Developing Preliminary Heuristics for In-Vehicle Ambient Intelligence Systems

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.

Publication Details

Journal
Repository@Nottingham (University of Nottingham)
Published
2025-04-28
Primary Topic
Magnetic confinement fusion research
Type
article
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article

Developing Preliminary Heuristics for In-Vehicle Ambient Intelligence Systems

Repository@Nottingham (University of Nottingham)
Magnetic confinement fusion research
article

Developing Preliminary Heuristics for In-Vehicle Ambient Intelligence Systems

article en

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.

Repository@Nottingham (University of Nottingham)
Openalex Percentile: Top 69%
Magnetic confinement fusion research
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