RXRComing Soon

Robotic Experience Researcher

For UX researchers and service designers studying how people behave around robots. Observation methods, study design in physical environments, and synthesizing findings for mixed teams.

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FormatFive-week hybrid programme. Four self-paced modules followed by a research presentation.
Duration5 weeks · 14 hours total · 2 live research sessions
ForUX researchers, service designers, design researchers, and social scientists studying human behaviour in environments that include robotic systems.

Overview

The RXR credential is for researchers who need to study humans in robotic environments — and communicate what they find to teams that include engineers, designers, and business leaders. It covers the specific methodological challenges of doing research in physical, mixed human-robot spaces.

Curriculum

4.1

Research Methods in Physical Robotic Environments

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How standard UX research methods adapt — and where they break — in environments with moving, autonomous machines. Observation protocols, safety considerations, and study design.

4.2

Behavioural Patterns in Human-Robot Proximity

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What the research literature tells us about how humans behave near robots — and how to design studies that surface new findings rather than confirming assumptions.

4.3

Synthesising & Communicating Findings

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How to translate research findings for mixed audiences — engineers who want data, designers who want insight, and executives who want implications.

4.4

Research Presentation & Peer Review

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Capstone: present original research findings from a physical or simulated robotic environment. Earn your RXR credential.

What you'll be able to do

  • Design and conduct observational research in physical robotic environments
  • Apply and adapt established UX research methods to human-robot interaction contexts
  • Synthesise findings into actionable recommendations for mixed engineering and design teams
  • Communicate research insights effectively to non-researcher audiences
  • Build a research portfolio demonstrating robotic experience research capability