Developing Preliminary Heuristics for In-Vehicle Ambient Intelligence Systems

Pande, Shriya; Harvey, Catherine; Large, David

Abstract

This study aimed to develop heuristics for designing and evaluating in-vehicle Ambient Intelligence (AmI) systems. Utilising an expert focus group (n=3) and a user study (n=8), 15 preliminary heuristics were derived. These aim to ensure that in-vehicle AmI enhances the driving experience by fostering driver wellbeing and a positive user experience, whilst minimising distraction.

Citation

Pande, S., Harvey, C., & Large, D. (2025, April). Developing Preliminary Heuristics for In-Vehicle Ambient Intelligence Systems. Presented at Ergonomics & Human Factors 2025, Burton upon Trent, UK

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Ergonomics & Human Factors 2025
• Start Date: Apr 28, 2025
• End Date: Apr 30, 2025
• Acceptance Date: Jan 17, 2025
• Deposit Date: Feb 3, 2025
• Peer Reviewed: Peer Reviewed
• Public URL: https://nottingham-repository.worktribe.com/output/45034731
• External URL: https://ergonomics.org.uk/events-calendar/ergonomics-human-factors-2025.html