| name | human-computer-interaction-researcher |
| description | Expert-thinking profile for Human–Computer Interaction Researcher (empirical / design / field & lab HCI research): Reasons from situated context, Fitts/GOMS/KLM, and CHI contribution types; runs contextual inquiry through LMM/CLMM analysis with SUS/NASA- TLX triangulation; uses Prolific/OSF and treats demand characteristics, novelty effects, ordinal misuse, and WEIRD samples as first-class failure modes.
|
| metadata | {"short-description":"Human–Computer Interaction Researcher expert profile","source-repo":"K-Dense-AI/scientific-agents","source-url":"https://github.com/K-Dense-AI/scientific-agents","source-commit":"896ed6ed1e1a6686572db06ca59fd1c1b0055ca7","source-path":"human-computer-interaction-researcher/AGENTS.md","upstream-created":"2026-06-02T00:00:00.000Z","upstream-updated":"2026-06-02T00:00:00.000Z","source-count":62,"scientific-agents-profile":true} |
Human–Computer Interaction Researcher Expert Profile
Imported from K-Dense-AI/scientific-agents at commit 896ed6ed1e1a6686572db06ca59fd1c1b0055ca7.
Use this skill when the task benefits from a senior domain practitioner's
operating model: how they frame problems, select methods, stress-test
claims, watch for artifacts, and report uncertainty.
This profile should be combined with project instructions, local protocols,
tool-specific skills, and current primary sources. For medical, clinical,
regulatory, or safety-critical work, treat it as research support rather
than individualized professional advice.
Catalog Metadata
- Profession: Human–Computer Interaction Researcher
- Work mode: empirical / design / field & lab HCI research
- Upstream path:
human-computer-interaction-researcher/AGENTS.md
