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

Andreas Ernst Riegler; Andreas Riener; Clemens Holzmann

doi:10.18420/muc2019-ws-612

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

Andreas Ernst Riegler, Andreas Riener, Clemens Holzmann

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

5 Citations (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.

Original language	English
Title of host publication	Proceedings of the 19th German HCI Conference (MuC 2019)
Publisher	ACM Press
Pages	421-428
Number of pages	8
DOIs	https://doi.org/10.18420/muc2019-ws-612
Publication status	Published - 2019
Event	19th German HCI Conference (MuC 2019) - Hamburg, Germany Duration: 8 Sept 2019 → 11 Sept 2019 https://muc2019.mensch-und-computer.de/

Publication series

Name	Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
Publisher	Gesellschaft fur Informatik (GI)
ISSN (Print)	1617-5468

Conference

Conference	19th German HCI Conference (MuC 2019)
Country/Territory	Germany
City	Hamburg
Period	08.09.2019 → 11.09.2019
Internet address	https://muc2019.mensch-und-computer.de/

Keywords

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

Access to Document

10.18420/muc2019-ws-612

Cite this

Riegler, A. E., Riener, A., & Holzmann, C. (2019). Adaptive Dark Mode: Investigating Text and Transparency of Windshield Display Content for Automated Driving. In Proceedings of the 19th German HCI Conference (MuC 2019) (pp. 421-428). (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)). ACM Press. https://doi.org/10.18420/muc2019-ws-612

@inproceedings{830d51bacbeb41778506695c8cef7faa,

title = "Adaptive Dark Mode: Investigating Text and Transparency of Windshield Display Content for Automated Driving",

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.",

keywords = "visual aesthetics, dark mode, automated driving, chat application, windshield display, user study, visual aesthetics, dark mode, automated driving, chat application, windshield display, user study",

author = "Riegler, {Andreas Ernst} and Andreas Riener and Clemens Holzmann",

note = "Funding Information: This work was supported by the University of Applied Sciences PhD program of the government of Upper Austria, the program was executed by the FFG. Publisher Copyright: {\textcopyright} Proceedings of the Mensch und Computer 2019 Workshop on Automotive HMIs: User Interface Research in the Age of New Digital Realities.; 19th German HCI Conference (MuC 2019) ; Conference date: 08-09-2019 Through 11-09-2019",

year = "2019",

doi = "10.18420/muc2019-ws-612",

language = "English",

series = "Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)",

publisher = "ACM Press",

pages = "421--428",

booktitle = "Proceedings of the 19th German HCI Conference (MuC 2019)",

url = "https://muc2019.mensch-und-computer.de/",

}

Riegler, AE, Riener, A & Holzmann, C 2019, Adaptive Dark Mode: Investigating Text and Transparency of Windshield Display Content for Automated Driving. in Proceedings of the 19th German HCI Conference (MuC 2019). Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI), ACM Press, pp. 421-428, 19th German HCI Conference (MuC 2019), Hamburg, Germany, 08.09.2019. https://doi.org/10.18420/muc2019-ws-612

Adaptive Dark Mode: Investigating Text and Transparency of Windshield Display Content for Automated Driving. / Riegler, Andreas Ernst; Riener, Andreas; Holzmann, Clemens.
Proceedings of the 19th German HCI Conference (MuC 2019). ACM Press, 2019. p. 421-428 (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)).

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review

TY - GEN

T1 - Adaptive Dark Mode: Investigating Text and Transparency of Windshield Display Content for Automated Driving

AU - Riegler, Andreas Ernst

AU - Riener, Andreas

AU - Holzmann, Clemens

N1 - Funding Information: This work was supported by the University of Applied Sciences PhD program of the government of Upper Austria, the program was executed by the FFG. Publisher Copyright: © Proceedings of the Mensch und Computer 2019 Workshop on Automotive HMIs: User Interface Research in the Age of New Digital Realities.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - visual aesthetics

KW - dark mode

KW - automated driving

KW - chat application

KW - windshield display

KW - user study

KW - visual aesthetics

KW - dark mode

KW - automated driving

KW - chat application

KW - windshield display

KW - user study

UR - http://www.scopus.com/inward/record.url?scp=85138672906&partnerID=8YFLogxK

U2 - 10.18420/muc2019-ws-612

DO - 10.18420/muc2019-ws-612

M3 - Conference contribution

T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)

SP - 421

EP - 428

BT - Proceedings of the 19th German HCI Conference (MuC 2019)

PB - ACM Press

T2 - 19th German HCI Conference (MuC 2019)

Y2 - 8 September 2019 through 11 September 2019

ER -

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this