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VERSION:2.0
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X-WR-CALNAME:Appropriate Automation in AI-Assisted Usability Heuristic Gene
 ration: Comparing Human-AI Collaborative Workflows
BEGIN:VEVENT
UID:paper-session-1-ai-expertise-and-changing-practice-appropriate-automati
 on-in-ai-assisted-usability@britchi.uk
DTSTAMP:20261014T154232Z
DTSTART:20261102T114000Z
DTEND:20261102T115000Z
SUMMARY:Appropriate Automation in AI-Assisted Usability Heuristic Generatio
 n: Comparing Human-AI Collaborative Workflows
DESCRIPTION:BritCHI 2026 · Paper Session 1: AI\, Expertise and Changing Pr
 actice\nLi\, Hermawati\, Maior\nDomain-specific usability heuristics can b
 etter capture context-sensitive usability issues than general heuristics\,
  but their development and refinement remain resource-intensive. This stud
 y examined UX practitioners’ experiences of three human-AI workflows for
  generating and refining heuristics for automotive smart cockpit interface
 s. Thirty user experience (UX) practitioners used an artificial intelligen
 ce (AI) tool to generate an initial heuristic set and were assigned to one
  of three refinement workflows: continuous AI-assisted feedback and refine
 ment (G1)\, human expert feedback with manual refinement (G2)\, or human e
 xpert feedback with AI-assisted refinement (G3). No significant between-gr
 oup differences were found in overall workload\, trust or technology accep
 tance. However\, G3 participants reported higher mental demand than G2 par
 ticipants and higher temporal demand than G1 participants. Interview findi
 ngs indicated that AI supported early ideation and routine structuring\, w
 hereas AI-assisted refinement required prompt formulation\, output checkin
 g and decision validation. Participants valued workflows that preserved ex
 pert control\, enabled transparent review and retained human final judgeme
 nt. These findings suggest that AI can support early-stage heuristic gener
 ation\, while judgement-intensive refinement benefits from human control\,
  task-relevant transparency and expert review.
LOCATION:Brunel University London\, Kingston Lane\, Uxbridge UB8 3PH
URL:https://www.britchi.uk/programme/schedule/paper-session-1-ai-expertise-
 and-changing-practice/
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