Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning

Seeliger, Arne ; Weibel, Raphael P. und Feuerriegel, Stefan (2024): Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning. In: International Journal of Human–Computer Interaction, Bd. 40, Nr. 3: S. 761-781

Abstract

Augmented reality (AR) using head-mounted displays (HMDs) is a powerful tool for user navigation. Existing approaches usually display navigational cues that are constantly visible (always-on). This limits real-world application, as visual cues can mask safety-critical objects. To address this challenge, we develop a context-adaptive system for safe navigation in AR using machine learning. Specifically, our system utilizes a neural network, trained to predict when to display visual cues during AR-based navigation. For this, we conducted two user studies. In User Study 1, we recorded training data from an AR HMD. In User Study 2, we compared our context-adaptive system to an always-on system. We find that our context-adaptive system enables task completion speeds on a par with the always-on system, promotes user autonomy, and facilitates safety through reduced visual noise. Overall, participants expressed their preference for our context-adaptive system in an industrial workplace setting.

• Dokumententyp: Zeitschriftenartikel
• Keywords: Artificial Intelligence, AI, Künstliche Intelligenz, KI
• Fakultät: Betriebswirtschaft > Institute of Artificial Intelligence (AI) in Management
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 000 Informatik, Wissen, Systeme
• ISSN: 1044-7318
• Bemerkung: Published online: 22 Sep 2022
• Sprache: Englisch