{'fraction_non_alphanumeric': 0.013474494706448507, 'fraction_numerical': 0.0, 'mean_word_length': 5.011560693641618, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
An Ontological Approach to Inform HMI Designs for Minimising Driver Distractions with ADAS

ADAS (Advanced Driver Assistance Systems) are in-vehicle systems designed to enhance driving 
safety and efficiency as well as comfort for drivers in the driving process. Recent studies have 
noticed that when Human Machine Interface (HMI) is not designed properly, an ADAS can cause 
distraction which would affect its usage and even lead to safety issues. Current understanding of 
these issues is limited to the context-dependent nature of such systems. This paper reports the 
development of a holistic conceptualisation of how drivers interact with ADAS and how such 
interaction could lead to potential distraction. This is done taking an ontological approach to 
contextualise the potential distraction, driving tasks and user interactions centred on the use of 
ADAS. Example scenarios are also given to demonstrate how the developed ontology can be used 
to deduce rules for identifying distraction from ADAS and informing future designs.