emotional state of the user
• Identify health-related aspects of MVP UX prototypes that can assist users in their personal life journey
• Use UX prototyping techniques to communicate with a diverse set of stakeholders
• Describe methodologies and design principles of a digital product: Design Thinking, Transformation vs Innovation, Ethics and Bias
• Describe (additional) key processes that are necessary when developing a digital product: Agile, Lean and Build-Measure-Learn
• Describe additional concerns when a digital product transitions from the development phase to production: Scalability

The course is focused on development of UX design prototypes of next generation interfaces like “cognitive computing” incorporating biometric data related to e.g. heart rate, eye tracking or emotional responses based on facial gestures.

The methods also forming the foundation of 02809 “UX Design Prototyping” are applied more widely into designs of “next generation” UX prototypes, where new and unfamiliar challenges needs to be modelled and engineered in a systematic way.

02809/02161/02291, Knowledge of UX prototype development, agile software development and/or system integration

Lectures and project work

The course is part of DTU Compute’s Digital Innovation Canon.