Intelligent driver profiling system for cars – a basic concept

Nermin Caber*, Patrick M. Langdon, P. John Clarkson

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)

Abstract

Many industries have been transformed by the provision of service solutions characterised by personalisation and customisation - most dramatically the development of the iPhone. Personalisation and customisation stand to make an impact on cars and mobility in comparable ways. The automobile industry has a major role to play in this change, with moves towards electric vehicles, autonomous cars, and car sharing as a service. These developments are likely to bring disruptive changes to the business of car manufacturers as well as to drivers. However, in the automobile industry, both the user’s preferences and demands and also safety issues need to be confronted since the frequent use of different makes and models of cars, implied by car sharing, entails several risks due to variations in car controls depending on the manufacturer. Two constituencies, in particular, are likely to experience even more difficulties than they already do at present, namely older people and those with capability variations. To overcome these challenges, and as a means to empower a wide car user base, the paper here presents a basic concept of an intelligent driver profiling system for cars: the system would enable various car characteristics to be tailored according to individual driver-dependent profiles. It is intended that wherever possible the system will personalise the characteristics of individual car components; where this is not possible, however, an initial customisation will be performed.

Original languageEnglish
Title of host publicationUniversal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Proceedings
EditorsMargherita Antona, Constantine Stephanidis
PublisherSpringer
Pages201-213
Number of pages13
ISBN (Print)9783319920511
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event12th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2018 Held as Part of HCI International 2018 - Las Vegas, United States
Duration: 15 Jul 201820 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10908 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2018 Held as Part of HCI International 2018
Country/TerritoryUnited States
CityLas Vegas
Period15/07/1820/07/18

Keywords

  • Advanced driver assistance systems
  • Automotive engineering and technology
  • Car driver profiling
  • Customisation
  • Human factors and ergonomics
  • Inclusive design
  • Personalisation

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