Ongoing research · Complex systems
This ongoing research explores immersive and haptic technologies within complex training environments. My role focuses on building the evidence base, comparing technological approaches and defining rigorous evaluation methods to support subsequent research and development decisions.
Evidence review and technology comparison narrowing into questions, criteria, protocols and future evaluation.
Research challenge
These systems can combine different feedback modalities, interaction models, sensors and contexts of use. The research therefore needs to establish what approaches exist, what evidence supports them, how they can be compared and which human-centred measures are appropriate for subsequent evaluation. This is not a conventional usability study; it is the groundwork required to design subsequent empirical evaluation rigorously.
Research approach
Structured searches, evidence screening and synthesis establish which technologies, capabilities, limitations and evaluation methods are already documented.
Each approach is considered through interaction modality, feedback type, capability, limitation, integration needs, available evidence and suitable evaluation contexts.
Remaining questions inform scenarios, evaluation criteria, comparison conditions, protocol decisions and the selection of behavioural, physiological, self-reported and performance measures.
Research foundations
The review uses structured search strategies, evidence screening and synthesis to understand existing technologies, their capabilities and limitations, interaction and feedback approaches, previous evaluation methods and relevant human-centred outcomes.
The benchmark creates a shared description for technologies that are not directly equivalent.
The evidence gaps are translated into research questions, study scenarios, evaluation criteria, comparison conditions, protocol decisions and an appropriate set of measures. The design remains open to revision as the technology and research questions develop.
Evidence to evaluation
This simplified research flow shows how the current evidence base and benchmark inform questions, criteria, protocol decisions and the selection of measures for future empirical work.
Mixed evidence
Future studies may combine several measures, but not simply because they are available. Each source is selected for the part of the research question it can genuinely inform.
Behavioural data
Observable actions, adaptations, hesitation, coordination and interaction patterns in the study context.
Physiological measures
Signals selected only where their interpretation is justified and useful to the research question.
Self-reported measures
Perceived workload, comfort, confidence, presence or other experiences relevant to the study question.
Performance measures
Accuracy, timing, errors or other task measures defined for the comparison rather than assumed in advance.
Research principles
Before choosing a method, I ask what someone needs to decide with the result.
Current status / Next steps
The work to date has established an evidence base, a structured technology landscape, evaluation criteria, protocol structures and a framework for subsequent empirical studies. Those future studies are not presented here as completed work.