Assessing Augmented Reality Selection Techniques for Passengers in Moving Vehicles: A Real-World User Study

Author:

Schramm Robin Connor1ORCID,Sasalovici Markus2ORCID,Hildebrand Axel3ORCID,Schwanecke Ulrich4ORCID

Affiliation:

1. Mercedes-Benz Tech Motion GmbH, Germany and RheinMain University of Applied Sciences, Germany

2. Mercedes-Benz Tech Motion GmbH, Germany and Institute of Media Informatics, Ulm University, Germany

3. Mercedes-Benz Tech Motion GmbH, Germany

4. RheinMain University of Applied Sciences, Germany

Publisher

ACM

Reference36 articles.

1. You Have a Point There

2. Abdul Rafey Aftab , Michael Von Der Beeck , Steven Rohrhirsch , Benoit Diotte , and Michael Feld . 2021 . Multimodal Fusion Using Deep Learning Applied to Driver’s Referencing of Outside-Vehicle Objects. In 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE, 1108–1115 . Abdul Rafey Aftab, Michael Von Der Beeck, Steven Rohrhirsch, Benoit Diotte, and Michael Feld. 2021. Multimodal Fusion Using Deep Learning Applied to Driver’s Referencing of Outside-Vehicle Objects. In 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE, 1108–1115.

3. Determining What Individual SUS Scores Mean: Adding an Adjective Rating Scale;Bangor Aaron;J. Usability Studies,2009

4. Advantages of eye-gaze over head-gaze-based selection in virtual and augmented reality under varying field of views

5. John Brooke . 1996. SUS-A quick and dirty usability scale. Usability evaluation in industry 189, 194 ( 1996 ), 4–7. John Brooke. 1996. SUS-A quick and dirty usability scale. Usability evaluation in industry 189, 194 (1996), 4–7.

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