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Conference object . 2022
License: CC BY
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https://doi.org/10.54941/ahfe1...
Article . 2022 . Peer-reviewed
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http://dx.doi.org/10.54941/ahf...
Conference object
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Is less really more? A user study on visual in-vehicle information systems in automated vehicles from a user experience and usability perspective

Authors: Stojmenova, Kristina; Jakus, Grega; Tomažič, Sašo; Sodnik, Jaka;

Is less really more? A user study on visual in-vehicle information systems in automated vehicles from a user experience and usability perspective

Abstract

Monitoring the environment is an essential part of driving, as it increases the driver's situational awareness and enables them to make appropriate decisions for safe and comfortable driving. This paper presents a study to investigate how much and in which way should information be displayed to the driver in a semi-automatic vehicle with a head-up display (HUD) to achieve optimal situational awareness. This was evaluated from two perspectives: the user's experience and perceived usability. It additionally explored the users preferences on which information should be displayed in such HUDs. For this purpose, four prototypes of a visual HUD were created, displaying different amounts of information (MIN vs. MAX) and presented in two different modes - as a two-dimensional (2D) projection on the windshield and using augmented reality (AR) to highlight the information directly in the environment. The obtained results gave a clear indication that the test participants preferred to have more information displayed on a HUD, regardless of whether it was presented in 2D or AR.

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Keywords

Visual Interface, Automated Vehicle, User-experience, Usability, User preference

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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