Spot'Em: Interactive Data Labeling as a Means to Maintain Situation Awareness

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

Appropriate monitoring and successfully intervening when automation fails is one of the most critical issues in level 2 automated driving, since drivers suffer from low situation awareness when using such systems. To counter, we present a gamified in-vehicle interface based on ideas from previous work, where drivers have to support the vehicle by pointing at other traffic objects in the environment. We hypothesized that this system could help drivers in the monitoring task, maintain their situation awareness, and result in lower crash rates. We implemented a prototype of this system and evaluated it in a lab study with N=20 participants. The results indicate that participants were looking more intensively at lead vehicles and performed stronger braking actions. However, there was no measurable benefit on situation awareness and intervention performance in critical situations. We conclude by discussing differences to related experiments and present future ideas.

OriginalspracheEnglisch
Titel15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 - Main Conference Proceedings
Herausgeber (Verlag)Association for Computing Machinery
Seiten72-80
Seitenumfang9
ISBN (elektronisch)9798400701054
DOIs
PublikationsstatusVeröffentlicht - 18 Sep. 2023
Veranstaltung15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023 - Ingolstadt, Deutschland
Dauer: 18 Sep. 202321 Sep. 2023

Publikationsreihe

NameACM International Conference Proceeding Series

Konferenz

Konferenz15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2023
Land/GebietDeutschland
OrtIngolstadt
Zeitraum18.09.202321.09.2023

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