AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction Studies-Reference-Cited by-同舟云学术

AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction Studies

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
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Author:

Jansen Pascal¹^ORCID,Britten Julian²^ORCID,Häusele Alexander¹^ORCID,Segschneider Thilo¹^ORCID,Colley Mark¹^ORCID,Rukzio Enrico³^ORCID

Affiliation:

1. Institute of Media Informatics, Ulm University, Germany

2. Ulm University, Germany

3. University of Ulm, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544548.3580760

Reference149 articles.

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2. Predictive Touch

3. Visual Methods for Analyzing Time-Oriented Data

4. akshaybahadur21. 2022. Drowsiness Detection OpenCV. Drowsiness_Detection. https://github.com/akshaybahadur21/Drowsiness_Detection(Accessed on 08/23/2022). akshaybahadur21. 2022. Drowsiness Detection OpenCV. Drowsiness_Detection. https://github.com/akshaybahadur21/Drowsiness_Detection(Accessed on 08/23/2022).

5. A Review of Recent Developments in Driver Drowsiness Detection Systems

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