HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution.

Weizhe Chen, Wei Liu*

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication

Abstract

This paper provides an overview of the predictable possibilities and opportunities of autonomous human-computer interaction design offered by studying the driver’s attention distribution. We examined attention distribution from novice to advanced drivers and a visual experiment was conducted using stickers and camera to both quantify and qualify attention while participants were in a simulation auto-driving scenario. Thus, an consciousness hot-map could be determined by stickers’ distribution and eye-tracking data, which could contribute to interface design and its structure in autonomous driving vehicles.
Original languageEnglish
Title of host publicationHCI in Mobility, Transport, and Automotive Systems - 1st International Conference, MobiTAS 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsHeidi Krömker
PublisherSpringer
Pages92-102
Number of pages11
Volume11596
ISBN (Electronic)978-3-030-22666-4
ISBN (Print)978-3-030-22665-7
DOIs
Publication statusPublished - 18 Jun 2019
Event21ST INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION - Orlando, United States
Duration: 26 Jul 201931 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11596 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21ST INTERNATIONAL CONFERENCE ON HUMAN-COMPUTER INTERACTION
Country/TerritoryUnited States
CityOrlando
Period26/07/1931/07/19

Keywords

  • Autonomous driving
  • UX
  • User interface

Fingerprint

Dive into the research topics of 'HMI Design for Autonomous Cars: Investigating on Driver’s Attention Distribution.'. Together they form a unique fingerprint.

Cite this