Reducing driver’s cognitive load with the use of artificial intelligence and augmented reality

Kweku F. Bram-Larbi, Vassilis Charissis, Ramesh Lagoo, Shu Wang, Soheeb Khan, Samar Altarteer, David K. Harrison, Dimitris Drikakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
235 Downloads (Pure)


Multiple infotainment sources can significantly overload the driver’s cognitive load and increase the collision probabilities. Current solutions provided have at-tempted to alleviate this issue with the centralization of infotainment devices to single touchscreen devices in the dashboard area. Yet this solution still requires the driver to take the eyes from the road and concentrate on operating the secondary tasks unrelated to the driving process. The paper presents a prototype Augmented Reality Head-Up Display (AR HUD) system that superimposes a selected number of infotainment data on the vehicle’s windshield only when this is safe for the driver. The selection of infotainment data and projection timing is calculated by a prototype Artificial Intelligence (AI) Co-Driver that aims to reduce the driver’s cognitive load. The proposed system was evaluated by 50 users against a typical touchscreen dashboard system. This work presents and discusses the subjective feedback related to the cognitive load that the users perceived during the trials. The paper concludes with a future plan for improving both the AI and AR HUD elements to perform in an urban environment.
Original languageEnglish
Title of host publication HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry
EditorsConstantine Stephanidis, Vincent G. Duffy, Heidi Krömker, Fiona Fui-Hoon Nah, Keng Siau, Gavriel Salvendy, June Wei
PublisherSpringer Nature
Number of pages11
ISBN (Electronic) 9783030909666
ISBN (Print)9783030909659
Publication statusPublished - 20 Nov 2021
EventHCI International 2021: 23rd International Conference on Human-Computer Interaction - Online event, Washington DC, United States
Duration: 24 Jul 202129 Jul 2021

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceHCI International 2021: 23rd International Conference on Human-Computer Interaction
Abbreviated titleHCII2021
Country/TerritoryUnited States
CityWashington DC
Internet address


  • cognitive load
  • augmented reality
  • virtual reality
  • artificial intelligence
  • driver distraction
  • simulation
  • head-up display
  • smart cities
  • user safety
  • user experience
  • human computer interaction
  • user evaluation

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Artificial Intelligence
  • Human-Computer Interaction
  • Transportation
  • Automotive Engineering
  • Safety Research
  • Computer Graphics and Computer-Aided Design
  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'Reducing driver’s cognitive load with the use of artificial intelligence and augmented reality'. Together they form a unique fingerprint.

Cite this