Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

 
 
DownloadE-Mail
  Using EEG to understand why behavior to auditory in-vehicle notifications differs across test environments

Chuang, L., Glatz, C., & Krupenia, S. (2017). Using EEG to understand why behavior to auditory in-vehicle notifications differs across test environments. In S. Boll, B. Pfleging, B. Donmez, I. Politis, & D. Large (Eds.), 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '17) (pp. 123-133). New York, NY, USA: ACM Press.

Item is

Basisdaten

einblenden: ausblenden:
Genre: Konferenzbeitrag

Externe Referenzen

einblenden:
ausblenden:
externe Referenz:
Link (beliebiger Volltext)
Beschreibung:
-
OA-Status:

Urheber

einblenden:
ausblenden:
 Urheber:
Chuang, LL1, 2, 3, Autor           
Glatz, C1, 2, 3, 4, Autor           
Krupenia, S, Autor
Affiliations:
1Project group: Cognition & Control in Human-Machine Systems, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528703              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
3Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
4Project group: Motion Perception & Simulation, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528705              

Inhalt

einblenden:
ausblenden:
Schlagwörter: -
 Zusammenfassung: In this study, we employ EEG methods to clarify why auditory notifications, which were designed for task management in highly automated trucks, resulted in different performance behavior, when deployed in two different test settings: (a) student volunteers in a lab environment, (b) professional truck drivers in a realistic vehicle simulator. Behavioral data showed that professional drivers were slower and less sensitive in identifying notifications compared to their counterparts. Such differences can be difficult to interpret and frustrates the deployment of implementations from the laboratory to more realistic settings. Our EEG recordings of brain activity reveal that these differences were not due to differences in the detection and recognition of the notifications. Instead, it was due to differences in EEG activity associated with response generation. Thus, we show how measuring brain activity can deliver insights into how notifications are processed, at a finer granularity than can be afforded by behavior alone.

Details

einblenden:
ausblenden:
Sprache(n):
 Datum: 2017-09
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1145/3122986.3123017
BibTex Citekey: ChuangGK2017
 Art des Abschluß: -

Veranstaltung

einblenden:
ausblenden:
Titel: 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '17)
Veranstaltungsort: Oldenburg, Germany
Start-/Enddatum: -

Entscheidung

einblenden:

Projektinformation

einblenden:

Quelle 1

einblenden:
ausblenden:
Titel: 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '17)
Genre der Quelle: Konferenzband
 Urheber:
Boll, S., Herausgeber
Pfleging, B., Herausgeber
Donmez, B., Herausgeber
Politis, I., Herausgeber
Large, D., Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: New York, NY, USA : ACM Press
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 123 - 133 Identifikator: ISBN: 978-1-4503-5150-8