Adaptive Dark Mode: Investigating Text and Transparency of Windshield Display Content for Automated Driving

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

6 Zitate (Scopus)

Abstract

Windshield displays are a promising technology for automotive application. In combination with the emergence of highly automated vehicles, chances are that work-related activities will become more popular on the daily commute to and from work. While windshield displays can show content relevant for non-driving related activities, little information is available on how potential users would utilize these displays in terms of text and background color as well as transparency usage. In this paper, we present the results of two user studies (pilot study: N = 10, main study: N = 20) addressing this issue. Findings from quantitative measurements and qualitative pre-/post study surveys and interviews suggest a strong preference for the chat window being located on the driver side presented in dark mode with adaptive background transparency levels based on the luminance of the outside environment.
OriginalspracheEnglisch
TitelProceedings of the 19th German HCI Conference (MuC 2019)
Herausgeber (Verlag)ACM Press
Seiten421-428
Seitenumfang8
DOIs
PublikationsstatusVeröffentlicht - 2019
Veranstaltung19th German HCI Conference (MuC 2019) - Hamburg, Deutschland
Dauer: 8 Sep. 201911 Sep. 2019
https://muc2019.mensch-und-computer.de/

Publikationsreihe

NameLecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
Herausgeber (Verlag)Gesellschaft fur Informatik (GI)
ISSN (Print)1617-5468

Konferenz

Konferenz19th German HCI Conference (MuC 2019)
Land/GebietDeutschland
OrtHamburg
Zeitraum08.09.201911.09.2019
Internetadresse

Schlagwörter

  • visual aesthetics
  • dark mode
  • automated driving
  • chat application
  • windshield display
  • user study

Fingerprint

Untersuchen Sie die Forschungsthemen von „Adaptive Dark Mode: Investigating Text and Transparency of Windshield Display Content for Automated Driving“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren