Problem
Rigour at scale
Researchers studying human-AI interaction need to capture, code and analyse cognitive and behavioural dynamics of AI-mediated work at a level of granularity and rigour that general analytics tools don't support.
Use Case
Human-AI Interaction Research
Study offloading, reasoning, cognitive acts and AI-mediated workflows.
The use case
Capturing, coding and analysing the cognitive and behavioural dynamics of AI-mediated work at research rigour.
Workflow
Structured behavioural coding
Capture interaction sessions in Captures. Define coding schemes for cognitive acts, offloading behaviours and reasoning patterns in Library. Use Observatory to run behavioural coding at scale across session corpora.
Assurance
Publication-ready evidence
Coding scheme versions are preserved and auditable. Multiple coding runs can be compared to support inter-rater reliability analysis. All inference records can be exported for use in publications and reports.